the importance of managerial ability on crude oil price uncertainty firm performance relationship abstract this paper investigates the effect of crude oil price uncertainty on firm performance and how the managerial ability impacts on this relationship using a large sample of 13 610 u s firms from 1983 to 2016 we reveal two main findings consistent with our hypothesis we find strong evidence for a negative effect of crude oil price uncertainty on firm performance at both aggregate market and sectoral levels however managerial ability helps firms dampen a significant proportion approximately 20 50 of the negative effect these findings are consistent in several robustness tests

the crucial relationship among energy commodity prices evidence from the spanish electricity market the main purpose of this article is twofold to analyze a the long term relation among the commodities prices and between spot electricity market price and commodity prices and b the short term dynamics among commodity prices and between electricity prices and commodity prices data between 2002 and 2005 from the spanish electricity market was used econometric methods were used in the analysis of the commodity spot price namely the vector autoregression model the vector error correction model and the granger causality test the co integration approach was used to analyze the long term relationship between the common stochastic trends of four fossil fuel prices one of the findings in the long term relation is that the prices of fuel and the prices of brent are intertwined though the prices of brent ten to move to reestablish the price equilibrium another finding is that the price of electricity is explained by the evolution of the natural gas series

quantile relationship between oil and stock returns evidence from emerging and frontier stock markets abstract this study extends the literature on the asymmetric effect of oil price fluctuations on emerging and frontier stock markets via a quantile on quantile approach that allows to capture normal and extreme states in each respective market we find that oil risk exposures are heterogeneous across the emerging and frontier stock markets and indeed display quantile specific characteristics observing uniform patterns of oil risk exposures within groups of countries that include both importers and exporters we argue that oil price risk serves as a systematic risk proxy capturing the market s concerns regarding global growth expectations rather than a simple import export commodity our findings suggest that signals from the oil market either via measures of trading activity in oil futures or changes in basis values could be utilized by policy makers to improve models of stock market volatility

commodities momentum a behavioral perspective the growth in commodity related investments has sparked interest in the performance of momentum strategies in these markets this paper introduces a behavioral proxy of the 52 week high and low momentum that explains a significant proportion of the variation of conventional momentum returns after controlling for commodity specific risk factors our findings show that the 52 week high strategy generates significant profits after accounting for transaction costs we report that the 52 week high strategy is a better predictor of returns than conventional momentum our findings suggest that term structure and hedging pressure risk factors provide only a partial explanation of the results

retrieving unobserved consideration sets from household panel data the authors propose a new model to capture unobserved consideration from discrete choice data this approach allows for unobserved dependence in consideration among brands easily copes with many brands and accommodates different effects of the marketing mix on consideration and choice as well as unobserved consumer heterogeneity in both processes an important goal of this study is to establish the validity of the existing practice to infer consideration sets from observed choices in panel data the authors show with experimental data that underlying consideration sets can be reliably retrieved from choice data alone and that consideration is positively affected by display and shelf space next the model is applied to information resources inc panel data the findings suggest that promotion effects are larger when they are included in the consideration stage of the two stage model than in a single stage model the authors also find that consideration covaries across brands and that this covariation is mainly driven by unobserved consumer heterogeneity finally the authors show the implications of the model for promotion planning relative to a more standard model of choice

consumer information search revisited theory and empirical analysis a comprehensive theoretical framework for understanding consumers information search behavior is presented unlike previous research our model identifies not only what factors affect consumers search behavior but also how these factors interact with each other in particular the model emphasizes the effect of prior brand perceptions on the search process we argue that when consumers have brand specific prior distributions of utility the existence of relative uncertainty among brands is necessary for search to be useful thus we explain why product class involvement or low search costs may not be sufficient to induce large amounts of search activity and why there may be an inverted u shaped relationship between search activity and experience we test our theory on consumers search behavior for new automobiles using data collected contemporaneously with consumers actual decision process our data support our theory

oil and stock market momentum abstract this study provides a novel perspective to the oil stock market nexus by examining the predictive ability of oil return and volatility on stock market momentum in china we find that oil return volatility serves as a strong predictor of industry momentum even after controlling for stock market state volatility and key macroeconomic variables we argue that the predictive ability of oil over momentum payoffs is driven by time varying investor sentiment that relates to excess buying pressure on winner stocks during uncertain times captured by oil return volatility our tests also show that an oil based momentum strategy wherein the investor conditions the trade on the state of oil return volatility yields significant abnormal returns more than double that could be obtained from the conventional momentum strategy in short the findings suggest that oil market dynamics can contribute to stock market inefficiencies in such a way that these inefficiencies create significant abnormal profits for active managers

a two stage disaggregate attribute choice model a two stage disaggregate attribute choice model is proposed and empirically implemented the first stage of the model is attribute processing to screen the number of alternatives down to a lesser number the second stage is brand alternative processing which considers the attributes simultaneously while allowing for tradeoffs among the attributes this two stage approach is then applied to the same real world data set as two single stage disaggregate models logit and maximum likelihood hierarchical mlh which are state of the art models representing the alternative and attribute processing approaches respectively the predictive accuracy of the two stage approach compares favorably to the single stage models in addition it seems to offer diagnostic information that can provide managerial insights not found in the output of the single stage model

on the links between stock and commodity markets volatility this paper investigates the links between price returns for 25 commodities and stocks over the period from january 2001 to november 2011 by paying a particular attention to energy raw materials relying on the dynamic conditional correlation dcc garch methodology we show that the correlations between commodity and stock markets evolve through time and are highly volatile particularly since the 2007 2008 financial crisis the latter has played a key role emphasizing the links between commodity and stock markets and underlining the financialization of commodity markets at the idiosyncratic level a speculation phenomenon is highlighted for oil coffee and cocoa while the safe haven role of gold is evidenced

impact of the financial crisis on indian commodity markets structural breaks and volatility dynamics the shocks transmitted across the financial markets during the financial crisis resulted in structural changes in commodity volatility hence understanding volatility dynamics in changing scenario is vital for derivative pricing risk management and monetary policy stabilization this paper studies the impact of the financial crisis by analyzing the following aspects 1 presence of structural break regime shift in volatility by deploying markov and wavelet model during financial crisis and 2 crisis impact on volatility dynamic behavior such as persistence leverage and long memory by deploying hybrid wavelet egarch and fractional integration spot prices of 18 commodities were examined including all sub sectors of energy metals and agriculture indian commodity indices sub indices global benchmark indices and also stock indices such as sp agricultural commodities showed faster convergence to long run equilibrium while metal and energy experienced higher persistence and attracted more financial speculation the impact of the crisis on agricultural commodities was limited to internationally traded commodities such as sugar and rubber the common breaks and different volatility dynamics have been attributed to systematic risk and to idiosyncratic components respectively it was also found that during and after the crisis more than idiosyncratic risk it was systematic risk that contributed significantly to the volatility patterns of indian commodity markets

equity market implied volatility and energy prices a double threshold garch approach abstract this study investigates the role of vix in determining the returns and return volatilities of oil heating oil gasoline and natural gas a double threshold garch 1 1 methodology is utilized where the vix index is used as the threshold regime change indicator daily data from january 4 1999 to december 31 2013 are used a sub period analysis covering only the financial crisis period of january 2 2007 to december 31 2009 is also performed this study provides evidence that the level of equity market volatility i e vix that triggers a regime shift is commodity specific the results also indicate that the threshold vix values are time varying furthermore natural gas prices appear to withstand considerably more volatility in the equity market than do the prices of other energy commodities this relationship is even more pronounced during the financial crisis period approximately 70 and 50 of the estimated coefficients display asymmetric sensitivities due to regime changes during the entire period and the crisis period respectively the findings have practical implications as the underlying volatility of an asset plays a significant role in determining its associated activity in the futures markets

on the recoverability of choice behaviors with random coefficients choice models in the context of limited data and unobserved effects random coefficients choice models are seeing widespread adoption in marketing research partly because of their ability to generate household level parameter estimates with limited data however the power of such models may tempt researchers to trust that they continue to produce reasonable estimates when in fact either model misspecification or insufficient data limits the models ability to recover household level parameters successfully if household level choice behaviors are not recovered successfully managerial decisions such as marketing mix planning and targeting direct marketing segmentation and forecasting may not produce the desired results this study addresses the following questions first can random coefficients choice models correctly identify markets characterized by preference and response heterogeneity state dependence the use of alternative decision heuristics that result in reduced choice sets and combinations of these effects if so how much data is required and is this realistic given the size of data sets typically used in marketing analyses which model selection criteria should be used to identify these markets when there is spurious market identification which parameters contribute to the spurious result an extensive simulation experiment is conducted wherein random coefficients logit models with varying specifications of parameter heterogeneity state dependence effects and choice set heterogeneity are applied to 128 experimental conditions the results show which types of markets can be identified reliably and which cannot based on the results of the simulation the authors develop a model selection heuristic that identifies the correct market in 81 of the experimental conditions in contrast strict application of the best model selection criterion alone results in correct market identification in at most 34 of experimental conditions interestingly we find that the amount of data number of households or number of purchases per household does not affect our ability to identify the correct market type with this heuristic so there is a good chance of identifying the correct market type even when little data is available

estimating the correlation structure of international share prices recently the case for international portfolio diversification has been convincingly argued in the framework of mean variance portfolio analysis by a number of researchers however virtually no empirical documentation exists concerning the best method for estimating the correlation structure of international share prices in this paper 12 models for estimating the international correlation matrix are presented and empirically tested relative to full historical extrapolation the major evaluation criteria are the mean squared error and stochastic dominance based on the frequency distribution of the squared forecast errors the results indicate that the national mean model strictly dominates all the others in terms of forecasting accuracy in the last fifteen years or so a number of researchers have convincingly argued the case for international portfolio diversification as opposed to purely domestic diversification in the framework of mean variance portfolio analysis see e g grubel 4 levy and sarnat 8 solnik 12 mcdonald 10 lessard 6 and subrahmanyam 15 1 in spite of the emerging consensus in the academic and investment communities that investors can benefit from international diversification in terms of a more efficient risk return tradeoff virtually no empirical documentation exists concerning the best method for estimating the correlation structure of international share prices since estimating this correlation structure is a necessary precondition for being able to apply modern portfolio theory to international investments empirical examination is of major importance moreover only through empirical examination of the correlation structure will the effort to devise a simple algorithm that can be used to solve for the optimal international portfolio be facilitated in order to trace out the set of ex ante efficient international porffolios using the tenets of modern portfolio theory the investor must obtain accurate estimates of the expected return and the variance of return for each domestic and foreign security and he must also obtain accurate estimates of the correlation coefficients of the returns between each pair of securities stated in terms of his numeraire

metal volatility in presence of oil and interest rate shocks abstract this study uses three two factor volatility models of the garch family to examine the volatility behavior of three strategic commodities gold silver and copper in the presence of crude oil and interest rate shocks the results of the standard garch models suggest that gold and silver have almost the same volatility persistence which is greater than that of copper the cgarch estimates indicate that the short run transitory component of volatility converges to zero much faster for copper than for gold and silver in this sequence however the permanent volatility component demonstrates equally strong persistence in the long run for all three metals the egarch results suggest that the leverage effect is present and significant for copper only implying that gold and silver can be good investment in anticipation of bad times past oil shock does not impact all three metals similarly monetary policy and to leaser extent the oil shocks have calming effects on precious metals but not on copper if the t bill rate is used crises such as the 2003 iraq war heighten metal volatility these results have implications for derivatives valuations using gold as a reserve asset risk analysis and for the commodity exporting countries and commodity producing firms

investment stability and taxation in a long run macroeconomic model abstract this paper investigates for a one sector model in which the consumer investor s preferences are randomly changing the relationship between an economy s size and variability it is observed that means and variances of the stationary probability distributions on capital stock and output move together for given parameter changes unless some specific form of government intervention is introduced

conditional heteroscedasticity in time series of stock returns evidence and forecasts this article presents new evidence about the time series behavior of stock prices daily return series exhibit significant levels of second order dependence and they cannot be modeled as linear white noise processes a reasonable return generating process is empirically shown to be a first order autoregressive process with conditionally heteroskedastic innovations in particular generalized autoregressive conditional heteroskedastic garch 1 1 processes fit to data very satisfactorily various out of sample forecasts of monthly return variances are generated and compared statistically forecasts based on the garch model are found to be superior copyright 1989 by the university of chicago

a new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the business cycle abstract this paper introduces a general procedure for decomposition of non stationary time series into a permanent and transitory component allowing both components to be stochastic the permanent component is shown to be a random walk with drift and the transitory or cyclical component is a stationary process with mean zero the decomposition methodology which depends only on past data and therefore is computable in real time is applied to the problem of measuring and dating business cycles in the portwar u s economy we find that measured expansions and contractions are of roughly equivalent duration and that our dating of cyclical episodes tends to lead the traditional nber dating and to a lesser extent the growth cycle chronology of zarnowitz and boschan 1977

toward a reconciliation of market power and information theories of advertising effects on price elasticity prior work on the economic effects of advertising has presented conflicting views some authors have suggested that advertising creates market power by artificially differentiating brands and thereby lowering price elasticity others have viewed advertising as an efficient source of information about the existence of substitutes arguing that advertising increases price elasticity the present research proposes a unifying theoretical model in which advertising affects price elasticity through its influence on two mediating constructs the size of the consideration set and the relative strength of preference pretests 1 and 2 examine the effects of advertising on these two constructs results from the main experiment show that in accordance with the theoretical framework the same advertisements that increased price elasticity in some decision environments decreased it in others

the relationship between energy and equity markets evidence from volatility impulse response functions this paper examines the relationship between the energy and equity markets by estimating volatility impulse response functions from a multivariate bekk model of the goldman sach s energy index and the sp in addition we also calculate the time varying conditional correlations and time varying dynamic hedge ratios from volatility impulse response functions we find that low sp however we find only a weak response from s p 500 volatility to energy price shocks moreover our dynamic hedge ratio analysis suggests that the energy index is generally a poor hedging instrument

modeling and forecasting extreme commodity prices a markov switching based extreme value model abstract we propose a markov switching multifractal peaks over threshold msm pot model to capture the dynamic behavior of the random occurrences of extreme events exceeding a high threshold in time series of returns this approach allows introducing changes of regimes in the conditional mean function of the inter exceedance times i e the time between two consecutive extreme events in order to admit the presence of short and long term memory patterns further through its multifractal structure the msm pot approach is able to capture the typical stylized facts of extreme events observed in financial time series such as temporal clustering of the size of exceedances and temporal behavior of tail thickness we compare the performance of the msm pot model with competing self exciting models and a garch evt approach in an in and out of sample var forecasting exercise based on the extreme returns of six daily commodity futures prices i e brent and wti crude oil cocoa cotton copper and gold empirical results suggest that the var estimates generated by the msm pot model for the returns analyzed produce the most accurate forecasts

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

volatility behavior of oil industrial commodity and stock markets in a regime switching environment abstract this study supplements previous regime switching studies on wti crude oil and finds two possible volatility regimes for the strategic commodity prices of brent oil wti oil copper gold and silver and the s p 500 index but with varying high to low volatility ratios the dynamic conditional correlations dccs indicate increasing correlations among all the commodities since the 2003 iraq war but decreasing correlations with the s p 500 index the commodities also show different volatility persistence responses to financial and geopolitical crises while the s p 500 index responds to both financial and geopolitical crises implications are discussed

oil price and financial markets multivariate dynamic frequency analysis the aim of this paper is to study the degree of interdependence between oil price and stock market index into two groups of countries oil importers and oil exporters to this end we propose a new empirical methodology allowing a time varying dynamic correlation measure between the stock market index and the oil price series we use the frequency approach proposed by priestley and tong 1973 that is the evolutionary co spectral analysis this method allows us to distinguish between short run and medium run dependence in order to complete our study by analysing long run dependence we use the cointegration procedure developed by engle and granger 1987 we find that interdependence between the oil price and the stock market is stronger in exporters markets than in the importers ones

systemic risk spillovers between crude oil and stock index returns of g7 economies conditional value at risk and marginal expected shortfall approaches abstract in this study we examine systemic risk and dependence between oil and stock market indices of g7 economies between january 2003 and november 2017 coincidentally this timeframe covers different distress periods in financial and energy markets we use several time constant time varying and time varying markov copula models to examine the dependence further we use the delta conditional value at risk covar of adrian and brunnermeier 2016 and marginal expected shortfall mes of acharya et al 2012 to captures the risk spillover effects and give evidence of systemic risk from the copula analysis we find dissimilar dependence structure between returns series of oil and the g7 stock markets for france germany and japan the dependence is markov switching time varying while it is time varying for the united states and canada constant for the united kingdom and around zero for italy our empirical evidence on systemic risk indicates that oil price dynamics contributes significantly more to the g7 stock market returns during volatile times than during tranquil times in particular the canada stock market appears more sensitive and vulnerable to negative external shocks emerging from the crude oil market than the other markets further the country risk rankings identified using mes and covar may not be identical in addition the analysis results suggest that the crude oil market can be a good diversifier for investors in japan and france and that the investors in the rest of g7 countries must act more carefully

all things considered the role of choice set formation in diversification abstract the diversification effect a tendency toward greater variety as multiple choices are made simultaneously in advance of consumption is a robust and important phenomenon researchers have typically explained the diversification effect in terms of differences in the process by which people select items from among those available this precludes the possibility that the locus of the effect lies in people s choice sets themselves that is how people decide which options to consider when making choices the authors examine the effects of set formation using an experimental choice sequence task and conjoined stochastic model of set formation and conditional choice the findings demonstrate that set formation plays a critical role in diversification previously chosen options are indeed discounted but only for simultaneous choices and only in the set formation portion of the model furthermore the expected number of choice set items is substantially greater in multiple versus single item choice s

the transmission from equity markets to commodity markets in crises periods abstractthis article investigates the transmission from equity markets to commodity markets during two major financial crises namely the subprime mortgage and the sovereign debt crises we perform an analysis on sub stages from 3 january 2003 to 31 october 2013 to capture the price behaviour of both equity and commodity markets two financial crises indicators vix and cds are used to represent fear of a crisis we find that correlations between commodity and equity markets are time varying and highly volatile during a financial crisis while sharing some common features commodities cannot be considered a homogeneous asset class segmentation characteristics of commodity markets disappear in times of financial crises reducing their substitutability as an investment portfolio for asset diversification purposes through our test for granger causality we find the existence of transmission during a financial crisis volatility spillover effect also plays a major role as transmission mechanisms after the

buyer uncertainty and information search preliminary measures of pre purchase uncertainty were developed through focus group interviews and were administered to a nationwide sample of recent appliance purchasers responses indicated the presence of two general types of uncertainty knowledge uncertainty uncertainty regarding information about alternatives and choice uncertainty uncertainty about which alternative to choose in exploring how each of these uncertainty dimensions was related to search behavior we found that choice uncertainty appeared to increase search but knowledge uncertainty had a weaker negative effect on search implications of the findings for previous research on the relationship between uncertainty and search are discussed along with research directions

modelling oil price volatility in this paper we examine the volatility of crude oil price using daily data for the period 1991 2006 our main innovation is that we examine volatility in various sub samples in order to judge the robustness of our results our main findings can be summarised as follows 1 across the various sub samples there is inconsistent evidence of asymmetry and persistence of shocks and 2 over the full sample period evidence suggests that shocks have permanent effects and asymmetric effects on volatility these findings imply that the behaviour of oil prices tends to change over short periods of time

modeling multiple sources of state dependence in random utility models a distributed lag approach we propose a utility theoretic brand choice model that accounts for four different sources of state dependence 1 effects of lagged choices structural state dependence 2 effects of serially correlated error terms in the random utility function habit persistence type 1 3 effects of serial correlations between utility maximizing alternatives on successive purchase occasions of a household habit persistence type 2 and 4 effects of lagged marketing variables carryover effects our proposed model also allows habit persistence to be a function of lagged marketing variables while accommodating the effects of unobserved heterogeneity in household choice parameters this model is more flexible than existing state dependence models in marketing and labor econometrics using scanner panel data we find structural state dependence to be the most important source of state dependence marketing mix elasticities are systematically understated if state dependence effects are incompletely accounted for the seetharaman and chintagunta 1998 model is shown to recover spurious variety seeking effects while overstating habit persistence effects ignoring habit persistence type 1 leads to an underestimation while ignoring habit persistence type 2 leads to an overestimation of structural state dependence effects we find lagged promotions to have carryover effects on habit persistence ignoring one or more sources of state dependence underestimates the total incremental impact of a sales promotion we draw implications for manufacturer pricing

on the short and long run efficiency of energy and precious metal markets this article contributes to the related literature by empirically investigating the efficiency of nine energy and precious metal markets over the last decades employing several pronounced models we test for both short and the long run efficiency using in addition to linear cointegration models nonlinear cointegration and error correction models ecms which allow the efficiency intensity to change per regime our findings can be summarized as follows i futures prices are found to be cointegrated with spot prices but they do not constitute unbiased predictors of future spot prices ii the hypothesis of risk neutrality is rejected iii the short run efficiency hypothesis is rejected suggesting that using past futures price returns improves the modeling and forecasting of future spot prices and iv the nonlinear modeling suggests the presence of two distinct regimes wherein the first regime the efficiency hypothesis is supported whereas in the second it is rejected the empirical findings have important implications for producers hedgers speculators and policymakers

modeling volatility and correlations between emerging market stock prices and the prices of copper oil and wheat abstract increased financial integration between countries and the financialization of commodity markets are providing investors with new ways to diversify their investment portfolios this paper uses varma agarch and dcc agarch models to model volatilities and conditional correlations between emerging market stock prices copper prices oil prices and wheat prices the dynamic conditional correlation model is found to fit the data the best and used to generate dynamic conditional correlations hedge ratios and optimal portfolio weights emerging market stock prices and oil prices display leverage effects where negative residuals tend to increase the variance conditional volatility more than positive ones correlations between these assets increased considerably after 2008 and have yet to return to their pre 2008 values on average oil provides the cheapest hedge for emerging market stock prices while copper is the most expensive but given the variability in the hedge ratios one should probably not put too much emphasis on average hedge ratios

oil shocks and their impact on energy related stocks in china abstract this paper contributes to the current literature by adopting time varying conditional correlation and asset pricing models to discover how the dynamics of international oil prices affect energy related stock returns in china after conditioning for structural instability the results show a much stronger relation following the 2008 financial crisis we argue that this reflects the fact that investors in the chinese stock market especially for energy related stocks are more sensitive to the shocks in international crude oil market

brand effects on choice and choice set formation under uncertainty this paper examines the effects of brand credibility a central concept in information economics based approaches to brand effects and brand equity on consumer choice and choice set formation we investigate the mechanisms through which credibility effects materialize namely through perceived quality perceived risk and information costs saved the credibility of a brand as a signal is defined as the believability of the product position information contained in a brand which depends on consumer perceptions of the willingness and ability of firms to deliver what they have promised the choice set is defined as the collection of brands that have a nonzero probability of being chosen among those actually available for choice in a given context furthermore we study the impact of brand credibility on the variance of the stochastic component of utility not only do choice model parameters capture the impact of systematic utility differences on choice probabilities but also the magnitude of this systematic impact is moderated by the relative importance of the stochastic utility component in preference we term this moderation phenomenon preference discrimination which we conceptualize as the decision makers capacity to effectively discriminate between products utilities in choice situations we estimate a discrete choice model of brand choice set formation and preference discrimination on experimental data in two categories juice and personal computers and find strong evidence for brand credibility effects and differential mechanisms through which brand credibility s impact materializes on brand choice conditional on choice set choice set formation and preference discrimination

efficiency with costly information a study of mutual fund performance 1965 1984 if information is costly to collect and implement then it is efficient for trades by informed investors to occur at prices sufficiently different from full information prices to compensate them for the cost of becoming informed this notion is tested by evaluating investment performance in the mutual fund industry over a 20 year period the study finds evidence that is consistent with optimal trading in efficient markets risk adjusted returns in the mutual fund industry net of fees and expenses are comparable to returns available in index funds and portfolio turnover and management fees are unrelated to fund performance

comparative forecasting performance of symmetric and asymmetric conditional volatility models of an exchange rate abstract the relative out of sample forecasting quality of symmetric and asymmetric conditional volatility models of an exchange rate differs according to the symmetric and asymmetric evaluation criteria both symmetric and asymmetric forecast competitors of currency volatility are biased and systematically over predict volatility

empirical characteristics of the permanent and transitory components of stock return analysis in a markov switching heteroscedasticity framework abstract this paper adopts the markov switching heteroscedasticity framework to decompose stock return into permanent and transitory components the analysis is carried out for four major economies to detect differences in the behaviour of different markets the findings show that there is substantial variation in the duration of the volatility states of the transitory component in these markets it is also found that the us market has a positive correlation with the other markets for the permanent component whereas it has a negative correlation for the temporal component

are output fluctuations transitory according to the conventional view of the business cycle fluctuations in output represent temporary deviations from trend the purpose of this paper is to question this conventional view if fluctuations in output are dominated by temporary deviations from the natural rate of output then an unexpected change in output today should not substantially change one s forecast of output in say five or ten years our examination of quarterly postwar united states data leads us to be skeptical about this implication the data suggest that an unexpected change in real gnp of 1 percent should change one s forecast by over 1 percent over a long horizon

realized volatility transmission between crude oil and equity futures markets a multivariate har approach this paper differs from extant literature because it studies volatility co movements with a multivariate orthogonalized har model a flexible specification for the time series of realized volatility which is able to identify short mid and long term spillover effects we examine volatility transmission mechanisms using high frequency data of the stock index futures on s p 500 nikkei 225 ftse 100 and the futures on the west texas intermediate crude oil during the period from september 2002 to september 2012 considering the full sample the short term volatility of the equity futures contains information about future oil volatility incremental to the information inherent in the time series of oil volatility on the other hand weekly and monthly volatilities do not exhibit a significant spillover effect breaking the whole sample into three subsamples no significant granger causalities are observed in the pre crisis period while in the crisis time and its aftermath we document that the us and uk equity market volatilities to granger cause the oil futures volatility which itself leads the japanese market in terms of magnitude we observe an increase in the short term volatility spillover over time studying the residuals of the har transmission models within a ccc dcc garch framework reveals increasing instantaneous correlation between the energy and equity volatilities in the course of time

alleviating the constant stochastic variance assumption in decision research theory measurement and experimental test analysts often rely on methods that presume constant stochastic variance even though its degree can differ markedly across experimental and field settings this reliance can lead to misestimation of effect sizes or unjustified theoretical or behavioral inferences classic utility based discrete choice theory makes sharp testable predictions about how observed choice patterns should change when stochastic variance differs across items brands or conditions we derive and examine the implications of assuming constant stochastic variance for choices made under different conditions or at different times in particular whether substantive effects can arise purely as artifacts these implications are tested via an experiment designed to isolate the effects of stochastic variation in choice behavior results strongly suggest that the stochastic component should be carefully modeled to differ across both available brands and temporal conditions and that its variance may be relatively greater for choices made for the future the experimental design controls for several alternative mechanisms e g flexibility seeking and a series of related models suggest that several econometrically detectable explanations like correlated error state dependence and variety seeking add no explanatory power a series of simulations argues for appropriate flexibility in discrete choice specification when attempting to detect temporal stochastic inflation effects

how is volatility in commodity markets linked to oil price shocks abstract this study investigates the effects of oil price shocks on volatility of agricultural and metal commodities we decompose an oil price shock to its underlying components including macroeconomics and oil specific shocks the applied method is the structural vector autoregressive svar model and the time span is from april 1983 to may 2014 the investigation is divided into two subsamples before and after may 2006 for agriculture taking into account the 2006 2008 food crisis and change in u s ethanol production policy and before and after january 2008 for metals considering the recent global financial crisis we find that based on impulse response functions the response of volatility of each commodity to an oil price shock differs significantly depending on the underlying cause of the shock for the both periods moreover according to variance decomposition the explanatory power of oil shocks becomes stronger after the crisis the different responses of commodities are described in detail by investigating market characteristics in each period

a utility based comparison of some models of exchange rate volatility abstract when estimates of variances are used to make asset allocation decisions underestimates of population variances lead to lower expected utility than equivalent overestimates a utility based criterion is asymmetric unlike standard criteria such as mean squared error to illustrate how to estimate a utility based criterion we use five bilateral weekly dollar exchange rates 1973 1989 and the corresponding pair of eurodeposit rates of homoskedastic garch autoregressive and non parametric models for the conditional variance of each exchange rate garch models tend to produce the highest utility on average a mean squared error criterion also favors garch but not as sharply

a markov model of heteroskedasticity risk and learning in the stock market abstract we examine a variety of models in which the variance of a portfolio s excess return depends on a state variable generated by a first order markov process a model in which the state is known to economic agents is estimated it suggests that the mean excess return moves inversely with the level of risk we then estimate a model in which agents are uncertain of the state the estimates indicate that agents are consistently surprised by high variance periods so there is a negative correlation between movements in volatility and in excess returns

on the dynamic links between commodities and islamic equity abstract this paper investigates whether commodities offer potential diversification benefits for islamic equity index investors in light of possible financialization of commodity markets using mgarch dcc and wavelet coherence analyses our findings reveal that correlations between commodity markets and the dow jones islamic market world index are time varying and highly volatile throughout the january 1999 april 2015 period a substantial and persistent increase was observed in the return correlations between commodities and islamic equity at the onset of the 2008 financial crisis however trends in the recent two years suggest that this association is heading towards its pre crisis levels offering again diversification benefits for islamic equity holders these benefits vary across different commodities in various time scales overall gold natural gas soft commodities grains and livestock are better portfolio diversifiers than oil and other metals relative to medium to long term investors short term investors less than 32 days horizon gained better diversification benefits in most commodities during bullish bearish and market recovery periods these findings have implications for investors who are heterogeneous in risk tolerance and time preference as well as for policymakers who are concerned with market stability

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

posterior predictive and utility based approaches to testing the arbitrage pricing theory abstract to provide a framework for judging the economic significance of departures from the arbitrage pricing theory we adopt a utility based metric based on optimal portfolio choices this measure is examined using both predictive and posterior analysis our predictive analysis shows very large and economically significant departures from the model restrictions however the high level of parameter uncertainty suggests that we cannot conclusively either affirm or reject the apt our conclusions differ markedly from other studies which employ traditional significance testing procedures and in many instances fail to reject the apt restrictions

the effects of recent terrorist attacks on risk and return in commodity markets abstract the event study methodology of brown and warner 1985 is adopted and augmented to evaluate the effect of the recent terrorist attacks on risk and returns in commodity markets the methodology is supplemented with various techniques such as the non parametric ranking test and kernel regression to find out if 20 terrorist attacks including in paris nice brussels stockholm manchester jakarta london and melbourne generated abnormal returns asset pricing models are fitted with interaction variables while garch tarch egarch and parch models are used to determine changes in systematic risk our results show abnormal returns and delayed reactions of up to 120 days in the commodity markets evidence which defies the efficient market hypothesis in addition we identify sector and commodity effects in risk analysis

the effect of economic policy uncertainty on stock commodity correlations and its implications on optimal hedging abstract motivated by previous studies documenting significant return and volatility effects of economic policy uncertainty epu on the stock market this study examines whether epu has an effect on the dynamic conditional correlations between stock and commodity returns our findings point to a positive and significant effect of epu on stock commodity correlations with particularly stronger effects in the case of energy and industrial metals the epu effect is stronger during weak economic conditions while vix as a proxy of market uncertainty is generally found to be insignificant finally we show that the epu effect on correlations has investment implications as well implied by a significant effect on optimal hedge ratios in commodities in order to mitigate stock market risks our results underscore the importance of selective hedging strategies in which risk managers base the timing and size of their hedging programs on future price expectations conditional on the level of policy uncertainty state and prevalent economic conditions

oil volatility oil and gas firms and portfolio diversification abstract this paper investigates the volatility spillovers and co movements among oil prices and stock prices of major oil and gas corporations over the period between 18th june 2001 and 1st february 2016 to do so we use the spillover index approach by diebold and yilmaz 2009 2012 2014 2015 and the dynamic correlation coefficient model of engle 2002 so as to identify the transmission mechanisms of volatility shocks and the contagion of volatility among oil prices and stock prices of oil and gas companies respectively given that volatility transmission across oil and major oil and gas corporations is important for portfolio diversification and risk management we also examine optimal weights and hedge ratios among the aforementioned series our results point to the existence of significant volatility spillover effects among oil and oil and gas companies stock volatility however the spillover is usually unidirectional from oil and gas companies stock volatility to oil volatility with bp chevron exxon shell and total being the major net transmitters of volatility to oil markets conditional correlations are positive and time varying with those between each of the aforementioned companies and oil being the highest finally the diversification benefits and hedging effectiveness based on our results are discussed

crude oil equity and gold futures open interest co movements abstract the study is unique in its investigation of the co movements between trading activity on the equity crude oil and gold futures market proxied by open interest it provides empirical evidence that stock and crude oil futures demand for hedging is positively related but reacts negatively to sudden shocks in open interest on the other market furthermore gold futures open interest reacts positively to shocks in the crude oil futures trading activity the level of instantaneous linkage is related to external market conditions during periods of unstable financial markets the correlation between equity and energy futures open interest decreases and the correlation of the open interest on the equity and gold futures market turns weak negative this indicates hedging funds allocation toward gold market in periods of stock market uncertainty

flexibility in consumer purchasing for uncertain future tastes consumers often simultaneously purchase multiple units in the same product category whether they are best off purchasing an assortment of alternatives or an equal number of one alternative is addressed in this paper models of an expected utility maximizing consumer are developed and it is shown that an assortment may have greater expected utility than an equal number of any one alternative the rationale is that the assortment allows the consumer to choose from inventory the alternative most appropriate for a consumption occasion using preference information not available at the purchase occasion it is also shown that when consuming alternatives from inventory the consumer may forego the alternative offering the most utility in the expectation that it will yield even more utility in the future

volatility spillovers and cross hedging between gold oil and equities evidence from the gulf cooperation council countries the paper examines the return and volatility spillovers between crude oil gold and equities and investigates the usefulness of the two commodities in hedging equity portfolios using daily data from january 20043 to may 2016 for the gulf cooperation council countries a dcc garch model is used to estimate dynamic correlations and hedge ratios we find significant spillovers from oil to equities highlighting the heavy dependence of the local economies on oil moreover the spillovers of gold on the stock markets are insignificant suggesting that gold price fluctuations do not necessarily influence equity investment decisions in the opposite direction we find that equities do not exert significant influence on the two commodities which we attribute to the relatively small capitalisation of the exchanges our results reveal low dynamic correlations and hedge ratios with a few spikes during crises indicating that oil and gold are cheap hedges for stocks albeit not good ones while they could be considered as weak safe havens but at a considerable cost

oil price shocks and emu sovereign yield spreads abstract this study examines for the first time the relationship among the oil price shocks and the sovereign yield spreads in the emu which is collectively the largest oil importer of the world in a time varying environment in particular we examine the time varying correlation between oil price shocks and the 10 year sovereign yield spread of core and periphery countries in the emu by employing a scalar bekk framework the main findings reveal that the correlations between sovereign yield spreads and oil price shocks are indeed time varying and are influenced by specific economic and geopolitical events that took place during the study period furthermore even though the correlation patterns are constantly low or zero prior to the great recession a change is revealed in the post 2008 period when correlations become moderate and more volatile finally we do not observe noteworthy differences in the correlation behaviour between core and periphery countries to different oil price shocks the findings of this study are particularly useful and provide valuable information to marketplace participants

the cyclical component of u s economic activity quarterly data on industrial production and deflated gross national product in the united states from 1947 through 1985 are decomposed into independent nonstationary trend and stationary cycle components using kalman filtering and smoothing techniques estimates of the model parameters imply that at least half of the quarterly innovation in u s economic activity can be attributed to a stationary cyclical component that persists over periods of time as long as five years this finding is inconsistent with the hypothesis that most of the apparent variation in u s economic activity can be attributed to a nonstationary trend component

commodity returns co movements fundamentals or style effect this paper investigates dynamic correlations both across commodities and between commodities and traditional assets such as equities and government bonds using the regime switching dynamic correlation rsdc model in particular this paper assesses the dynamics of 32 daily commodity futures returns spanning a period from may 28 2003 to june 04 2014 in the light of economic and financial events before and after the mid 2007 financial crisis there are three major findings first prior to the financial crisis we detect stronger correlation among the wide range of commodities used in the analysis indicating that the financialization process started impacting commodity price movements from mid 2005 between commodities taken as an asset class and traditional asset classes our results generally show very weak commodity equity and commodity bond correlations prior to the lehman brother collapse this can be explained by the style effect theory that correlations between different asset classes in a portfolio weaken second during the financial crisis correlations both across commodities and between commodities and equities increase dramatically with a regime change which coincides exactly with the demise of lehman brothers on september 15 2008 this suggests that a strong commodity equity integration was temporarily masked by the style effect however commodity bond correlations switch to a strongly negative regime showing that government bonds were considered as refuge securities third and most importantly the new and original finding here is the temporary nature of the financial crisis effect identified as correlations both across commodities and between commodities and traditional assets revert to pre crisis level from april 2013 this highlights the impact of the financial based factors on commodity price movements

what can we learn about commodity and credit cycles evidence from african commodity exporting countries abstract this study analyzes the relationship between commodity prices and credit to the private sector in commodity exporting developing countries particularly three nations in sub saharan africa in this regard we extend the findings of non empirical studies dealing with this issue for the case of african countries and complement the literature on the methodological side by investigating this relationship using wavelet analysis this frequency approach is appropriate as it takes into account investor heterogeneity and the time variant characteristic of the studied relationship further it explains the lead lag relationship between the studied series first we observe that credit and commodities are strongly related over long timescales suggesting that the credit market reacts strongly to long term change in commodity markets and thus tends to be sensitive to persistent commodity shocks second for medium and short timescales the interaction is high and significant only during periods of turmoil in terms of the lead lag relationship our results also show that the commodity market causes fluctuations in the credit market

the heckman correction for sample selection and its critique this paper gives a short overview of monte carlo studies on the usefulness of heckman s 1976 1979 two step estimator for estimating selection models such models occur frequently in empirical work especially in microeconometrics when estimating wage equations or consumer expenditures it is shown that exploratory work to check for collinearity problems is strongly recommended before deciding on which estimator to apply in the absence of collinearity problems the full information maximum likelihood estimator is preferable to the limited information two step method of heckman although the latter also gives reasonable results if however collinearity problems prevail subsample ols or the two part model is the most robust amongst the simple to calculate estimators

persistence in variance structural change and the garch model this article examines the persistence of the variance as measured by the generalized autoregressive conditional heteroskedasticity garch model in stock return data in particular we investigate the extent to which persistence in variance may be overstated because of the existence of and failure to take account of deterministic structural shifts in the model both an analysis of daily stock return data and a monte carlo simulation experiment confirm the hypothesis that garch measures of persistence in variance are sensitive to this type of model misspecification

on the equivalence of private and public money abstract when does a swap between private and public money leave the equilibrium allocation and price system unchanged to answer this question the paper sets up a generic model of money and liquidity which identifies sources of seignorage rents and liquidity bubbles we derive sufficient conditions for equivalence and apply them in the context of the chicago plan cryptocurrencies the indian de monetization experiment and central bank digital currency cbdc our results imply that cbdc coupled with central bank pass through funding need not imply a credit crunch nor undermine financial stability

limited choice sets local price response and implied measures of price competition it is becoming increasingly evident that a consumer s brand choice decision in low involvement categories does not involve full search evaluation and comparison of price information of all brands available at point of purchase global price response the authors propose a two stage choice process in which the consumer first identifies a subset of brands within the universal set of brands called the choice set and then evaluates only those brands that are in the choice set relative to one another to select a single brand the authors find that consistent with reports of the extent of external price search of consumers response to shelf price variations is limited to the brands in the choice set local price response their results indicate that employing the assumption of global price response may lead to biased estimates of price elasticity and derived measures of clout and vulnerability to enable a managerially meaningful and useful assessment of a brand s competitive clout and vulnerability the