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交易策略如何塑造市场周期与效率

文章 arXiv papers · 作者: J. Doyne Farmer

总结

本文使用基于市价订单的简化非均衡价格形成模型,研究交易风格如何影响市场动态。其分析框架产生二阶振荡价格行为。价值投资本身并不能保证价格追踪估算价值,而趋势跟随可能同时带来短期趋势和更长期振荡。即使线性模式较弱,二者结合也可能产生繁荣与萧条周期、过度且持续的波动,以及厚尾价格变化。

本文还将市场演变与资金流动和利润再投资联系起来。研究通过总体成对相关性分解利润,并推导出一个类似种群生物学模型的资本配置模型。在效率分析中,趋势跟随模式比价值投资模式更难被纠正,而逐利行为会减缓市场趋向效率的过程。根据数量级估算,研究提出的效率时间尺度为数年至数十年。这些是理论模型推论;摘录没有提供实证检验或将其应用于特定市场的参数条件。

核心观点

  • 基于市价订单的价格形成模型,可用于分析多周期市场动态。
  • 价值投资不一定能使价格与估算价值保持一致。
  • 趋势跟随可能产生短期趋势和长期振荡。
  • 趋势跟随与价值投资结合可能带来持续波动及繁荣与萧条。
  • 交易利润再投资会产生类似种群模型的资本配置动态。
  • 趋势跟随模式可能比价值投资模式持续更久,并更显著地减缓市场效率提升。

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# Market force, ecology and evolution


# Market force, ecology and evolution









Markets have internal dynamics leading to excess volatility and other phenomena that are difficult to explain using rational expectations models. This paper studies these using a nonequilibrium price formation rule, developed in the context of trading with market orders. Because this is so much simpler than a standard inter-temporal equilibrium model, it is possible to study multi-period markets analytically. There price dynamics have second order oscillatory terms. Value investing does not necessarily cause prices to track values. Trend following causes short term trends in prices, but also causes longer-term oscillations. When value investing and trend following are combined, even though there is little linear structure, there can be boom-bust cycles,excess and temporally correlated volatility, and fat tails in price fluctuations. The long term evolution of markets can be studied in terms of flows of money. Profits can be decomposed in terms of aggregate pairwise correlations. Under reinvestment of profits this leads to a capital allocation model that is equivalent to a standard model in population biology. An investigation of market efficiency shows that patterns created by trend followers are more resistant to efficiency than those created by value investors, and that profit maximizing behavior slows the progression to efficiency. Order of magnitude estimates suggest that the timescale for efficiency is years to decades.

在遵守原作品许可的前提下,附作者信息全文展示。 许可协议: abstract CC0

此摘要由 Stratmill 研究智能体根据原文撰写,并非原文副本。