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

beyond stochastic volatility and jumps in returns and volatility while a great deal of attention has been focused on stochastic volatility in stock returns there is strong evidence suggesting that return distributions have time varying skewness and kurtosis as well under the risk neutral measure for example this can be observed from variation across time in the shape of black scholes implied volatility smiles this article investigates model characteristics that are consistent with variation in the shape of return distributions using a stochastic volatility model with a regime switching feature to allow for random changes in the parameters governing volatility of volatility leverage effect and jump intensity the analysis consists of two steps first the models are estimated using only information from observed returns and option implied volatility standard model assessment tools indicate a strong preference in favor of the proposed models since the information from option implied skewness and kurtosis is not used in fitting the models it is available for dia

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

a time varying copula approach to oil and stock market dependence the case of transition economies abstract we employ the time varying copula approach to investigate the conditional dependence between the brent crude oil price and stock markets in the central and eastern european cee transition economies our results show evidence of a positive dependence between the oil and the stock markets of the six cee countries which is indicative of a contagion between those markets regardless of the changes in the oil price or the cee stock index moreover the dependence patterns in both the center and left tails of the return distributions change over time particularly during the heart of the financial crisis and are best described by the survival gumbel copulas the empirical evidence also suggests that the lower tail dependence is much stronger than that of the upper tail highlighting the importance of contagion during severe contractionary business cycles among the sample markets poland is shown to be particularly sensitive in this regard while hungary and slovenia are the least sensitive

delays and equilibria with large and small information in social learning abstract the general model of social learning with irreversible investment and endogenous timing is analyzed for any distribution of private informations strategic complementarities and multiple equilibria appear which are generated solely by information externalities different equilibria generate strikingly different amounts of information the impacts of various assumptions bounded beliefs large number of agents discrete time and short periods are examined carefully the properties are robust to the introduction of observation noise with a continuum of agents

measuring contagion between energy market and stock market during financial crisis a copula approach abstract in this paper we apply time varying copulas to investigate whether a contagion effect existed between energy and stock markets during the recent financial crisis using the wti oil spot price the s p500 index the shanghai stock market composite index and the shenzhen stock market component index returns evidence was found for a significantly increasing dependence between crude oil and stock markets after the failure of lehman brothers thus supporting the existence of contagion in the sense of forbes and rigobon s 2002 definition moreover increased tail dependence and symmetry characterize all the paired markets this indicates that significant increases in tail dependence are an actual dimension of the contagion phenomenon and that crude oil and stock prices are linked to the same degree regardless of whether markets are booming or crashing during the sample period finally the contagion effect is found to be much weaker for china than the us the empirical results have potentially important implications for risk management

nonlinear mean reversion in the short term interest rate using a new bayesian method for the analysis of diffusion processes this article finds that the nonlinear drift in interest rates found in a number of previous studies can be confirmed only under prior distributions that are best described as informative the assumption of stationarity which is common in the literature represents a nontrivial prior belief about the shape of the drift function this belief and the use of flat priors contribute strongly to the finding of nonlinear mean reversion implementation of an approximate jeffreys prior results in virtually no evidence for mean reversion in interest rates unless stationarity is assumed finally the article documents that nonlinear drift is primarily a feature of daily rather than monthly data and that these data contain a transitory element that is not reflected in the volatility of longermaturity yields the drift of the short term interest rate is an important determinant of a wide variety of asset prices both inside and outside the boundaries of what is often called fixed income while volatilities may be estimated relatively accurately using high frequency observations of the short rate the short rate s extreme persistence makes identifying the true shape of the drift function a particularly elusive goal if our goal is merely to fit prices then the difficulty in estimating a drift function can be avoided by backing out implied drifts using a no arbitrage approach such as hull and white 1990 or heath jarrow and morton 1992 these methods bypass the true distribution entirely focusing on solving for the risk neutral drift function that is consistent with the cross section of bond prices if our goal however is to learn from prices and to be able to assess theories such as the expectations hypothesis that link short and long rates then estimating the drift function under the true measure is unavoidable in several recent articles a variety of sophisticated econometric techniques have been brought to bear on the problem in particular

magnitude and persistence of extreme risk spillovers in the global energy market a high dimensional left tail interdependence perspective abstract this paper studies the magnitude and persistence of extreme risk spillovers among stock returns of 124 energy companies worldwide between january 2006 and june 2019 as well as the corresponding firm specific determinants of firms extreme risk spillovers the high dimensional nonparametric method the coefficient of tail interdependence cti enables us to make better use of available information and to evaluate risk spillovers more precisely moreover we use spatial panel models that consider spatial heterogeneity among firms to explore the determinants of the risk spillovers the empirical findings from a study of energy firms risk spillover effects verify the necessity of persistence measurement also the most systemically risky energy companies are not necessarily the largest and some small firms can also generate large risk spillovers when they are in distress which indicates that determinants other than firm size could also affect the spillover effect such as business complexity and geographic location our regression results suggest that the extreme risk spillover of the energy companies exhibits significant heterogeneity in terms of business and region which deserves more attention for energy risk management the estimates can be used for making portfolio decisions and designing regulatory policies

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

arms races and negotiations two players simultaneously decide whether or not to acquire new weapons in an arms race game each player s type determines his propensity to arm types are private information and are independently drawn from a continuous distribution with probability close to one the best outcome for each player is for neither to acquire new weapons although each prefers to acquire new weapons if he thinks the opponent will there is a small probability that a player is a dominant strategy type who always prefers to acquire new weapons we find conditions under which the unique bayesian nash equilibrium involves an arms race with probability one however if the probability that a player is a dominant strategy type is sufficiently small then there is an equilibrium of the cheap talk extension of the game where the probability of an arms race is close to zero copyright 2004 wiley blackwell

investment dynamics with common and private values abstract we study a dynamic investment game with two dimensional signals where each firm observes its continuously distributed idiosyncratic cost of investment and a discrete signal correlated with common investment returns we demonstrate that the one step property holds and provide an equilibrium existence characterization result reversals are possible where a large number of firms investing in a given round becomes bad news about investment returns welfare is compared to static and rigid timing benchmarks and computed for large economies

modeling systemic risk and dependence structure between oil and stock markets using a variational mode decomposition based copula method abstract this study combines the variational mode decomposition vmd method and static and time varying symmetric and asymmetric copula functions to examine the dependence structure between crude oil prices and major regional developed stock markets s p500 stoxx600 djpi and tsx indexes during bear normal and bull markets under different investment horizons furthermore it analyzes the upside and downside short and long run risk spillovers between oil and stock markets by quantifying three market risk measures namely the value at risk var conditional var covar and the delta covar covar the results show that there is a tail dependence between oil and all stock markets for the raw return series by considering time horizons we show that there is an average dependence between the considered markets for the short run horizons however the tail dependence is also found for the long run horizons between the oil and stock markets with the exception of the s p500 index which exhibits average dependence with the oil market moreover we find strong evidence of up and down risk asymmetric spillovers from oil to stock markets and vice versa in the short and long run horizons finally the market risk spillovers are asymmetric over the time and investment horizons

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

extreme risk spillovers between crude oil and stock markets abstract this paper investigates the spillovers of extreme risks between crude oil and stock markets using daily data of the s p 500 stock index and west texas intermediate wti crude oil futures returns based on the method of granger causality in risk value at risk var is employed to measure market risk and a class of kernel based tests is used to detect negative and positive risk spillover effects empirical results reveal that there are significant risk spillovers between the two markets extreme movements past or current in one market may have a significant predictive power for those in the other market prior to the recent financial crisis there are positive risk spillovers from stock market to crude oil market and negative spillovers from crude oil market to stock market after the financial crisis bidirectional positive risk spillovers are strengthened markedly the risk spillovers may occur instantaneously and or with a long time delay both positive and negative risk spillover effects exhibit asymmetric correlations

on entry exit and coordination with mixed strategies abstract a dynamic entry and exit game is studied where following dixit and shapiro 1986 the economics of strategic planning lexington books pp 63 79 firms play symmetric mixed strategies coordination among entrants improves and creates a tendency for the value of incumbency to increase as the number of incumbent firms increases up to the point of excess capacity this feature implies that when considering mixed strategies the relevant payoffs are not monotonic as the probability of entry increases expected profit for a given firm conditional on entry increases over some initial range it is shown that the payoffs have an interesting dynamic structure which allows the complete characterization of the equilibrium

wti crude oil futures in portfolio diversification the time to maturity effect the aim of the paper is to analyze the diversification effect brought by crude oil futures contracts the most liquid commodity futures into a portfolio of stocks the studies that have documented the very low and essentially negative correlations between commodities and equities typically rely on normally distributed returns which is not the case for crude oil futures and stocks indexes moreover the particular time to maturity chosen for the future contract used as an investment vehicle is an important matter that needs to be addressed in presence of forward curves switching between backwardation and contango shapes our goal in this paper is twofold a we introduce copula functions to have a better representation of the dependence structure of oil futures with equity indexes b using this copula representation we are able to analyze in a precise manner the maturity effect in the choice of crude oil future contract with respect to its diversification benefits our finding is that in the case of distant maturities futures e g 18 months the negative correlation effect is more pronounced whether stock prices increase or decrease this property has the merit to avoid the hurdles of a frequent roll over while being quite desirable in the current trendless equity markets empirical evidence is exhibited on a database comprising the nymex wti crude oil futures and s p 500 index over a 15 year time period

unique equilibrium in a model of self fulfilling currency attacks even though self fulfilling currency attacks lead to multiple equilibria when fundamentals are common knowledge we demonstrate the uniqueness of equilibrium when speculators face a small amount of noise in their signals about the fundamentals this unique equilibrium depends not only on the fundamentals but also on financial variables such as the quantity of hot money in circulation and the costs of speculative trading in contrast to multiple equilibrium models our model allows analysis of policy proposals directed at curtailing currency attacks

jump and volatility risk premiums implied by vix abstract an estimation method is developed for extracting the latent stochastic volatility from vix a volatility index for the sp 2 the jump and volatility risks are priced 3 the popular square root stochastic volatility process is a poor model specification irrespective of allowing for price jumps or not our simulation study shows that statistical inference is reliable and not materially affected by the approximation used in the vix index construction

behavioral biases in endogenous timing herding games an experimental study abstract we experimentally study behavior in an endogenous timing herding game we find that subjects respond to their type and to observed investment activity in a sensible way but there are also substantial departures from nash equilibrium some departures can be viewed as mere noise in decision making while other departures represent systematic biases reflecting subjects failure to appreciate subtle aspects of the game

global economic activity and crude oil prices a cointegration analysis abstract this paper empirically investigates the cointegrating relationship between crude oil prices and global economic activity the kilian economic index is used as an indicator of global economic activity based on a supply demand framework and the cointegration theory we find that real futures prices of crude oil are cointegrated with the kilian economic index and a trade weighted us dollar index and crude oil prices are influenced significantly by fluctuations in the kilian economic index through both long run equilibrium conditions and short run impacts we also develop an empirically stable data coherent and single equation error correction model ecm which has sensible economic properties empirical results based on the ecm show that the adjustment implied by a permanent change in the kilian economic index is a relatively drawn out process

short term interest rates as subordinated diffusions in this article we cbaracterize and estimate the process for short term interest rates using federal funds interest rate data we presume that we are observing a discrete time sample of a stationary scalar diffusion we concentrate on a class of models in whicb the local volatility elasticity is constant and the drift has aflexible specufication to accommodate missing observations and to break the link between economic time and calendar time we model the sampling scheme as an increasing process that is not directly observed we propose and implement two new methods for estimation we find evidence for a volatility elasticity between one and onehalf and two when interest rates are high local mean reversion is smaul and the mechanism for inducing stationarity is the increased volatility of the diffusion process

decentralization duplication and delay we argue that although decentralization has advantages in finding low cost solutions these advantages are accompanied by coordination problems which lead to delay or duplication of effort or both consequently decentralization is desirable when there is little urgency or a great deal of private information but it is strictly undesirable in urgent problems when private information is less important we also examine the effect of large numbers and find that coordination problems disappear in the limit if distributions are common knowledge

oil and stock market volatility a multivariate stochastic volatility perspective abstract this paper models the volatility of stock and oil futures markets using the multivariate stochastic volatility structure in an attempt to extract information intertwined in both markets for risk prediction it offers four major findings first the stock and oil futures prices are inter related their correlation follows a time varying dynamic process and tends to increase when the markets are more volatile second conditioned on the past information the volatility in each market is very persistent i e it varies in a predictable manner third there is inter market dependence in volatility innovations that hit either market can affect the volatility in the other market in other words conditioned on the persistence and the past volatility in their respective markets the past volatility of the stock oil futures market also has predictive power over the future volatility of the oil futures stock market finally the model produces more accurate value at risk estimates than other benchmarks commonly used in the financial industry

the risk premia embedded in index options we study the dynamic relation between aggregate stock market risks and risk premia via an exploration of the time series of equity index option surfaces the analysis is based on estimating a general parametric asset pricing model for the risk neutral equity market dynamics using a panel of options on the s p 500 index while remaining fully nonparametric about the actual evolution of market risks we nd that the risk neutral jump intensity which controls the pricing of left tail risk cannot be spanned by the market volatility and its components so an additional factor is required to account for its dynamics this tail factor has no incremental predictive power for future equity return volatility or jumps beyond what is captured by the current and past level of volatility in contrast the novel factor is critical in predicting the future market excess returns over horizons up to one year and it explains a large fraction of the future variance risk premium we contrast our ndings with those implied by structural asset pricing models that seek to rationalize the predictive power of option data relative to those studies our ndings suggest a wider wedge between the dynamics of equity market risks and the corresponding risk premia with the latter typically displaying a far more persistent reaction following market crises

inference on self exciting jumps in prices and volatility using high frequency measures summary dynamic jumps in the price and volatility of an asset are modelled using a joint hawkes process in conjunction with a bivariate jump diffusion a state space representation is used to link observed returns plus nonparametric measures of integrated volatility and price jumps to the specified model components with bayesian inference conducted using a markov chain monte carlo algorithm an evaluation of marginal likelihoods for the proposed model relative to a large number of alternative models including some that have featured in the literature is provided an extensive empirical investigation is undertaken using data on the s p 500 market index over the 1996 2014 period with substantial support for dynamic jump intensities including in terms of predictive accuracy documented copyright 2016 john wiley sons ltd

volatility dynamics for the s p 500 further evidence from non affine multi factor jump diffusions we apply markov chain monte carlo methods to time series data on s p 500 index returns and to its option prices via a term structure of vix indices to estimate 18 different affine and non affine stochastic volatility models with one or two variance factors and where jumps are allowed in both the price and the instantaneous volatility the in sample fit to the vix term structure shows that the second stochastic long term volatility factor is required to fit the vix term structure out of sample tests on the fit to individual option prices as well as in sample tests show that the inclusion of jumps is less important than allowing for non affine dynamics the estimation and testing periods together cover more than 21 years of daily data

risk spillover of international crude oil to china s firms evidence from granger causality across quantile abstract this paper investigates the extreme risk spillover of international crude oil to stock returns for 529 firms listed on the a share market of the shanghai stock exchange we apply a kernel based nonparametric method to test quantile on quantile granger causality from crude oil to firm returns from the perspective of firm level analysis the findings are outlined as follows first our empirical results provide strong evidence to suggest the asymmetry in the linkage of extreme movements from crude oil to firm returns that is the case of positive risk spillovers are more severe than the case of negative risk spillovers in particular the down to down risk spillover is the most serious case this phenomenon unravels the strong driving force of economic cycles second risk transmission from oil price shocks to firm returns depends on the firm s industry features in addition to the usual focus on inter industry difference we also note the within industry heterogeneity third we confirm that china s refined oil pricing reform of march 27 2013 has had intensifying effects on the negative spillovers from oil prices to firms for investors we emphasize not only the awareness of the predictive power between extreme risks from international crude oil to china s firms but also the existence of heterogeneity in these predictive abilities across firms

relationships between oil price shocks and stock market an empirical analysis from china this paper investigates the interactive relationships between oil price shocks and chinese stock market using multivariate vector auto regression oil price shocks do not show statistically significant impact on the real stock returns of most chinese stock market indices except for manufacturing index and some oil companies some important oil price shocks depress oil company stock prices increase in oil volatility may increase the speculations in mining index and petrochemicals index which raise their stock returns both the world oil price shocks and china oil price shocks can explain much more than interest rates for manufacturing index

optimal filtering of jump diffusions extracting latent states from asset prices this paper provides an optimal filtering methodology in discretely observed continuoustime jump diffusion models although the filtering problem has received little attention it is useful for estimating latent states forecasting volatility and returns computing model diagnostics such as likelihood ratios and parameter estimation our approach combines time discretization schemes with monte carlo methods it is quite general applying in nonlinear and multivariate jump diffusion models and models with nonanalytic observation equations we provide a detailed analysis of the filter s performance and analyze four applications disentangling jumps from stochastic volatility forecasting volatility comparing models via likelihood ratios and filtering using option prices and returns jel c11 c13 c15 c51 c52 g11 g12 g17 this paper develops a filtering approach for learning about unobserved shocks and states from discretely observed prices generated by continuous time jumpdiffusion models the optimal filtering problem which has received little attention is the natural companion to the parameter estimation problem as filters allow researchers to analyze and use their models for practical applications 1 despite its usefulness there is currently no general method for solving the filtering problem in continuous time models

to grab for the market or to bide one s time a dynamic model of entry we consider a simultaneous move dynamic entry game the fixed cost of entry is private information entering earlier increases the likelihood of being the monopolist but also increases the likelihood of coordination failure and simultaneous entry we consider general continuous distributions for the fixed cost and we characterize the unique symmetric sequential equilibrium in pure strategies comparative statics results are derived as the time between rounds approaches zero all of the action occurs during an arbitrarily small amount of time for the bertrand model we extend the analysis to allow for n firms

u s stock returns and oil prices the tale from daily data and the 2008 2009 financial crisis abstract using daily data from january 1999 to december 2011 we examine u s stock returns s p 500 dow jones nasdaq and russell 2000 based on a wide range of information including equity vix volatility inflation expectations interest rates gold prices and the usd euro exchange rate the focus is on oil price returns which have been previously found to exert mostly negative effects on u s stock returns identifying the crisis of 2008 2009 as a significant period of economic contraction and subsequent recovery we check the stability of the stock oil relationship by garch and mgarch dcc models prior to the financial crisis stock returns are slightly negatively affected by oil prices and by the usd euro for the subsample of mid 2009 onwards however stock returns are positively affected by oil prices and a weaker usd euro as with inflation expectations we interpret these findings as u s stocks responding positively to expectations of recovery worldwide our proposed explanation is due to the changing correlation between stock markets and oil either by standard garch models or by mgarch dcc models allowing the implied correlation to vary over time

how to effectively estimate the time varying risk spillover between crude oil and stock markets evidence from the expectile perspective abstract with the integration and financialization of world economy massive hot money has frequently flowed between crude oil and stock markets and has brought significant extreme risks and their spillover for this reason this paper develops the arch expectile model with embedded conditional autoregressive structure namely car arche model and expectile based var evar approach and investigates the time varying risk spillover between wti futures market and us uk japanese and global stock markets respectively the results indicate that for one thing the evar approach based on car arche model is more adequate than the conventional quantile based var qvar approach based on ged garch for wti and stock markets which is due to the evident advantages of expectile compared to quantile for another the unidirectional downside risk spillover effects from wti to the four stock markets and vice versa are only remarkable during major events and present variations with jumps but the bidirectional downside risk spillover effects between them are significant for each time point during the in sample period which indicate that the simultaneous risk spillover between wti and stock markets are fairly pronounced

oil prices and real estate investment trusts reits gradual shift causality and volatility transmission analysis abstract according to literature oil price shocks and volatility can have sector specific impacts in the market while these studies include most asset groups the dynamic relationship between the oil market and real estate investment trusts reits has not been tested this study examines the role of oil price shocks and volatility on six reit categories residential hotel healthcare retail mortgage and warehouse industrial reits for the january 2005 december 2013 period in addition a new causality approach is proposed by augmenting the toda yamamoto method with a fourier approximation this approach is capable of capturing gradual or smooth shifts and does not require a prior knowledge regarding the number dates and form of structural breaks the so called fourier toda yamamoto causality mean spillover test finds uni directional causality running from oil prices to all reits except for the mortgage reits in the latter case the causality is reversed in addition the relatively new and simple causality in variance test shows that there is bi directional volatility transmission between the oil market and all reits our results have important implications for reit managers and investors

the effects of crude oil shocks on stock market shifts behaviour a regime switching approach abstract in this paper we develop a two regime markov switching egarch model introduced by henry henry o 2009 regime switching in the relationship between equity returns and short term interest rates journal of banking and finance 33 405 414 to examine the relationship between crude oil shocks and stock markets an application to stock markets of uk france and japan over the sample period january 1989 to december 2007 illustrates plausible results we detect two episodes of series behaviour one relative to low mean high variance regime and the other to high mean low variance regime furthermore there is evidence that common recessions coincide with the low mean high variance regime in addition we allow both real stock returns and probability of transitions from one regime to another to depend on the net oil price increase variable the findings show that rises in oil price has a significant role in determining both the volatility of stock returns and the probability of transition across regimes

u s stock market crash risk 1926 2010 abstract this paper examines how well alternate time changed levy processes capture stochastic volatility and the substantial outliers observed in u s stock market returns over the past 85 years the autocorrelation of daily stock market returns varies substantially over time necessitating an additional state variable when analyzing historical data i estimate various one and two factor stochastic volatility levy models with time varying autocorrelation via extensions of the bates 2006 methodology that provide filtered daily estimates of volatility and autocorrelation the paper explores option pricing implications including for the volatility index vix during the recent financial crisis

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

investment cycles strategic delay and self reversing cascades we study investment cycles and information flows in a model of social learning in which investment returns fluctuate according to a markov process in our waiting game agents observe the investment history and a private signal correlated with the current period s investment return agents then decide whether to invest in round 1 or to delay their decision to round 2 of the current period cascades in which everyone invests and no one invests eventually correct themselves as compared to the no waiting game with no opportunity for delay the waiting game has shorter investment cascades longer recessions and shorter booms the waiting game also has more underinvestment and less overinvestment

oil price shocks and chinese banking performance do country risks matter abstract this paper contributes to the existing literature by investigating the impacts of oil prices on bank performance through a broad array of camel capital adequacy asset quality management earnings and liquidity indicators in china over the period 2000 2014 to gain further insights into this issue we also discuss whether the correlations change with different dimensions of country risk i e economic financial and political which extant studies ignored the results reveal that oil prices have a significant impact on banking performance as their increase triggers a reduction in banking performance in terms of capitalization management efficiency earning power and liquidity however these adverse effects are mitigated by country stability especially economic stability and political stability these results are important for policy makers who should be cautious when formulating a strategy for macroeconomic stability from the managerial perspective bank managers should consider establishing early warning and response mechanisms on the back of oil price shocks in order to operate under better performance

bad news can be good news early dropouts in an english auction with multi dimensional signals abstract in an english auction with multi dimensional signals a reversal may arise an earlier dropout may be better news to the seller than a later dropout and the expected revenue can be decreasing over some range of clock prices

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

equity index variance evidence from flexible parametric jump diffusion models this paper analyzes a wide range of flexible drift and diffusion specifications of stochastic volatility jump diffusion models for daily s p 500 index returns we find that model performance is driven almost exclusively by the specification of the diffusion component whereas the drift specifications is of second order importance further the variance dynamics of non affine models resemble popular non parametric high frequency estimates of variance and their outperformance is mainly accumulated during turbulent market regimes finally we show that jump diffusion models yield more reliable estimates for the expected return of variance swap contracts

local discouragement and global collapse a theory of coordination avalanches abstract we study a dynamic game in which all players initially possess the same information and coordinate on a high level of activity eventually players with a long string of bad experiences become inactive this prospect can cause a coordination avalanche in which all activity in the population stops coordination avalanches are part of pareto efficient equilibria they can occur at any point in the game their occurrence does not depend on the true state of nature and allowing players to exchange information may merely hasten their onset we present applications to search markets organizational meltdown and inefficient computer upgrades jel d83

option prices implied price processes and stochastic volatility this paper characterizes all continuous price processes that are consistent with current option prices this extends derman and kani 1994 dupire 1994 1997 and rubinstein 1994 who only consider processes with deterministic volatility our characterization implies a volatility forecast that does not require a specific model only current option prices we show how arbitrary volatility processes can be adjusted to fit current option prices exactly just as interest rate processes can be adjusted to fit bond prices exactly the procedure works with many volatility models is fast to calibrate and can price exotic options efficiently using familiar lattice techniques

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

asymmetric and extreme influence of energy price changes on renewable energy stock performance abstract promoting the development of renewable energy has become the key factor to solve the problems of energy and climate change issues however its development is largely constrained by the prices of traditional fossil energy this paper explores the influence of various fossil energy price changes on renewable energy stock returns using a network approach specifically a positive and negative returns network and value at risk var network are constructed separately for identifying the asymmetric and extreme information spillover our findings show the fossil energy renewable energy network system has a relatively high level of interdependence the electricity market behaves as the major contributor to the changes of renewable energy returns in the returns connectedness network while oil and coal contribute most to the changes of renewable energy returns in the var connectedness network the dynamic results show that the contributions of fossil energy price changes to renewable energy returns have strong time varying pattern with high volatility over time the total connectedness in the positive returns network is slightly stronger than that in the negative returns network for most of the time during our sample period

this is what happened to the oil price macroeconomy relationship abstract many of the quarterly oil price increases observed since 1985 are corrections to even bigger oil price decreases the previous quarter when one looks at the net increase in oil prices over the year recent data are consistent with the historical correlation between oil shocks and recessions

hindsight foresight and insight an experimental study of a small market investment game with common and private values we experimentally test an endogenous timing investment model in which sub jects privately observe their cost of investing and a signal correlated with the common investment return subjects overinvest relative to nash we separately consider whether subjects draw inferences in hindsight and use foresight to delay profitable investment and learn from market activity in contrast to nash cursed equilibrium and level k predictions behavior hardly changes across our experimental treatments maximum likelihood estimates are inconsistent with belief based theories we offer an explanation in terms ofboundedly ratio nal rules of thumb based on insights about the game which provides a better fit than quantal response equilibrium jel c72 d82 d83 gil

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

delay and information aggregation in stopping games with private information abstract we consider equilibrium timing decisions in a model with a large number of players and informational externalities the players have private information about a common payoff parameter that determines the optimal time to invest they learn from each other in real time by observing past investment decisions we develop new methods of analysis for such large games and we give a full characterization of symmetric equilibria we show that the equilibrium statistical inferences are based on an exponential learning model although the beliefs converge to truth learning takes place too late ex ante welfare is strictly between that without observational learning and that with full information

the effect of endogenous timing on coordination under asymmetric information an experimental study abstract this paper investigates the role of endogenous timing of decisions on coordination under asymmetric information in the equilibrium of a global coordination game where players choose the timing of their decision a player who has sufficiently high beliefs about the state of the economy undertakes an investment without delay this decision potentially triggers an investment by the other player whose beliefs would have led to inaction otherwise endogenous timing has two distinct effects on coordination a learning effect early decisions reveal information and a complementarity effect early decisions eliminate strategic uncertainty for late movers the experiments that we conduct to test these theoretical results show that the learning effect of timing has more impact on the subjects behavior than the complementarity effect we also observe that subjects welfare improves significantly under endogenous timing

estimation of value at risk for energy commodities via fat tailed garch models the choice of an appropriate distribution for return innovations is important in var applications owing to its ability to directly affect the estimation quality of the required quantiles this study investigates the influence of fat tailed innovation process on the performance of one day ahead var estimates using three garch models garch n garch t and garch ht daily spot prices of five energy commodities wti crude oil brent crude oil heating oil 2 propane and new york harbor conventional gasoline regular are used to compare the accuracy and efficiency of the var models empirical results suggest that for asset returns that exhibit leptokurtic and fat tailed features the var estimates generated by the garch ht models have good accuracy at both low and high confidence levels additionally mrsb indicates that the garch ht model is more efficient than alternatives for most cases at high confidence levels these findings suggest that the heavy tailed distribution is more suitable for energy commodities particularly var calculation

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

oil price movements and stock markets revisited a case of sector stock price indexes in the g 7 countries abstract applying sector stock prices and oil prices in 1991 01 2009 05 from the g7 countries we find oil price shocks do not significantly impact the composite index in each country however stock price changes in germany the uk and the us were found to lead oil price changes as for the interaction between oil price changes and sector stock price changes we find short run negative causal relationships 4 of 7 sector index returns were impacted by oil price changes in germany 2 in the us and 1 in france in particular stock returns of information technology and consumer staples sectors were found to be impacted most by oil price shocks followed by financial utilities and transportation sectors in terms of causality from sector stock price changes to oil price changes we find stock price changes lead oil price changes in 8 of 9 sectors in germany most in the g7 countries followed by the uk italy france canada and the us no such a causal relationship however is found for japan with respect to specific sectors stock price changes in consumer staples and materials sectors were impacted most significantly by oil price changes followed by transportation financial energy health care industrials utilities information technology and telecommunication sectors with the exception of consumer discretionary sector in addition short term stock price changes are found to lead positively oil price changes

oil shocks and stock volatility new evidence via a bayesian graph based var approach abstractthis article examines the temporal dependence between three oil shocks and realized volatility in the stock markets of g20 countries between 1994 and 2019 by applying a novel graphical b

business as usual market crashes and wisdom after the fact the authors present a three stage model of market dynamics in the first stage routine behavior tends to keep information of common interest trapped in private hands in the second stage private information reaches a threshold that triggers some agents to alter their behavior these actions release information to the market the final stage involves the market s response to this news as other participants react to the initial departure from routine behavior the authors present an application to industry investment they also outline applications to the international debt crisis to bank runs and to political upheavals copyright 1994 by american economic association

information revelation through bunching abstract in this paper we analyze a dynamic game of pure information externality each player receives a private signal and chooses whether and when to invest bunching occurs when a subgroup of the players make decisions contingent on their signals while the rest of the players wait regardless of their signals we focus on asymmetric pure strategy equilibria where players private information is revealed gradually through bunching when players become patient enough the most efficient equilibrium contains no herding of investing while the least efficient equilibrium resembles the outcomes in an exogenous timing model when players discount factors differ less patient players will bunch earlier than more patient players

crude oil shocks and stock markets a panel threshold cointegration approach abstract this paper proposes a panel threshold cointegration approach to investigate the relationship between crude oil shocks and stock markets for the oecd and non oecd panel from january 1995 to december 2009 nonlinear cointegration is confirmed for the oil stock nexus in the panel because threshold cointegration is found the threshold vector error correction models can be run to investigate the presence of asymmetric dynamic adjustment the granger causality tests demonstrate the existence of bidirectional long run granger causality between crude oil shocks and stock markets for these oecd and non oecd countries however the short run granger causality between them is bidirectional under positive changes in the deviation and unidirectional under negative ones moreover the speed of adjustment toward equilibrium is faster under negative changes in the deviation than that under positive ones in these oecd and non oecd countries

information revelation and strategic delay in a model of investment we model investment as an n player game with a pure informational externality each player s payoff depends only on his own action and the state of nature however because a player s action reveals his private information players wait to see what other players will do equilibrium is inefficient because delay is costly and information is imperfectly revealed we characterize the unique symmetric perfect bayesian equilibrium and study the robustness of delay which turns out to be sensitive to the reaction speed and the number of players we establish the following results i when the period length is very short the game ends very quickly and there is a form of herding or informational cascade which results in a collapse of investment ii as the period length increases the possibility of herding disappears iii as the number of players increases the rate of investment and the information flow are eventually independent of the number of players adding more players simply increases the number who delay iv in the limit the time profile of investment is extreme a period of low investment followed either by an investment surge or a collapse

preemption and rent equalization in the adoption of new technology we study the adoption of a new technology to illustrate the effects of preemption in games of timing we show that the threat of preemption equalizes rents in a duopoly but that this result does not extend to the general oligopoly game if the gain to preemption is sufficiently small then the optimal symmetric outcome which involves late adoption is an equilibrium this contrasts with reinganum s result that in precommitment equilibria there must be diffusion we develop a new and richer formalism for modeling games of timing which permits a continuoustime representation of the limit of discrete time mixed strategy equilibria

price and volatility co jumps abstract the nature of the dependence between discontinuities in prices and contemporaneous discontinuities in volatility co jumps has been reported by many as being elusive in terms of sign magnitude and statistical significance using a novel identification strategy in continuous time relying on trade level information for spot variance estimation as well as infinitesimal cross moments we document that a sizeable proportion of discontinuous changes in prices are associated with strongly anti correlated contemporaneous discontinuous changes in volatility assuming a possibly nonmonotonic pricing kernel we illustrate the equilibrium implications of price and volatility co jumps for return and variance risk premia

do high frequency stock market data help forecast crude oil prices evidence from the midas models abstract extensive studies have used stock market information to forecast crude oil prices and stock market can more easily derive high frequency data than crude oil market due to no revisions which raises a question that whether high frequency stock market data can improve the forecast performance of crude oil prices therefore this paper employs the midas model and the high frequency data of four stock market indices to forecast wti and brent crude oil prices at lower frequency the results indicate that the high frequency stock market indices have certain advantage over the lower frequency data in forecasting monthly crude oil prices and the midas model using high frequency data proves superior to the ordinary model

the coordination problem and equilibrium theories of recessions in this paper the authors build on the recent literature on coordination problems to construct a model in which there is potential for low output equilibrium the authors show that the conditions that guarantee interior walrasian equilibria in conjunction with a continuity restriction on strategies rule out equilibria with extremely low levels of activity zero activity which is a distinguishing feature of many existing models they study the case of separability and show that there is no rationing and hence no equilibrium unemployment in addition in a numerical example the authors find that there is a unique symmetric equilibrium copyright 1992 by american economic association

rationalizability learning and equilibrium in games with strategic complementarities we study a rich class of noncooperative games that includes models of oligopoly competition macroeconomic coordination failures arms races bank runs technology adoption and diffusion r d competition pretrial bargaining coordination in teams and many others for all these games the sets of pure strategy nash equilibria correlated equilibria and rationalizable strategies have identical bounds also for a class of models of dynamic adaptive choice behavior that encompasses both best response dynamics and bayesian learning the players choices lie eventually within the same bounds these bounds are shown to vary monotonically with certain exogenous parameters we study the class of noncooperative supermodular games introduced by topkis 1979 and further analyzed by vives 1985 1989 who also pointed out the importance of these games in industrial economics supermodular games are games in which each player s strategy set is partially ordered the marginal returns to increasing one s strategy rise with increases in the competitors strategies so that the game exhibits strategic complementarity 2 and if a player s strategies are multidimensional marginal returns to any one com ponent of the player s strategy rise with increases in the other components this class turns out to encompass many of the most important economic applications of noncooperative game theory in macroeconomics diamond s 1982 search model and bryant s 1983 1984 rational expectations models can be represented as supermodular games in each of these models more activity by some members of the economy raises the returns to increased levels of activity by others in oligopoly theory some models of bertrand oligopoly with differentiated products qualify as supermodu lar games in these games when a firm s competitors raise their prices the marginal profitability of the firm s own price increase rises a similar structure is present in games of new technology adoption such as those of dybvig and spatt 1983 farrell and saloner 1986 and katz and shapiro 1986 when more users hook into a communication system or more manufacturers adopt an interface standard the marginal return to others of doing the same often rises similarly in some specifications of the bank runs model introduced by diamond and dybvig 1983 when more depositors withdraw their funds from a bank it is more worthwhile for other depositors to do the same in the warrant exercise

volatility spillovers between crude oil and chinese sectoral equity markets evidence from a frequency dynamics perspective abstract we examine the frequency dynamics of volatility spillovers between crude oil and china s stock markets in a spectral representation framework of generalized forecast error variance decomposition using sectoral stock indices data we find evidence of total volatility spillover driven mainly by short term spillovers the net spillovers of the oil market are almost all positive and dominated by short ter m components although the spillover during china s 2015 financial crisis is negative and attributable to long term components in addition there exists heterogeneity in net pairwise frequency spillovers between the oil and sectoral stock markets moreover structural breaks in volatilities appear to be a significant feature of volatility spillovers finally frequency spillovers in our system can predict future stock market volatility these results have economic implications for investors and policymakers

co movements and spillovers of oil and renewable firms under extreme conditions new evidence from negative wti prices during covid 19 we test for the existence of volatility spillovers and co movements among energy focused corporations during the outbreak of the covid 19 pandemic inclusive of the april 2020 events where west texas intermediate wti oil future prices became negative employing the spillover index approach of diebold and yilmaz 2012 as well as developing a dcc figarch conditional correlation framework and using estimated spillover indices built on a generalised vector autoregressive framework in which forecast error variance decompositions are invariant to the variable ordering we examine the sectoral transmission mechanisms of volatility shocks and contagion throughout the energy sector among several results we find positive and economically meaningful spillovers from falling oil prices to both renewable energy and coal markets however this result is only found for the narrow portion of our sample surrounding the negative wti event we interpret our results being directly attributed to a sharp drop in global oil gas and coal demand rather than because of a sudden increase in oil supply while investors observed the us fracking industry losing market share to coal they also viewed renewables as more reliable mechanism to generate long term stable and low cost supply

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

oil prices and stock market in china a sector analysis using panel cointegration with multiple breaks this paper investigates the relationship between oil prices and the chinese stock market at the sector level in a panel cointegration and granger causality framework the major sectors in china are studied using data collected from july 2001 to december 2010 when the effects of cross sectional dependence and multiple structural breaks are taken into account the panel cointegration relationship between oil prices and stock prices is confirmed at the disaggregated sector level the results indicate that there is some evidence of structural breaks in the interaction between oil prices and chinese sectoral stocks the long run estimates suggest that the real oil price has a positive effect on sectoral stocks in the long run the granger causality tests demonstrate a unidirectional short run granger causality relationship running from oil prices and sectoral stocks to the interest rate for 2001 07 2005 10 there is also a unidirectional long run granger causality running from sectoral stocks to the interest rate for 2001 07 2005 10 and 2005 12 2007 06 however the long run granger causality is bidirectional between oil prices the interest rate and sectoral stocks for 2007 08 2008 11 and 2009 01 2010 12 meanwhile the short run granger causality is also bidirectional between the interest rate and oil prices

impact of oil price change on airline s stock price and volatility evidence from china and south korea abstract generally the influence of crude oil price on the industries enterprises varies because they have different levels of reliance on crude oil for airlines the expenditure on fuel accounts for a considerable proportion of their gross costs thus airlines are unusually sensitive to changes in the crude oil price the discussion on the relationship between crude oil price and airlines will help the airlines improve their ability to cope with the crude oil price risk in addition the responses of south korean and chinese airlines in the event of a price shock that take are also very important as the airplane is a basic form of transportation in many countries this study investigates the impact of three crude oil price wti brent dubai change on the stock price and volatility of four airlines korean air asiana airlines air china and china eastern airlines using var garch bekk model the main findings are as follows there is return and volatility spillover effect between crude oil price and the stock prices of airlines the volatility spillover effect between the crude oil price and airlines stock price is more significant than the return spillover effect compared with the transportation industry the stock prices of smaller airlines of south korea and china are relatively more sensitive to the change in oil price in addition compared with korea s airlines china s airlines are influenced more by the oil price change implying that spillover effects owing to oil price are closely related to the different characteristics of the air transport markets of the two countries

asymmetric effects of geopolitical risks on energy returns and volatility under different market conditions abstract based on daily data from 28 june 1990 to 31 october 2018 we investigate the asymmetric effects of geopolitical risks on energy crude oil gas and heating oil returns and volatility under different market conditions by using a quantile regression model the results show that geopolitical risks have significantly negative effects on crude oil returns in the bearish market and on heating oil returns in the normal and bullish markets but have no effects on gas returns meanwhile the impacts of geopolitical risks on crude oil volatility are significantly positive in different market conditions and the impacts on gas and heating oil volatility are mainly negative but not significant in addition we further divide geopolitical risks into geopolitical threats and geopolitical acts and find that geopolitical threats and acts have heterogeneous effects on energy returns and volatility