Risk evaluation with enhaced covariance matrix
数据分析、统计与概率
2009-11-13 v3 计算物理
统计金融
摘要
We propose a route for the evaluation of risk based on a transformation of the covariance matrix. The approach uses a `potential' or `objective' function. This allows us to rescale data from different assets (or sources) such that each data set then has similar statistical properties in terms of their probability distributions. The method is tested using historical data from both the New York and Warsaw Stock Exchanges.
引用
@article{arxiv.physics/0612059,
title = {Risk evaluation with enhaced covariance matrix},
author = {Krzysztof Urbanowicz and Peter Richmond and Janusz A. Holyst},
journal= {arXiv preprint arXiv:physics/0612059},
year = {2009}
}
备注
see urbanowicz.org.pl