The Long Memory of the Efficient Market
Fabrizio Lillo, J. Doyne Farmer
Santa Fe Institute Istituto Nazionale per la Fisica della Materia
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
For the London Stock Exchange we demonstrate that the signs of orders obey a long-memory process. The autocorrelation function decays roughly as a power law with an exponent of 0.6, corresponding to a Hurst exponent H = 0.7. This implies that the signs of future orders are quite predictable from the signs of past orders; all else being equal, this would suggest a very strong market inefficiency. We demonstrate, however, that fluctuations in order signs are compensated for by anti-correlated fluctuations in transaction size and liquidity, which are also long-memory processes that act to make the returns whiter. We show that some institutions display long-range memory and others don’t.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
经济 / 管理Complex Systems and Time Series Analysis
Market Dynamics and Volatility · Financial Risk and Volatility Modeling
参考文献 57
此处列出前 3 条
引用本文 360
按被引量排序,此处列出前 3 条