We explore the time series properties of overnight and daytime returns on the London Stock Exchange's primary stock market index, the FTSE-100 on the over the 1984-1991 period. We use a modified GARCH model to specify daytime and overnight return dynamics where (a) intra-day returns can have different impacts and persistence on stock return volatility, (b) return effects on volatility can be asymmetric and (c) intra-day returns can follow conditional distributions with different fourth moments. We uncover important changes in return dynamics and conditional fourth moments following the stock exchange's major restructuring called quot;Big Bangquot;, which merged broker and dealer functions and after the1987 stock market crash.

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This paper investigates empirically how returns and volatilities of stock indices are correlated between Tokyo and New York. Intradaily data are used, so that daytime and overnight returns are defined for both markets. Tokyo daytime hours overlap with New York overnight hours, while New York daytime hours overlap with Tokyo overnight hours. We find that in general Tokyo (Mew York) daytime returns are significantly correlated with New York (Tokyo) overnight returns. This suggests that information revealed during the trading hours of one market has a global impact on the returns of the other market. One exception is that after the October 1987 Crash, the Tokyo overnight returns were not significantly affected by New York daytime returns. We propose and estimate a signal extraction model with GARCH processes to determine the global factor from daytime returns. This is the problem of setting the opening price of a domestic market conditional on the foreign daytime returns. We also investigate lagged return and volatility spillovers. Except for a lagged return spillover from New York to Tokyo for the period after the Crash, there are no significant lagged spillovers in returns or in volatilities.