Stock Return Dynamics Over Intra-day Trading and Nontrading Periods in the London Stock Market PDF Download
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Author: Ronald W. Masulis
Publisher:
ISBN:
Category :
Languages : en
Pages : 42
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Book Description
Author: Ronald W. Masulis
Publisher:
ISBN:
Category :
Languages : en
Pages : 42
Get Book Here
Book Description
Author: Ronald W. Masulis
Publisher:
ISBN:
Category :
Languages : en
Pages : 52
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Author: Victor Ng
Publisher:
ISBN:
Category :
Languages : en
Pages : 14
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Book Description
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.
Author: Ali C. Akyol
Publisher:
ISBN:
Category :
Languages : en
Pages : 25
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Book Description
I examine intraday stock returns in the Istanbul Stock Exchange (ISE) around non-trading periods - weekends and holidays - by utilizing the exchange's structure of two trading sessions. I find that returns are generally more positive in the last session on Fridays and more negative in the first session on Mondays. The results also indicate that the weekend effect has disappeared in the ISE in recent years. I further find some evidence that there is a relationship between the length of a holiday non-trading period and returns around it. The longer a non-trading period is, the more positive the returns are in the morning session before the holiday and the less positive the returns are in the morning session after the holiday. My findings indicate the importance of the uncertainty imposed on stock returns by the length of a non-trading period.
Author: K. C. Chan
Publisher:
ISBN:
Category : Stock quotations
Languages : en
Pages : 60
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Book Description
This paper compares the intra-day patterns on the NYSE and AMEX of volatility, trading volume and bid-ask spreads for European dually- listed stocks, Japanese dually-listed stocks also listed in London, and Japanese dually-listed stocks not listed in London with American stocks of comparable average trading volume and volatility. It is shown that the intra-day patterns for these stocks are remarkably similar even though the public information flows differ markedly across these stocks during the trading day. In the morning, Japanese stocks have the greatest volatility and volume, followed by European stocks and American stocks. These rankings are reversed in the afternoon. We argue that these patterns are consistent with markets reacting to the overnight accumulation of public information which is greatest for Japanese stock and smallest for American stocks and inconsistent with the view that early morning volatility can be attributed to monopolistic specialist behavior.
Author: Ronald W. Masulis
Publisher:
ISBN:
Category :
Languages : en
Pages : 46
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Author: Martin Martens
Publisher:
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Category :
Languages : en
Pages : 34
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Book Description
The use of close-to-close returns underestimates returns correlation because international stock markets have different trading hours. With the availability of 16:00 (London time) stock market series, we find dynamics of daily correlation and daily covariance, estimated using two non-synchroneity adjustment procedures, to be substantially different from their synchronous counterparts. We find volatility spillovers from the US to the UK and France, and there is also evidence of reverse spillovers which is not documented before. Daily covariance increases during volatile periods. But, unlike previous findings, the increase in daily correlation is prominent only under extremely adverse conditions when a large negative return has been registered.
Author: Christoph Riedel
Publisher:
ISBN:
Category :
Languages : en
Pages : 36
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Book Description
We study the magnitude of tail risk -- particularly lower tail downside risk -- that is present in intraday versus overnight market returns and thereby examine the nature of the respective market risk borne by market participants. Using the Generalized Pareto Distribution for the return innovations, we use a GARCH model for the conditional market return components of major stock markets covering the U.S., France, Germany and Japan. Testing for fat-tails and tail index equality, we find that overnight return innovations exhibit significant tail risk, while intraday innovations do not. We illustrate this volatility versus tail risk trade-off based on conditional Value-at-Risk calculations. Our results show that overnight downside market risk is composed of a moderate volatility risk component and a significant tail risk component. We conclude that market participants face different intraday versus overnight risk profiles and that a risk assessment based on volatility only will severely underestimate overnight downside risk.
Author: Abhay Abhyankar
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
This paper uses a data set consisting of a complete history of all transactions and quotes to examine intraday patterns in trading volume, volatility and the quoted bid-ask spread in the market for FTSE-100 index futures. We also document a number of regularities in the pattern of daily returns and volatility of the cash index. Finally, we document intraday patterns in the basis, i.e. the contemporaneous difference between the futures price and the underlying cash index level. In general, we find returns vary somewhat over the day, reflecting in particular the influence of the US market openings in early afternoon London-time. We find that, while both volume and volatility exhibit a U-shaped pattern over the day, movements in the spread tend if anything to follow the opposite pattern. As far as consistency with the best-known microstructure models is concerned, our results are more supportive of the Brock and Kleidon (1992) market closures model than the Admati and Pfleiderer (1988) noise- trading model.
Author: Kirt C. Butler
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ISBN:
Category :
Languages : en
Pages :
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Book Description
We examine the share-price behavior of thinly traded NASDAQ National Market System stocks during periods when financial markets are open but the individual stocks do not trade. The absence of trade allows us to isolate the effect of nontrading from that of market closure. We find that nontrading stocks have negative mean returns and lower variances regardless of whether markets are open or closed. Two-day returns that include one nontrading day have a mean daily return of -0.226% compared to +0.164% for two-day returns over consecutive trading days. Two-day returns that include one nontrading day have only a 3.8% higher variance than one-day returns. We conclude that the relation between transaction arrival, mean returns, and volatility depends on whether a stock is trading and not simply on whether the market is open.
