---------------------- Forwarded by Vince J Kaminski/HOU/ECT on 05/03/2001 03:34 PM ---------------------------


Zimin Lu
05/03/2001 03:31 PM
To:	Stinson Gibner/HOU/ECT@ECT, Bob Lee/NA/Enron@Enron
cc:	Vince J Kaminski/HOU/ECT@ECT 
Subject:	high frequency market data analysis


Stinson,

We are going to update you and Vince the progress of the EOL George project.  Friday, 9:30AM - 10:00AM in EB 1938.



Bob,

We may get some other ideas from the following book, take a look to see if it is worth to buy one.

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http://www.riskpublications.com/books/index.html



Risk Executive Reports 	 	  	
	 	High-Frequency Financial Market Data Sources, Applications and Market Microstructure By Dr Owain ap Gwilym and Professor Charles Sutcliffe, School of Management, University of Southampton, UK A high-quality, non-technical resource on an increasingly invaluable topic for all users of high-frequency data. 10 sections cover the many aspects of high-frequency data by covering a broad set of information ranging from data suppliers to detailed research angles  Topics covered include: managing HFD; arbitrage opportunities; intra-day seasonalities; regulation; market efficiency and market making.     Format Price Report ?175/US$280 A4, 162pp Published: August 1999  Review  | Table of Contents  | Order Now in ?  | Order Now in $      For other titles of interest please click here: Risk Executive Reports   Send this page to a colleagueHigh-Frequency Financial Market DataCONTENTS1. Introduction and overview Overview and background The motivation and demand for high-frequency data The uses of high-frequency data Structure of this report2. Sources and Types of High-Frequency Data Types of data Data supplied by exchanges Panel 2.1 (by Paul MacGregor, Liffe) - The sourcing and preparation of Liffe tick data Specialist data providers Real-time data providers Summary3. Managing and Exploiting High-Frequency Data Panel 3.1 - Illustrative high-frequency data Data storage, filtering and cleaning The treatment of time Panel 3.2 - Olsen filtering system Constructing continuous series Key considerations in manipulating high-frequency data Modelling issues Summary of chapter4. Arbitrage Opportunities in Equity Markets What is arbitrage? Empirical studies of arbitrage opportunities Arbitrage in equity markets Individual arbitrage trades5. Intra-Day Seasonalities Intra-day patterns in returns Intra-day patterns in volume Intra-day patterns in volatility Intra-day patterns in the bid-ask spread Intra-day patterns in the autocorrelation of returns Intra-day patterns in hedge ratios Other intra-day patterns Effects of news announcements on intra-day patterns The turn-of-the-year effect and high-frequency data Conclusions6. Links Between Markets Leads and lags in prices between different types of market based on the same asset The 1987 stock market crash Leads and lags in price volatility Links between geographically separated markets Rival markets7. Destabilisation of Markets Relative volatility Programme trading and volatility Price movements at expiration Conclusions8. Regulations Governing the Markets Regulation of dual capacity Circuit breakers Restrictions on short selling Taxes on transactions Tick size and price clustering Delayed publication of trades Conclusions9. Market Efficiency Weak-form efficiency Semi-strong-form efficiency Conclusions10. Market MakingRevision of prices Other aspects of financial markets Determinants of the bid-ask spread Block trades Conclusions11. Conclusion and Future Developments References