The impact of heterogeneous trading rules on the limit order book and order flows

被引:139
|
作者
Chiarella, Carl [2 ]
Iori, Giulia [1 ]
Perello, Josep [3 ]
机构
[1] City Univ London, Dept Econ, London EC1V 0HB, England
[2] Univ Technol Sydney, Sch Finance & Econ, Broadway, NSW 2007, Australia
[3] Univ Barcelona, Dept Fis Fonamental, E-08028 Barcelona, Spain
来源
基金
澳大利亚研究理事会;
关键词
Market microstructure; Limit orders; Fundamentalism; Chartism; Large fluctuations; FINANCIAL MARKET; PRICE; FLUCTUATIONS; DYNAMICS; ORIGIN;
D O I
10.1016/j.jedc.2008.08.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this paper we develop a model of an order-driven market where traders set bids and asks and post market or limit orders according to exogenously fixed rules. Agents are assumed to have three components of the expectation of future asset returns, namely fundamentalist, chartist and noise trader. Furthermore agents differ in the characteristics describing these components, such as time horizon. risk aversion and the weights given to the various components. The model developed here extends a great deal of earlier literature in that the order submissions of agents are determined by utility maximisation, rather than the mechanical unit order size that is commonly assumed. In this way the order flow is better related to the ongoing evolution of the market. For the given market structure we analyze the impact of the three components of the trading strategies on the statistical properties of prices and order flows and observe that it is the chartist strategy that is mainly responsible of the fat tails and clustering in the artificial price data generated by the model. The paper provides further evidence that large price changes are likely to be generated by the presence of large gaps in the book. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:525 / 537
页数:13
相关论文
共 50 条
  • [41] Trading rules, competition for order flow and market fragmentation
    Kwan, Amy
    Masulis, Ronald
    McInish, Thomas H.
    [J]. JOURNAL OF FINANCIAL ECONOMICS, 2015, 115 (02) : 330 - 348
  • [42] The price impact of order book events: market orders, limit orders and cancellations
    Eisler, Zoltan
    Bouchaud, Jean-Philippe
    Kockelkoren, Julien
    [J]. QUANTITATIVE FINANCE, 2012, 12 (09) : 1395 - 1419
  • [43] High Frequency Asymptotics for the Limit Order Book
    Lakner, Peter
    Reed, Josh
    Stoikov, Sasha
    [J]. MARKET MICROSTRUCTURE AND LIQUIDITY, 2016, 2 (01)
  • [44] HYDRODYNAMIC LIMIT OF ORDER-BOOK DYNAMICS
    Gao, Xuefeng
    Deng, S. J.
    [J]. PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES, 2018, 32 (01) : 96 - 125
  • [45] A diffusion approximation for limit order book models
    Horst, Ulrich
    Kreher, Doerte
    [J]. STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2019, 129 (11) : 4431 - 4479
  • [46] Latency and liquidity provision in a limit order book
    Bonart, Julius
    Gould, Martin D.
    [J]. QUANTITATIVE FINANCE, 2017, 17 (10) : 1601 - 1616
  • [47] A limit order book model for latency arbitrage
    Samuel N. Cohen
    Lukasz Szpruch
    [J]. Mathematics and Financial Economics, 2012, 6 : 211 - 227
  • [48] IS THE ELECTRONIC OPEN LIMIT ORDER BOOK INEVITABLE
    GLOSTEN, LR
    [J]. JOURNAL OF FINANCE, 1994, 49 (04): : 1127 - 1161
  • [49] A limit order book model for latency arbitrage
    Cohen, Samuel N.
    Szpruch, Lukasz
    [J]. MATHEMATICS AND FINANCIAL ECONOMICS, 2012, 6 (03) : 211 - 227
  • [50] Multiple Kernel Learning on the Limit Order Book
    Fletcher, Tristan
    Hussain, Zakria
    Shawe-Taylor, John
    [J]. PROCEEDINGS OF THE FIRST WORKSHOP ON APPLICATIONS OF PATTERN ANALYSIS, 2010, 11 : 167 - 174