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

coal overcapacity in china multiscale analysis and prediction gaining a quantitative understanding of the causes of coal overcapacity and accurately predicting it are important for both government agencies and coal enterprises following the decomposition reconstruction prediction concept a combined ensemble empirical mode decomposition least square support vector machine autoregressive integrated moving average eemd lssvm arima model is proposed for quantitatively analyzing and forecasting coal overcapacity in china the results show that the main causes of coal overcapacity in china include insufficient demand market failure and institutional distortion institutional distortion with an influence degree of 73 75 is the most fundamental and influential factor from 2017 to 2019 the scale of coal overcapacity in china will reach between 1 721and 1 819 billion tons suggesting that coal overcapacity will remain a serious problem the rate of coal overcapacity caused by insufficient demand will fluctuate slightly while coal overcapacity caused by market failure will trend downward but the impact of institutional distortion on coal overcapacity will be exacerbated a statistical analysis demonstrates that the eemd lssvm arima model significantly outperformed other widely developed baselines e g arima lssvm eemd arima and eemd lssvm

forecasting the real price of oil time variation and forecast combination abstract this paper sheds light on the questions whether it is possible to generate an accurate forecast of the real price of oil and how it can be improved using forecast combinations for this reason the following paper will investigate the out of sample performance of seven individual forecasting models the results show that it is possible to construct better forecasts compared to a no change benchmark for horizons up to 24 months with gains in the mspe ratio as high as 25 in addition some of the existing models will be extended e g the u s inventories model by introducing more suitable real time measures for the brent crude oil price and the var model of the global oil market by using different measures for the economic activity furthermore the time performance investigated by constructing recursively estimated mspe ratios discovers potential weaknesses of the used models hence several different combination approaches are tested with the goal of demonstrating that a combination of individual models is beneficial for the forecasting performance thereby a combination consisting of four models has proven to have a lower mspe ratio than the best individual models over the medium run and in addition to be remarkably stable over time

how might nature value man abstract while much time and effort is spent attempting to quantify environmental services for inclusion in the economic system no one seems to ask how nature might value us an ecological accounting process is devised to accommodate ecosystem flows allowing for the computation of ecological prices and leading to the calculation of net ecosystem output and the efficiency of its production the process is somewhat similar to economic accounting but allows us to consider the ecosystem as open conforming to thermodynamic laws examples such as intervention to reduce soil erosion illustrate how humans might be appreciated by the ecosystem in some instances the net output might be higher with some human presence than with no human presence

towards a genuine exchange value of nature interactions between humans and nature in a principal agent framework abstract this paper discusses the potential for modeling nature and man in an exchange economy we will firstly be outlining the need for exchange values in addition to the usual human evaluation of nature secondly we will be reviewing some basic exchange economy ideas arguing that these ideas can be adopted to a mutually beneficial exchange between humans and nature thirdly in a formal model we will show how the assumption that a civic society can be adapted to a principal agent approach whereby humans are the principal and nature is the agent issues such as property rights an objective concerning nature and services to be exchanged will be introduced this will include the derivation of a behavioral equation for nature as anticipated by humans fourthly a principal agent framework delivers a mutually beneficial exchange such as land for labor and given property rights derived genuine exchange values are interpreted as relative prices reflecting human and natural objectives fifthly the aforementioned problem will be extended to a world with undefined property rights and hints will be given to how this world can be modeled potential applications conflicting questions such as human welfare versus fitness of nature and the distribution of rights will be discussed

long memory versus structural breaks in modeling and forecasting realized volatility we explore the possibility of structural breaks in the daily realized volatility of the deutschemark dollar yen dollar and yen deutschemark spot exchange rates with observed long memory behavior we find that structural breaks in the mean can partly explain the persistence of realized volatility we propose a var rv break model that provides superior predictive ability when the timing of future breaks is known with unknown break dates and sizes we find that a var rv i d long memory model provides a robust forecasting method even when the true financial volatility series are generated by structural breaks

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

the relationship between spot and futures oil prices do structural breaks matter abstract this paper examines the effect of structural breaks on the spot futures oil prices relationship we explore the impact of structural breaks on four critical issues including cointegrating relationships market efficiency under the expectation hypothesis and the no arbitrage rule causalities and forecasting performance of futures oil volatility as far as our empirical results exhibit the structural break we detect endogenously causes some influences on these issues which is in sharp contrast to the conclusions of existing studies our findings offer some implications and suggestions to researchers investors and policymakers

non stationarities in financial time series the long range dependence and the igarch effects we give the theoretical basis of a possible explanation for two stylized facts observed in long log return series the long range dependence lrd in volatility and the integrated garch igarch both these effects can be explained theoretically if one assumes that the data are nonstationary

structural breaks and garch models of exchange rate volatility we investigate the empirical relevance of structural breaks for garch models of exchange rate volatility using both in sample and out of sample tests we find significant evidence of structural breaks in the unconditional variance of seven of eight us dollar exchange rate return series over the 1980 2005 period implying unstable garch processes for these exchange rates and garch 1 1 parameter estimates often vary substantially across the subsamples defined by the structural breaks we also find that it almost always pays to allow for structural breaks when forecasting exchange rate return volatility in real time combining forecasts from different models that accommodate structural breaks in volatility in various ways appears to offer a reliable method for improving volatility forecast accuracy given the uncertainty surrounding the timing and size of the structural breaks copyright 2008 john wiley sons ltd

regime switching in the reactions of stock markets in saudi arabia to oil price variations the study revisits the stock oil nexus by examining the reactions of equity markets to oil price shocks at national and sectoral levels for saudi arabia in a time varying framework by employing the markov switching egarch model developed by henry 2009 journal of banking and finance 33 405 based on weekly data the findings reveal that the behaviour of all stock markets switches between an expansion regime and a recession regime with more persistence for the expansion state additionally influential international events associated with stock market drops are clearly identified in the recession regime furthermore there is evidence of asymmetric reactions of the equity index returns and the probabilities of transition from one state to another to oil price variations with heterogeneous impacts across sectors and regimes the stock markets are more sensitive to oil price decreases than to oil price increases although the evidence of relatively slight differences in some findings across weekdays the study allows investors and policymakers to understand well the interactions of stock sector markets vis a vis the world oil market in a regime switching framework in order to make the right decision as regards portfolio diversification and regulation of the stock markets

thermodynamic constraints on optimal depletion of copper and aluminum in the united states a dynamic model of substitution and technical change abstract the paper proposes a methodology to integrate concepts from thermodynamics into economic models of optimal natural resource use and to empirically determine relationships between changes in thermodynamic states of materials and the use of high quality energy sources the integration is aimed at an assessment of technologies substitution and technical change based on economic concepts that do justice to fundamental physical constraints a model of natural resource use and production has been developed that combines econometric time series analysis with dynamic modeling techniques the model explicitly includes thermodynamic constraints on i the process of separating minerals from crude ore ii smelting processes iii substitution among inputs and iv endogenous technical change in mining smelting and refining based on empirical information the model has been simulated to assess outer limits of feasible resource savings in copper and bauxite mining smelting and refining in the united states conclusions are drawn for the evaluation of products and effluents from mining smelting and refining operations with regard to changes in the physical resource base and environmental quality

estimating value at risk of crude oil price and its spillover effect using the ged garch approach estimation has been carried out using garch type models based on the generalized error distribution ged for both the extreme downside and upside value at risks var of returns in the wti and brent crude oil spot markets furthermore according to a new concept of granger causality in risk a kernel based test is proposed to detect extreme risk spillover effect between the two oil markets results of an empirical study indicate that the ged garch based var approach appears more effective than the well recognized hsaf i e historical simulation with arma forecasts moreover this approach is also more realistic and comprehensive than the standard normal distribution based var model that is commonly used results reveal that there is significant two way risk spillover effect between wti and brent markets supplementary study indicates that at the 99 confidence level when negative market news arises that brings about a slump in oil price return historical information on risk in the wti market helps to forecast the brent market conversely it is not the case when positive news occurs and returns rise historical information on risk in the two markets can facilitate forecasts of future extreme market risks for each other these results are valuable for anyone who needs evaluation and forecasts of the risk situation in international crude oil markets

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

information order and knowledge in economic and ecological systems implications for material and energy use abstract ecological and economic systems are open systems that require energy to change the thermodynamic states of materials from naturally occurring to more valued forms these changes are accompanied by information flows and changes in the order of systems and their surroundings in this paper thermodynamics is used to assess these system changes and relate them to the knowledge present in a system particular emphasis is given to 1 the fundamental relationships among material energy and information flows and changes in order and knowledge 2 the role of equilibrium and non equilibrium thermodynamics in assessing system change 3 the increasing role of material and energy flows through economic systems and 4 the necessity for improved societal valuation of these flows

a physical view of sustainability abstract we assume that natural ecological communities tend to maximize the amount of stored biomass on a given area thereby creating the highest sustainable rate of entropy formation possible from that area we take this climax condition to define sustainability human intervention through agriculture reduced the ecosystem in given areas to a juvenile state a state which seems to produce entropy at a lower rate than that of the natural climax condition the gap in entropy production rates between the natural and the agricultural system would eventually be overcome by the direct and indirect use of fossil fuels these fossil fuels are consumed much faster than they are being formed and therefore a social structure based on their extensive use cannot be sustainable what type of social structure does meet our definition of sustainability that is what style and size of social activity will generate entropy at a rate no greater than that of the climax ecosystem in a particular area during the last two decades studies of economic activities and their environmental repercussions were limited to the possible costs and benefits of pollution control and to the economically optimal extraction rates of mineral resources the intrusion of human activities into the environment became increasingly apparent through the depletion of natural resource stocks and decreasing environmental quality in the 1990s sustainability of the socio economic system within the global ecosystem has become the pressing issue although research is increasingly concerned with the question of sustainability a definition based on physically measurable evidence is missing such a definition is proposed in this paper and an example application is given for a particular area

monetary mystique secrecy and central banking abstract the paper contains a discussion of the role of secrecy in the implementation of monetary policy it documents the federal reserve s defense of secrecy as argued in a recent freedom of information act suit the federal reserve s arguments are evaluated on the basis of economic theory theoretical papers related to the secrecy issue are reviewed the discussion highlights a number of potential benefits and costs of central bank secrecy and identifies some conditions under which secrecy could be socially beneficial

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

shrouded attributes and information suppression evidence from the field we use eld and natural experiments in online auctions to study the revenue eect of varying the level and disclosure of shipping charges our main ndings are 1 disclosure aects revenues for low shipping charges a seller is better odisclosing 2 increasing shipping charges boosts revenues particularly when these charges are hidden and 3 the level and disclosure of the shipping charge have little eect on the number of bidders attracted to an auction

forecasting volatility in the petroleum futures markets a re examination and extension abstract this paper examines the volatility models and their forecasting abilities for four types of petroleum futures contracts traded on the new york mercantile exchange the aim of this paper is twofold firstly it replicates and carries out the robustness checks using the rigorous model confidence set test on the out of sample volatility forecast analysis undertaken by sadorsky energy economics 2006 28 467 488 through the same statistical models but with the extended data on daily prices of petroleum futures our test results largely confirm the findings obtained in the replicated paper secondly our paper also explores the relevance of some statistical complexities e g model optimality regime switches and alternative distribution functions in volatility forecasting through a large number of moving windows our results in general show that accounting for the model optimality structural breaks and using the asymmetric heavy tailed distribution functions in the estimations lead to significant forecasting accuracy gains

a novel hybrid method for crude oil price forecasting abstract forecasting crude oil price is a challenging task given the nonlinear and time varying characteristics of international crude oil prices we propose a novel hybrid method to forecast crude oil prices first we use the ensemble empirical mode decomposition eemd method to decompose international crude oil price into a series of independent intrinsic mode functions imfs and the residual term then the least square support vector machine together with the particle swarm optimization lssvm pso method and the generalized autoregressive conditional heteroskedasticity garch model are developed to forecast the nonlinear and time varying components of crude oil prices respectively next the forecasted crude oil prices of each component are summed as the final forecasted results of crude oil prices the results show that the newly proposed hybrid method has a strong forecasting capability for crude oil prices due to its excellent performance in adaptation to the random sample selection data frequency and structural breaks in samples furthermore the comparison results also indicate that the new method proves superior in forecasting accuracy to those well recognized methods for crude oil price forecasting

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

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

is the central bank s publication of economic forecasts influential abstract we examine how a central bank s economic forecasts affect forecasts by professional forecasters and vice versa results show that while central bank forecasts are not significantly influenced by those of professional forecasters the latter are however notably affected by the former

forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models this paper extends previous studies by investigating the relevance of structural breaks and long memory in modeling and forecasting the conditional volatility of oil spot and futures prices using a variety of garch type models our results can be summarized as follows first we provide evidence of parameter instability in five out of nine garch based conditional volatility processes for energy prices second long memory is effectively present in all the series considered and a figarch model seems to better fit the data but the degree of volatility persistence diminishes significantly after adjusting for structural breaks finally the out of sample analysis shows that volatility models accommodating instability and long memory characteristics of the data provide the best volatility forecasts for most cases

does china factor matter an econometric analysis of international crude oil prices abstract whether china s crude oil imports are the culprit of oil price volatility these years has not been quantitatively confirmed therefore this paper empirically investigates the role of china s crude oil net imports in brent price changes from october 2005 to november 2013 based on an econometric analysis the results indicate that during the sample period china s crude oil imports do not significantly affect brent price changes no matter in the long run or short run therefore the blame for china s crude oil imports to cause the dramatic fluctuations of international oil price has no solid evidence also there exists significant uni directional causality running from the brent price to china s crude oil imports at the 5 level besides the response of the brent price to china s crude oil imports is found positive but slight and the brent price responds more significantly to us dollar exchange rate and oecd commercial inventory than to china s crude oil imports in the short run finally the contribution of china s crude oil imports to brent price movement is about 10 which is less than that of us dollar exchange rate but larger than that of indian crude oil imports or oecd commercial inventory

dependence and extreme dependence of crude oil and natural gas prices with applications to risk management abstract in this article we show how the copula garch approach can be appropriately used to investigate the conditional dependence structure between the crude oil and natural gas markets as well as to derive implications for portfolio risk management in extreme economic conditions using daily price data from january 1997 to october 2011 our in sample results show evidence of asymmetric dependence between the two markets the crude oil and gas markets tend to comove closely together during bullish periods but not at all during bearish periods moreover taking the extreme comovement into account leads to an improvement in the accuracy of the out of sample value at risk forecasts

a nonparametric garch model of crude oil price return volatility the use of parametric garch models to characterise crude oil price volatility is widely observed in the empirical literature in this paper we consider an alternative approach involving nonparametric method to model and forecast oil price return volatility focusing on two crude oil markets brent and west texas intermediate wti we show that the out of sample volatility forecast of the nonparametric garch model yields superior performance relative to an extensive class of parametric garch models these results are supported by the use of robust loss functions and the hansen s 2005 superior predictive ability test the improvement in forecasting accuracy of oil price return volatility based on the nonparametric garch model suggests that this method offers an attractive and viable alternative to the commonly used parametric garch models

applied econometrics and implications for energy economics research abstract developments in applied econometrics particularly with regard to unit root tests and cointegration tests have motivated a rich empirical literature on energy economics over the last decade this study reviews recent developments in time series econometrics applications in the energy economics literature we first consider the literature on the integration properties of energy variables we begin with a discussion of the implications of whether energy variables contain a unit root and proceed to examine how results differ according to the specific unit root or stationarity test employed we then proceed to examine recent developments in the literature on cointegration granger causality and long run estimates between disaggregated energy consumption and economic growth we review both single country and panel studies and pay particular attention to studies which have expanded the literature through adding variables such as financial development and trade in addition to energy consumption to the augmented production function as well as studies which have extended the literature through examining disaggregated energy consumption by type in each case we highlight best practice in the literature point to limitations in the literature including econometric modeling challenges and suggest recommendations for future research a key message of our survey is that the profession needs to guard against overload of research in these areas as most applied studies are no longer adding anything more to what is already known

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

the efficiency of the crude oil markets evidence from variance ratio tests this study examines the random walk hypothesis for the crude oil markets using daily data over the period 1982 2008 the weak form efficient market hypothesis for two crude oil markets uk brent and us west texas intermediate is tested with non parametric variance ratio tests developed by wright j h 2000 alternative variance ratio tests using ranks and signs journal of business and economic statistics 18 1 9 and belaire franch j and contreras d 2004 ranks and signs based multiple variance ratio tests working paper department of economic analysis university of valencia as well as the wild bootstrap variance ratio tests suggested by kim j h 2006 wild bootstrapping variance ratio tests economics letters 92 38 43 we find that the brent crude oil market is weak form efficiency while the wti crude oil market seems to be inefficiency on the 1994 2008 sub period suggesting that the deregulation have not improved the efficiency on the wti crude oil market in the sense of making returns less predictable

oil shock and economic growth in japan a nonlinear approach abstract this paper investigates the relationship between oil price shock and economic growth on the basis of the nonlinear approach developed by hamilton hamilton j 2001 a parametric approach to flexible nonlinear inference econometrica 537 573 we use the approach also in hamilton hamilton j 2003 what is an oil shock journal of econometrics 363 398 of capturing this relationship in japan in a nonlinear model the idea is that negative oil price shocks price increase tend to have larger impact on growth than positive shocks do our empirical evidence confirmed the existence of nonlinearity between these two variables and a flexible nonlinear model is estimated additionally several other form of nonlinearity are estimated and tested

readjustment potentials in industrial energy efficiency and structure abstract with the availability of input output data for 1977 it is possible to analyze the short run effects of the 1974 energy price increase as well as other factors on the energy efficiency of the industries of the economy such an analysis is conducted here using a number of measures derived through the energy input output model attention is focused on patterns of energy use changes in energy intensities through time and the factors which underlie these changes a specific measure of the degree to which energy substitution is attributable to changes in direct and indirect energy requirements is developed and estimated results show that large changes in the economy s overall industrial energy requirements are not observed between 1963 and 1977 however for individual fuels large changes in intensity values are not at all uncommon among industries

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

federal reserve information and the behavior of interest rates this paper tests for the existence of asymmetric information between the federal reserve and the public by examining federal reserve and commercial inflation forecasts it demonstrates that the federal reserve has considerable information about inflation beyond what is known to commercial forecasters it also shows that monetary policy actions provide signals of the federal reserve s information and that commercial forecasters modify their forecasts in response to those signals these findings may explain why long term interest rates typically rise in response to shifts to tighter monetary policy jel e52 e43 d82 asymmetric information between the federal reserve and the public is a phenomenon that is often posited but rarely tested numerous models of central bank behavior for example show that the existence of asymmetric information has important implications for the effectiveness of policy and the consequences of dynamic inconsistency yet there

long memory and structural changes in the forward discount an empirical investigation abstract we analyze the evidence for long memory and structural changes in the five g7 countries forward discount we establish evidence for long memory by estimating the long memory parameter without allowing for structural breaks we also document evidence for multiple structural breaks in the mean of the forward discount we then adjust for structural changes in the forward discount rate and re estimate the long memory parameter after removing the breaks we still find evidence of stationary long memory in each country s forward discount

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

jump dynamics with structural breaks for crude oil prices this study investigates the joint phenomena of permanent and transitory components in conditional variance and jump intensity along with verification of structural breaks for crude oil prices we adopt a component arji model with structural break analysis utilizing daily data on west texas intermediate crude oil spot and futures contracts the analytical results verify the existence of permanent and transitory components in conditional variance with the permanent component of conditional variance increasing with the occurrence of a sudden major event such as the iraqi invasion of kuwait operation desert storm and the war between the us and iraq and a relatively greater increase in the transitory component over the same period notably jump intensity fluctuates with an increase in the transitory component of conditional variance in response to abnormal events it is the transitory component which serves as the primary influential factor for jumps in returns therefore speculators are willing to take large risks particularly with respect to anticipating future price movements or gambling in the hopes of rapidly making substantial gains thus speculators prefer the temporary volatility component and engage in trade activities however investors prefer the permanent volatility component because they may well be better off relocating their assets into more stable portfolios to outperform the market portfolio over the long run

forecasting the volatility of crude oil futures using har type models with structural breaks abstract we introduce sixteen har type volatility models with structural breaks and estimate their parameters by applying 5 min high frequency transaction data for wti crude oil futures we find significant structural breaks in the volatility of crude oil futures additionally the historical realized volatility continuous sample path variation negative realized semivariance signed jump signed semi jump and leverage components contain substantial and salient information for forecasting the volatility of crude oil futures then we use loss functions to assess the forecasting performance of these sixteen new models and finally rank these models using the promethee ii method our results indicate that different models exhibit different predictive power in forecasting the 1 day 1 week and 1 month volatility of crude oil futures of the new har type models the new har rsv model performs best at forecasting the 1 day and 1 month volatilities whereas the new har cj best forecasts the 1 week volatility

forecasting oil price trends using wavelets and hidden markov models the crude oil price is influenced by a great number of factors most of which interact in very complex ways for this reason forecasting it through a fundamentalist approach is a difficult task an alternative is to use time series methodologies with which the price s past behavior is conveniently analyzed and used to predict future movements in this paper we investigate the usefulness of a nonlinear time series model known as hidden markov model hmm to predict future crude oil price movements using an hmm we develop a forecasting methodology that consists of basically three steps first we employ wavelet analysis to remove high frequency price movements which can be assumed as noise then the hmm is used to forecast the probability distribution of the price return accumulated over the next f days finally from this distribution we infer future price trends our results indicate that the proposed methodology might be a useful decision support tool for agents participating in the crude oil market

energy price slump and policy response in the coal chemical industry district a case study of ordos with a system dynamics model we employ system dynamics method towards a coal chemical industry district economy evolution model using coal industry the coal chemical industry their downstream industries and the manufacture related service industry moreover we construct energy price and policy response scenarios based on ordos management experience the results show that the energy price slump had a negative impact on the overall economic development of the coal chemical industry district despite promoting non resource industries furthermore policies had different effects on the industry s output value and profit in the long term developing alternative industries ai helps increase the industrial output value and profit decreasing value added tax vat has immediate results and a distinctive effect on industrial short term production value and profit its long term effect being limited the effect of production limit pl on industrial profit is stronger than output value and financial support fs is more conducive to improve the latter however coal mining and coal chemical loan increases decrease the gross industrial profit level technology innovation ti has the best individual policy overall effect on production value and profits furthermore the simultaneous implementation of pl ti and ai can generate the synergy effect for each of them and the simultaneous implementation of vat and one or couple of other policies will generate the crowding out effect both for vat and other policies

cheap talk and the fed a theory of imprecise policy announcments this paper examines the problem faced by the federal reserve in announcing its private information about its future policies because it would like to manipulate expectations and pursue a time inconsistent policy the fed cannot reveal its policy objectives precisely and credibly it can however communicate some information about its goals through the cheap talk mechanism of vincent crawford and joel sobel making announcements that are imprecise and only giving ranges within which these goals may lie copyright 1989 by american economic association

are the crude oil markets becoming weakly efficient over time a test for time varying long range dependence in prices and volatility this paper analyzes the efficiency of crude oil markets brent and west texas intermediate by means of estimating the fractal structure of these time series we test for time varying degrees of long range dependence using the rescaled range hurst analysis and find evidence that this market has become more efficient over time these results are robust for controlling for short term autocorrelation by means of a shuffling procedure

forecasting volatility in the biofuel feedstock markets in the presence of structural breaks a comparison of alternative distribution functions abstract the need for research on commodity volatility has grown considerably due to the important role and financialization of commodities in global asset markets this paper examines the volatility forecasting performance of a wide variety of garch based models in the context of biofuel feedstock markets in the presence of structural breaks our sample is also extended to several non renewable energy commodities to evaluate comparatively the volatility forecasting performance across various commodity markets the model specifications allow for different conditional distribution functions in the rolling window estimations a break detection algorithm finds significant evidence of structural breaks in the unconditional variance of all commodity returns under study the out of sample analysis which is based on an up to date model comparison testing procedure reveals that volatility models accommodating structural breaks in the data provide the best volatility forecasts for most cases regarding the relevance of distribution functions the skewed normal distribution dominates in the model confidence sets nevertheless the complex distribution functions do not always outperform simpler ones although true return distribution is asymmetric and heavy tailed

a markov switching model of the conditional volatility of crude oil futures prices abstract this paper examines the temporal behaviour of volatility of daily returns on crude oil futures using a generalised regime switching model that allows for abrupt changes in mean and variance garch dynamics basis driven time varying transition probabilities and conditional leptokurtosis this flexible model enables us to capture many complex features of conditional volatility within a relatively parsimonious set up we show that regime shifts are clearly present in the data and dominate garch effects within the high volatility state a negative basis is more likely to increase regime persistence than a positive basis a finding which is consistent with previous empirical research on the theory of storage e g fama and french 1988a fama and french 1988b and ng and pirrong 1994 the volatility regimes identified by our model correlate well with major events affecting supply and demand for oil out of sample tests indicate that the regime switching model performs noticeably better than non switching models regardless of evaluation criteria we conclude that regime switching models provide a useful framework for the financial historian interested in studying factors behind the evolution of volatility and to oil futures traders interested short term volatility forecasts

forecasting crude oil market volatility further evidence using garch class models abstract this paper extends the work of kang et al 2009 we use a greater number of linear and nonlinear generalized autoregressive conditional heteroskedasticity garch class models to capture the volatility features of two crude oil markets brent and west texas intermediate wti the one five and twenty day out of sample volatility forecasts of the garch class models are evaluated using the superior predictive ability test and with more loss functions unlike kang et al 2009 we find that no model can outperform all of the other models for either the brent or the wti market across different loss functions however in general the nonlinear garch class models which are capable of capturing long memory and or asymmetric volatility exhibit greater forecasting accuracy than the linear ones especially in volatility forecasting over longer time horizons such as five or twenty days

oil prices stock markets and portfolio investment evidence from sector analysis in europe over the last decade this article extends the understanding of oil stock market relationships over the last turbulent decade unlike previous empirical investigations which have largely focused on broad based market indices national and or regional indices we examine short term linkages in the aggregate as well as sector by sector levels in europe using different econometric techniques our main findings suggest that the reactions of stock returns to oil price changes differ greatly depending on the activity sector in the out of sample analysis we show that introducing oil asset into a diversified portfolio of stocks allows to significantly improve its risk return characteristics

macroeconomic uncertainty indices based on nowcast and forecast error distributions abstract we propose new indices to measure macroeconomic uncertainty the indices measure how unexpected a realization of a representative macroeconomic variable is relative to the unconditional fo

oil and energy price volatility it is commonly believed that since the 1973 oil crisis oil and energy prices have been more volatile than other commodity prices this study examines monthly producer prices for thousands of products over the period january 1945 through august 2005 the results show that crude oil refined petroleum and natural gas prices are more volatile than prices for about 95 of products sold by domestic producers relative to crude commodities however crude oil prices are currently more volatile than about 65 of other products and oil price volatility first exceeded the median for crude commodities following the 1986 drop in oil prices

shocking language understanding the macroeconomic effects of central bank communication we explore how the multi dimensional aspects of information released by the fomc has effects on both market and real economic variables using tools from computational linguistics we measure the information released by the fomc on the state of economic conditions as well as the guidance the fomc provides about future monetary policy decisions employing these measures within a favar framework we find that shocks to forward guidance are more important than the fomc communication of current economic conditions in terms of their effects on market and real variables nonetheless neither communication has particularly strong effects on real economic variables

forecasting the good and bad uncertainties of crude oil prices using a har framework abstract good or bad uncertainty is the volatility that is associated with positive or negative innovations to asset prices this paper proposes new heterogeneous autoregressive type har type models to forecast the good and bad uncertainties of crude oil prices in this paper we investigate the effects of lagged bad and good uncertainties daily positive and negative signed jump variations and leverages on predicting good and bad uncertainties by in sample and out of sample analysis the in sample results show that bad and good uncertainties have long memory property and the predictability of long term good and bad uncertainties is stronger than that of short and mid term good and bad uncertainties the out of sample results indicate that lagged bad or good uncertainties daily positive signed jump variation and daily negative signed jump variation contain incremental out of sample information for forecasting good or bad uncertainties and in most cases lagged leverages also play indispensable roles in forecasting the good and bad uncertainties in the crude oil market moreover the results of out of sample analysis remain robust across using the other estimation window other har type models and the other sample

the conditional heteroscedasticity of the yen dollar exchange rate this paper examines the conditional heteroscedasticity of the yen dollar exchange rate a model is constructed by extending the asymmetric power autoregressive conditional heteroscedasticity model to a process that is fractionally integrated it is found that unlike the equity markets the appreciation and depreciation shocks of the yen against the dollar have similar effects on future volatilities although the results reject both the stable and the integrated models our analysis of the response coefficients of the past shocks and the application of the models to the estimation of the capital requirements for trading the currencies show that there are no substantial differences between the fractionally integrated models and the stable models 1998 john wiley sons ltd

volatility persistence in crude oil markets financial market participants and policy makers can benefit from a better understanding of how shocks can affect volatility over time this study assesses the impact of structural changes and outliers on volatility persistence of three crude oil markets brent west texas intermediate wti and organization of petroleum exporting countries opec between january 2 1985 and june 17 2011 we identify outliers using a new semi parametric test based on conditional heteroscedasticity models these large shocks can be associated with particular event patterns such as the invasion of kuwait by iraq the operation desert storm the operation desert fox and the global financial crisis as well as opec announcements on production reduction or us announcements on crude inventories we show that outliers can bias i the estimates of the parameters of the equation governing volatility dynamics ii the regularity and non negativity conditions of garch type models garch igarch figarch and hygarch and iii the detection of structural breaks in volatility and thus the estimation of the persistence of the volatility therefore taking into account the outliers on the volatility modelling process may improve the understanding of volatility in crude oil markets

forecasting energy market volatility using garch models can multivariate models beat univariate models abstract in this paper we forecast energy market volatility using both univariate and multivariate garch class models first we forecast volatilities of individual assets and find that multivariate models display better performance than univariate models second we forecast crack spread volatility and contrast the performance of multivariate models for two underlyings with the alternative of univariate ones for crack spreads directly our evidence shows that univariate models allowing for asymmetric effects display the greatest accuracy we also discuss the hedging strategy based on multivariate models and its implications for market participants

crude oil price analysis and forecasting a perspective of new triangle abstract in this paper the new structural characteristics and core influencing factors of the crude oil prices are summarized based on previous representative research results firstly a newly dynamic bayesian structural time series model dbsts is developed to investigate the oil prices in particular google trend is introduced as an indicator to reflect the impact of search data on the oil price secondly the spike and slab method is employed to select core influence factors finally the bayesian model average bma is utilized to predict the oil price experimental results confirm that the supply and demand of global crude oil and the financial market are still the main factors affecting the oil price furthermore google trend can reflect the changes in the crude oil price to a certain extent moreover the impact of shale oil production on the oil price is gradually increasing yet remains relatively small in addition the dbsts model can identify turning points in historical data such as the 2008 financial crisis finally the findings suggest the dbsts model has good predictive capabilities in short term prediction making it suitable for analyzing the crude oil prices

strategic central bank communication discourse analysis of the bank of japan s monthly report abstract we conduct a discourse analysis of the bank of japan s monthly report and examine its characteristics in relation to business cycles we find that ambiguous expressions tend to appear more frequently with negative expressions and this tendency is more pronounced in recessions this suggests that the central bank communicates strategically by obfuscating the reports when their private information is unfavorable

modeling and forecasting the volatility of petroleum futures prices we investigate volatility models and their forecasting abilities for three types of petroleum futures contracts traded on the new york mercantile exchange west texas intermediate crude oil heating oil 2 and unleaded gasoline and suggest some stylized facts about the volatility of these futures markets particularly in regard to volatility persistence or long memory properties in this context we examine the persistence of market returns and volatility simultaneously using the following arfima garch class models arima garch arfima garch arfima igarch and arfima figarch although the arfima figarch model better captures long memory properties of returns and volatility the out of sample analysis indicates no unique model for all three types of petroleum futures contracts suggesting that investors should be careful when measuring and forecasting the volatility risk of petroleum futures markets

a dynamic hierarchical approach to understanding and managing natural economic systems the study of economic systems and their guidance towards sustainability can be enhanced by understanding how natural systems use materials and energy at various levels of system organization how these levels interrelate and how interrelationships change towards this end the paper introduces natural economics as an approach to understanding the dynamics of hierarchical systems we define the concepts of natural economics to facilitate the description and assessment of system change and present dynamic modeling as a method for empirical research and as a tool for management decision making we illustrate with empirical applications the use of dynamic modeling at various levels of system organization empirical illustrations range from dynamic models of simple physical systems of material transport energy degradation and self organized criticality to models of complex industrial systems such as us iron ore mining and steel production the insights derived from the natural economics approach are used to draw conclusions for the study and management of economy environment interactions

transparency and deliberation within the fomc a computational linguistics approach how does transparency a key feature of central bank design aect the deliberation of monetary policymakers we exploit a natural experiment in the federal open market committee in 1993 together with computational linguistic models particularly latent dirichlet allocation to measure the eect of increased transparency on debate commentators have hypothesized both a benecial discipline eect

forecasting the real prices of crude oil using forecast combinations over time varying parameter models abstract in this paper we forecast real prices of crude oil using real time forecast combinations over time varying parameter tvp models with single predictor we reveal the significant predictability at all horizons up to 24 months the mean squared predictive error reduction over the benchmark of no change forecast is as high as 17 and the directional accuracy as high as 0 645 a combination with tvp models is found to generate more accurate forecasts than the same combination with constant coefficient models because the forecast errors of individual tvp models are correlated at a lower degree we also evaluate the forecasting performance in the framework of density forecasting our results indicate that the benchmark model can be significantly outperformed by forecast combination at the horizons longer than 3 months

does clarity of central bank communication affect credibility evidences considering governor specific effects central banks have made great efforts to increase transparency and accountability to the public since then studies seek empirical evidences about the effects of monetary policy communication over

ecological pricing and economic efficiency abstract there is a need to accurately account for the contributions of environmental assets to the overall economy such accounting would permit policies that allow protection of important natural resources and aid the analytic process to determine an accurate basis for a sustainable economy the aim is to develop an accounting framework for ecology that is sufficiently consistent with the economic framework that the two can be fruitfully combined with appropriate definitions of the flows the two systems can be connected into a common framework no single measure of the system productivity and efficiency can be given for the combined system however until the ecosystem metabolism can be converted into economic terms this could be done with a series of economic valuation techniques ecological prices could then be estimated and a single measure of ecological economic output could be given with the net combined system input and output now in common terms a technical system efficiency measure can logically be proposed because human activity inevitably involves dissipation such emissions would now have a monetary price because such emissions are irrecoverable the total output of the combined system is greater than it is under the current definition giving rise to a technical system wide efficiency measure

renewable energy regulation and structural breaks an empirical analysis of spanish electricity price volatility abstract international experience proves that electricity prices have undergone major changes in volatility since the entry of green technologies the intermittency of renewable sources is one of the reasons for these changes as it leads to higher volatility in periods of higher participation by renewables we argue that the development of the regulatory system promoting renewable electricity also plays a crucial role we raise a question that deserves attention could an incentive scheme induce higher share of renewables and lower volatility simultaneously in this paper we conduct an empirical analysis with spanish data we analyze possible ensuing structural changes in spanish electricity spot price volatility from january 2002 to december 2017 we identify two structural breaks linked to important measures related to renewable electricity i the abolishment of the feed in tariff scheme and ii the establishment of a more market oriented regulation based on investment and operating costs we conclude that stable regulatory policies reduce volatility even though the presence of renewable sources is greater furthermore market based policy measures achieve lower volatility encouraging good integration of intermittent renewable electricity

oil prices and economic activity an asymmetric cointegration approach the aim of this paper is to study the long term relationship between oil prices and economic activity proxied by gdp to account for asymmetries existing in the links between the two variables we propose an approach based on asymmetric cointegration our empirical analysis concerns the u s economy but also the g7 europe and euro area economies results indicate that while standard cointegration is rejected there is evidence for asymmetric cointegration between oil prices and gdp

sustainability analysis of a society based on exergy studies a case study of the island of samso denmark abstract the danish island samso has since 1997 initiated a process through which the island should reach a state where it would be able to supply its own energy such a situation was reached since 2005 after having established 21 windmills and the island is now a net exporter of electricity to the danish power network at the same time the buildings in the more habituated areas were connected to 4 district heating plants which generate heat from combustion of straw in some cases combined with supplementary inputs from photo thermal devices meanwhile certain activities on the island such as running the ferries cars factories and heating in more distant areas are still dependent on significant input of fossil fuels the inhabitants have recently stated a wish to move on towards being independent of fossil fuels in 2030 and carbon neutral during the next decades as a consequence the idea came up to develop a method for the sustainability analysis of a society which would assist in governing the transitional process in the direction of increasing sustainability therefore a framework has been developed based on the concept exergy that may reveal where large consumptions are taking places such areas are likely to be sensible targets for action or at least increased attention basic methods have been developed that allows to account for infrastructure transfers inputs and outputs and consumption in terms of exergy and taking into account whether the exergy storages or flows can be considered to be renewable or not the framework has been developed for six societal sectors the energy sector the public sector the private households the agricultural sector the industry commerce and trade sector and nature nature is here considered an activity that provides the society with an exergy that may also be of value to our societies often referred to as ecosystem services based on the estimated amount of infrastructure and transfers inputs and outputs a number of sustainability indicators have been developed that may be monitored over time and which may serve to indicate whether potential measures undertaken also lead the society in the right direction an attempt to evaluate the potential importance of wastes has also been carried out as in organic waste could play an important role in acquiring the amount of bio diesel required to run the ferries in the future the results demonstrate that the already existing overhead in production of electricity leaves the island with many options and a great opportunity to be independent of fossil fuels in near future in fact it might well be that socio economical perspectives will turn out to be the more severe obstacles in the transition process adjacent to this work a carbon model has also been set up to reveal the consequence of proposed measures and strategies to the carbon budget of the island jorgensen and nielsen 2014

applying arma garch approaches to forecasting short term electricity prices abstract accurately modeling and predicting the mean and volatility of electricity prices can be of great importance to value electricity bid or hedge against the volatility of electricity prices and manage risk the paper applies various autoregressive moving average arma models with generalized autoregressive conditional heteroskedasticity garch processes namely arma garch models along with their modified forms arma garch in mean arma garch m to model and forecast hourly ahead electricity prices in total 10 different model structures are adopted and this paper thus conducts a comprehensive investigation on the arma garch based time series forecasting of electricity prices multiple statistical measures are employed to evaluate the modeling sufficiency and predication accuracy of the arma garch m methods the results show that the arma garch m models are in general an effective tool for modeling and forecasting the mean and volatility of electricity prices while arma sgarch m models are simple and robust and the arma gjrgarch m model is very competitive in addition we observe that hourly electricity prices exhibit apparent daily weekly and monthly periodicities and have the nonlinear and asymmetric time varying volatility together with an inverse leverage effect