Measurement of Current Market Correlations Based on Ensemble Statistics

Jack Sarkissian, Joel H. Sebold
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引用次数: 3

Abstract

We employ averaging over statistical ensemble of assets to derive an index characterizing the level of correlations in a financial market – the eCORR index. This index does not require lengthy historical data and reacts immediately to any changes in correlations. Study of statistical properties of eCORR for US equity markets reveals how volatility is distributed between the common part and the part specific to individual equities. It also allows to demonstrate and quantify the correlation-drawdown hysteresis effect. The eCORR index promises to be useful for early detection of market correlations, managing risk concentrations and maintaining portfolio diversification.
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基于集合统计的当前市场相关性度量
我们采用对资产的统计集合进行平均,得出一个表征金融市场相关性水平的指数——eCORR指数。该索引不需要冗长的历史数据,并对相关性的任何变化立即作出反应。对美国股票市场eCORR统计特性的研究揭示了波动性如何在共同部分和特定于个股的部分之间分布。它还允许演示和量化相关缩差滞后效应。eCORR指数有望在早期发现市场相关性、管理风险集中度和维持投资组合多样化方面发挥作用。
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