首页> 外文期刊>Industrial and Corporate Change >Market force, ecology and evolution
【24h】

Market force, ecology and evolution

机译:市场力量,生态与演变

获取原文
           

摘要

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. The resulting 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.
机译:市场具有内部动力,导致过度波动和其他现象,这些现象很难用理性预期模型来解释。本文使用非均衡价格形成规则研究这些价格,该规则是在与市场订单进行交易的情况下开发的。因为这比标准的跨时期均衡模型简单得多,所以可以分析性地研究多周期市场。由此产生的价格动态具有二阶振荡条件。价值投资不一定会导致价格追踪价值。趋势跟踪会导致价格出现短期趋势,但也会导致长期波动。当价值投资和趋势跟踪相结合时,即使线性结构很少,也可能出现繁荣-萧条周期,过度和时间相关的波动性,以及价格波动中的肥大尾巴。市场的长期发展可以用资金流来研究。可以根据成对的成对相关性分解利润。在利润的再投资下,这导致了一种资本分配模型,该模型与人口生物学的标准模型等效。对市场效率的调查表明,趋势追随者创建的模式比价值投资者创建的模式更耐效率,并且利润最大化的行为减慢了效率的发展。数量级估计表明,效率的时间表是数年至数十年。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号