Online Learning of Informed Market Making

35 Pages Posted: 18 Jun 2012

See all articles by Gal Zahavi

Gal Zahavi

Technion-Israel Institute of Technology - The William Davidson Faculty of Industrial Engineering & Management

Ori Gil

Technion-Israel Institute of Technology

Date Written: June 13, 2012

Abstract

Many economic markets, including most major stock exchanges, employ market-makers to aid in the transactions and provide a better quality market. This Study is aimed to establish an analytical foundation for electronic market making strategy, by giving a probabilistic interpretation to the Bid-Ask spread. The suggested strategy will be optimized with on-line learning from the high frequency data of the TASE (Tel Aviv Stock Exchange) order book. Based on this foundation, we wish to create an automated securities dealer that will perform the task of providing liquidity to the markets efficiently, and with low downturn risk. We compare the expected performance of the automated dealer with several bench mark measures of Market liquidity such as those presented in Roll (1984) and Glosten & Milgrom (1985).

Keywords: algorithmic trading, liquidity, market monitoring, market making, infomed trading

JEL Classification: G10, G14

Suggested Citation

Zahavi, Gal and Gil, Ori, Online Learning of Informed Market Making (June 13, 2012). Available at SSRN: https://ssrn.com/abstract=2083686 or http://dx.doi.org/10.2139/ssrn.2083686

Gal Zahavi (Contact Author)

Technion-Israel Institute of Technology - The William Davidson Faculty of Industrial Engineering & Management ( email )

Technion City
Haifa 32000
Israel
+972-52-2381117 (Phone)

HOME PAGE: http://www.financial-engineering-lab.org/

Ori Gil

Technion-Israel Institute of Technology ( email )

Technion City
Haifa 32000, Haifa 32000
Israel

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