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Limit Order Books

Part of Physics of Society: Econophysics and Sociophysics

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  • format: Adobe eBook Reader
  • isbn: 9781316870686

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About the Authors
  • A limit order book is essentially a file on a computer that contains all orders sent to the market, along with their characteristics such as the sign of the order, price, quantity and a timestamp. The majority of organized electronic markets rely on limit order books to store the list of interests of market participants on their central computer. A limit order book contains all the information available on a specific market and it reflects the way the market moves under the influence of its participants. This book discusses several models of limit order books. It begins by discussing the data to assess their empirical properties, and then moves on to mathematical models in order to reproduce the observed properties. Finally, the book presents a framework for numerical simulations. It also covers important modelling techniques including agent-based modelling, and advanced modelling of limit order books based on Hawkes processes. The book also provides in-depth coverage of simulation techniques and introduces general, flexible, open source library concepts useful to readers studying trading strategies in order-driven markets.

    • Offers a complete guide to the statistical properties of limit order books
    • Offers an in-depth mathematical study of the Markovian model of limit order books
    • Includes detailed algorithms for the numerical analysis of limit order books
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    Product details

    • format: Adobe eBook Reader
    • isbn: 9781316870686
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    List of tables
    List of figures
    1. A short introduction to limit order books
    2. Statistical properties of limit order books: a survey
    3. The order book shape as a function of the average size of limit orders
    4. Empirical evidence of market making and market taking
    5. Agent-based modelling of limit order books: a survey
    6. The mathematical structure of zero-intelligence limit order book models
    7. The order book as a queueing system
    8. Advanced modelling of limit order books
    9. Numerical simulation of limit order books
    10. Market imperfection and predictability
    Appendix A. A catalogue of order types on financial markets
    Appendix B. Limit order book data
    Appendix C. Some useful mathematical notions
    Appendix D. Comparison of various prediction methods

  • Authors

    Frédéric Abergel, CentraleSupélec, France
    Frederic Abergel is Professor and Chair of Quantitative Finance, CentraleSupélec, France. He holds a PhD in Mathematics from the Université Paris-Sud. He began his career as a CNRS scientist at the Université Paris-Sud and gained several years of industrial experience in investment banking at BNP Paribas, CAI Cheuvreux, Barclays Capital and Natixis CIB. His areas of research include financial markets, pricing and hedging of derivatives, quantitative finance and empirical properties of financial data.

    Marouane Anane, BNP Paribas, France
    Marouane Anane is a Quantitative Analyst at BNP Paribas, Paris. He holds a Ph.D. in Applied Mathematics from the École Centrale Paris. His research interests include market-making strategies, price dynamics and automated technical analysis.

    Anirban Chakraborti, Jawaharlal Nehru University
    Anirban Chakraborti is Professor and Dean of the School of Computational and Integrative Sciences, Jawaharlal Nehru University. He holds a Ph.D. in Physics from the Saha Institute of Nuclear Physics. He has held several academic and research positions at the Saha Institute of Nuclear Physics, the Helsinki University of Technology, Brookhaven National Laboratory, Banaras Hindu University and the École Centrale Paris. In 2009, he received the Young Scientist Medal from the Indian National Science Academy. His areas of research include econophysics, statistical physics and quantum physics.

    Aymen Jedidi, HSBC Bank, France
    Aymen Jedidi is a Quantitative Analyst at HSBC Bank, Paris. He holds a Ph.D. in Applied Mathematics from the École Centrale Paris. His research interests are quantitative risk management and stochastic order book modelling.

    Ioane Muni Toke, Université de la Nouvelle-Calédonie
    Ioane Muni Toke is Associate Professor and Dean of Studies at the Université de la Nouvelle-Calédonie, New Caledonia. He holds a Ph.D. in Applied Mathematics from the École Centrale Paris. He has held academic and research positions at the École Centrale Paris and the University of Texas, Dallas. His research interests include financial markets modelling and microstructure, quantitative finance, statistical finance, applied mathematics and applied probability.

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