Volatility and trading demands in stock index futures

In this study we examine how volatility and the futures risk premium affect trading demands for hedging and speculation in the S&P 500 Stock Index futures contracts. To ascertain if different volatility measures matter in affecting the result, we employ three volatility estimates. Our empirical results show a positive relation between volatility and open interest for both hedgers and speculators, suggesting that an increase in volatility motivates both hedgers and speculators to engage in more trading in futures markets. However, the influence of volatility on futures trading, especially for hedging, is statistically significant only when spot volatility is used. We also find that the demand to trade by speculators is more sensitive to changes in the futures risk premium than is the demand to trade by hedgers. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:399–414, 2003     

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     

Volatility dynamics of NYMEX natural gas futures prices

We examine the volatility dynamics of NYMEX natural gas futures prices via the partially overlapping time‐series model of Smith (2005. Journal of Applied Econometrics, 20, 405–422). We show that volatility exhibits two important features: (1) volatility is greater in the winter than in the summer, and (2) the persistence of price shocks and, hence, the correlations among concurrently traded contracts, displays substantial seasonal and cross‐sectional variation in a way consistent with the theory of storage. We demonstrate that, by ignoring the seasonality in the volatility dynamics of natural gas futures prices, previous studies have suggested sub‐optimal hedging strategies. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:438–463, 2008     

Skewness and index futures return

In this paper, we show that the individual skewness, defined as the average of monthly skewness across firms, performs very well at predicting the return of S&P 500 index futures. This result holds after controlling for the liquidity risk or for the current business cycle conditions. We also find that individual skewness performs very well at predicting index futures returns out-of-sample.     

Determinants of Nikkei futures mispricing in international markets: Dividend clustering,currency risk,and transaction costs

This paper develops a comprehensive modified cost-of-carry model to study the mispricing of Nikkei 225 index futures contracts traded in Osaka, Singapore, and Chicago based on a new 19-year data set. Using this improved model, we find that dividend clustering, currency risk, and transaction costs all play an essential role in the estimation of Nikkei mispricing. An exponential smooth transition autoregressive-GARCH model is used to describe the international dynamics of Nikkei mispricing. The results indicate that generally mean reversion in mispricing and limits to arbitrage are driven more by transaction costs than by heterogeneous investors.     

Order imbalance and the pricing of index futures

This study examines whether the aggregate order imbalance for index stocks can explain the arbitrage spread between index futures and the underlying cash index. The study covers the period of the Asian financial crisis and includes wide variations in order imbalance and the indexfutures basis. The analysis controls for realistic trading costs and actual dividend payments. The results indicate that the arbitrage spread is positively related to the aggregate order imbalance in the underlying index stocks; negative order‐imbalance has a stronger impact than positive order imbalance. Violations of the upper no‐arbitrage bound are related to positive order imbalance; of the lower no‐arbitrage bound to negative order imbalance. Asymmetric response times to negative and positive spreads can be attributed to the difficulty, cost, and risk of short stock arbitrage when the futures are below their no‐arbitrage value. The significant relationship between order imbalance and arbitrage spread confirms that index arbitrageurs are important providers of liquidity in the futures market when the stock market is in disequilibrium. © 2007 Wiley Periodicals, Inc. Jrl Fut Mark 27:697–717, 2007     

Volatility components: The term structure dynamics of VIX futures

In this study we empirically study the variance term structure using volatility index (VIX) futures market. We first derive a new pricing framework for VIX futures, which is convenient to study variance term structure dynamics. We construct five models and use Kalman filter and maximum likelihood method for model estimations and comparisons. We provide evidence that a third factor is statistically significant for variance term structure dynamics. We find that our parameter estimates are robust and helpful to shed light on economic significance of variance factor model. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:230–256, 2010     

An empirical examination of the SIMEX Nikkei 225 futures contract around the Kobé earthquake and the Barings Bank collapse

This study examines the levels and interrelationships of volatility, volume, open interest and effective bid-ask spread on the Nikkei 225 futures contract on SIMEX. The sample chosen is critical; conclusions regarding the effect of the Kobé earthquake of January 1995 and the resulting collapse of Barings Bank in February 1995 can be uncovered. The analysis uses graphs of the levels of the variables and an assessment of the variables using a vector autoregression and impulse response functions. Volume and open interest temporarily increased, whereas the increase in effective bid-ask spread is more permanent. This seems to be due to the sensitivity that each of the variables develops to volatility as a result of these information shocks. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 1–29, 1999