Bid-Ask Spreads, Trading Activity, and Trading Hours

Bid-Ask Spreads, Trading Activity, and Trading Hours
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ISBN-10 : OCLC:1291270700
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Book Synopsis Bid-Ask Spreads, Trading Activity, and Trading Hours by : Abhay Abhyankar

Download or read book Bid-Ask Spreads, Trading Activity, and Trading Hours written by Abhay Abhyankar and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates the intra-day pattern of bid-ask spreads, volatility, and volume on the London Stock Exchange. The primary focus of the study is to relate the empirically observed regularities to specific institutional features of the trading system on the Exchange. We also examine the robustness of the results with reference to changes in the trading hours. The data set used consists of quote and transactions data for about 147 stocks and 835 stocks during two quarters of 1990 and 1991. We test for statistical significance of the average inside spread, the volume, and the return volatility during 15-minute intervals using a GMM ( Generalized Method of Moments ) procedure which is robust to both serial correlation and heteroscedasticity. We also indicate graphically the intra-daily patterns in the inside spread, the trading volume, the number of transactions, and the return volatility. Our results suggest that the bid-ask spread is widest outside the Mandatory Quote Period (MQP), i.e. the period during which market-makers are obliged to post firm quotes. The spread narrows slightly over the trading day for highly traded stocks but is almost constant for less liquid stocks. The spread again widens from the end of the MQP till the close of the SEAQ system. We conjecture that the periods prior to and after the MQP provide quot;windowsquot; for price discovery prior to the MQP and for quot;cooling offquot; after the MQP. Trading volume for the entire sample shows a two-humped shape. However, a crude U-shaped pattern is seen for stocks in the highest trading decile based on volume and number of transactions. Volatility, based on the mid-point of the inside spread, also shows a U-shaped pattern. The higher volatility outside the MQP coincides with the greater price uncertainty prevailing during these time periods.


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