Abstract

We use the dynamic programming principle method to obtain the Hamilton-Jacobi-Bellman (HJB) equation for the value function, and solve the optimal portfolio problem explicitly in a Black-Scholes type of market driven by fractional Brownian motion with Hurst parameter [see formula in PDF]. The results are compared with the corresponding well-known results in the standard Black-Scholes market [see formula in PDF]. As an application of our proposed model, two optimal problems are discussed and solved, analytically.

Highlights

  • The idea of replacing Brownian motion with another Gaussian process in the usual financial models has been around for some time

  • Rogers[1] showed that arbitrage is possible when the risky asset has a log-normal price driven by a fractional Brownian motion if stochastic integrals are defined using pointwise products

  • Using the white noise approach it is clear that stochastic integrals should be defined using Wick products

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Summary

Introduction

The idea of replacing Brownian motion with another Gaussian process in the usual financial models has been around for some time. When the factors are strongly independent, a Wick product reduces to a pointwise product, and in the Brownian motion case white noise integral reduces to the usual Itô integral. | | 0 k=0 where f (t, ω) : R R is Skorohod integrable, denotes the Wick product We call these fractional Itô integral because these integrals share many of the properties of the classical Itô integrals. We consider the method of fractional HJB equation This equation is a partial differential equation. As an application of this derivation, two optimal problems have discussed and solved by the method of fractional HJB equation

Optimization Model
The Closed-Form Solution
Logarithm Utility Now let us consider the following utility function U (x) ln x
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