摘要翻译:
针对金融市场中高频交易做法的持续审查,我们报告了一项广泛的实证研究的结果,该研究估计了最激进的此类做法的最大可能盈利能力,并得出了令人惊讶的适度数字。所谓“积极”,我们指的是任何专门使用市场指令和相对较短持有期的交易策略。我们的发现突出了高频交易者面临的执行成本和交易期限之间的紧张关系,并提供了一个关于高频辩论的受控和大规模的经验视角,这是迄今为止没有的。我们的研究采用了许多新颖的实证方法,包括模拟一个“无所不知”的高频交易者,他能预见未来并据此行事。
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英文标题:
《Empirical Limitations on High Frequency Trading Profitability》
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作者:
Michael Kearns, Alex Kulesza, Yuriy Nevmyvaka
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最新提交年份:
2010
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分类信息:
一级分类:Quantitative Finance 数量金融学
二级分类:Trading and Market Microstructure 交易与市场微观结构
分类描述:Market microstructure, liquidity, exchange and auction design, automated trading, agent-based modeling and market-making
市场微观结构,流动性,交易和拍卖设计,自动化交易,基于代理的建模和做市
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一级分类:Quantitative Finance 数量金融学
二级分类:Computational Finance 计算金融学
分类描述:Computational methods, including Monte Carlo, PDE, lattice and other numerical methods with applications to financial modeling
计算方法,包括蒙特卡罗,偏微分方程,格子和其他数值方法,并应用于金融建模
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英文摘要:
Addressing the ongoing examination of high-frequency trading practices in financial markets, we report the results of an extensive empirical study estimating the maximum possible profitability of the most aggressive such practices, and arrive at figures that are surprisingly modest. By "aggressive" we mean any trading strategy exclusively employing market orders and relatively short holding periods. Our findings highlight the tension between execution costs and trading horizon confronted by high-frequency traders, and provide a controlled and large-scale empirical perspective on the high-frequency debate that has heretofore been absent. Our study employs a number of novel empirical methods, including the simulation of an "omniscient" high-frequency trader who can see the future and act accordingly.
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PDF链接:
https://arxiv.org/pdf/1007.2593