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     

Price discovery and investor structure in stock index futures

Previous literature on price discovery in stock index futures and spot markets neglects the role of different investor groups. This study relates time‐varying spot‐futures linkages studied within a VECM‐DCC‐GARCH framework to changes in the investor structure of the futures market over time. Empirical results suggest that during the dominance of presumably uninformed private investors, the futures market does not contribute to price discovery. By contrast, there is evidence of information flows from futures to spot markets and a significant increase in conditional correlation between both markets as institutional investors' share in trading volume increases. We derive implications for the design of emerging futures markets. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark31:282–306, 2011     

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     

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     

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     

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 effect of spot and futures trading on stock index market volatility: A nonparametric approach

This article provides empirical evidence on the intraday relation between spot volatility and trading volume in the Spanish stock index futures market. GARCH methodology is used to estimate spot volatility. We analyze the potential relation between spot and futures trading volume and spot volatility by estimating the corresponding conditional density functions as proposed in Quah (1997). Our results reveal no significant link between those variables. Similar findings arise when expected and unexpected volume is considered. Our results suggest that derivative market is not a force behind episodes of significant spot jump volatility. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:841–858, 2003     

The impact of the US stock market opening on price discovery of government bond futures

We examine price discovery in sequential markets for the 10-year US Treasury note, German bund, and UK gilt futures over the period 2010–2017. We find that price discovery increases after the opening of the US stock market. Order flows in the bond futures markets are more informative for permanent price changes in the 30-min period after the US stock market opens. A placebo test using US statutory holidays confirms our findings. A cross-market analysis suggests that the increased price discovery in the bond futures is related to returns and net order flows of the US stock market.     

Does Index Futures Trading Reduce Volatility in the Chinese Stock Market? A Panel Data Evaluation Approach

This study investigates the effect of introducing index futures trading on the spot price volatility in the Chinese stock market. We employ a recently developed panel data policy evaluation approach (Hsiao, Ching, and Wan, 2011) to construct counterfactuals of the spot market volatility, based mainly on cross‐sectional correlations between the Chinese and international stock markets. This new method does not need to specify a particular regression or a time‐series model for the volatility process around the introduction date of index futures trading, and thus avoids the potential omitted variable bias caused by uncontrolled market factors in the existing literature. Our results provide empirical evidence that the introduction of index futures trading significantly reduces the volatility of the Chinese stock market, which is robust to different model selection criteria and various prediction approaches. © 2012 Wiley Periodicals, Inc. Jrl Fut Mark 33:1167–1190, 2013     

Price impact asymmetry of futures trades: Trade direction and trade size

By analyzing the high-quality intraday transaction dataset of KOSPI200 index futures contracts, one of the most actively traded index futures products in the world, this study examines price impact asymmetry between buyer- and seller-initiated trades and the difference in information content across the size of trades. To measure the permanent price impact incurred by each futures trade, which can be translated into the quality of information content of each trade, we use a modified version of the MRR model (Madhavan et al., 1997), which is appropriate for gauging the price impact and information content as well as analyzing the intraday price discovery issues that arise in purely order-driven markets.Consistent with the empirical results of previous studies on market microstructure issues in Korea's index derivatives market (i.e., KOSPI200 index futures and options market), we find that large trades generally incur greater permanent price impacts than small trades. This indicates that large trades generally have greater information content than the smaller ones. However, in contrast to the majority of empirical studies in this area, which have reported that buy trades are more informative than sell trades in global financial markets, we find that the permanent price impact of seller-initiated trades is clearly and substantially larger than that of buyer-initiated trades in the KOSPI200 futures market. This indicates that sell trades are more informed than buy trades in the index futures market, where informed investors can freely submit sell orders without any restrictions. The greater information content of sell trades is also apparent when trades are classified by their size. These results are quite remarkable considering that the sample period of this study (2003–2006) corresponds to a recovery period, during which the underlying stock index price and the futures price continued to increase.     

Information revelation in the futures market: Evidence from single stock futures

This paper analyzes 31 months of data on 137 single‐stock futures (SSFs) traded on OneChicago. The results indicate that on the days they trade, SSFs contribute approximately 24% of the price discovery for underlying stocks. Information revelation in the SSFs market decreases with the ratio of spreads in the futures and the stock markets and the volatility in the stock market. Moreover, the quality of the market for the underlying stocks improves substantially after the introduction of the SSFs market, with the largest improvement occurring on days with SSFs trading. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:335– 353, 2008     

Cash trading and index futures price volatility

This study examines the effect of cash market liquidity on the volatility of stock index futures. Two facets of cash market liquidity are considered: (1) the level of liquidity trading proxied by the expected New York Stock Exchange (NYSE) trading volume and (2) the noise composition of trading proxied by the average NYSE trading commission cost. Under the framework of spline–GARCH with a liquidity component, both the quarterly average commission cost and the quarterly expected NYSE volume are negatively associated with the ex ante daily volatility of S&P 500 and NYSE composite index futures. Conversely, liquidity and noise trading in the cash market both dampen futures price volatility, ceteris paribus. This negative association between secular cash trading liquidity and daily futures price volatility is amplified during times of market crisis. These results retain statistical significance and materiality after controlling for bid–ask bounce of futures prices and volume of traded futures contracts. This study establishes empirical evidence to affirm the conventional prediction of a liquidity–volatility relationship: the liquidity effect is secular and persistent across markets. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:465–486, 2011     

Need for speed: Hard information processing in a high‐frequency world

I study the role of high‐frequency traders (HFTs) and non‐high‐frequency traders (nHFTs) in transmitting hard price information from the futures market to the stock market using an index arbitrage strategy. Using intraday transaction data with HFT identification, I find that HFTs process hard information faster and trade on it more aggressively than nHFTs. In terms of liquidity supply, HFTs are better at avoiding adverse selection than nHFTs. Consequently, HFTs enhance the linkage between the futures and stock markets, and significantly contribute to information efficiency in the stock market by reducing the delay between the stock and the futures markets.     

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     

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     

Does International Order Flow Contribute to Price Discovery in Futures Markets?

This study examines whether order flow originating from overseas contributes to price discovery in domestic futures markets. This issue is examined using a unique dataset for stock index futures traded on the Australian Securities Exchange that identifies the geographic location of computer servers on which orders are placed. We find that (i) transactions originating from overseas servers have a significant impact on the price volatility of stock index futures; (ii) trades initiated from international servers also have a permanent impact on price; and (iii) price movements caused by trades initiated from overseas servers lead those on domestic servers and make a greater contribution to price discovery. Our results confirm that international order flow is important in the price discovery process in domestic markets.     

Trading protocols and price discovery: Implicit transaction costs in Indian single stock futures

We show how trading protocols impede the price discovery process in single stock futures as implicit trade costs outweigh explicit costs. Despite the trade volume dominance, trade costs advantage and leverage efficiency in futures markets, single stock futures account for only 35% of the price discovery vis-á-vis the spot market. Futures market's informational efficiency is adversely affected by market frictions in the form of marketwide position limits, minimum contract values, and margin requirements.     

Regime‐switching in stock index and Treasury futures returns and measures of stock market stress

We investigate bivariate regime‐switching in daily futures‐contract returns for the US stock index and ten‐year Treasury notes over the crisis‐rich 1997–2005 period. We allow the return means, volatilities, and correlation to all vary across regimes. We document a striking contrast between regimes, with a high‐stress regime that exhibits a much higher stock volatility, a much lower stock–bond correlation, and a higher mean bond return. The high‐stress regime is associated with higher average values of stock‐implied volatility, stock illiquidity, and stock and bond futures trading volume. The lagged implied volatility from equity‐index options is useful in modeling the time‐varying transition probabilities of the regime‐switching process. Our findings support the notions that: (1) stock market stress can have a material influence on Treasury bond pricing, and (2) the diversification benefits of combined stock–bond holdings tend to be greater during times with relatively high stock market stress. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 30:753–779, 2010     

Trading costs and price discovery across stock index futures and cash markets

The focus of this article is to test the trading cost hypothesis of price leadership, which predicts that the market with the lowest overall trading costs will react most quickly to new information. In an attempt to hold market microstructure effects constant and in contrast to previous studies, we examine intraday price leadership across the S&P 500, NYSE Composite, and MMI futures, and across the respective cash indexes—rather than between each futures and its associated cash index. We find that, among the futures, the S&P 500 exhibits price leadership over the other index futures, whereas among the cash indexes the MMI leads. Both findings are consistent with the trading cost hypothesis. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 475–498, 1999     

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