Nonlinear price impact from linear models

Nonlinear price impact from linear models
复制标题

线性模型的非线性价格影响

DOI:
10.1088/1742-5468/aa9335
复制
发表时间:
2017
期刊:
Journal of Statistical Mechanics: Theory and Experiment
影响因子:
--
通讯作者:
Jean-Philippe Bouchaud
Jean-Philippe Bouchaud
中科院分区:
--
文献类型:
--
作者:
Felix Patzelt;Jean-Philippe Bouchaud

文献摘要

参考文献

被引文献

相似文献

交易对资产价格的影响对学者、监管者和从业者来说都是市场动态的一个重要方面。最近,在所有日内尺度上,价格影响的普遍和高度非线性的主曲线被观察到(Patzelt and Bouchaud 2017 arXiv: 1706.04163)。在这里,我们研究如何很好地这些曲线,他们的缩放,和潜在的回报动态捕获的线性“传播者”模型。我们发现,将交易分类为价格变动与非价格变动可以在很大程度上解释价格影响的非线性和短期收益动态。除订单符号历史记录外,变更指标提供的解释力随着标记大小的增加而增加。为了获得这些结果,解决了几个长期存在的模型校准和测试技术问题。我们提出了新的谱估计两点和三点互相关,消除了以前使用的近似值的需要。我们还展示了校准何时是无偏的,以及如何准确地揭示以前被忽视的偏差。因此,我们的结果有助于理解最近的实证结果和一类流行的影响模型的性质。
The impact of trades on asset prices is a crucial aspect of market dynamics for academics, regulators, and practitioners alike. Recently, universal and highly nonlinear master curves were observed for price impacts aggregated on all intra-day scales (Patzelt and Bouchaud 2017 arXiv: 1706.04163). Here we investigate how well these curves, their scaling, and the underlying return dynamics are captured by linear'propagator'models. We find that the classification of trades as price-changing versus non-price-changing can explain the price impact nonlinearities and short-term return dynamics to a very high degree. The explanatory power provided by the change indicator in addition to the order sign history increases with increasing tick size. To obtain these results, several long-standing technical issues for model calibration and testing are addressed. We present new spectral estimators for two-and three-point cross-correlations, removing the need for previously used approximations. We also show when calibration is unbiased and how to accurately reveal previously overlooked biases. Therefore, our results contribute significantly to understanding both recent empirical results and the properties of a popular class of impact models.
DOI: --
发表时间: 2015
期刊:
影响因子: --
作者:
Weibing Huang;Charles;M. Rosenbaum
通讯作者: M. Rosenbaum
订单流对价格影响的线性模型 I. 传播者:瞬时影响与历史相关影响
DOI: 10.2139/ssrn.2770352
发表时间: 2016
期刊: Capital Markets: Market Microstructure eJournal
影响因子: --
作者:
D. Taranto;G. Bormetti;J. Bouchaud;F. Lillo;B. Tóth
通讯作者: B. Tóth
所有订单簿事件影响的模型
DOI: --
发表时间: 2011
期刊:
影响因子: --
作者:
Zoltán Eisler;J. Bouchaud;J. Kockelkoren
通讯作者: J. Kockelkoren
中观规模的订单流和限制订单簿弹性
DOI: --
发表时间: 2017
期刊:
影响因子: --
作者:
Kyle Bechler;M. Ludkovski
通讯作者: M. Ludkovski
20世纪70年代欧洲性别平等话语的互动与分歧
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者:
Okada Isamu;Yanagi Itaru;Kubo Yoshiaki;Kikuchi Hirokazu;清水純;福田円;網谷龍介
通讯作者: 網谷龍介