a semiparametric approach to short term oil price forecasting abstract in this paper it is shown how the garch properties of oil price changes can be employed to forecast the oil price distribution over short term horizons the forecasting methodology is semiparametric and it is based on the bootstrap approach the results of an out of sample forecasting exercise carried out using the brent oil price series suggest that the forecasting approach can be used to obtain a performance measure for the forward price in addition to compute interval forecasts for the oil price

price volatility in the carbon market in china abstract china is the world s largest developing country and a carbon dioxide emitter a functional carbon market can effectively reduce carbon emissions this paper uses the markov chain monte carlo stochastic volatility model and the wavelet multi resolution model to analyze the volatility of price returns and the dynamic characteristics of price fluctuations in the carbon pilot markets in hubei shanghai and shenzhen the price movements in these markets are compared to the emissions trading system of the european union eu ets the results show that there is a volatility clustering in the price of carbon trading in hubei shanghai shenzhen and the eu ets china s carbon pilot markets have a deficiency in terms of volatility stability as does the eu ets from a long term perspective china s carbon market lacks a detailed development plan which is vital because the construction of the market system is not yet optimal from a short term view china s carbon market is not active and the participants attitude toward risk is extremely sensitive

the inverted pyramid a neo ricardian view on the economy environment relationship abstract in ecological economics natural resources which may contribute only a small amount to gdp are viewed as fundamental to the functioning of the economy they are sometimes pictured as sitting at the base of an inverted pyramid with the rest of the economy balanced on top of them in this paper we show that when prices are set by markup a standard heterodox assumption then the inverted pyramid picture of the economy emerges naturally in a neo ricardian model we demonstrate the use of the model with brief applications to biophysical economics the paper is one of a growing number that use heterodox macroeconomics to address questions in ecological economics

time series econometric analyses of biofuel related price volatility time series econometrics studies have analyzed volatility interactions between biofuel and food and fossil fuel markets we review data modeling techniques and the main findings in the literature and present our latest contributions we identify areas for further research

crude oil corn ethanol nexus a contextual approach this paper offers a holistic study on the complex relationships between crude oil corn and ethanol during a turbulent period between 2006 and end of 2011 through a holistic mapping of the current market situation and a contextual analytical design we show that there exists a strong relationship between crude oil and corn markets on one side and crude oil and ethanol on the other however the price relationship between corn and ethanol was revealed to be less straightforward and is driven by the us government fuel policy furthermore the study indicates that corn markets have became more prone to volatility due to ethanol production especially when the demand for corn is high and or the crude oil prices are high enough to create a competitive market for ethanol

correlations between biofuels and related commodities before and during the food crisis a taxonomy perspective abstract in this paper we analyze the relationships between the prices of biodiesel ethanol and related fuels and agricultural commodities with a use of minimal spanning trees and hierarchical trees to distinguish between short term and medium term effects we construct these trees for different frequencies weekly and monthly we find that in short term both ethanol and biodiesel are very weakly connected with the other commodities in medium term the biofuels network becomes more structured the system splits into two well separated branches a fuels part and a food part biodiesel tends to the fuels branch and ethanol to the food branch when the periods before and after the food crisis of 2007 2008 are compared the connections are much stronger for the post crisis period this is the first application of this methodology on the biofuel systems

dynamic spillover effects among crude oil precious metal and agricultural commodity futures markets abstract this paper examines spillover effects among six commodity futures markets gold silver west texas intermediate crude oil corn wheat and rice by employing the multivariate deco garch model and the spillover index specifically we investigate the dynamics of return and volatility spillover indices to reveal the intensity and direction of transmission during the recent global financial and european sovereign debt crises our empirical results are as follows first we estimate a positive equicorrelation between commodity futures market returns and find that it increased sharply during the crises this effect can persist during periods of economic and financial turmoil diminishing the benefits of international portfolio diversification for investors second we identify bidirectional return and volatility spillovers across commodity futures markets and find more pronounced trends in their levels in the post crisis period this indicates the strong impact of spillovers during crisis periods third both gold and silver are information transmitters to other commodity futures markets while the remaining four commodity futures investigated were receivers of spillovers during recent periods of financial stress finally we analyse the optimal portfolio weights and time varying hedge ratios between metal and other commodities futures markets overall our findings provide new insights into channels of information transmission which may improve investment decisions and inform portfolio investors trading strategies

period specific volatility spillover based connectedness between oil and other commodity prices and their portfolio implications abstract this paper analyses the changing impact of oil price shocks on a bouquet of metal and agro prices and their implications for investment decisions during different oil price regimes separated by structural breaks endogenously identifying the structural breaks we use network analysis to decipher the nature and extent of such shock transfer across different sub periods we suggest optimal portfolios based on conditional variance estimates to hedge oil shocks during each period this is the first study to analyse the portfolio decisions during specific oil price regimes the results are of significant interest to investors and policy makers

the impact of global oil price shocks on china s bulk commodity markets and fundamental industries this paper investigated the reaction of aggregate commodity market to oil price shocks and also explored the effects of oil price shocks on china s fundamental industries metals petrochemicals grains and oilfats we separated the volatilities of oil price into expected unexpected and negatively expected categories to identify how oil prices influence bulk commodity markets we contrasted the results between different periods and among classified indices in order to discover the significant changes in recent years and the differences at an industry level our results indicate that the aggregate commodity market was affected by both expected and unexpected oil price volatilities in china the impact of unexpected oil price volatilities became more complex after 2007 the metals and grains indices did not significantly respond to the expected volatility in oil prices in contrast to the petrochemicals and oilfats indices these results not only contribute to advancing the existing literature but also merit particular attention from policy makers and market investors in china

considering macroeconomic indicators in the food before fuel nexus abstract a structural vector autoregression svar model along with a direct acyclic graph is employed to decompose how supply demand structural shocks affect food and fuel markets the results support the hypothesis that fundamental market forces of demand and supply are the main drivers of food price volatility increased biofuel production may cause short run food price increases but not long run price shifts decentralized freely operating markets will mitigate the persistence of any price shocks and restore prices to their long run trends the main policy implications are that oil gasoline and ethanol market shocks do not spillover into grain prices which indicates no long run food before fuel issue in the short run grain prices can spike due to market shocks so programs designed to blunt these price spikes may be warranted

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

analyzing the time frequency lead lag relationship between oil and agricultural commodities abstract we analyze the time frequency co movement of and lead lag relationship between price indices of oil and 21 agricultural commodities and attempt to identify the leader and follower among the considered price indices for the 1980m1 2017m5 period the empirical analysis is conducted using four wavelet tools wavelet coherency phase difference multiple correlation and multiple cross correlation the first two tools are used to identify the time frequency co movement of and lead lag relationship between price indices of oil and 21 agricultural commodities and the third and fourth tools are used to identify the leader and follower among all series of price indices across different scales our results on wavelet coherency show a high degree of co movement at a long run horizon for the entire period between the price indices of oil and coal cotton fishmeal maize rice rubber and wheat furthermore the connection between these commodity markets and the oil market strengthened after 2000 indicating the importance of financial crisis phenomena and geopolitical turbulence additional findings show that short run investors should invest in the beef and swine pork markets as they have very little correlation with the oil markets the results of multiple correlation and multiple cross correlation analysis show that the coffee price was leader or follower across all time scales except wavelet scale 16 where barely was a leader or a follower

forward curves scarcity and price volatility in oil and natural gas markets the role of inventory in explaining the shape of the forward curve and spot price volatility in commodity markets is central in the theory of storage developed by kaldor kaldor n 1939 speculation and economic stability the review of economic studies 7 1 27 and working working h 1949 the theory of the price of storage american economic review 39 1254 1262 and has since been documented in a vast body of financial literature including the reference paper by fama and french fama e f and k r french 1987 commodity futures prices some evidence on forecast power premiums and the theory of storage journal of business 60 55 73 on metals the goal of this paper is twofold i validate in the case of oil and natural gas the use of the slope of the forward curve as a proxy for inventory the slope being defined in a way that filters out seasonality ii analyze directly for these two major commodities the relationship between inventory and price volatility in agreement with the theory of storage we find that i the negative correlation between price volatility and inventory is globally significant for crude oil ii this negative correlation prevails only during those periods of scarcity when the inventory is below the historical average and increases importantly during the winter periods for natural gas our results are illustrated by the analysis of a 15 year database of us oil and natural gas prices and inventory

food energy nexus in europe price volatility approach abstract the literature on food biofuel price volatility spillovers is growing published articles so far have widely ignored nonlinearities and the influence of exogenous variables on volatility patterns this article allows for these issues when characterizing eu biodiesel industry price dynamics while brazilian and us ethanol markets have been thoroughly investigated less attention has been paid to eu biodiesel markets pure eu biodiesel and rapeseed oil prices are the object of our research two different methods are applied to model these data a parametric approach and long et al s 2011 semiparametric approach empirical results suggest significant asymmetries in volatility spillovers between pure biodiesel and rapeseed oil prices rapeseed stock levels and euro dollar exchange rates are found to play a significant role in reducing food and biofuel price volatilities

co movement of major energy agricultural and food commodity price returns a time series assessment abstract using monthly data between 1970 and 2013 we provide a comprehensive analysis of the extent of co movement measured by correlation coefficients among the nominal price returns of 11 major energy agricultural and food commodities we study the degree and the time evolution of unconditional and conditional correlations using a uniform spacings estimation and testing approach multivariate dynamic conditional correlation models and a rolling regression procedure we find that 1 the price returns of energy and agricultural commodities are highly correlated 2 the overall level of co movement among commodities increased in recent years especially between energy and agricultural commodities and in particular in the cases of maize and soybean oil which are important inputs in the production of biofuels and 3 the stock market volatility is positively associated with the co movement of price returns across markets especially after 2007

food oil volatility spillovers and the impact of distinct biofuel policies on price uncertainties on feedstock markets over recent decades the link between crude oil and agricultural markets has been reinforced following the introduction of biofuels we use timely measures of co variation spillovers to analyze the role of crude oil in shaping price uncertainties of agricultural commodities which are largely used as biofuel feedstocks our sectoral and market specific measures distinguish tranquil 1995 2005 and crisis episodes 2006 2015 as well as periods during which either consumption mandates or tax credits were enacted to spur biofuels during the crisis period crude oil volatility transmissions account for 16 20 of price uncertainties in ethanol biodiesel feedstock markets on average moreover we find evidence of enhanced volatility transmissions under tax credit regimes compared with consumption mandates the results from pooled regressions confirm stronger volatility transmissions by about 12 under the enactment of tax credits

do energy prices stimulate food price volatility examining volatility transmission between us oil ethanol and corn markets this paper examines volatility transmission in oil ethanol and corn prices in the united states between 1997 and 2011 we follow a multivariate garch approach to evaluate the level of interdependence and the dynamics of volatility across these markets preliminary results indicate a higher interaction between ethanol and corn markets in recent years particularly after 2006 we only observe however significant volatility spillovers from corn to ethanol prices but not the converse we also do not find major cross volatility effects from oil to corn markets the results do not provide evidence of volatility in energy markets stimulating price volatility in grain markets

correlations in price changes and volatility across international stock markets the short run interdependence of prices and price volatility across three major international stock markets is studied daily opening and closing prices of major stock indexes for the tokyo london and new york stock markets are examined the analysis utilizes the autoregressive conditionally heteroskedastic arch family of statistical models to explore these pricing relationships evidence of price volatility spillovers from new york to tokyo london to tokyo and new york to london is observed but no price volatility spillover effects in other directions are found for the pre october 1987 period article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

bibliography of robert m solow s publications 1950 1987 1952 6 an econometric model of interindustry flows with k j arrow and r shephard abstract econometrica july 1952 7 on the structure of linear models econometrica january 1952 8 review of w e deming some theory of sampling review of econometrics and statistics may 1952 9 review of r dorfman application of linear programming to the theory of the firm journal of american statistical association june 1952 10 review of t c koopmans ed activity analysis of production and allocation journal of american statistical association june 1952 11 review of r roy ed cahiers dii seminaire deconometrie no 1 journal of american statisticalassociation december 1952

volatility linkages between energy and agricultural commodity prices abstract we investigate price and volatility risk originating in linkages between energy and agricultural commodity prices in germany and study their dynamics over time we propose an econometric approach to quantify the volatility and correlation risk structure which has a large impact for investment and hedging strategies of market participants as well as for policy makers volatilities and their short and long run linkages are analyzed using an asymmetric dynamic conditional correlation garch model as well as a multivariate multiplicative volatility model our approach provides a flexible and accurate fitting procedure for volatility and correlation risk we find that in the long run prices move together and preserve an equilibrium while correlations are mostly positive with persistent market shocks our results reveal that concerns about biodiesel being the cause of high and volatile agricultural commodity prices are rather unjustified

impact of food price volatility on the us restaurant sector although fluctuations in agricultural commodity prices appear to be a source of risk to the us restaurant sector the effect that volatility of food price has on the performance returns of that s

biofuel related price transmission literature a review abstract in this article an extensive review of the rapidly growing biofuel related time series literature is carried out the data used the modeling techniques and the main findings of this literature are discussed providing a review of this flourishing research area is relevant as a guidepost for future research this literature concludes that energy prices drive long run agricultural price levels and that instability in energy markets is transferred to food markets

the impact of uncertainty shocks on the volatility of commodity prices in this paper we empirically examine the impact of uncertainty shocks on the volatility of commodity prices using several alternative measures of economic uncertainty for the u s we estimate their effects on commodity price volatility through var analysis we find that the latent uncertainty shocks have the most significant impact on commodity price volatility when compared to observable measures of economic uncertainty in specific our results show that the unobservable economic uncertainty measures of jurado et al 2015 have a significant and long lasting positive effect on the volatility of commodity prices our findings indicate that a positive shock in unobservable macroeconomic and financial uncertainty leads to a persistent increase in the volatility of the broad commodity market index and of individual commodity prices with the macroeconomic effect being more significant finally we show that the impact is stronger in energy commodities compared to agricultural and metals markets

why do oil prices jump or fall this paper discusses theories that can explain the zig zags of oil prices in general and in particular the recent jump more precisely the following explanations are discussed homo oeconomicus pure profit maximization if demand is dynamic and convex price reaction function price increases and respectively declines depend on capacity utilization cartelization contingent on output or revenues of which the latter can lead to backward bending supply segments and multiple equilibria statistical descriptions mean reversion homo politicus i e arguments for price hikes that are rational public choice despite the long run economic loss finally two approaches are presented that emphasize demand uncertainty one extending the above mentioned dynamic demand framework and the other considers a dynamic game of non competitive suppliers with lumpy investments summing up a demand shock seems to be the most suitable explanation of today s high prices indeed a shock given that international energy agency iea and department of energy doe were promising just a couple of years ago that we are going to have lots of oil at low prices while others and in particular politics have surprisingly little or no explanatory power

oil price dynamics 2002 2006 abstract oil price dynamics during 2002 2006 have been characterized by high volatility high intensity jumps and strong upward drift and were concomitant with underlying fundamentals of oil markets and world economy namely pressure on oil prices resulting from rigid crude oil supply and expanding world demand for crude oil a change in the oil price process parameters would require a change in underlying fundamentals market expectations extracted from call and put option prices anticipated no change in underlying fundamentals in the short term markets expected oil prices to remain volatile and jumpy and with higher probabilities to rise rather than fall above the expected mean

managing product families the case of the sony walkman abstract success in fast cycle industries e g consumer electronics can depend both on rapid model replacement and on model longevity although sony was as fast as any of its chief competitors in getting new models to market an important explanation for the wide variety of models offered by the firm is the greater longevity of its key models this finding adds an important insight to the conventional literature on time based competition which emphasizes rapid innovation exclusively sony s special understanding of the us market enabled it to respond more effectively to life style differences by locating industrial designers in its key markets sony s strong design capability and effective division of labor engineers lead generational and incremental projects industrial designers and market personnel lead topological projects allow for parallel model development investment in manufacturing flexibility amortized over multiple models within the product family make the rapid model changeover possible

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

risk transmission mechanism between energy markets a var for var approach abstract the global financial crisis gfc of 2007 2009 that originated in the us has revealed the need for measuring and monitoring the transmission of extreme downside market risk this paper investigates the risk transmission mechanism between the oil and natural gas markets we apply the recently introduced test statistics based on cross quantilogram function and the multivariate quantile regression model var for var to the us oil and natural gas prices which are independently formed our results show two asymmetric patterns first the shocks in the oil market substantially increase the value at risk var in the natural gas market but the reverse impact does not exist second we highlight the significant asymmetric response of gains and losses transmission in energy markets cautioning about the underlying weakness of adopting volatility to measure risk in the energy market moreover an extreme market risk is more easily transmitted across markets than moderate risks our results are in general robust in application to other regional energy markets such as europe and asia but the heterogeneities in responses are underpinned by the different role of natural gas in regions the findings in this paper have important implications for academic researchers policy makers in gas dependent economies and business practitioners in light of projected increases in the use of natural gas worldwide as well as the development of independent gas on gas competitive hub prices in asia and europe

the dependence structure across oil wheat and corn a wavelet based copula approach using implied volatility indexes abstract this paper examines the dependence structure between three commodities implied volatility indexes oil wheat and corn during bear normal and bull markets and at different scales for this purpose we combine wavelet and copula methods to analyse the changes of the tail dependence at different scales or investment horizons the results support evidence of time varying asymmetric tail dependence between the pair of cereals as well as between oil and the two cereals at different time horizons short term horizon medium term horizon and long term horizon suggesting that the dependence structure is sensitive to time horizons these results have important implications for the analysis of portfolio risk management

the impact of diesel price on upstream and downstream food prices evidence from sao paulo abstract the literature on the transmission of oil price shocks to prices along the food supply chain has widely ignored how shocks upstream differ from downstream ones this article examines this issue by modelling upstream and downstream diesel price shocks along the nutritional high value food supply chain in sao paulo using a vector error correction approach and monthly data from july 2001 to december 2013 we estimate short run and long run dynamics in producer and retail prices of meat eggs dairy and fats oil due to changes in the average monthly price of diesel the results of the granger causality analysis show that the price of diesel cannot be used to predict the behaviour of producer prices in all the markets under study and the price of diesel predicts retail price only in the egg market this result is in line with the nature of price controls in brazil as of january 2002 the prices charged by distributors and retailers have been liberalized although wholesale prices of the derivatives including that of diesel continue to be set by the state oil company with the objective of controlling inflationary pressures the results of the response of food prices to diesel price shocks show a positive response of both upstream and downstream prices of egg and dairy products both upstream and downstream while the opposite direction occurs in the fat and meat markets albeit the initial positive shock of the producer price of meat the findings of the study show the important role of public policy in determining the nature of price transmission along the food supply chain

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

volatility spillovers in commodity markets a large t vector autoregressive approach abstract prices of commodities have shown large fluctuations a high volatility of one commodity today may impact the volatility of another commodity tomorrow as such agricultural and energy commodities are closely dependent due to the expansion of the biofuel industry we study volatility spillovers among a large number of energy agriculture and biofuel commodities using the vector auto regressive var model to account for the possible fat tailed distribution of the model errors we propose the t lasso method for obtaining a large var the t lasso is shown to have excellent properties and a forecast analysis shows that the t lasso attains better forecast accuracy than standard estimators our empirical analysis shows the existence of volatility spillovers between energy and biofuel and between energy and agricultural commodities

volatility spillovers in china s crude oil corn and fuel ethanol markets price volatility spillovers among china s crude oil corn and fuel ethanol markets are analyzed based on weekly price data from september 5 2003 to august 31 2012 employing the univariate egarch model and the bekk mvgarch model respectively the empirical results indicate a higher interaction among crude oil corn and fuel ethanol markets after september 2008 in the overall sample period the results simultaneously provide strong evidence that there exist unidirectional spillover effects from the crude oil market to the corn and fuel ethanol markets and double directional spillovers between the corn market and the fuel ethanol market however the spillover effects from the corn and fuel ethanol markets to the crude oil market are not significant

modelling futures price volatility in energy markets is there a role for financial speculation this paper models volatility in four energy futures markets adopting garch models the variance equation is enriched with alternative measures of speculation based on cftc data the market share of non commercial traders the working s t index and the percentage of net long positions of non commercials over total open interest in future markets it also includes a control for market liquidity we consider four energy commodities light sweet crude oil heating oil gasoline and natural gas over the period 2000 2014 analysed at weekly frequency we find that speculation presents a negative and significant sign the robustness exercise shows that i results remain unchanged through different model specifications garch in mean egarch and tarch ii results are robust to different specifications of the mean and variance equation

time frequency causality and connectedness between international prices of energy food industry agriculture and metals abstract this study analyzes the lead lag relationship between the price indices of energy fuels and each of food industrial inputs agriculture raw materials metals and beverages in the time frequency domain to this end we first use the wavelet coherency and phase differences next we use the diebold and yilmaz 2012 and barunik and krehlik 2017 spillover indices to analyse the connectedness among the set of the price indices under consideration the period of the study is 1990m1 to 2017m5 the wavelet coherency results reveal that there are important and significant relations between the fuel and food prices the fuel and industrial prices and the fuel and metal prices these results also show that there are phase relationships between those paired prices the volatility spillover results indicate that the agricultural sector is the most affected by shocks from the other markets the return series of the industrial input prices at all frequencies appears to be the main source of volatility transmission to the prices of the other commodities over the whole period this finding underlines the relevance of the industrial inputs to policy makers particularly when they design policies to provide incentives related to industrial production

oil price shocks and agricultural commodity prices abstract while the impacts of oil price changes on agricultural commodity markets are of great interest to economists previous studies do not differentiate oil specific shocks from aggregate demand shocks in this paper we address this issue using a structural var analysis our findings indicate that the responses of agricultural commodity prices to oil price changes depend greatly on whether they are caused oil supply shocks aggregate demand shocks or other oil specific shocks mainly driven by precautionary demand oil shocks can explain a minor friction of agricultural commodity price variations before the food crisis in 2006 2008 whereas in post crisis period their explanatory abilities become much higher after crisis the contributions of oil specific factors to variations in agricultural commodity prices are greater than those of aggregate demand shocks the results from an alternative svar confirm the robustness of our main findings

analyzing volatility spillovers and hedging between oil and stock markets evidence from wavelet analysis abstract this paper examines the linkage of crude oil market wti and stock markets of the g 7 countries we study the mean and volatility spillovers of oil and stock market prices over various time horizons we propose a new approach incorporating both multivariate garch models and wavelet analysis wavelet based mgarch approach we combine a bivariate garch bekk model with wavelet multiresolution analysis in order to capture the multiscale features of mean and volatility spillovers between time series for optimal portfolio allocation decisions we analyze the multiscale behavior of hedge ratio empirical results show strong evidence of significant volatility spillovers between oil and stock markets as well as time varying correlations for various market pairs however results of wavelet coherence indicate that in most the wti market was leading in addition it is stated that the decomposed volatility spillovers permit investors to adapt their hedging strategies

a wavelet analysis of mean and volatility spillovers between oil and brics stock markets this paper investigates the spillover effects of volatility and shocks between oil prices and the brics stock markets using multivariate approach and wavelet analysis at different time horizons hence we combine a multivariate arma garch model and wavelet multiresolution analysis to study this phenomenon a bivariate arma 1 1 garch 1 1 cdcc student t model was joined with modwt filter to capture a broad range of possible spillover effects in mean and variances of level prices at various time horizons generally empirical results provide strong evidence of time varying volatility in all markets under study however our proposed approach shows that oil price and stock market prices are directly affected by their own news and volatilities and indirectly affected by the volatilities of other prices and wavelet scale the results show also that mean and volatility spillover effects was decomposed into many sub spillovers on different time scales according to heterogeneous investors and market participants the practical implications of this study are critical innovative and useful for the local and international investors and also for the portfolio managers they can utilize this study to formulate the optimal oil bricks stock portfolios as well as lead to more accurate predictions of volatility spillovers patterns also in developing their hedging strategies

extent and possible causes of intrayear agricultural commodity price volatility wheat corn rice soybeans and cotton experienced higher volatility in the second half of the 2000s for the sample at hand the unit root tests only validate a new period of high volatility for wheat and cotton if in the next couple of years however corn rice and soybeans maintain their higher volatility a new period of high volatility may also be validated statistically regarding the factors driving the intrayear volatility gmm estimates show that commodity market fundamentals i e the stock to use ratio and to a lesser extent the degree of internationalization are the most systematically statistically significant coefficients among commodities over time consecutive low stock to use ratios and a thin international market provoke typically high volatility speculative activity and liquidity in the agricultural derivative market have a stabilizing effect on the spot price if any finally common macro factors significantly impact volatility especially the volatility of petrol and of exchange rates their dispersion importance over the sample is quite sizeable however it is difficult to establish a link between on the one hand loose monetary policy business cycle and inflation and on the other hand commodity price volatility as the sign of the estimated coefficient changes depending on the commodity and the estimated elasticities are quite low

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

on the effects of world stock market and oil price shocks on food prices an empirical investigation based on tvp var models with stochastic volatility abstract transmission of price shocks from one market to another one has long been investigated in the economic literature however studies have namely dealt with the relationship between financial and energy markets with the recent changes in market conditions investors policy makers and interest groups are giving special attention to food market this paper aims at analyzing shock transmission between international food energy and financial markets and to provide some insights into the volatility behavior during the past years and discuss its implications for portfolio management to do this we present a new time varying parameter var tvp var model with stochastic volatility approach which provides extreme flexibility with a parsimonious specification we resort also to a generalized vector autoregressive framework in which forecast error variance decompositions are invariant to the variable ordering for the assessment of total and directional volatility spillovers our main findings suggest that volatility spillovers increase considerably during crisis and namely after mid 2008 when stock markets become net transmitter of volatility shocks while crude oil becomes a net receiver shocks to crude oil or msci markets have immediate and short term impacts on food markets which are emphasized during the financial crisis period moreover we show that augmenting a diversified portfolio of food commodities with crude oil or stocks significantly increases its risk adjusted performance

speculation and corn prices it is commonly asserted that speculative trading activities are largely behind the high and volatile food commodity price behaviour since 2006 in this article we revisit this hypothesis by invest

changing crude oil price effects on us agricultural employment the effect of changes in the price of crude oil on agricultural employment in the usa between 1947 and 1995 is investigated after reviewing previous assessments of the issue the existence of an empirical relationship between agricultural employment and crude oil price changes is established using granger causality subsequently the nature of the relationship is estimated with the results suggesting that at least three full years are required before the measurable effects of a percentage change in the real price of crude oil on the change in agricultural employment are exhausted finally the structural stability of the functional relationship between the change in agricultural employment and changes in the price of crude oil the percentage changes in expected net farm income realized technological innovation and the wage rate is studied

risk appetite and oil prices abstract we demonstrate that oil prices and their volatility are no longer determined solely by real economic shocks to supply of and demand for oil but are also driven by shocks originating in the economic uncertainty and risk appetite of investors that prevail in the equity market the contribution of the latter factor has become particularly remarkable since the mid 2000s to establish these results we dismantle the squared vix index determined in the s p 500 options market into the conditional variance in stock returns to proxy for economic uncertainty and the equity variance risk premium to proxy for risk appetite using threshold garch structural vector auto regression and causality models we provide evidence about the link between risk appetite oil price returns and volatility furthermore investors appetite for risk drives changes in the ovx which measures perceptions about future oil volatility but not vice versa our results provide a better understanding of the relationship between oil the vix and its two proposed components in particular we show that changes in the risk appetite of investors are an important determinant not only for the price of equities but also for that of the most important energy resource oil

oil prices speculation and fundamentals interpreting causal relations among spot and futures prices abstract a consensus that the world oil market is unified begs the question where do innovations in oil prices enter the market here we investigate where changes in the price of crude oil originate and how they spread by examining causal relationships among prices for crude oils from north america europe africa and the middle east on both spot and futures markets results indicate that innovations first appear in spot prices for dubai fateh and spread to other spot and futures prices while other innovations first appear in the far month contract for west texas intermediate and spread to other exchanges and contracts links between spot and futures markets are relatively weak and this may have allowed the long run relationship between spot and future prices to change after september 2004 together these results suggest that market fundamentals initiated a long term increase in oil prices that was exacerbated by speculators who recognized an increase in the probability that oil prices would rise over time

cattle as a consistently resilient agricultural commodity this study compares a range of agricultural commodities over periods of varying economic circumstances these commodities are examined over three categories including returns risk and contributi

a multifactor stochastic volatility model of commodity prices we propose a novel representation of commodity spot prices in which the cost of carry and the spot price volatility are both driven by an arbitrary number of risk factors nesting many existing specifications the model exhibits unspanned stochastic volatility provides simple closed form expressions of commodity futures and yields analytic formulas of european options on futures we estimate the model using oil futures and options data and find that the pricing of traded contracts is accurate for a wide range of maturities and strike prices the results suggest that at least three risk factors in the spot price volatility are needed to accurately fit the volatility surface of options on oil futures highlighting the importance of using general multifactor models in pricing commodity contingent claims

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

the economic effects of energy price shocks large fluctuations in energy prices have been a distinguishing characteristic of the u s economy since the 1970s turmoil in the middle east rising energy prices in the u s and evidence of global warming recently have reignited interest in the link between energy prices and economic performance this paper addresses a number of the key issues in this debate what are energy price shocks and where do they come from how responsive is energy demand to changes in energy prices how do consumers expenditure patterns evolve in response to energy price shocks how do energy price shocks affect u s real output inflation and stock prices why do energy price increases seem to cause recessions but energy price decreases do not seem to cause expansions why has there been a surge in the price of oil in recent years why has this new energy price shock not caused a recession so far have the effects of energy price shocks waned since the 1980s and if so why as the paper demonstrates it is critical to account for the endogeneity of energy prices and to differentiate between the effects of demand and supply shocks in energy markets when answering these questions

time frequency dynamics of return spillover from crude oil to agricultural commodities we explore return spillover from crude oil to ethanol corn soybean and wheat on daily data during 17 may 2005 27 june 2018 this study is unique in capturing the time frequency dynamics of return

a new approach to measure speculation in the oil futures market and some policy implications abstract we propose using a new relative measure the speculative ratio defined as trading volume divided by open interest to gauge speculative activity in the oil futures market we apply the speculative ratio to examine the relation between basis and speculative activity in the oil futures market before and after the financialization of the oil market in 2003 our finding suggests that the oil futures market is dominated by uninformed speculators in the post financialization period our finding carries several practical policy implications as follows 1 both the commodity exchange and the regulator should design regulations and trading policies that improve basis risk 2 on the commodity exchange side new policies on margin requirements and position limits for speculators should be implemented 3 margin requirements should be based on the level of basis risk 4 regulators should speed up implementation of the position limit rule in the dodd frank act and 5 stronger and more meaningful enforcement actions by regulators are required to punish and deter market manipulators

a new class of discrete time stochastic volatility model with correlated errors abstractreturns of risky assets and their time dependent volatility are often jointly modelled by stochastic volatility models svms over the last few decades several svms have been proposed to adequately capture the features of the relationship between the return and its volatility the earliest svm considers a hierarchical model with current return as a function of the current latent volatility which is further modelled as an auto regressive process in an attempt to make svm more appropriate for complex realistic market behaviour leverage parameter was introduced which however led to violation of martingale difference property of the risky part of return a necessary mean zero condition that prevents arbitrage opportunities under mild regularity conditions subsequently alternative svms had been developed and are currently in use in this article we propose mean corrections for several generalizations of svm with leverage that capture the complex market behaviour as well as satisfy martingale

a common factor of stochastic volatilities between oil and commodity prices abstractthis article analyses the multivariate stochastic volatilities svs with a common factor influencing volatilities in the prices of crude oil and agricultural commodities used for both biofuel and nonbiofuel purposes modelling the volatility is crucial because the volatility is an important variable for asset allocation risk management and derivative pricing we develop a sv model comprising a latent common volatility factor with two asymptotic regimes with a smooth transition between them in contrast to conventional volatility models svs are generated by the logistic transformation of latent factors which comprise two components the common volatility factor and an idiosyncratic component we present a sv model with a common factor for oil corn and wheat from 8 august 2005 to 10 october 2014 using a markov chain monte carlo method to estimate the svs and extract the common volatility factor we find that the volatilities of oil and grain markets are persistent according to the estimated

the effect of global oil price shocks on china s agricultural commodities abstract this paper studied the effect of global oil price shocks on agricultural commodities in china including strong wheat corn soybean bean pulp cotton and natural rubber we regarded oil price volatility process as a combination of continuous process and jump process we not only separated oil price shocks into positive and negative categories to identify different effects on agricultural commodities in continuous process but also investigated how jump behavior influenced these agricultural commodities we found that the oil price was characterized by volatility clustering and jump behavior at the same time oil price shocks had different effects on agricultural commodities in addition the shocks on most agricultural commodities were asymmetric only natural rubber was under influence of the jump intensity of the oil price in contrast to strong wheat corn soybean bean pulp and cotton

speculation and volatility spillover in the crude oil and agricultural commodity markets a bayesian analysis this paper assesses factors that potentially influence the volatility of crude oil prices and the possible linkage between this volatility and agricultural commodity markets stochastic volatility models are applied to weekly crude oil corn and wheat futures prices from november 1998 to january 2009 model parameters are estimated using bayesian markov chain monte carlo methods speculation scalping and petroleum inventories are found to be important in explaining the volatility of crude oil prices several properties of crude oil price dynamics are established including mean reversion an asymmetry between returns and volatility volatility clustering and infrequent compound jumps we find evidence of volatility spillover among crude oil corn and wheat markets after the fall of 2006 this can be largely explained by tightened interdependence between crude oil and these commodity markets induced by ethanol production

contemporaneous interactions among fuel biofuel and agricultural commodities abstract this study examines the contemporaneous interactions among energy oil and ethanol and agricultural commodities corn soybean and wheat in the united states during the period 1 june 2006 to 22 january 2016 since traditional var analysis is not able to capture the contemporaneous interactions among these commodities we employ a structural var analysis in combination with the identification through heteroskedasticity approach the empirical results indicate that i the contemporaneous interactions are important asymmetric and have implications for impulse response functions ii crude oil has a unidirectional contemporaneous impact on the agricultural commodities and the agricultural commodities corn and soybean mostly used in the biofuel production have a unidirectional contemporaneous impact on ethanol and finally iii these contemporaneous relations depend on the price level of crude oil in that there are stronger effects from crude oil agricultural commodities to agricultural commodities ethanol in high crude oil price states

volatility spillover between oil and agricultural commodity markets abstract this study examines volatility transmission between oil and selected agricultural commodity prices wheat corn soybeans and sugar we apply the newly developed causality in variance test and impulse response functions to daily data from 01 january 1986 to 21 march 2011 in order to identify the impact of the food price crisis the data are divided into two sub periods the pre crisis period 01 january 1986 to 31 december 2005 and the post crisis period 01 january 2006 21 march 2011 the variance causality test shows that while there is no risk transmission between oil and agricultural commodity markets in the pre crisis period oil market volatility spills on the agricultural markets with the exception of sugar in the post crisis period the impulse response analysis also indicates that a shock to oil price volatility is transmitted to agricultural markets only in the post crisis period this paper thereby shows that the dynamics of volatility transmission changes significantly following the food price crisis after the crisis risk transmission emerges as another dimension of the dynamic interrelationships between energy and agricultural markets

commodity futures and market efficiency we propose a comprehensive treatment of the leverage effect i e the relationship between returns and volatility of a specific asset focusing on energy commodities futures namely brent and wti crude oils natural gas and heating oil after estimating the volatility process without assuming any specific form of its behavior we find the volatility to be long term dependent with the hurst exponent on a verge of stationarity and non stationarity to overcome such complication we utilize the detrended cross correlation and the detrending moving average cross correlation coefficients and we find the standard leverage effect for both crude oils and heating oil for natural gas we find the inverse leverage effect additionally we report that the strength of the leverage effects is scale dependent finally we also show that none of the effects between returns and volatility is detected as the long term cross correlated one these findings can be further utilized to enhance forecasting models and mainly in the risk management and portfolio diversification

the effect of global oil price shocks on china s metal markets this paper investigated the impacts of global oil price shocks on the whole metal market and two typical metal markets copper and aluminum we applied the autoregressive conditional jump intensity arji model combining with the generalized conditional heteroscedasticity grach method to describe the volatility process and jump behavior in the global oil market we separated the oil price shocks into positive and negative parts to analyze whether oil price volatility had symmetric impacts on china s metal markets we further used the likelihood ratio test to examine the symmetric effect of oil price shocks in addition we considered the jump behavior in oil prices as an input factor to investigate how china s metal markets are affected when jumps occur in the global oil market in contrast to the existing research paying little attention to this issue our results indicate that crude oil price shocks have significant impacts on china s metal markets and the impacts are symmetric when compared with aluminum copper is more easily affected by oil price shocks

good volatility bad volatility what drives the asymmetric connectedness of australian electricity markets efficient delivery of network services and the electricity infrastructure to meet the long term consumer s interests are the main objectives and the strategies of a national electricity market while the main interests of generators are to maximize their profit through pricing strategies therefore the objective of this study is to explore whether electricity prices across the four australian states display symmetric price volatility connectedness the study is the first attempt in the literature to make use of intraday 5 min australian dispatch electricity prices spanning the period december 8th 1998 to may 5th 2016 to quantify asymmetries in volatility connectedness emerging from good and bad volatility the results provide supportive evidence that the australian electricity markets are connected asymmetrically implying the presence of some degree of market power that is exercised by generators across regional electricity markets

simulated likelihood estimation of diffusions with an application to exchange rate dynamics in incomplete markets abstract we present an econometric method for estimating the parameters of a diffusion model from discretely sampled data the estimator is transparent adaptive and inherits the asymptotic properties of the generally unattainable maximum likelihood estimator we use this method to estimate a new continuous time model of the joint dynamics of interest rates in two countries and the exchange rate between the two currencies the model allows financial markets to be incomplete and specifies the degree of incompleteness as a stochastic process our empirical results offer several new insights into the dynamics of exchange rates

a tale of two tails explaining extreme events in financialized agricultural markets the substantial booms and busts in agricultural prices marked by extreme events across commodities lead to heated debates about the effects of speculative trading on commodity price fluctuations this study proposes a new approach to understanding extreme events and boom bust processes in agricultural markets using weekly futures data for twelve indexed agricultural commodities during 2006 to 2016 we find that extreme price changes located in the 10 tails of the distribution cluster across agricultural markets we then implement a multinomial logit model to investigate which factors are associated with the propagation of extreme events specifically we disentangle three transmission conduits 1 the macroeconomic conduit captures the possibility that the synchronized extreme price events are generated by business cycle driven demand shifts mainly in emerging economies 2 the financial conduit refers to potential links between extreme returns and the increasing flow of money from financial participants into agricultural futures markets 3 finally the energy conduit accounts for possible spillover effects due to oil price shocks our results indicate an important role of managed money positions and oil prices while the real demand channel remains mostly insignificant

dynamic spillovers among major energy and cereal commodity prices abstract over the past decade the sharp increases in the prices of oil and agricultural commodities have raised serious concerns about the heightened volatility of these markets and the possible negative interactions between them this article deals with the dynamic return and volatility spillovers across international energy and cereal commodity markets it also examines the impacts of three types of opec news announcements on the volatility spillovers and persistence in these markets for this purpose we make use of the var bekk garch and var dcc garch models for the daily spot prices of eight major commodities including wti oil europe brent oil gasoline heating oil barley corn sorghum and wheat our results provide evidence of significant linkages between these energy and cereal markets moreover the opec news announcements are found to exert influence on the oil markets as well as on the oil cereal relationships finally we show that the persistence of volatility decreases increases for the crude oil and heating oil gasoline returns after accounting for the opec announcements in these multivariate garch models however the results are more mixed for the cereal markets overall our results can be used to improve the risk adjusted performance by having more diversified portfolios and also serve to hedge the oil risk more effectively