Lead-Lag Relationship Between Returns and Implied Moments


Book Description

This study investigates whether a lead-lag relationship exists between the returns and the moments of the implied risk-neutral density (RND) in Korea Composite Stock Price Index (KOSPI) 200 spot, futures, and options markets. The empirical analysis suggests that although there is a bi-directional lead-lag relationship between the returns and the implied moments, the skewness and kurtosis of the implied RND Granger-cause the spot and futures returns more strongly than the returns do. In contrast, the implied volatility is shown to Granger-cause the returns less strongly than the returns do. In addition, this study shows that the lead-lag relationship strengthens when the spot market is exceptionally bullish or bearish.







On the Relationship Between the Conditional Mean and Volatility of Stock Returns


Book Description

We model the conditional mean and volatility of stock returns as a latent vector autoregressive (VAR) process to study the contemporaneous and intertemporal relationship between expected returns and risk in a flexible statistical framework and without relying on exogenous predictors. We find a strong and robust negative correlation between the innovations to the conditional moments that leads to pronounced counter-cyclical variation in the Sharpe ratio. We document significant lead-lag correlations between the conditional moments that also appear related to business cycles. Finally, we show that although the conditional correlation between the mean and volatility is negative, the unconditional correlation is positive due to the lead-lag correlations




An Investigation of the Lead-Lag Relationship in Returns and Volatility between Cash and Stack Index Futures


Book Description

This paper investigates the lead-lag relationship in daily returns and volatilities between price movements of stock index futures and the underlying cash index in the FTSE/ASE-20 and FTSE/ASE Mid-40 markets of the Athens Stock Exchange. Empirical results confirm previous findings that there is a large contemporaneous relation, together with asymmetric lead-lag behaviour between the cash and futures markets. There is evidence that the futures lead the cash index returns, by responding more rapidly to economic events than stock prices. This asymmetric lead-lag relation can be attributed to the predictive power of futures returns, supporting the price discovery hypothesis that new market information is disseminated faster in the futures market compared to the stock market. After examining whether daily volatility in futures prices has systematically lead daily volatility in the cash index, the results provide a weak indication that cash volatility spills some information in the futures market volatility in the FTSE/ASE-20 market. In the FTSE/ASE Mid-40 market, the results indicate that there are robust volatility spillovers from the futures to the cash market, which imply that the futures market can be used as a price discovery vehicle.




McMillan on Options


Book Description

Legendary trader Larry McMillan does it-again-offering his personal options strategies for consistently enhancing trading profits Larry McMillan's name is virtually synonymous with options. This "Trader's Hall of Fame" recipient first shared his personal options strategies and techniques in the original McMillan on Options. Now, in a revised and Second Edition, this indispensable guide to the world of options addresses a myriad of new techniques and methods needed for profiting consistently in today's fast-paced investment arena. This thoroughly new Second Edition features updates in almost every chapter as well as enhanced coverage of many new and increasingly popular products. It also offers McMillan's personal philosophy on options, and reveals many of his previously unpublished personal insights. Readers will soon discover why Yale Hirsch of the Stock Trader's Almanac says, "McMillan is an options guru par excellence."




Order Imbalance and Returns


Book Description

The paper explores the lead-lag relationship between the variables of order imbalance and return in futures and spot markets. Order imbalance is defined as the difference between buyer and seller initiated trades. Using tick test, the trades have been classified as buyer and seller initiated. The paper finds positive correlation between the variables of order imbalance in the futures market and the returns in the spot market. This relationship is further explored using a VAR framework for daily as well as a shorter interval of 120 min. The results reveal that even after controlling for lagged futures and spot returns, the futures market imbalance has a significant effect on spot market returns.




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.




Implied Volatility Functions


Book Description

Abstract: Black and Scholes (1973) implied volatilities tend to be systematically related to the option's exercise price and time to expiration. Derman and Kani (1994), Dupire (1994), and Rubinstein (1994) attribute this behavior to the fact that the Black-Scholes constant volatility assumption is violated in practice. These authors hypothesize that the volatility of the underlying asset's return is a deterministic function of the asset price and time and develop the deterministic volatility function (DVF) option valuation model, which has the potential of fitting the observed cross-section of option prices exactly. Using a sample of S & P 500 index options during the period June 1988 through December 1993, we evaluate the economic significance of the implied deterministic volatility function by examining the predictive and hedging performance of the DV option valuation model. We find that its performance is worse than that of an ad hoc Black-Scholes model with variable implied volatilities.




Handbook of Financial Time Series


Book Description

The Handbook of Financial Time Series gives an up-to-date overview of the field and covers all relevant topics both from a statistical and an econometrical point of view. There are many fine contributions, and a preamble by Nobel Prize winner Robert F. Engle.