Processing of high frequency data with risk aversion

O. Kritski
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引用次数: 2

Abstract

This paper suggests the calculation methodology of univariate and multivariate absolute risk aversion based on asymptotic analysis of conditional expectation and future excess return variance. In the paper we provide modification of the multivariate econometric algorithm on the assumption of weakly time-varying correlation matrices for which the conditions of positive definiteness were received. We prove theorems on relation between risk aversion of shares and futures. Next, concerning risk aversion of various financial instruments with common underlying asset, we defined a time-varying stochastic no-arbitrage interest rate used in Black-Cox credit risk model.
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规避风险的高频数据处理
本文提出了基于条件期望和未来超额收益方差渐近分析的单变量和多变量绝对风险厌恶的计算方法。本文在弱时变相关矩阵的假设下,给出了多元计量算法的修正,该算法具有正确定性条件。我们证明了股票风险厌恶与期货之间关系的定理。其次,针对具有共同标的资产的各种金融工具的风险厌恶,我们定义了一个用于Black-Cox信用风险模型的时变随机无套利利率。
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