A further investigation of the lead–lag relationship between the spot market and stock index futures: Early evidence from Korea

In this article, we investigate possible lead and lag relationship in returns and volatilities between cash and futures markets in Korea. Utilizing intraday data from the newly established futures market in Korea, we find that the futures market leads the cash market by as long as 30 minutes. This result is consistent with previous studies for the U.S. and other countries’ futures markets. With regard to volatility interaction between spot and futures markets, we find that, unlike the above results for returns, a bidirectional causality is more prevalent between cash and futures markets, and this relationship is entirely sample dependent. We also find that the trading volume has significant explanatory power for volatility changes in both spot and futures markets. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 217–232, 1999     

Trading activity in stock index futures markets: The evidence of emerging markets

This study investigates the trading activity of the Taiwan Futures Exchange (TAIFEX) and Singapore Exchange Derivatives Trading Limited (SGX‐DT) Taiwan Stock Index Futures markets by analyzing the intraday patterns of volume and volatility. In addition, the market closure theory, which may explain such patterns, is examined. Overall, the trading pattern appears to be U‐shaped for the TAIFEX futures and U+W‐shaped for the SGX‐DT. For the SGX‐DT futures, volatility follows the same pattern as that of the number of price changes. For the TAIFEX futures, however, after the peak at the close of the spot market, the volatility in the TAIFEX futures drops consistently until the end of the day while volatility in the SGX‐DT still reaches a smaller peak at the close of the futures market. In addition, a visual inspection of the intraday patterns of these two markets shows that the market closure theory can effectively explain the intraday patterns of these two markets. The empirical results support the market closure theory in that liquidity demand from traders rebalancing their portfolios before and after market closures creates larger volume and volatility at both the open and close. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:983–1003, 2002     

Intradaily periodicity and volatility spillovers between international stock index futures markets

This paper examines short‐run information transmission between the U.S. and U.K. markets using the S&P 500 and FTSE 100 index futures. Ultrahighfrequency futures data are employed—which have a number of advantages over the low‐frequency spot data commonly used in previous studies—in establishing that volatility spillovers are in fact bidirectional. The generalized autoregressive conditionally heteroskedastic model (GARCH) is employed to estimate the mean and volatility spillovers of intraday returns. A Fourier flexible function is utilized to filter the intradaily periodic patterns that induce serial correlation in return volatility. It was found that estimates of volatility persistence and speed of information transmission are seriously affected by intradaily periodicity. The bias in parameter estimation is removed by filtering out the intradaily periodic component of the transaction data. Contrary to previous findings, there is evidence of spillovers in volatility between the U.S. and U.K. markets. Results indicate that the volatility of the U.S. market is affected by the most recent volatility surprise in the U.K. market. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:553–585, 2005     

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.     

Intraday price discovery and volatility transmission in stock index and stock index futures markets: Evidence from China

Using high‐frequency data, this study investigates intraday price discovery and volatility transmission between the Chinese stock index and the newly established stock index futures markets in China. Although the Chinese stock index started a sharp decline immediately after the stock index futures were introduced, the cash market is found to play a more dominant role in the price discovery process. The new stock index futures market does not function well in its price discovery performance at its infancy stage, apparently due to high barriers to entry into this emerging futures market. Based on a newly proposed theoretically consistent asymmetric GARCH model, the results uncover strong bidirectional dependence in the intraday volatility of both markets. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark     

Intraday price‐reversal patterns in the currency futures market: The impact of the introduction of GLOBEX and the euro

This article assesses the intraday price‐reversal patterns of seven major currency futures contracts traded on the Chicago Mercantile Exchange over 1988–2003 after 1‐day returns and opening gaps. Significant intraday price‐reversal patterns are observed in five of the seven currency futures contracts, following large price changes. Additional tests are conducted in three subperiods (1988–1992, 1993–1998, and 1999–2003) to examine the impact of the introduction of electronic trading on GLOBEX in 1992 (to assess how a near 24‐hour trading session might impact the next‐day opening and closing futures prices) and the introduction of the euro in 1999 (to assess its impact on price predictability in other futures markets). It is found that the introduction of the GLOBEX in 1992 significantly reduced pricing errors in currency futures in the second subperiod, making the currency futures markets fairly efficient. However, the introduction of the new currency, the euro, and the disappearance of several European currencies in 1999, resulted in significant price patterns (mostly reversals and some persistence) in most of the currency futures, indicating inefficiencies in the third subperiod. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:1089–1130, 2006     

Macroeconomic announcements,intraday covariance structure and asymmetry in the interest rate futures returns

The effects of scheduled macroeconomic announcements on the real-time intraday return volatilities, covariances, and correlations between the Eurodollar futures and the U.S. Treasury bond futures markets are studied. These announcements are responsible for most of the observed intraday jumps in volatilities, covariances, and correlations. The details of the linkage are intriguing and include announcements timing effect. Further study on intraday asymmetric volatility and correlation-in-volatility indicates that news announcements magnify asymmetric volatility and shed light on why correlations tend to be high when volatilities are high. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:815–844, 2008     

Intraday Volatility in Interest‐Rate and Foreign‐Exchange Markets: ARCH,Announcement, and Seasonality Effects

We explore the determinants of intraday volatility in interest‐rate and foreign‐exchange markets, focusing on the importance and interaction of three types of information in predicting intraday volatility: (a) knowledge of recent past volatilities (i.e., ARCH or Autoregressive Conditional Heteroskedasticity effects); (b) prior knowledge of when major scheduled macroeconomic announcements, such as the employment report or Producer Price Index, will be released; and (c) knowledge of seasonality patterns. We find that all three information sets have significant incremental predictive power, but macroeconomic announcements are the most important determinants of periods of very high intraday volatility (particularly in the interest‐rate markets). We show that because the three information sets are not independent, it is necessary to simultaneously consider all three to accurately measure intraday volatility patterns. For instance, we find that most of the previously documented time‐of‐day and day‐of‐the‐week volatility patterns in these markets are due to the tendency for macroeconomic announcements to occur on particular days and at particular times. Indeed, the familiar U‐shape completely disappears in the foreign‐exchange market. We also find that estimates of ARCH effects are considerably altered when we account for announcement effects and return periodicity; specifically, estimates of volatility persistence are sharply reduced. Separately, our results show that high volatility persists longer after shocks due to unscheduled announcements than after equivalent shocks due to scheduled announcements, indicating that market participants digest information much more quickly if they are prepared to receive it. However, contrary to results from equity markets, we find no evidence of a meaningful difference in volatility persistence after positive or negative price shocks. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 517–552, 2001     

Managed futures,positive feedback trading,and futures price volatility

A major issue in recent years is the role that large, managed futures funds and pools play in futures markets. Many market participants argue that managed futures trading increases price volatility due to the size of managed futures trading and reliance on positive feedback trading systems. The purpose of this study is to provide new evidence on the impact of managed futures trading on futures price volatility. A unique data set on managed futures trading is analyzed for the period 1 December 1988 through 31 March 1989. The data set includes the daily trading volume of large commodity pools for 36 different futures markets. Regression results are unequivocal with respect to the impact of commodity pool trading on futures price volatility. For the 72 estimated regressions (two for each market), the coefficient on commodity pool trading volume is significantly different from zero in only four cases. These results constitute strong evidence that, at least for this sample period, commodity pool trading is not associated with increases in futures price volatility. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 759–776, 1999     

Price discovery and volatility spillovers in the DJIA index and futures markets

The Dow Jones Industrial Average (DJIA) is the most widely quoted stock index worldwide. This article examines the minute-by-minute price discovery process and volatility spillovers between the DJIA index and the index futures recently launched by the CBOT. The Hasbrouck (1995) cointegrating model suggests that most of the price discovery takes place at the futures market. However, by examining the volatility spillovers between the markets based on a bivariate EGARCH model, a significant bidirectional information flow is found. That is, innovations in one market can predict the future volatility in another market, but the futures market volatility-spillovers to the stock market more than vice versa. Both markets also exhibit asymmetric volatility effects, with bad news having a greater impact on volatility than good news. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 911–930, 1999     

Index futures leadership,basis behavior,and trader selectivity

Employing intraday data for futures and cash values for the S&P 500 over the 1993–1996 period, we attempt to characterize the lead–lag relationship between these two markets and their basis behavior. Our findings show evidence of pronounced futures leadership when markets are rising, with no feedback from the cash market. However, when markets are falling, futures leadership is less evident and significant feedback from the cash market is noted. We also provide evidence of a positive relationship between the basis and return volatility. We offer an explanation, based on trader selectivity, for the leadership‐asymmetry and the basis–volatility relationship. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:649–677, 2002     

What moves the gold market?

In this article, we provide a detailed characterization of the intraday return volatility in gold futures contracts traded on the COMEX division of the New York Mercantile Exchange. The approach allows the study of intraday patterns, interday ARCH effects, and announcement effects in a coherent framework. We show that the intraday patterns exert a profound impact on the dynamics of return volatility. Among the 23 U.S. macroeconomic announcements, we identify employment reports, gross domestic product, consumer price index, and personal income as having the greatest impact. Finally, by appropriately filtering out the intraday patterns, we find that the high‐frequency returns reveal long‐memory volatility dependencies in the gold market, which have important implications on the pricing of long‐term gold options and the determination of optimal hedge ratios. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:257–278, 2001     

Intraday time-series momentum: Evidence from China

This study conducts an investigation of intraday time-series momentum across four Chinese commodity futures contracts: copper, steel, soybean, and soybean meal. Our results indicate that the first half-hour return positively predicts the last half-hour return across all four futures. Furthermore, in metals markets, we find that first trading sessions with high volume or volatility are associated with the strongest intraday time-series momentum dynamics. Based on this, we propose an intraday momentum informed trading strategy that earns a return in excess of standard always long and buy-and-hold benchmarks.     

A comprehensive examination of the compass rose pattern in futures markets

This article provides a comprehensive examination of the existence, or the lack thereof, of the compass rose pattern in futures markets. The results from 118 futures contracts traded on 31 futures exchanges in 15 countries show that the compass rose pattern exists only in some futures contracts, in contrast to the robust existence among stocks documented by Crack and Ledoit (1996) and Chen (1997). Not all contracts on the same exchange exhibit this pattern. However, the pattern appears to be concentrated in some sectors. Although this evidence suggests that effective tick sizes that are different among contracts may be the determining factor for the existence of the pattern, contradicting evidence also suggests that there are other yet-to-be-identified determinants at work. Furthermore, whereas the pattern is absent in the daily returns of primary stock index futures contracts such as the Major Market Index (MMI), it is very easily observable in the intraday returns of the same futures contract. The elusiveness of the pattern is further demonstrated in the returns on the cash S&P 500 Index, which does not exhibit the pattern until the focus is on returns that are within a 1% boundary. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 541–564, 1999     

Intertemporal volatility and price interactions between Australian and Japanese spot and futures stock index markets

Previous studies have examined causality within and between different spot and futures markets with a motivation to discover market comovements, price leadership effects, and, more recently, volatility spillovers across markets. However, the empirical framework within which this is accomplished tends not to analyze explicitly foreign spillover effects upon a spot–futures relationship, which may significantly alter the equilibrium between these markets. This will then have a direct impact upon the estimation of dynamic risk adjustments that occur from the interaction between these markets. This article develops a quadvariate simultaneous-equation EC-ARCH model with an emphasis on volatility spillovers as a better alternative methodology to evaluate these relationships from a different perspective. This model is applied to examine the interaction between the Australian and Japanese spot and futures stock index markets, which allows for an Australian or Japanese futures trader to analyze the impact of foreign cash and futures markets, as well as the local cash market, on the local futures market in a single coherent framework. This type of analysis is not possible using previous paradigms, because they allow the trader only to examine the impact of local cash and foreign futures markets in separate settings. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 523–540, 1999     

Information Role of U.S. Futures Trading in a Global Financial Market

Using a bivariate, asymmetric generalized autoregressive conditional heteroskedasticity model, we examine the patterns of information flows for three financial futures contracts that are dual‐listed on U.S. and Asian markets (i.e., Nikkei 225 Index, Eurodollar, and dollar–yen currency futures). The results indicate that the U.S. market plays a leading role in terms of pricing‐information transmission across markets. In terms of volatility spillover across markets, however, foreign markets seem to play a similar role (e.g., Nikkei Index futures) or even a more significant role than the United States (e.g., Eurodollar futures in Singapore and dollar–yen currency futures in Japan). © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:1071–1090, 2001     

Market microstructure of FT-SE 100 index futures: An intraday empirical analysis

This article examines the market microstructure of the FT-SE Index futures market by analyzing the intraday patterns of bid-ask spreads and trading activity. The patterns are remarkably different from those of stock and options markets because of the futures market's open outcry system with frenzied scalpers/short-term marketmakers. Spreads are stable over the day, but decline sharply at the close and increase when U.S. macroeconomic news is distributed. Traders actively trade at the open with narrow spreads and large trade sizes. Volatility and volume have higher values at the open and close and when U.S. news is released. The overall results suggest that information asymmetry in the index futures market is insignificant, and traders find it easy to control inventory. The results are also broadly consistent with the Grossman and Miller (1988) model that describes liquidity as the price of transaction demand for immediacy. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 31–58, 1999     

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.     

The components of bid‐ask spread and their determinants: TAIFEX versus SGX‐DT

This paper compares the intraday components of bid‐ask spread in Taiwan stock index futures traded on Taiwan Futures Exchange (TAIFEX) and Singapore Exchange Derivatives Trading Limited (SGX‐DT). Variables that determine the components of spread are also examined. SGX‐DT uses a floor trading system while TAIFEX uses an electronic call system. This study finds that both information asymmetry and order processing cost components exhibit U‐shaped patterns in the two markets, in contrast to previous findings for U.S. equity markets. Moreover, the information asymmetry components are lower in the TAIFEX relative to the SGX‐DT futures, suggesting that the continuous open outcry markets are more vulnerable to information asymmetry than the electronic call markets. The regression results show that volatility and information are the major determinants of the components while number of trades is not the major determinant of the order processing and information asymmetry components for both markets. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:835–860, 2004     

Stock index futures markets: stochastic volatility models and smiles

This study examined whether the inclusion of an appropriate stochastic volatility that captures key distributional and volatility facets of stock index futures is sufficient to explain implied volatility smiles for options on these markets. I considered two variants of stochastic volatility models related to Heston (1993). These models are differentiated by alternative normal or nonnormal processes driving log‐price increments. For four stock index futures markets examined, models including a negatively correlated stochastic volatility process with nonnormal price innovations performed best within the total sample period and for subperiods. Using these optimal stochastic volatility models, I determined the prices of European options. When comparing simulated and actual options prices for these markets, I found substantial differences. This suggests that the inclusion of a stochastic volatility process consistent with the objective process alone is insufficient to explain the existence of smiles. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:43–78, 2001