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     

Do individual index futures investors destabilize the underlying spot market?

This study investigates the impact of introducing index futures trading on the volatility of the underlying stock market. We exploit a unique institutional setting in which presumably uninformed individuals are the dominant trader type in the futures markets. This enables us to investigate the destabilization hypothesis more accurately than previous studies do and to provide evidence for or against the influence of individuals trading in index futures on spot market volatility. To overcome econometric shortcomings of the existing literature we employ a Markov‐switching‐GARCH approach to endogenously identify distinct volatility regimes. Our empirical evidence for Poland suggests that the introduction of index futures trading does not destabilize the spot market. This finding is robust across three stock market indices and is corroborated by further analysis of a control group. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:81–101, 2011     

Time‐varying jump risk premia in stock index futures returns

This study tests the presence of time‐varying risk premia associated with extreme news events or jumps in stock index futures return. The model allows for a dynamic jump component with autoregressive jump intensity, long‐range dependence in volatility dynamics, and a volatility in mean structure separately for the normal and extreme news events. The results show significant jump risk premia in four stock market index futures returns including the DAX, FTSE, Nikkei, and S&P500 indices. Our results are robust to various specifications of conditional variance including the plain GARCH, component GARCH, and Fractionally Integrated GARCH models. We also find the time‐varying risk premium associated with normal news events is not significant across all indices. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 32:639–659, 2012     

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     

Illiquidity transmission from spot to futures markets

We develop a model of illiquidity transmission from spot to futures markets that formalizes the derivative hedge theory of Cho and Engle (1999). The model shows that spot market illiquidity does not translate one to one to the futures market but, rather, interacts with price risk, liquidity risk, and the risk aversion of the market maker. The model's predictions are tested empirically with data from the stock market and markets for single-stock futures and index futures. The results support our model and show that the derivative hedge theory provides an explanation for the liquidity link between spot and futures markets.     

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     

After‐hours trading in equity futures markets

Although it is well known that electronic futures data absorb news (slightly) in advance of spot markets the role of the electronic futures movement in out‐of‐hours trading has not previously been explored. The behavior of the 24‐hour trade in the S&P 500 and NASDAQ 100 futures market reveals the important role of these markets in absorbing news releases occurring outside of normal trading hours. Peaks in volume and volatility in this market occur in conjunction with U.S. 8:30 A.M. EST news releases, before the opening of the open‐outcry markets, and in a less pronounced fashion immediately post‐close the open‐outcry market. Price impact in these markets is statistically higher in the post‐close than in the pre‐open periods. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 29:114–136, 2009     

Real-time price discovery in global stock,bond and foreign exchange markets

Using a unique high-frequency futures dataset, we characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. We find that news produces conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. Equity markets, moreover, react differently to news depending on the stage of the business cycle, which explains the low correlation between stock and bond returns when averaged over the cycle. Hence our results qualify earlier work suggesting that bond markets react most strongly to macroeconomic news; in particular, when conditioning on the state of the economy, the equity and foreign exchange markets appear equally responsive. Finally, we also document important contemporaneous links across all markets and countries, even after controlling for the effects of macroeconomic news.     

Real-time price discovery in global stock, bond and foreign exchange markets

Using a unique high-frequency futures dataset, we characterize the response of U.S., German and British stock, bond and foreign exchange markets to real-time U.S. macroeconomic news. We find that news produces conditional mean jumps; hence high-frequency stock, bond and exchange rate dynamics are linked to fundamentals. Equity markets, moreover, react differently to news depending on the stage of the business cycle, which explains the low correlation between stock and bond returns when averaged over the cycle. Hence our results qualify earlier work suggesting that bond markets react most strongly to macroeconomic news; in particular, when conditioning on the state of the economy, the equity and foreign exchange markets appear equally responsive. Finally, we also document important contemporaneous links across all markets and countries, even after controlling for the effects of macroeconomic news.     

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.     

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     

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     

Oil and stock markets before and after financial crises: A local Gaussian correlation approach

The effect of financial shocks on the cross‐market linkages between oil prices (spot and futures) and stock markets is examined for four major crises. We employ the local Gaussian correlation approach and find that the two markets were regionalized for most of the 1990s and the early 2000s. Flights from stocks to oil occur in all crisis episodes, except the recent global financial crisis. The view that stock and oil markets behave like “a market of one” after the financialization of commodities is further supported by the presence of contagion between US stock markets and all the benchmark oil markets.     

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     

Two‐Factor Decomposition Analysis for Correlation between Mainland China and Hong Kong Stock Markets

We analyzed the correlation between mainland China and Hong Kong stock markets based on cash flow (CF) news and discount rate (DR) news instead of considering market return as a whole. We decomposed stock return into CF news and DR news following Campbell and Vuolteenaho. Then, the VAR‐ BEKK‐GARCH method was used to investigate the time‐varying correlations of CF news and DR news in the two markets. We ensured robustness by using the structural break test from Bai and Perron to estimate the structural break points during the sample period. The results show that CF news and DR news in the mainland China market is more volatile than in the Hong Kong market, and DR news correlation is usually negative when the mainland China market is undergoing some reform. The estimated structural break points were matched to important events in the mainland China market and the two markets become increasingly correlated.     

The role of financial investors in determining the commodity futures risk premium

I develop and test a model to study the interaction between the commodity and stock markets. This study attempts to clarify the debate about the effect of financialization on commodity markets. Theoretically, the futures risk premium is determined by hedging pressure, stock market returns, and the commodity–equity correlation. Empirically, the effect of the stock market on the energy market became significantly greater for the futures risk premium in the period following the 2008 crisis. Furthermore, hedging pressure is a strong explanatory variable for the futures risk premium in various circumstances.     

The cost of carry model and regime shifts in stock index futures markets: An empirical investigation

This article examines empirically the dynamic relationship between spot and futures prices in stock index futures markets employing a class of nonlinear, regime‐switching‐vector‐equilibrium‐correction models, which is novel in this context. Using data for the S&P 500 and the FTSE 100 over the post‐1987 crash period, it is shown that a long‐run relationship between spot and futures prices exists, which implies mean reversion of the basis. After providing strong evidence against the hypothesis of linear dynamics in the relationship under investigation, regime‐switching‐vector‐equilibrium‐correction models for spot and futures price movements are developed and shown to capture well the time‐series properties of our data, consistent with a large theoretical and empirical literature. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20:603–624, 2000.     

Commonality in trading activity and futures‐cash basis: Evidence from the Taiwan futures and stock markets

This study examines commonality in trading activity by various types of institutional investors across futures and stock markets, and the dynamic relationship between the common factors in trading activity and the futures‐cash basis. The empirical results provide evidence of commonality in trading activity by various types of institutional investors across futures and stock markets. Additionally, this study finds that the first principal component of trading activity is most closely related to the futures trading of mutual funds. Moreover, the empirical results indicate that the first principal component of trading activity and mutual funds' futures trading Granger‐cause the futures‐cash basis and vice versa. Finally, the results of the impulse response functions show that the first principal component of trading activity as well as mutual funds' futures trading have a greater impact on the futures‐cash basis than other common factors and other investor types. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 32:964–994, 2012     

股指期货如何影响股市稳定性?——对全球主要市场的三角度实证检验

以全球多个市场作为实证检验对象,从股市波动率变化、系统风险变化以及股市正反馈交易行为影响三个角度,分析股指期货市场稳定作用的含义,即对股市波动的影响及其作用表现,较为全面地解读股指期货的市场稳定作用。研究发现:三个角度都支持股指期货的市场稳定作用;而抑制正反馈交易的作用最为基础、直接和显著,是股指期货市场稳定作用的更为恰当的判断标准。     

Cross‐market correlations and transmission of information

We investigate characteristics of cross‐market correlations using daily data from U.S. stock, bond, money, and currency futures markets using a new multivariate GARCH model that permits direct hypothesis testing on conditional correlations. We find evidence that arrival of information in a market affects subsequent cross‐market conditional correlations in the sample period following the stock market crash of 1987, but there is little evidence of such a relationship in the precrash period. In the postcrash period, we also find evidence that the prime rate of interest affects daily correlations between futures returns. Furthermore, we find that conditional correlations between currency futures and other markets decline steeply a few months before the crash and revert to normal dynamics after the crash. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:1059–1082, 2002