揭开交易不变性假说

M. Benzaquen, J. Donier, J. Bouchaud
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引用次数: 9

摘要

我们确认并大量扩展了Andersen等人最近的实证结果\cite{Andersen2015},其中表明,E-mini标准普尔期货市场(即价格乘以交易量乘以波动率)的风险量$W$与交易数量的3/2次方$N$相似。我们发现,这个3/2定律在12个期货合约和300只美国股票中非常精确地适用,并且适用于很宽的时间尺度。然而,我们发现Kyle和Obizhaeva提出的“交易不变量”$I=W/N^{3/2}$对于不同的合约,特别是期货和单个股之间,实际上是有很大差异的。我们的分析表明$I/{\cal C}$是一个更自然的候选,其中$\cal C$是交易的平均价差成本,定义为交易规模乘以买卖价差的平均值。我们还为波动性$\sigma$和交易量$V$建立了两个更复杂的标度定律,作为$N$的函数,这揭示了交易特征数$N_0$的存在,高于预期行为$\sigma \sim \sqrt{N}$和$V \sim N$,但低于其强烈的偏差出现,由tick的大小引起。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unravelling the Trading Invariance Hypothesis
We confirm and substantially extend the recent empirical result of Andersen et al. \cite{Andersen2015}, where it is shown that the amount of risk $W$ exchanged in the E-mini S\&P futures market (i.e. price times volume times volatility) scales like the 3/2 power of the number of trades $N$. We show that this 3/2-law holds very precisely across 12 futures contracts and 300 single US stocks, and across a wide range of time scales. However, we find that the "trading invariant" $I=W/N^{3/2}$ proposed by Kyle and Obizhaeva is in fact quite different for different contracts, in particular between futures and single stocks. Our analysis suggests $I/{\cal C}$ as a more natural candidate, where $\cal C$ is the average spread cost of a trade, defined as the average of the trade size times the bid-ask spread. We also establish two more complex scaling laws for the volatility $\sigma$ and the traded volume $V$ as a function of $N$, that reveal the existence of a characteristic number of trades $N_0$ above which the expected behaviour $\sigma \sim \sqrt{N}$ and $V \sim N$ hold, but below which strong deviations appear, induced by the size of the~tick.
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