An order flow model and a liquidity measure of financial markets

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008. === Includes bibliographical references (leaves 151-157). === The thesis seeks a better understanding of liquidity generation process of financial markets and attempts to find a quanti...

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Bibliographic Details
Main Author: Kim, Adlar Jeewook
Other Authors: Tomaso Poggio, Andrew W. Lo and J. Doyne Farmer.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2009
Subjects:
Online Access:http://hdl.handle.net/1721.1/45884
Description
Summary:Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008. === Includes bibliographical references (leaves 151-157). === The thesis seeks a better understanding of liquidity generation process of financial markets and attempts to find a quantitative measure of market liquidity. Various statistical modeling techniques are introduced to model order flow generation, which is a liquidity generation process of the market. The order flow model successively replicates various statistical properties of price returns including fat-tailed distribution of returns, no autocorrelation of returns and strong positive autocorrelation of transaction signs. While attempting to explain how the order flow model satisfies Efficient Market Hypothesis (EMH), I discovered a method of calibrating market liquidity from order flow data. === by Adlar Jeewook Kim. === Ph.D.