Multiscale Stochastic Volatility Problem with Wavelet Risk Premium

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Authors: Bright Okore Osu, Chidinma Olunkwa, M. E. Egwe, Festus N. Chuku
Cited by: 0

Abstract

In this paper, the mean variance portfolio with multiscale stochastic volatility using the wavelet risk premium was considered. A seemingly wavelet function which was used to investigate the multiscale stochastic volatility(MSSV) used in stock price model was derived. Two types of volatility, namely; a fast -moving one and a slowly-moving one were considered using the stochastic dynamic programming principle and\\ Hamilton-Jacobi-Bellman equation approach. The optimal investment strategy, the value function was obtained.

Fields of Study & Subjects

Stochastic processes and financial applications Risk and Portfolio Optimization

Publication details

Journal / source
Journal of Theoretical Physics & Mathematics Research
Volume
04
Issue
02
Pages
01–13
Publication date
2 April 2026
Language
EN