oil price volatility and stock price fluctuations in an emerging market evidence from south korea abstract how important are oil price fluctuations and oil price volatility on equity market performance what are the policy implications if volatility turns out to be significant we assess this issue in an economics finance nexus for korea using a vec model including interest rates economic activity real stock returns real oil prices and oil price volatility our main aim is to capture the effects of crude oil prices on the korean economy thoroughly covering the period of the asian financial crisis of 1997 which heavily affected the country and the oil price hikes in the early 1990s after the gulf war south korea was the country most hit by the financial crisis together with indonesia and thailand results indicate the dominance of oil price volatility on real stock returns and emphasize how this has increased over time oil price volatility can have profound effect on the time horizon of investment and firms need adjust their risk management procedures accordingly this increase in dependency has been found in other net oil importing emerging equity markets we test the relationship between oil price movements and economic activity by using modern time series techniques in a cointegrating framework we expand the standard error correction model by examining the dynamics of out of sample causality through the generalized variance decomposition and impulse response function techniques the evidence from persistence profiles also gives important guidelines based on how fast the entire system adjusts back to equilibrium in addition we find the cointegrating relationship to be stable and find that the linear error correction model to be more favorable than an asymmetric 2 period markov switching model

is renewable energy a model for powering eastern african countries transition to industrialization and urbanization abstract this study profiles a conversation on the appropriateness of renewable energy as a model for powering development in east african countries estimated output elasticities of nonrenewable energy 0 29 0 48 are by far larger than those of renewable energy 0 12 0 08 and as such highlights the relative importance of the former also the biased component of technical change shows higher technological progress for nonrenewable energy furthermore substitution elasticities are positive 0 77 0 92 suggesting huge potential for a transition towards renewable energy however inherent limitations in renewables documented in wesseh and lin 52 53 undermine the usefulness of east african countries reliance on renewable energy

estimates of inter fuel substitution possibilities in chinese chemical industry abstract the chemical sector is a key driver of china s remarkable growth record and accounts for about 10 of the country s gdp this has made the industry energy intensive and consequently a major contributor to greenhouse gas emissions ghg and other pollutants this study has attempted to investigate the potential for inter fuel substitution between coal oil natural gas and electricity in chinese chemical sector by employing a translog production and cost function ridge regression procedure was adopted to estimate the parameters of the function estimation results show that all energy inputs are substitutes in addition the study produces evidence that the significant role of coal in the chinese chemical fuel mix converges over time albeit slowly these results suggest that price based policies coupled with capital subsidy programs can be adopted to redirect technology use towards cleaner energy sources like electricity and natural gas hence retaining the ability to fuel the chemical sector while also mitigating ghg emissions notwithstanding one must understand that the extent to which substituting electricity for coal will be effective depends on the extent to which coal or oil is used in generating electricity the findings of this study provide general insights and underscore the importance of chinese government policies that focus on installed capacity of renewable electricity energy intensity targets as well as merger of enterprises

international evidence on crude oil price dynamics applications of arima garch models abstract we examine the usefulness of several arima garch models for modeling and forecasting the conditional mean and volatility of weekly crude oil spot prices in eleven international markets over the 1 2 1997 10 3 2009 period in particular we investigate the out of sample forecasting performance of four volatility models garch egarch and aparch and figarch over january 2009 to october 2009 forecasting results are somewhat mixed but in most cases the aparch model outperforms the others also conditional standard deviation captures the volatility in oil returns better than the traditional conditional variance finally shocks to conditional volatility dissipate at an exponential rate which is consistent with the covariance stationary garch models than the slow hyperbolic rate implied by the figarch alternative

time varying predictability in crude oil markets the case of gcc countries abstract this paper uses a time varying parameter model with generalized autoregressive conditional heteroscedasticity effects to examine the dynamic behavior of crude oil prices for the period february 7 1997 january 8 2010 using data from four countries of the gulf cooperation council we find evidence of short term predictability in oil price changes over time except for several short sub periods however the hypothesis of convergence towards weak form informational efficiency is rejected for all markets in addition we explore the possibility of structural breaks in the time paths of the estimated predictability indices and detect only one breakpoint for the oil markets in qatar and the united arab emirates our empirical results therefore call for new empirical research to further gauge the predictability characteristics and the determinants of oil price changes

optimal carbon taxes for china and implications for power generation welfare and the environment abstract china is expected to constitute about half of the world s emissions between 2010 and 2040 as concerns about climate change intensify the chinese government is poised to commit to a low carbon economy these conditions make china a suitable case in which to study how emission policies impact on energy supply welfare and the environment to achieve this purpose we incorporate abatement technologies into the gtap computable general equilibrium model and show that optimal taxes range between 0 03 for services and 2 02 for manufacturing in most cases simulated tax rates are by far higher than pollution taxes stipulated in the new chinese environmental tax law furthermore despite a decline in output of many sectors including the electricity sector overall welfare gains exist from introducing carbon taxes moreover these taxes reduce environmental pollution by approximately 62 5 in general carbon taxes are insufficient for mitigation in china and due to a coal dominant energy structure implementing these taxes leads to a decline in power generation hence the chinese aggressive investment strategy for renewable electricity technologies as stipulated in its 13th five year plan is understandable

oil and the macroeconomy since world war ii all but one of the u s recessions since world war ii have been preceded typically with a lag of around three fourths of a year by a dramatic increase in the price of crude petroleum this does not mean that oil shocks caused these recessions evidence is presented however that even over the period 1948 72 this correlation is statistically significant and nonspurious supporting the proposition that oil shocks were a contributing factor in at least some of the u s recessions prior to 1972 by extension energy price increases may account for much of post opec macroeconomic performance

a price discrimination theory of coupons the objective of this paper is to analyze the consumer s decision in electing to use cents off coupons distributed by manufacturers of consumer products arguing that the decision to use coupons is based on the tradeoff between costs of using coupons and the savings obtained it is shown that coupons can serve as a price discrimination device to provide a lower price to a particular segment of consumers based on a price theoretic model it is shown that the users of coupons are more price elastic than nonusers of coupons and that the opportunity cost of time and other household resource variables are determinant factors in consumers decisions implications derived from the model are tested using diary panel data

environmental policy and double dividend in a transitional economy abstract although the environmental benefit from implementing a climate tax is usually realized the economic dividend still remains a controversial issue warranting further research this is because the impact of an environmental policy on an economy wide system will depend on factors that differ from one region to the next in this paper we develop a static cge model for liberia that is capable of analyzing both a uniform and a partial carbon tax policy under the uniform policy instituted to ensure mitigation in the range of 20 50 an economic dividend is found for energy employment and welfare in particular energy consumption increases by between 5 and 15 5 respectively interestingly under a second best policy which exempts economically strategic sectors from the tax no economic dividend is found for all three variables this time energy use declines by between 2 and 9 these suggest that a uniform environmental tax policy is a more viable option for liberia in particular as it does not only generate economic dividend for employment and welfare it also incentivizes liberia s adoption and use of renewable energy technologies in general based on the results obtained further conditions for the feasibility of a double dividend are proposed

deriving target selection rules from endogenously selected samples one of the aims of direct marketing in practice is to target the most profitable customers in the database at hand this selection is often done based on observed behavior in the past as a consequence databases arising from the responses to direct mailings are not a random sample from all potential respondents when not all heterogeneity is observed part of the target selection rule will be based on the unobserved heterogeneity so selection is endogenous treating an endogenously selected sample as a random sample results in inconsistent parameter estimates which in general also harms the predictive performance of the model we develop an adjustment to the likelihood of the model that corrects for the endogenous sample selection we apply this technique to the selection of mail targets for a charitable organization in the application we also show that based on a model for the response rate and the amount donated simultaneously we can create a target selection rule that maximizes expected revenues such a selection rule outperforms selection rules based on response rates or donated amount only the traditional approach of maximizing response is therefore not the optimal approach to target selection

another look on the relationships between oil prices and energy prices this paper employs the quantile autoregressive distributed lags qardl model developed recently by cho et al 2015 to investigate the pass through of oil prices to a set of energy prices this approach allows analyzing simultaneously short term connections and long run cointegrating relationships across a range of quantiles it also provides insights on the short run predictive power of oil prices in predicting energy prices while accounting for the cointegration between oil prices and each of the considered energy prices in low medium and high quantiles two key findings emerge from this paper first all considered energy prices are shown to be cointegrated with oil price across quantiles meaning that a stationaryequilibriumrelationship exists between single energy price and oil price second we find evidence that oil price is a significant predictor of individual petroleum products prices and natural gas in the short run this paper has important policy implications for forecasters energy policy makers and portfolio managers

oil price shocks and stock markets in the u s and 13 european countries abstract oil price shocks have a statistically significant impact on real stock returns contemporaneously and or within the following month in the u s and 13 european countries over 1986 1 2005 12 norway as an oil exporter shows a statistically significantly positive response of real stock returns to an oil price increase the median result from variance decomposition analysis is that oil price shocks account for a statistically significant 6 of the volatility in real stock returns for many european countries but not for the u s increased volatility of oil prices significantly depresses real stock returns the contribution of oil price shocks to variability in real stock returns in the u s and most other countries is greater than that of interest rate an increase in real oil price is associated with a significant increase in the short term interest rate in the u s and eight out of 13 european countries within one or two months counter to findings for the u s and for norway there is little evidence of asymmetric effects on real stock returns of positive and negative oil price shocks for oil importing european countries

wavelet decomposition and regime shifts assessing the effects of crude oil shocks on stock market returns while there is a large body of empirical studies on the relationship between crude oil price changes and stock market returns they have failed to achieve a consensus on this subject in this paper we combine wavelet analysis and markov switching vector autoregressive ms var approach to explore the impact of the crude oil co shocks on the stock market returns for uk france and japan over the period from january 1989 to december 2007 our procedure involves the estimation of the extended ms var model in order to investigate the importance of the resultant wavelet filtering series after removing random components in determining the behavior of the stock market volatilities we show that co shocks do not affect the recession stock market phases except for japan however they significantly reduce moderate and or expansion stock market phases temporarily moreover this negative relationship appears to be more pronounced during the pre 1999 period the empirical findings will prove extremely useful to investors who need to understand the exact effect of international oil changes on certain stocks prices as well as for policy managers who need a more thorough evaluation about the efficiency of hedging policies affected by oil price changes

crude oil and stock markets stability instability and bubbles abstract we analyze the long run relationship between the world price of crude oil and international stock markets over 1971 1 2008 3 using a cointegrated vector error correction model with additional regressors allowing for endogenously identified breaks in the cointegrating and error correction matrices we find evidence for breaks after 1980 5 1988 1 and 1999 9 there is a clear long run relationship between these series for six oecd countries for 1971 1 1980 5 and 1988 2 1999 9 suggesting that stock market indices respond negatively to increases in the oil price in the long run during 1980 6 1988 1 we find relationships that are not statistically significantly different from either zero or from the relationships of the previous period the expected negative long run relationship appears to disintegrate after 1999 9 this finding supports a conjecture of change in the relationship between real oil price and real stock prices in the last decade compared to earlier years which may suggest the presence of several stock market bubbles and or oil price bubbles since the turn of the century

impact of oil price shocks on selected macroeconomic variables in nigeria abstract the impact of oil price shocks on the macroeconomy has received a great deal of attention since the 1970 s initially many empirical studies found a significant negative effect between oil price shocks and gdp but more recently empirical studies have reported an insignificant relationship between oil shocks and the macroeconomy a key feature of existing research is that it applies predominantly to advanced oil importing countries for oil exporting countries different conclusions are expected but this can only be ascertained empirically this study conducts an empirical analysis of the effects of oil price shocks on a developing country oil exporter nigeria our findings showed that oil price shocks do not have a major impact on most macroeconomic variables in nigeria the results of the granger causality tests impulse response functions and variance decomposition analysis all showed that different measures of linear and positive oil shocks have not caused output government expenditure inflation and the real exchange rate the tests support the existence of asymmetric effects of oil price shocks because we find that negative oil shocks significantly cause output and the real exchange rate

delving into liberia s energy economy technical change inter factor and inter fuel substitution abstract the industrial energy mix of liberia is dominated by petroleum products this has generated serious environmental problems contributing immensely to co 2 emissions and other pollutants in the country this study has attempted to investigate the potential for inter factor and inter fuel substitution between capital labor petroleum and electricity in liberia by employing a translog production and cost function approach ridge regression procedure has been adopted to estimate the parameters of the function due to multicollinearity in the data estimation results show that all inputs are substitutes these suggest that price based policies coupled with capital subsidy programs can be adopted to redirect technology use towards cleaner energy sources like electricity hence retaining the ability to fuel the economy while also mitigating greenhouse gas ghg emissions substitution between energy and labor and energy and capital implies that removal of price ceilings on energy in liberia would tend to reduce energy use and increase capital and labor intensiveness notwithstanding the study seems to show no evidence of convergence in relative technological progress of the four inputs implying that petroleum will continue to play a dominant role in the energy consumption mix of liberian industry while labor investment will continue to outweigh capital inputs finally the findings of this study provide general insights and underscore the importance of policies that focus on installed capacity of renewable electricity energy intensity targets as well as merger of enterprises

renewable energy technologies as beacon of cleaner production a real options valuation analysis for liberia abstract the importance of energy consumption for growth and development calls for improved decision support for a sustainable energy transition given africa s dependence on fossil fuels the economic and environmental savings from research development and deployment of renewable energy technologies may be substantial although the benefits of renewable energy technologies research development funding may appear to be low assuming immediate deployment the uncertainty in the non renewable energy price and the flexibility over timing makes research development program more appealing this study develops different scenarios in order to quantify benefits provided by research development funding for renewable power generation in liberia by using real options pricing approach to estimate the value of renewable energy technologies while taking into account the uncertainty of fossil fuel prices and learning by doing in renewable energy technologies the optimal solution shows that renewable energy technologies are economically attractive especially when external costs are internalized however annual research development funding is low and should be raised significantly in order to guarantee the highest possible investment incentives with minimal expenditures the study also hypothesizes that with the likelihood of renewable energy to replace non renewable energy renewable power use in liberia can potentially reduce carbon dioxide emissions by approximately 13 9 by 2015 compared to the 2008 levels the key insight provided by the real options analysis in this study is that while renewable energy may have inherent limitations such as seasonality of supply low energy content and capacity factor issues they still hold a significant amount of value which can only be detected when externalities are internalized thus underscoring the need for external costs related policies

the roles of inter fuel substitution and inter market contagion in driving energy prices evidences from china s coal market abstract coal has been dominating energy supply and consumption in china with the country becoming the largest energy supplier and consumer worldwide due to inter fuel substitution of crude oil and inter market contagion of international coal market china s coal price might be interrelated with crude oil price and international coal price however the precise roles of these two effects in determining china s coal price are unknown this paper contributes to previous literature by investigating this issue we find that co movements between china s coal price and crude oil price largely hinge on the shares of oil and coal in china s energy mix while its co movements with international coal price depend on scales of coal trade inter fuel substitution dominated the interaction of china s coal market with other energy types but the importance of inter market contagion has been increasing we also find that china might have become an originator for driving the returns of crude oil and international coal in particular after 2008 furthermore china s coal market is still a net volatility recipient for shocks from both crude oil market and international coal market given the increased integration of global energy markets we anticipate this paper to provide a better understanding on the dynamic changes in china s coal prices

is bitcoin a hedge a safe haven or a diversifier for oil price movements a comparison with gold abstract this study assesses the roles of bitcoin as a hedge a safe haven and or a diversifier against extreme oil price movements in comparison to the corresponding roles of gold we use a quantile on quantile regression approach to capture the dependence structure between the considered market returns under different bitcoin market conditions while considering nuances of oil price movements compared to gold our findings show that both bitcoin and gold would serve the roles of a hedge a safe haven and a diversifier for oil price movements however this property seems to be sensitive to the bitcoin s and gold s different bear normal or bull market conditions and to whether the oil price is in a downside normal or upside regime by controlling for new and relevant u s and global uncertainty indicators we confirm that both bitcoin and gold but not oil are assets where investors may park their cash during times of political and economic turmoil the conditional value at risk covar approach to risk management is then conducted providing robust evidence of the usefulness of each of the bitcoin and gold in expanded oil portfolios in terms of diversification opportunities and downside risk reductions

modeling asymmetric comovements of asset returns existing time varying covariance models usually impose strong restrictions on how past shocks affect the forecasted covariance matrix in this article we compare the restrictions imposed by the four most popular multivariate garch models and introduce a set of robust conditional moment tests to detect misspecification we demonstrate that the choice of a multivariate volatility model can lead to substantially different conclusions in any application that involves forecasting dynamic covariance matrices like estimating the optimal hedge ratio or deriving the risk minimizing portfolio we therefore introduce a general model which nests these four models and their natural asymmetric extensions the new model is applied to study the dynamic relation between large and small firm returns article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

spillovers between bitcoin and other assets during bear and bull markets this article contributes to the embryonic literature on the relations between bitcoin and conventional investments by studying return and volatility spillovers between this largest cryptocurrency a

does oil move equity prices a global view many studies indicate that oil price shocks have an adverse effect on real output and hence an adverse effect on corporate profits where oil is used as a key input the present study examines whether and to what extent the adverse effect of oil price shocks impacts stock market returns to this end we analyse 35 datastream global industry indices for the period from april 1983 to september 2005 our findings indicate that oil price rises have a negative impact on equity returns for all sectors except mining and oil and gas industries generally these results are consistent with economic theory and evidence provided by previous empirical studies little evidence of any asymmetry is detected in the oil price sensitivities in light of our findings we recommend that international portfolio investors consider hedging oil price risk

a real options valuation of chinese wind energy technologies for power generation do benefits from the feed in tariffs outweigh costs abstract in order to assess the viability of wind energy projects in china this paper takes a real options approach by accounting for flexibility over deployment of the technology in response to a stochastic non renewable energy cost the difference between the latter and the r d enhanced cost of renewable energy operation may be thought of as a benefit from using wind on the other hand the chinese government provides feed in tariffs to encourage further adoption of wind which should be included as a cost this work thus shows that there is substantial options value to china s wind energy program which is bolstered if the cost of carbon dioxide emissions is internalized moreover by varying the rate of feed in tariffs the model may be used to show plausible ranges for the feed in tariffs which could be a useful policy insight furthermore the study hypothesizes that with the likelihood of renewable energy to replace non renewable energy wind power in china can potentially reduce co2 emissions by approximately 6 4 by 2020 comparing to the 2005 level and highlights the significant role of wind power in china s emission targets and energy security this is a relevant paper especially given the importance of a sustainable energy transition for china more generally using the real options approach from a policy perspective could provide insights about the viability of renewable energy programs and robustness of feed in tariffs rates

oil prices inflation and interest rates in a structural cointegrated var model for the g 7 countries sharp increases in the price of oil are generally seen as a major contributor to business cycle asymmetries moreover the very recent highs registered in the world oil market are causing concern about possible slowdowns in the economic performance of the most developed countries in this paper a structural cointegrated var model has been considered for the g 7 countries in order to study the direct effects of oil price shocks on output and prices and the reaction of monetary variables to external shocks our results can be summarized as follows i a stationary money demand as suggested by the classic theory of money can be identified for most countries ii according to the estimated coefficients of the structural part of the model for all countries except japan and u k the null hypothesis of an influence of oil prices on the inflation rate cannot be rejected inflation rate shocks are transmitted to the real economy by increasing interest rates iii impulse response analysis suggests for most countries the existence of an instantaneous temporary effect of oil price innovations on prices iv impulse response functions indicate different monetary policy reactions to inflationary and growth shocks v the simulation exercises directed to estimate the total impact of the 1990 oil price shock indicate that for some countries u s a significant part of the effects of the oil price shock is due to the monetary policy reaction function for other countries canada france and italy however the total impact is offset at least in part by an easing of monetary conditions

nonparametric panel data model for crude oil and stock market prices in net oil importing countries abstract this paper introduces an innovative nonparametric panel data approach to model the long run relationship between the monthly oil price index and stock market price indices of ten large net oil importing countries namely the united states japan china south korea india germany france singapore italy and spain in the proposed model we allow the coefficient on the oil price index to be a time varying function which evolves over time in a way that is assumed to be unknown we also allow the common trend function to evolve over time as well as extending the model further to incorporate country specific trend functions we employ a data driven local linear method to estimate these time varying trend and coefficient functions the results show that despite being largely positive there are several downward trends reflecting the aftermath of the iraq war and the recent unprecedented drop in the oil price overall we find that the nonparametric panel data model better captures the way in which the underlying stock oil price relationship has evolved over time in comparison to the point estimates of the parametric counterpart moreover we find that stock market fundamentals play a significant role in determining the oil stock price relationship our findings have important implication for policymakers and financial speculators

forecasting volatility of crude oil markets abstract this article investigates the efficacy of a volatility model for three crude oil markets brent dubai and west texas intermediate wti with regard to its ability to forecast and identify volatility stylized facts in particular volatility persistence or long memory in this context we assess persistence in the volatility of the three crude oil prices using conditional volatility models the cgarch and figarch models are better equipped to capture persistence than are the garch and igarch models the cgarch and figarch models also provide superior performance in out of sample volatility forecasts we conclude that the cgarch and figarch models are useful for modeling and forecasting persistence in the volatility of crude oil prices

crude oil price and cryptocurrencies evidence of volatility connectedness and hedging strategy abstract this paper examines the volatility connectedness between crude oil spot prices and cryptocurrencies given that cryptocurrency markets are perceived as commodity markets there exist some levels of effects from and to other markets like the crude oil petroleum market using the var mgarch gjr bekk techniques and the wald tests we found evidence of bidirectional volatility spillover between the crude oil market and bit capital vendor as well as a unidirectional volatility spillover effect from crude oil market to bitcoin cash market and finally ethereum xrp and reddcoin cryptocurrency markets have a significant unidirectional volatility spillover to the crude oil markets in addition while the hedging potentials of crude oil assets on ethereum cryptocurrency may be short lived the crude oil asset hedging potentials for solve elastos and bit capital vendor are rather long lived into the future

oil price shocks and the dispersion hypothesis recent research by david lilien shows that a significant fraction of aggregate unemployment can be explained by the dispersion of employment growth across industries this paper presents two new results in this area first it is shown that a significant fraction of the variation in lilien s dispersion index is due to the differential impact of oil shocks across industries second and more important it is shown that once the dispersion in employment growth due to oil shocks is accounted for the residual dispersion has no explanatory power for unemployment

investigating household purchase timing decisions a conditional hazard function approach the purchase timing decision is an important component of the dynamics of a household s purchase behavior this decision is influenced by marketing and other variables and the modeling of this dependence has recently received attention in the literature in this paper we build on previous studies and develop a comprehensive stochastic model that incorporates the major factors influencing interpurchase times specifically we use a generalized version of cox s proportional hazard model to test among competing probability distributions for the interpurchase times while incorporating effects due to marketing variables observed household characteristics and unobserved heterogeneity across households the empirical finding from analyzing the iri coffee data suggests that the interpurchase times cannot be adequately described by probability distributions such as exponential erlang 2 or weibull the effects of unobserved heterogeneity are significant and they impact the estimates of the effects of the covariates we also find that a nonparametric procedure for estimating the effects of unobserved heterogeneity provides the best overall fit to the data and yields covariate estimates that are more consistent with prior expectations our model is validated by replicating the substantive empirical findings on an additional product category

long run equilibrium real exchange rates and oil prices abstract using cointegration and causality tests this paper demonstrates that the nonstationary behavior of us dollar real exchange rates over the post bretton woods era is due to the nonstationary behavior of real oil prices

can african countries efficiently build their economies on renewable energy abstract the translog production model is estimated to provide insights on the effectiveness of renewable energy for africa the analysis shows that capital labor renewable energy and nonrenewable energy drive output in african countries with renewable energy being a higher driver of growth than the conventional fossil fuels over the sample period this finding is reflective of the fact that renewable sources like wind hydro and solar account for a greater share of power generation in most african countries output elasticities computed for both energy types reaffirm the results and suggest that eastern and central african countries are more renewable energy dependent than the other three regions in addition technological progress is driven mainly by the efficiency with which various factors and energy inputs are used while africa has great potential of facing out conventional fossil energy the discussion provided in this study suggests that such transition is limited in practice due to issues of scale economics and sitting problems

estimating oil price value at risk using the historical simulation approach abstract in this paper we propose using value at risk var for oil price risk quantification var provides an estimation for the maximum oil price change associated with a likelihood level and can be used for designing risk management strategies we analyse three var calculation methods the historical simulation standard approach the historical simulation with arma forecasts hsaf approach developed in this paper and the variance covariance method based on autoregressive conditional heteroskedasticity models forecasts the results obtained indicate that hsaf methodology provides a flexible var quantification which fits the continuous oil price movements well and provides an efficient risk quantification

oil prices exchange rates and emerging stock markets abstract while two different streams of literature exist investigating 1 the relationship between oil prices and emerging market stock prices and 2 the relationship between oil prices and exchange rates relatively little is known about the dynamic relationship between oil prices exchange rates and emerging market stock prices this paper proposes and estimates a structural vector autoregression model to investigate the dynamic relationship between these variables impulse responses are calculated in two ways standard and the recently developed projection based methods the model supports stylized facts in particular positive shocks to oil prices tend to depress emerging market stock prices and us dollar exchange rates in the short run the model also captures stylized facts regarding movements in oil prices a positive oil production shock lowers oil prices while a positive shock to real economic activity increases oil prices there is also evidence that increases in emerging market stock prices increase oil prices

regime switching stochastic volatility evidence from the crude oil market this paper incorporates regime switching into the stochastic volatility sv framework in an attempt to explain the behavior of crude oil prices in order to forecast their volatility more specifically it models the volatility of oil return as a stochastic volatility process whose mean is subject to shifts in regime the shift is governed by a two state first order markov process the bayesian markov chain monte carlo method is used to estimate the models the main findings are first there is clear evidence of regime switching in the oil market ignoring it will lead to a false impression that the volatility is highly persistent and therefore highly predictable second incorporating regime switching into the sv framework significantly enhances the forecasting power of the sv model third the regime switching stochastic volatility model does a good job in capturing major events affecting the oil market

exogenous oil supply shocks how big are they and how much do they matter for the u s economy abstract the paper proposes a new measure of exogenous oil supply shocks the timing the magnitude and the sign of this measure may differ greatly from current state of the art estimates it is shown that only a small fraction of the observed oil price increases during oil crisis periods can be attributed to exogenous oil production disruptions exogenous oil supply shocks cause a sharp drop of u s real gdp growth after five quarters rather than an immediate and sustained reduction in economic growth and a spike in cpi inflation after three quarters overall exogenous oil supply shocks made remarkably little difference for the evolution of the u s economy since the 1970s although they did matter for some historical episodes

consistency tests of alternative measures of comparative advantage the commodity pattern of comparative advantage across countries is a central concept in international trade theory since the concept is based upon autarkic prices which are not observable in post trade equilibria its use in empirical research is most difficult the literature reports numerous alternative indices that purport to measure comparative advantage this paper examines the extent to which various measures are consistent using a large sample of trade flows the results have important implication for judging empirical studies based upon particular choices of a measure for comparative advantage

oil price shocks stock market economic activity and employment in greece abstract using a multivariate vector autoregression var approach this paper attempts to shed light into the dynamic relationship among oil prices real stock prices interest rates real economic activity and employment for greece the empirical evidence suggests that oil price changes affect real economic activity and employment oil prices are important in explaining stock price movements stock returns do not lead to changes in real activity and employment

relationship between oil prices interest rate and unemployment evidence from an emerging market abstract while the interrelation between oil price changes economic activity and employment is an important issue that has been studied mainly for developed countries little attention has been devoted to inquiries on fluctuations in the price of crude oil and its impact on employment for small open economies adopting an efficiency wage model for equilibrium employment that does not require any assumptions regarding labor supply this paper contributes to the literature by investigating the causality between unemployment and two input prices namely energy crude oil and capital real interest rate in an emerging market turkey for the period 2005 01 2009 08 applying a relatively new technique the toda yamamoto procedure we find that the real price of oil and interest rate improve the forecasts of unemployment in the long run this finding supports the hypothesis that labor is a substitute factor of production for capital and energy

valuing chinese feed in tariffs program for solar power generation a real options analysis newhuadu business school research fund china sustainable energy program g 1305 18257 national social science foundation of china 12zd059 ministry of education 10gbj013

dealing temporary price cuts by seller as a buyer discrimination mechanism this paper is concerned with temporary price cuts deals sales and specials as a mechanism for the seller to price discriminate between buyers with different intensities of demand we analyze why a seller offers such price cuts which buyers take advantage of them and what the parameters are that determine the amount and frequency of the discount offered in the remainder of this section we briefly review the literature on price deals 1 in section ii simple models of buyer and seller behavior are developed and we show why and how a seller adopts a dealing strategy section iii summarizes the key implications of the model and indicates how the price discrimination hypothesis could be tested in practice section iv suggests possible extensions of the model finally section v gives our conclusions in the marketing literature the issue of who is deal prone has been extensively researched an explanation for temporary price cuts usually called deals sales or specials is provided we hypothesize that they are a mechanism that discriminates between more intense and less intense demanders we further hypothesize a positive relationship between demand elasticity and holding costs buyers with more intense demand with high holding costs are those who will be buying the product at its regular price the low holdingcost buyers take advantage of deals by forward buying the model is applicable to three relationships 1 manufacturer reseller where the reseller may be a wholesaler or a retailer 2 resellerreseller for example wholesaler retailer and 3 retailer consumer we are grateful to michael mussa and albert madansky for their comments we also benefited from comments made by the marketing faculty of the wharton school at a seminar where an earlier version of this paper was presented neil beckwith in particular is acknowledged 1 for a more detailed review of deals and similar pricecutting mechanisms e g mail in rebates cents off labels coupons etc see narsimhan 1982 chan 2 journal of business 1985 vol 58 no 3 1985 by the university of chicago all rights reserved 0021 9398185 5803 0004 01 50

the linkages between oil market uncertainty and islamic stock markets evidence from quantile on quantile approach abstract in recent years islamic finance has become increasingly influential especially islamic stocks which have created huge investment attractiveness at the same time the financialization of oil has made the international oil market increasingly uncertain and more likely to affect other markets to effectively understand the correlation between the two markets we empirically analyze the cases of four typical countries from the perspective of oil market uncertainty this paper utilizes ovx as an accurate measure of oil market uncertainty and applies quantile on quantile approach to detect the asymmetric and heterogeneous relations between the variables our results show overall negative linkages between ovx changes and islamic stock returns and there is indeed asymmetry namely the effects of oil market uncertainty will be more pronounced when it is at higher quantiles further comparing the results of the selected four countries we find some heterogeneities oil importing countries are more sensitive than oil exporting countries and islamic countries are more sensitive than non islamic countries the findings of this article about the linkages between oil market uncertainty and islamic stock markets is meaningful to the research and financial practice in related fields

on the impacts of oil price fluctuations on european equity markets volatility spillover and hedging effectiveness the objective of this paper is to investigate the volatility spillovers between oil and stock markets in europe as not all industries are expected to be equally affected by oil price changes we conduct our study at both the aggregate as well as sector levels empirically we make use of a recently developed var garch approach which allows for transmissions in volatilities in addition we analyze the optimal weights and hedge ratios for oil stock portfolio holdings based on our results on the whole our findings show significant volatility spillovers between oil price and sector stock returns and suggest that a better understanding of those links is crucial for portfolio management in the presence of oil price risk

factor demand technical change and inter fuel substitution in africa abstract the translog production function has been widely used in applied production analysis due to its flexibility and superiority over other functional forms this study develops a translog production function for a group of african countries the random effects model is estimated using generalized least squares estimator the main findings are first output in africa is driven by a more intensive use of petroleum and electricity and to a lesser extent capital labor and coal relative to technological progress second african production technology exhibits increasing returns to scale suggesting a path towards market entry barriers third technical change is scale biased and factor augmenting albeit very slow fourth all energy inputs are substitutes indicating africa s potential to proportionally switch towards cleaner fuels without adversely affecting economic growth finally and perhaps more generally the study reinforces the assertion that imposing restrictions like homotheticity homogeneity or separability on the production technology is unrealistic and should rather be a testable hypothesis within any applied analysis in view of the documented findings relevant implications for africa are discussed

time aggregation and the distributional shape of unemployment duration this paper reports empirical evidence on the sensitivity of unemployment duration regression estimates to distributional assumptions and to time aggregation the results indicate that parameter estimates are robust to distributional assumptions while estimates of duration dependence are not time aggregation does not seem to have drastic effects on the estimates in a simple parametric model like the weibull but can produce dramatic changes in the more complicated extended generalized gamma model semiparametric models for grouped data produce stable estimates and perform much better than continuous time models in terms of significance at high levels of time aggregation

the incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market abstract this paper aims to investigate whether investor fear gauge ifg contains incremental information content for forecasting the volatility of crude oil futures for this purpose we use oil volatility index ovx to measure the ifg adding the ifg to existing heterogeneous autoregressive har models we develop many har models with ifg subsequently we employ these har models to predict the volatility of crude oil futures the results from the parameter estimation and out of sample forecasting show that the in sample and out of sample performances of har models with ifg are significantly better than their corresponding har models without ifg the results are robust in different ways thus the har models with ifg are more beneficial to the decision making of all participants including financial traders manufacturers and policymakers in the crude oil futures market more importantly the results suggest that the investor fear gauge has a significant positive effect on volatility forecasting and can help improve the performances of almost all the existing har models

some issues in the measurement of comparative advantage this paper examines measurement of revealed comparative advantage in the light of recent evidence that such measures appear to yield poor results and of recent theoretical developments evidence is presented that the poor performance of these measures is not likely to be attributable to problems predominantly associated with measurement itself recent theoretical developments make clearer what can be expected of observed trade flows a measure based on theory s ex antepredictions measures the behaviour of the measure is evaluated for a sample of uk industries in 1979

the macroeconomic effects of oil price fluctuations on a small open oil producing country the case of trinidad and tobago using vector autoregressive var methodology this paper empirically investigates the macroeconomic effects of oil price fluctuations on trinidad and tobago overall we find that the price of oil is a major determinant of economic activity of the country our impulse response functions suggest that following a positive oil price shock output falls within the first two years followed by positive and growing response we also investigate the macroeconomic impact of oil price volatility results suggest that an unanticipated shock to oil price volatility brings about random swings in the macroeconomy however only government revenue and the price level exhibit significant responses with regard to the magnitude of the responses shocks to oil price volatility tend to yield smaller macroeconomic impacts in comparison to shocks to oil prices variance decompositions suggest that the price of oil is a major component of forecast variation for most macroeconomic variables finally granger causality tests indicate causality from oil prices to output and oil prices to government revenue

are there exploitable inefficiencies in the futures market for oil if the crude oil futures market is not efficient in the fama sense profitable trading opportunities may exist this paper uses an artificial neural network model with moving average crossover inputs to predict price in the crude oil futures market the predictions of price are used to construct buy and sell signals for traders compared to those of benchmark models cumulative returns year to year returns returns over a market cycle and sharpe ratios all favor the ann model by a large factor the significant profitability of the ann model casts doubt on the efficiency of the oil futures market

a probabilistic choice model for market segmentation and elasticity structure marketing scholars commonly characterize market structure by studying the patterns of substitution implied by brand switching though the approach is useful it typically ignores the destabilizing

oil prices and the rise and fall of the us real exchange rate abstract questions of the relative importance of real vs monetary shocks in explaining exchange rate movements still have no widely accepted answer despite their importance both for the research agenda and for policy questions we examine this issue using a variety of empirical techniques for the us effective exchange rate we find that a stable link exists between oil price shocks and the us real effective exchange rate over the post bretton woods period the results suggest that oil prices may have been the dominant source of persistent real exchange rate shocks and that energy prices may have important implications for future work on exchange rate behavior

oil price shocks and real gdp growth empirical evidence for some oecd countries this study assesses empirically the effects of oil price shocks on the real economic activity of the main industrialized countries multivariate var analysis is carried out using both linear and non linear models the latter category includes three approaches employed in the literature namely the asymmetric scaled and net specifications evidence of a non linear impact of oil prices on real gdp is found in particular oil price increases are found to have an impact on gdp growth of a larger magnitude than that of oil price declines with the latter being statistically insignificant in most cases among oil importing countries oil price increases are found to have a negative impact on economic activity in all cases but japan moreover the effect of oil shocks on gdp growth differs between the two oil exporting countries in the sample with the uk being negatively affected by an oil price increase and norway benefiting from it

refined oil import subsidies removal in ghana a triple win abstract in this study claims and counterclaims that fossil fuel subsidies removal yields benefits in terms of budget deficits energy efficiency and mitigation are assessed in order to do this a global computable general equilibrium cge model has been estimated to evaluate the impact of subsidies removal on imported refined oil in ghana on prices carbon dioxide co 2 emissions households demand firm s production and real gdp the simulation experiment points to evidence that subsidy removal raises prices increases the rate of co 2 emissions reduces households demand reduces aggregate output and affects various sectors differently the increased rate of co 2 emissions due to the removal of subsidies is indicative of the existence of the so called green paradox these results underscore the fact that a removal of subsidies on fossil fuels may win in some regards but fail in others a general implication from the applied model therefore is one which supports the assertion that removal of subsidies on fossil fuels removal on energy should be implemented along with policies aimed at stimulating economic activities and reducing the level of co 2 emissions especially where there is evidence of the green paradox

crude oil and the macroeconomy tests of some popular notions a note perhaps no other economic events in the post world war ii era have generated as much attention as the series of crude oil price shocks that have jolted the world economy since the opec boycott of 1973 a tremendous amount of space in the popular and professional literature has been devoted to analyzing the impacts of these shocks on the developed economies and the adjustments these shocks have induced one residual of this literature has been a general impression that since 1973 the functional relationship between crude oil prices and the developed macroeconomies has been dramatically and fundamentally altered yet to our knowledge no one has formally tested this impression recent evidence of hamilton 1983 suggests that crude oil prices had a strong impact on the u s business cycle well before 1973 further while textbook treatments of oil price shocks tend to highlight cost push inflationary effects the research of berndt and wood 1975 1979 and wilcox 1983 indicates the net complementarity between energy and capital in the u s economy is quite strong both before and after 1973 thus oil price shocks may have stronger real effects than generally believed in this paper we formally test three popular notions associated with the so called

is bitcoin a commodity on price jumps demand shocks and certainty of supply abstract this paper discusses how similar bitcoin is to a commodity the application of a number of both linear and non linear garch models indicates that the role of extreme price movements is particularly pronounced garch models with student t innovations as well as combined jump garch models are among the models with the best fit the role of large movements is found to be stronger in the bitcoin market than in the markets for crude oil and gold as bitcoin shares with these exhaustible resource commodities characteristics such as the fixed supply the analysis of bitcoin prices can generally learn from the analysis of exhaustible resource commodities however whereas the short run supply of gold and oil are uncertain there are no uncertainties on the bitcoin supply side thus the observed movements of bitcoin prices can be interpreted as results of bitcoin demand shocks

output and substitution elasticities of energy and implications for renewable energy expansion in the ecowas region abstract this study estimates output and substitution elasticities of renewable energy and nonrenewable energy for the economic community of west african states ecowas and discusses implications for expanding the former the results show that nonrenewable energy promises greater benefits for ecowas economic transition with output elasticities averaging between 0 052 0 579 and 0 055 to 0 223 for nonrenewable energy and renewable energy respectively overall estimated technological progress is low 0 5 to 2 6 the bulk coming from input efficiency substitution elasticities 0 02 0 94 suggest potential for switching towards renewable energy notwithstanding scale economics and sitting problems inherent in renewable power generation challenge the opportunities for energy substitution a sustainable policy solution therefore appears to be one favoring scaled and efficient electricity generation from fossil energy in the short run with a gradual switch towards renewable power in the long run in general the applied model provides insights that energy efficiency enhances sustainable growth by propelling technological advancement especially when technical change is scale biased and factor augmenting the study also provides insights that impacts of exogenous shocks to inputs are temporary and hence do not jeopardize efforts aimed at scaling output through increased and efficient use of labor capital and energy especially nonrenewable energy

empirical relevance of the hillman condition for revealed comparative advantage 10 stylized facts the theoretically necessary and sufficient condition for the correspondence between revealed comparative advantage and pre trade relative prices derived by hillman 1980 is analysed empirically for virtually all countries of the world over an extended period of time this yields 10 stylized facts including that i violations of the hillman condition are small as a share of the number of observations but substantial as a share of the value of world exports ii violations occur relatively frequently in the period 1970 1984 and more rarely in the period 1985 1997 and iii violations occur foremost in primary product and natural resource intensive sectors and for countries in africa the middle east latin america and central and eastern europe an additional bonus of verifying the hillman condition in empirical research is its ability to identify erroneously classified trade flows

modelling multivariate international tourism demand and volatility international tourism demand which is typically measured as tourist arrivals to australia has experienced dramatic fluctuations in recent years due to changes in the economic financial and political environment however variations in tourism demand specifically the conditional variance or volatility have not previously been investigated in the tourism literature an analysis of such volatility is essential for investigating the effects of shocks in tourism demand models this paper models the conditional mean and conditional variance of the logarithm of the monthly tourist arrival rate from the four leading tourism source countries to australia namely japan new zealand uk and usa using three multivariate static or constant conditional correlation ccc volatility models specifically the symmetric ccc mgarch model of rev econ stat 72 1990 498 symmetric vector arma garch model of econ theory 19 2003 278 and asymmetric vector arma agarch model of australasian meeting of the econometric society brisbane australia 2002 monthly data from july 1975 to 2000 are used in the empirical analysis the results suggest the presence of interdependent effects in the conditional variances between the four leading countries and asymmetric effects of shocks in two of the four countries this is an important result as it emphasizes interdependencies between major tourism source countries as well as the asymmetric effects of positive and negative shocks in tourism demand the estimated ccc matrices for the three models are not substantially different from each other which confirms the robustness of the estimates to alternative specifications of the multivariate conditional variance

separating bric using islamic stocks and crude oil dynamic conditional correlation and volatility spillover analysis abstract this paper explores the dynamic conditional correlation and volatility linkage between islamic indexes and oil for bric countries correlations between these assets increase during the global financial crisis for india and china but not for brazil and russia the volatility error forecast variance of all five indexes comes from spillover but is much lower compared to volatility spillover between conventional indexes and oil hedging performance of islamic indexes are superior in india and china compared to conventional indexes in emerging markets an optimal minimum variance portfolio without reducing expected return can be achieved by investing in lower weights of bric islamic indexes and oil compared to conventional indexes

hedging emerging market stock prices with oil gold vix and bonds a comparison between dcc adcc and go garch while much research uses multivariate garch to model volatility dynamics and risk measures one particular type of multivariate garch model go garch has been underutilized this paper uses dcc adcc and go garch to model volatilities and conditional correlations between emerging market stock prices oil prices vix gold prices and bond prices a rolling window analysis is used to construct out of sample one step ahead forecasts of dynamic conditional correlations and optimal hedge ratios in most of the situations we study oil is the best asset to hedge emerging market stock prices hedge ratios from the adcc model are preferred most effective for hedging emerging market stock prices with oil vix or bonds hedge ratios estimated from the go garch are most effective for hedging emerging market stock prices with gold in some instances these results are reasonably robust to choice of model refits forecast length and distributional assumptions

reform of refined oil product pricing mechanism and energy rebound effect for passenger transportation in china new huadu business school research fund china sustainable energy program of the energy foundation g 1203 15828 national social science foundation of china 12zd059 ministry of education 10gbj013

locational advantage and us foreign direct investment in uk manufacturing the relationship between foreign direct investment fdi and international trade is examined with specific reference to us fdi in the uk four complementary hypotheses are tested on a cross section of uk industries there is evidence of us fdi being located in uk industries which have a revealed comparative advantage and that large market size effects are important on the other hand little evidence was found for the protection jumping and industrial concentration hypotheses

energy risk management and value at risk modeling abstract the value of energy trades can change over time with market conditions and underlying price variables the rise of competition and deregulation in energy markets has led to relatively free energy markets that are characterized by high price shifts within oil markets the volatile oil price environment after opec agreements in the 1970s requires a risk quantification value at risk has become an essential tool for this end when quantifying market risk there are various methods for calculating value at risk the methods we introduced in this paper are historical simulation arma forecasting and variance covariance based on garch modeling approaches the results show that among various approaches the hsaf methodology presents more efficient results so that if the level of confidence is 99 the value at risk calculated through hsaf methodology is greater than actual price changes in almost 97 6 percent of the forecasting period

oil price fluctuation volatility spillover and the ghanaian equity market implication for portfolio management and hedging effectiveness abstract this study attempts to contribute to the literature on stock markets and energy prices by examining the dynamic volatility and volatility transmission between oil and ghanaian stock market returns in a multivariate setting using the recently developed var garch var agarch and dcc garch frameworks in turn the models results are used to compute and analyze the optimal weights and hedge ratios for oil stock portfolio holdings for comparison purposes and to put the paper more in the perspective of west africa the nigerian stock market is also included in the analysis our findings point to the existence of significant volatility spillover and interdependence between oil and the two stock market returns while spillover effects are stronger for nigeria the transmission of volatility is much more apparent from oil to stock than from stock to oil in the case of ghana also the study demonstrates evidence of short term predictability in oil and stock price changes through time and reveals that conditional volatility changes more rapidly as result of substantial effects of past volatility rather than past news shocks for all market returns moreover we show that there is a slightly more effective hedge in the two stock markets under the dcc garch framework our preferred model compared to the other two models although hedging effectiveness is much greater for ghana on the whole our findings for optimal hedge ratios are consistent with other studies and particularly the view that oil assets should be an integral part of a diversified portfolio of stocks and suggest that a better understanding of volatility links is crucial for portfolio management in the presence of oil price risk finally the existence of multivariate asymmetric effects and dynamic conditional correlations as revealed by the var agarch and dcc garch models make it clear that the assumptions of symmetric effects and constant conditional correlations are not supported empirically

reassessing brand loyalty price sensitivity and merchandising effects on consumer brand choice this article reports the results of an empirical study of household brand choices over four scanner panel data sets the study uses a random effects autocorrelated logistic regression model the analysis presents evidence that the brand choice process is not zero order in addition the influence of in store displays and feature advertisements on switching is shown to be about two to three times more effective than estimates obtained from previous studies finally the analysis indicates systematic differences between frequent and infrequent buyers of products in terms of their sensitivity to price displays and feature advertising

do structural oil market shocks affect stock prices abstract this paper investigates how explicit structural shocks that characterize the endogenous character of oil price changes affect stock market returns in a sample of eight countries australia canada france germany italy japan the united kingdom and the united states for each country the analysis proceeds in two steps first modifying the procedure of kilian kilian l forthcoming not all oil price shocks are alike disentangling demand and supply shocks in the crude oil market american economic review we employ a vector error correction or vector autoregressive model to decompose oil price changes into three components oil supply shocks global aggregate demand shocks and global oil demand shocks the last component relates to specific idiosyncratic features of the oil market such as changes in the precautionary demand concerning the uncertainty about the availability of future oil supplies second recovering the oil supply shocks global aggregate demand shocks and global oil demand shocks from the first analysis we then employ a vector autoregressive model to determine the effects of these structural shocks on the stock market returns in our sample of eight countries we find that international stock market returns do not respond in a large way to oil market shocks that is the significant effects that exist prove small in magnitude

oil prices and the stock prices of alternative energy companies energy security issues coupled with increased concern over the natural environment are driving factors behind oil price movements while it is widely accepted that rising oil prices are good for the financial performance of alternative energy companies there has been relatively little statistical work done to measure just how sensitive the financial performance of alternative energy companies are to changes in oil prices in this paper a four variable vector autoregression model is developed and estimated in order to investigate the empirical relationship between alternative energy stock prices technology stock prices oil prices and interest rates our results show technology stock prices and oil prices each individually granger cause the stock prices of alternative energy companies simulation results show that a shock to technology stock prices has a larger impact on alternative energy stock prices than does a shock to oil prices these results should be of use to investors managers and policy makers

causal independence between energy consumption and economic growth in liberia evidence from a non parametric bootstrapped causality test abstract this contribution investigates causal interdependence between energy consumption and economic growth in liberia and proposes application of a bootstrap methodology to better reflect causality employment is incorporated as additional variable the study demonstrates evidence of distinct bidirectional granger causality between energy consumption and economic growth additionally the results show that employment in liberia granger causes economic growth and apply irrespective of the short run or long run evidence from a monte carlo experiment reveals that the asymptotic granger causality test suffers size distortion problem for liberian data suggesting that the bootstrap technique employed in this study is more appropriate given the empirical results implications are that energy expansion policies like energy subsidy or low energy tariff for instance would be necessary to cope with demand exerted as a result of economic growth in liberia furthermore liberia might have the performance of its employment generation on the economy partly determined by adequate energy therefore it seems fully justified that a quick shift towards energy production based on clean energy sources may significantly slow down economic growth in liberia hence the government s target to implement a long term strategy to make liberia a carbon neutral country and eventually less carbon dependent by 2050 is understandable

the outlook for us oil dependence abstract oil dependence is defined as a dynamic problem of short and long run market power the potential monopoly power of an oil cartel depends on its market share and the elasticities of oil supply and demand while the economic vulnerability of oil consuming states depends most directly on the quantity of oil imported and the oil cost share of gross domestic product gdp of these factors only the market share of the organization of petroleum exporting countries opec cartel and the rate of growth of world oil demand are clearly different than they were 25 years ago opec still holds the majority of world oil and in the future will regain market share a hypothetical 2 year supply reduction in 2005 2006 similar in size to those of 1973 1974 or 1979 1980 illustrates the potential benefits to opec and harm to the us economy of a future oil price shock opec s revenues are estimated to increase by roughly 0 7 trillion while the us economy loses about 0 5 trillion strategic petroleum reserves seem ineffective against a determined multi year supply curtailment increasing the market s price responsiveness by improving the technologies of oil supply and oil demand can greatly reduce the costs of oil dependence each element of this interpretation of the oil dependence problem is well supported by previous studies this paper s contribution is to unite these elements into a coherent explanation and to point out the enormously important implications for energy policy

time varying volatility spillover between chinese fuel oil and stock index futures markets based on a dcc garch model with a semi nonparametric approach abstract this paper reveals some new evidence on the volatility spillover between fuel oil and stock index futures markets in china by considering its time variant feature time varying effect is specified by the legendre polynomials in a dcc garch model moreover the semi nonparametric snp approach accounting for marginal excess kurtosis and asymmetry is applied we find different time evolving patterns of volatility spillover across multiple periods due to the structural breaks the direction of mean volatility spillover is found to be bilateral moreover the strength of mean volatility spillover shows that the effect from stock index to fuel oil futures is much stronger than the other way around this implies that the stock index futures market plays a leading role in information processing these findings have important implications for the fuel oil stakeholders as well as risk management

complementarities of trade advantage and trade competitiveness measures the complementarities of trade advantage and trade competitiveness measures for agro food trade of five central european ce 5 countries with the european union are analysed the stability and duration of the trade measures over time is investigated by the survival analysis using the nonparametric kaplan meier product limit estimator and the consistency test between the trade measures is conducted by the stratified cox proportional hazard model the ce 5 countries experienced a greater number of products with relative trade disadvantages and greater significance of one way imports unlike the czech republic poland slovakia and slovenia hungary experienced relative trade advantages rtas for bulk raw commodities processed intermediates and horticulture with the greatest significance of successful quality competition and one way exports and the lowest significance of unsuccessful price and unsuccessful quality competition the duration of rtas is longer than the duration for the successful trade co

modelling profitability using survival combination scores abstract the paper presents the first empirical investigation of the relationship between present value of net revenue from a revolving credit account and times to default and to second purchase the analysis is based on the data for a store card which is used to buy white durable goods in germany it is demonstrated that there exists a relationship between the above given measures it appears that there is a scope for improving profit if an application for a store card is assessed by using a model which estimates the revenue and includes the survival probability of default and the survival probability of second purchase a survival combination model rather than merely a static probability of default predicted by a logistic regression

value at risk estimations of energy commodities via long memory asymmetry and fat tailed garch models abstract in this paper we evaluate the value at risk var and the expected shortfalls for some major crude oil and gas commodities for both short and long trading positions classical var estimations as well as riskmetrics and other extensions to cases considering for long range memory asymmetry and fat tail in energy markets volatility were conducted we computed the var for three arch garch type models including figarch fiaparch and hygarch these models were estimated in the presence of three alternative innovation s distributions normal student and skewed student our results show that considering for long range memory fat tails and asymmetry performs better in predicting a one day ahead var for both short and long trading positions moreover the fiaparch model outperforms the other models in the var s prediction these results present several potential implications for energy markets risk quantifications and hedging strategies

modeling and forecasting crude oil markets using arch type models this study investigates the time varying volatility of two major crude oil markets the west texas intermediate wti and europe brent a flexible autoregressive conditional heteroskedasticity arch model is used to take into account the stylized volatility facts such as clustering volatility asymmetric news impact and long memory volatility among others the empirical results indicate that the intensity of long persistence volatility in the wti is greater than in the brent it is also found that for the wti the appreciation and depreciation shocks of the wti have similar impact on the resulting volatility however a leverage effect is found in brent although both the estimation and diagnostic evaluations are in favor of an asymmetric long memory arch model only the wti models provide superior in the out of sample forecasts on the other hand from the empirical out of sample forecasts it appears that the simplest parsimonious generalized arch provides the best forecasted evaluations for the brent crude oil data

volatility in crude oil futures a comparison of the predictive ability of garch and implied volatility models the wti future contract quoted at the nymex is the most actively traded instrument in the energy sector this paper compares the predictive ability of two approaches which can be used to forecast volatility garch type models where forecasts are obtained after estimating time series models and an implied volatility model where forecasts are obtained by inverting one of the models used to price options although the main scope of the research discussed here is to evaluate which model produces the best forecast of volatility for the wti future contract evaluated according to statistical and regression based criteria we also investigate whether volatility of the oil futures are affected by asymmetric effects whether parameters of the garch models are influenced by the distribution of the errors and whether allowing for a time varying long run mean in the volatility produces any improvement on the forecast obtained from garch models

the asymmetry of the impact of oil price shocks on economic activities an application of the multivariate threshold model this paper applies the multivariate threshold model to investigate the impacts of an oil price change and its volatility on economic activities changes in industrial production and real stock returns the statistical test on the existence of a threshold effect indicates that a threshold value does exist using monthly data of the us canada and japan during the period from 1970 to 2002 we conclude i the optimal threshold level seems to vary according to how an economy depends on imported oil and the attitude towards adopting energy saving technology ii an oil price change or its volatility has a limited impact on the economies if the change is below the threshold levels iii if the change is above threshold levels it appears that the change in oil price better explains macroeconomic variables than the volatility of the oil price and iv if the change is above threshold levels a change in oil price or its volatility explains the model better than the real interest rate

the value of purchase history data in target marketing an important aspect of marketing practice is the targeting of consumer segments for differential promotional activity the premise of this activity is that there exist distinct segments of homogeneous consumers who can be identified by readily available demographic information the increased availability of individual consumer panel data open the possibility of direct targeting of individual households the goal of this paper is to assess the information content of various information sets available for direct marketing purposes information on the consumer is obtained from the current and past purchase history as well as demographic characteristics we consider the situation in which the marketer may have access to a reasonably long purchase history which includes both the products purchased and information on the causal environment short of this complete purchase history we also consider more limited information sets which consist of only the current purchase occasion or only information on past product choice without causal variables proper evaluation of this information requires a flexible model of heterogeneity which can accommodate observable and unobservable heterogeneity as well as produce household level inferences for targeting purposes we develop new econometric methods to implement a random coefficient choice model in which the heterogeneity distribution is related to observable demographics we couple this approach to modeling heterogeneity with a target couponing problem in which coupons are customized to specific households on the basis of various information sets the couponing problem allows us to place a monetary value on the information sets our results indicate there exists a tremendous potential for improving the profitability of direct marketing efforts by more fully utilizing household purchase histories even rather short purchase histories can produce a net gain in revenue from target couponing which is 2 5 times the gain from blanket couponing the most popular current electronic couponing trigger strategy uses only one observation to customize the delivery of coupons surprisingly even the information contained in observing one purchase occasion boasts net couponing revenue by 50 more than that which would be gained by the blanket strategy this result coupled with increased competitive pressures will force targeted marketing strategies to become much more prevalent in the future than they are today

truth in concentration in the land of 80 20 laws among the more prominent truisms in marketing are 80 20 type laws e g 20 percent of the customers account for 80 percent of the purchases these kinds of statistics indicate a certain degree of concentration in customer purchases i e the extent to which a large portion of the product s total purchases are made by a small fraction of all customers such concentration levels suggesting that markets can be segmented in various ways are often reported in basic marketing texts we show that a meaningful interpretation of these concentration statistics is not nearly as easy or immediate as it is to compute them the key factors influencing the degree of apparent concentration in purchases are reviewed and we present a modeling approach for estimating the true level of relevant concentration among customers

the decomposition of promotional response an empirical generalization price promotions are used extensively in marketing for one simple reason consumers respond the sales increase for a brand on promotion could be due to consumers accelerating their purchases i e buying earlier than usual and or buying more than usual and or consumers switching their choice from other brands purchase acceleration and brand switching relate to the primary demand and secondary demand effects of a promotion gupta 1988 captures these effects in a single model and decomposes a brand s total price elasticity into these components he reports for the coffee product category that the main impact of a price promotion is on brand choice 84 and that there is a smaller impact on purchase incidence 14 and stockpiling 2 in other words the majority of the effect of a promotion is at the secondary level 84 and there is a relatively small primary demand effect 16 this paper reports the decomposition of total price elasticity for 173 brands across 13 different product categories on average we find that 25 of the elasticity is due to primary demand expansion i e purchase acceleration and 75 to secondary demand effects or brand switching thus while gupta s finding that the majority of promotional response stems from brand switching is supported the average magnitude of the effect appears to be smaller than first thought more important there is ample evidence that promotions have a significant primary demand effect the relative emphasis on purchase acceleration and brand switching varies systematically across categories and the second goal of the paper is to explain this variation as a function of exogeneous covariates in doing this we recognize that promotional response is the consumer s reaction to a price promotion and therefore develop a framework for understanding variability in promotional response that is based on the consumer s perspective of the benefits from a price promotion these benefits are posited to be a function of i category specific factors ii brand specific factors and iii consumer characteristics the framework is formalized as a generalized least squares meta analysis in which the brand s price elasticity is the dependent variable several interesting results emerge from this analysis category specific factors brand specific factors and consumer demographics explain a significant amount of the variance in promotional response for a brand at both the primary and secondary demand levels category specific factors have greater influence on variability in promotional response and its decomposition than do brand specific factors there are several instances where exogenous variables do not affect total elasticities yet significantly affect individual components of total elasticity in fact the lack of a significant relationship between the variables and total elasticity is often due to offsetting effects within two or more of the three behavioral components of elasticity this is particularly true for brand specific factors which typically have no effect on total elasticity yet have important effects on the individual behaviors there is some evidence to suggest that not all promotion related increases in primary demand are due to forward buying in some cases promotions appear to increase consumption we use these results to illustrate how category and brand specific factors work to drive primary and secondary demand elasticities in different directions in short this paper offers an empirical generalization of a key finding on promotional response how elasticities decompose across brand choice purchase incidence and stockpiling and new insights into factors that explain variance in promotional response these findings are likely to be of interest to researchers who are concerned with theory development and the generalizability of marketing phenomena and to managers who plan promotion campaigns

a segment level hazard approach to studying household purchase timing decisions the increasing availability of customer level data and the willingness of marketers to customize the timing of their offers to consumers makes the accurate segment level description of household purchase timing decisions a compelling issue in this paper we employ a finite mixture accelerated failure time model to identify and characterize household segments in terms of their purchasing rates and their propensity to accelerate purchases due to marketing mix activities such an approach also promises to alleviate possible aggregation problems arising from the use of a common hazard rate for all households an application to household panel data suggested that infrequent buyers show higher propensity to accelerate than frequent buyers do and that positive duration effects are underestimated when not accounting for segment specific hazard rates copyright 2002 john wiley sons ltd