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Fractional Wishart processes and ε-fractional Wishart processes with applications

机译:分数Wishart过程和ε-分数Wishart过程及其应用

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摘要

In this paper, we introduce two new matrix stochastic processes: fractional Wishart processes and epsilon-fractional Wishart processes with integer indices which are based on the fractional Brownian motions and then extend epsilon-fractional Wishart processes to the case with non-integer indices. Both processes include classic Wishart processes (if the Hurst index H equals 1/2) and present serial correlation of stochastic processes. Applying epsilon-fractional Wishart processes to financial volatility theory, the financial models account for the stochastic volatilities of the assets and for the stochastic correlations not only between the underlying assets' returns but also between their volatilities and for stochastic serial correlation of the relevant assets. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在本文中,我们介绍了两个新的矩阵随机过程:分数Wishart过程和具有整数指数的epsilon-fractional Wishart过程,它们基于分数布朗运动,然后将epsilon-fractional Wishart过程扩展到具有非整数指标的情况。这两个过程都包括经典的Wishart过程(如果Hurst指数H等于1/2),并且呈现随机过程的序列相关性。将epsilon-fractional Wishart过程应用到金融波动性理论中,财务模型不仅考虑了资产的随机波动性,还考虑了相关资产收益之间的随机相关性,还考虑了其​​波动率之间的相关性以及相关资产的随机序列相关性。 (C)2018 Elsevier Ltd.保留所有权利。

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