A Further Investigation of the Lead-Lag Relationship in Returns and Volatility Between the Spot Market and Stock Index Futures


Book Description

This paper investigates the lead-lag relationship in daily returns and volatilities between price movements of FTSE/ASE-20 futures and the underlying FTSE/ASE-20 cash index of the Athens Stock Exchange. The results suggest that there is a bidirectional causality between spot and futures returns, rejecting the usual result of futures leading spot market. However, spot market seems to play a more important role in price discovery. Volatility spillovers across the two markets are examined by using a bivariate EGARCH(1,1) model. This model is found to capture all the volatility dynamics. The results indicate that the transmission of volatility is bidirectional. Any piece of information that is released by the cash market has an effect on futures market volatility, and vice versa. Nevertheless, the volatility spillover from spot to futures market is slightly stronger than in the reverse direction.




Stock Index Futures


Book Description

The global value of trading in index futures is about $20 trillion per year and rising and for many countries the value traded is similar to that traded on their stock markets. This book describes how index futures markets work and clearly summarises the substantial body of international empirical evidence relating to these markets. Using the concepts and tools of finance, the book also provides a comprehensive description of the economic forces that underlie trading in index futures. Stock Index Futures 3/e contains many teaching and learning aids including numerous examples, a glossary, essay questions, comprehensive references, and a detailed subject index. Written primarily for advanced undergraduate and postgraduate students, this text will also be useful to researchers and market participants who want to gain a better understanding of these markets.




Trading Mechanisms, Speculative Behavior of Investors, and the Volatility of Prices


Book Description

This paper compares the volatility of spot prices (dealership market) with that of futures prices (auction market) to test the implications of different trading mechanisms for the volatility of prices. First, a natural estimator of the volatility is sued. Using the intraday data of the major Market Index and its futures prices, we show that the volatility of opening prices is higher than that of closing prices not only in the spot market but in the futures market, and that the intraday volatility patterns are U-shaped in both markets. Of particular interest is that futures prices do not appear to be as volatile as spot prices when the natural estimator of volatility is used, to the contrary of the conventional wisdom. We argue that the different volatility patterns during the day are not necessarily due to the different trading mechanisms, auction market versus dealership market. Instead, after developing a simple theoretical model of speculative prices, we show that at least part of the different volatility patterns during the day may be attributable to speculative behavior of investors based on heterogeneous information. In addition, we further investigate the volatilities of spot and futures prices using a temporal estimator of price volatility as an alternative to the natural estimator. Based on the temporal estimator, we cannot find any systematic pattern of volatilities during the day in both spot and futures markets, and that futures prices appear to be more volatile than spot prices in terms of how quickly the price moves beyond a given unit price level, but not in terms of how much the price changes during a given unit time interval. Some policy implications are also discussed.




The Lead-Lag Relation between Spot and Futures Markets Under Different Short-Selling Regimes


Book Description

We examine the lead-lag relation between index futures and the underlying index under three types of short-selling restrictions on stocks in Hong Kong. Our results indicate that lifting short-selling restrictions can enhance the informational efficiency of the stock market relative to the index futures. We also investigate the impact of two market characteristics, market conditions and the magnitude of mispricing on the lead-lag relations under different short-selling regimes. Our findings suggest that if we remove restrictions, the contemporaneous price relation between the futures and cash markets becomes stronger particularly in the falling market and when the cash market is relatively overpriced.










Intraday Lead-Lag Relationship Between Stock Index and Stock Index Futures Markets


Book Description

In perfectly frictionless and rational markets, spot markets and futures markets should simultaneously reflect new information. However, due to market imperfections, one of these markets may reflect information faster than the other and therefore may lead to the other. This study examines the lead-lag relationship between stock index and stock index futures, in terms of both price and volatility, by using 5 minute data over 2007-2010 period. The findings of this study indicate that a stable long-term relationship between Turkish stock index and stock index futures exists, however stock index futures do not lead stock index and there is a two way interaction between them. Therefore either of the markets is dominant over the other one in the price formation process.




A Trading Strategy Based on the Lead-Lag Relationship between the Spot Index and Futures Contract for the Ftse 100


Book Description

This paper examines the lead-lag relationship between the FTSE 100 index and index futures price employing a number of time series models. Using ten-minutely observations from June 1996-1997, it is found that lagged changes in the futures price can help to predict changes in the spot price. The best forecasting model is of the error correction type, allowing for the theoretical difference between spot and futures prices according to the cost of carry relationship. This predictive ability is in turn utilised to derive a trading strategy which is tested under real-world conditions to search for systematic profitable trading opportunities. It is revealed that although the model forecasts produce significantly higher returns than a passive benchmark, the model was unable to outperform the benchmark after allowing for transaction costs.