Return and volatility transmission between China's and international crude oil futures markets: A first look

We examine return and volatility transmission between the newly established crude oil futures in China and international major crude oil futures markets using intraday data. For the first time, we document evidence for cointegration relationships among these oil futures markets. Both China's and Oman's oil futures markets react to deviations from their long-run equilibrium with West Texas Intermediate and Brent oil futures. There is also new evidence for asymmetric volatilities and correlations across these oil futures markets. Furthermore, the Chinese oil futures have stronger linkages with the international major futures markets than Oman futures.     

Realized volatility and correlation in energy futures markets

Using high‐frequency returns, realized volatility and correlation of the NYMEX light, sweet crude oil, and Henry‐Hub natural gas futures contracts are examined. The unconditional distributions of daily returns and daily realized variances are non‐Gaussian, whereas the distributions of the standardized returns (normalized by the realized standard deviation) and the (logarithms of) realized standard deviations appear approximately Gaussian. The (logarithms of) standard deviations exhibit long‐memory, but the realized correlation between the two futures does not, implying rather weak inter‐market linkage in the long run. There is evidence of asymmetric volatility for natural gas but not for crude oil futures. Finally, realized crude oil futures volatility responds with an increase in the weeks immediately before the OPEC events recommending price increases. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:993–1011, 2008     

Volatility spillover effects and cross hedging in corn and crude oil futures

Using a volatility spillover model, we find evidence of significant spillovers from crude oil prices to corn cash and futures prices, and that these spillover effects are time‐varying. Results reveal that corn markets have become much more connected to crude oil markets after the introduction of the Energy Policy Act of 2005. Furthermore, when the ethanol–gasoline consumption ratio exceeds a critical level, crude oil prices transmit positive volatility spillovers into corn prices and movements in corn prices are more energy‐driven. Based on this strong volatility link between crude oil and corn prices, a new cross‐hedging strategy for managing corn price risk using oil futures is examined and its performance is studied. Results show that this cross‐hedging strategy provides only slightly better hedging performance compared with traditional hedging in corn futures markets alone. The implication is that hedging corn price risk in corn futures markets alone can still provide relatively satisfactory performance in the biofuel era. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark     

Stock index futures trading and volatility in international equity markets

This article examines stock market volatility before and after the introduction of equity‐index futures trading in twenty‐five countries, using various models that account for asynchronous data, conditional heteroskedasticity, asymmetric volatility responses, and the joint dynamics of each country's index with the world‐market portfolio. We found that futures trading is related to an increase in conditional volatility in the United States and Japan, but in nearly every other country, we found either no significant effect or a volatility‐dampening effect. This result appears to be robust to model specification and is corroborated by further analysis of the relationship between volatility, trading volume, and open interest in stock futures. An increase in conditional covariance between country‐specific and world returns at the time of futures listing is also documented. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20:661–685, 2000     

Stochastic multifactor models in risk management of energy futures

We adopt Schwartz and Smith's model to calculate risk measures of Brent oil and light sweet crude oil (WTI) futures contracts and Mirantes, Poblacion, and Serna's model to calculate risk measures of natural gas, gasoil, heating oil, RBOB gasoline, PJM Western Hub peak, and off-peak electricity futures contracts. The models generate well in-sample goodness of fit and satisfactory out-of-sample Value-at-Risk and expected shortfall forecasts for all the eight of the analyzed commodities. A simple and flexible estimation method improving upon existing estimation methods is developed.     

Returns and volatility in the Kuala Lumpur crude

This article investigates the determinants of daily returns and volatility in the Kuala Lumpur crude palm oil futures market over the period 1980 to 1994. We find significant evidence of month and open interest effects in returns and also find strong evidence of daily, monthly, yearly, volume and open interest effects in volatility when ARCH/ GARCH models are used to estimate volatility. © 1998 John Wiley & Sons, Inc. Jrl Fut Mark 18:985–999, 1998     

Testing mean reversion in financial market volatility: Evidence from S&P 500 index futures

This article presents a comprehensive study of continuous time GARCH (generalized autoregressive conditional heteroskedastic) modeling with the thintailed normal and the fat‐tailed Student's‐t and generalized error distributions (GED). The study measures the degree of mean reversion in financial market volatility based on the relationship between discrete‐time GARCH and continuoustime diffusion models. The convergence results based on the aforementioned distribution functions are shown to have similar implications for testing mean reversion in stochastic volatility. Alternative models are compared in terms of their ability to capture mean‐reverting behavior of futures market volatility. The empirical evidence obtained from the S&P 500 index futures indicates that the conditional variance, log‐variance, and standard deviation of futures returns are pulled back to some long‐run average level over time. The study also compares the performance of alternative GARCH models with normal, Student's‐ t, and GED density in terms of their power to predict one‐day‐ahead realized volatility of index futures returns and provides some implications for pricing futures options. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:1–33, 2008     

Oil Price Volatility,the Global Financial Crisis,and the Day-of-the-Week Effect

In this study the author investigated the day-of-the-week effect in the UK Brent crude oil market using the GARCH (1, 5) and GJR-GARCH (1, 5) models. The backdrop of the study is the Asian and global financial crises of 1997 and 2008, respectively. Daily data were used over the period of January 2, 1997, to May 27, 2009. Results show the presence of the day-of-the-week effect in both return and volatility in the oil market. More specifically, there are significant positive Thursday and Friday effects in return and significant Thursday effects in volatility.     

The Effect of Sport Sponsorship Programs of Various Sport Events on Stock Price Behavior During a Sport Event

This paper examines sporting event's spillover effect to investor's behavior through event study analysis using the GARCH (p,q) model, focusing on the stock price effects of a sport sponsorship program during and after a sporting event. Studying stock price behavior during a sporting event is attempted for the first time in the marketing and sponsorship literature. First, we provide some summary points from the review of 40 research works and interpretive claims, based on a conceptual and theoretical framework. Second, we consider daily stock returns of 28 listed companies that have sponsored 15 major sports events during the period 2000–2009, in order to examine the effect of major sporting events on sponsors’ stock returns and volatility. The three research hypotheses are supported. Research results show that stock returns and volatility changed significantly during and after the sporting event compared to pre-event period. Results show that stock price effects caused by sports events’ sponsorship programs are firm-specific, as well as sporting event-specific. The findings of this study are of high value for promotion managers as it allows them to become more critically aware of the practical wisdom of sporting events.     

Market inefficiencies surrounding energy announcements

We use sequential energy inventory announcements to shed new light on the informational efficiency of financial markets. Our findings provide clear evidence of inefficiency in crude oil futures and stock markets. This inefficiency can be exploited by sophisticated traders. We examine the effect of market liquidity on the efficient incorporation of information in this setting. We also construct a predictor that can predict inventory surprises and preannouncement returns in-sample and out-of-sample. Finally, we develop a combination forecast that can be used as a proxy for market expectations of oil inventory announcements.     

The lead–lag relationship between equities and stock index futures markets around information releases

This paper documents a strengthening in the lead of stock index futures returns over stock index returns around macroeconomic information releases. Some evidence of a strengthening in feedback from the equities market to the futures market and weakening in the lead of the futures market around major stock‐specific information releases is also provided. This is consistent with the hypothesis that investors with better marketwide information prefer to trade in stock index futures while investors with stock‐specific information prefer to trade in underlying stocks. A small weakening in the contemporaneous relationship between stock index futures returns and stock index returns around both types of releases is also documented. This is consistent with disintegration in the relationship between the two markets associated with noise induced volatility. One by‐product of this study is new comparative evidence on the performance of adjustments for infrequent trading of index stocks based on a commonly used ARMA technique versus recalculation of the stock index using quote midpoints. The results suggest that the quote midpoint index performs at least as well as the ARMA adjusted index across the entire sample period, as well as around the different types of information releases. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20:467–487, 2000     

Dominant markets,staggered openings,and price discovery

This study examines information incorporation and price discovery in closely related markets that witness staggered openings. A theoretical model is presented. In this framework, one market, termed dominant, is the venue where most of the price discovery occurs, and the other is termed secondary. The model predicts heightened volatility and order flow in each market when it opens first compared with when it opens second. The effects are predicted to be more pronounced in the dominant market, and is linked to the process of information incorporation. Tests conducted using futures on crude oil (dominant) and gasoline (secondary), two related markets that witness staggered openings, reveal findings consistent with the model's predictions. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark     

The stock closing calland futures price behavior: Evidence from the Taiwan futures market

This study examines the behavior of futures prices around stock market close before and after changes to the batching period of the stock closing call. On July 1, 2002, the Taiwan Stock Exchange expanded the length of the batching period roughly 10‐fold, from an average of 30 seconds to 5 minutes. This change presents an opportunity to analyze how a stock closing method affects the behavior of index futures prices. Empirical results indicate that an increase in the length of the batching period affects the return volatility and trading volume of index futures contracts around stock market close. Furthermore, preclose stock returns have a great impact on extended futures returns when the batching period of the stock closing call is long. © 2007 Wiley Periodicals, Inc. Jrl Fut Mark 27:1003–1019, 2007     

Information and Noise in U.K. Futures Markets

This paper examines the extent to which futures price changes are driven by noise and information for three U.K. futures contracts by utilizing T. Andersen's (1996) specification of the mixture of distributions hypothesis. Use of the generalized method of moments approach demonstrates that the link between futures volume and volatility can be attributed to the flow of information. More importantly, it is shown that price movements are dominated by informed rather than noise trading for the FTSE‐100, the Long Gilt, and the Brent Oil futures contracts. The results suggest that further regulation based on the notion that noise traders dominate futures trading is unwarranted. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:711–731, 2004     

The Introduction of Derivatives on the Dow Jones Industrial Average and Their Impact on the Volatility of Component Stocks

This article examines the impact of trading in the Dow Jones Industrial Average (DJIA) index futures and futures options on the conditional volatility of component stocks. It investigates the contention that the introduction of futures and futures options on the DJIA could increase volatility in the 30 stocks comprising the DJIA. The conditional volatility of intraday returns for each stock before and after the introduction of derivatives is estimated with the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model. Estimated parameters of conditional volatility in prefutures and postfutures periods are then compared to determine if the estimated parameters have changed significantly after the introduction of the various derivatives. The results suggest that the introduction of index futures and futures options on the DJIA has produced no structural changes in the conditional volatility of component stocks. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 633–653, 2001     

Market quality and the connectedness of steel rebar and other industrial metal futures in China

We examine the market quality of China's steel rebar futures, along with three other important industrial metal futures. Steel rebar futures are the most active metal futures contracts in China. Our analyses show that while steel rebar and copper futures are comparable in terms of informational efficiency, they are more informationally efficient than iron ore and aluminum futures, with low bid–ask spread, volatility persistence, pricing error variance, and probability of informed trading. We find a bidirectional connection between iron ore and steel rebar futures. Furthermore, we show that these metal futures are weakly related to the Chinese stock market.     

Naming Products in China: Local or Foreign Branding

ABSTRACT

This study examines the effect of program trades on the price changes in the Korean stock index futures and spot markets employing intraday return and trading data. Program trades in the Korean stock market create an instant imbalance in market liquidity. However, their impact is very short-lived and limited in an economic sense. Moreover, there is little tendency for market returns to over-react to program trades. An increase in program trades results in higher spot market volatility but does not cause monotonically increasing futures market volatility. Overall, program trades do not destabilize the stock market in Korea despite some positive association between program trades and volatility.     

Assessing the Impact of Crude Oil Price and Investor Sentiment on Islamic Indices: Subprime Crisis

This article attempts to shed light on the impact of oil prices, investor sentiment, and conventional index on 11 Islamic indices, particularly during the subprime financial crisis and the oil crisis. Empirical evidence suggests that the Malaysian and Indonesian Islamic indices are very much affected by the oil volatility. Estimation results of the BEKK-GARCH model reveal that the pessimistic sentiment during the subprime crisis is transmitted to Islamic indices, suggesting the herding contagion. The authors' finding indicates that investors can use VIX investor sentiment as an indicator to predict Islamic returns volatility. In addition, the authors find that the oil shock has spilled into Islamic indices. The time-varying correlation indicates strong evidence of the contagion effect of crude oil and investor sentiment measure to Islamic indices during the oil shock and U.S. financial crisis period of 2008–2009.     

Optimal futures hedging for energy commodities: An application of the GAS model

This paper applies generalized autoregressive score-driven (GAS) models to futures hedging of crude oil and natural gas. For both commodities, the GAS framework captures the marginal distributions of spot and futures returns and corresponding dynamic copula correlations. We compare within-sample and out-of-sample hedging effectiveness of GAS models against constant ordinary least square (OLS) strategy and time-varying copula-based GARCH models in terms of volatility reduction and Value at Risk reduction. We show that the constant OLS hedge ratio is not inherently inferior to the time-varying alternatives. Nonetheless, GAS models tend to exhibit better hedging effectiveness than other strategies, particularly for natural gas.     

Hedging and value at risk: A semi‐parametric approach

The non‐normality of financial asset returns has important implications for hedging. In particular, in contrast with the unambiguous effect that minimum‐variance hedging has on the standard deviation, it can actually increase the negative skewness and kurtosis of hedge portfolio returns. Thus, the reduction in Value at Risk (VaR) and Conditional Value at Risk (CVaR) that minimum‐variance hedging generates can be significantly lower than the reduction in standard deviation. In this study, we provide a new, semi‐parametric method of estimating minimum‐VaR and minimum‐CVaR hedge ratios based on the Cornish‐Fisher expansion of the quantile of the hedged portfolio return distribution. Using spot and futures returns for the FTSE 100, FTSE 250, and FTSE Small Cap equity indices, the Euro/US Dollar exchange rate, and Brent crude oil, we find that the semiparametric approach is superior to the standard minimum‐variance approach, and to the nonparametric approach of Harris and Shen (2006). In particular, it provides a greater reduction in both negative skewness and excess kurtosis, and consequently generates hedge portfolios that in most cases have lower VaR and CVaR. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:780–794, 2010