Dynamic behaviour of optimal portfolio with stochastic volatility

In the existing literature, little is known about the dynamic behaviour of the optimal portfolio in terms of market inputs and arbitrary stochastic factor dynamics in an incomplete market with a stochastic volatility. In this paper, to study optimal portfolio behaviour, we compute and analyze the me...

Full description

Bibliographic Details
Main Authors: Yongmin Zhang, Yingxue Zhao
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Ekonomska Istraživanja
Subjects:
Online Access:http://dx.doi.org/10.1080/1331677X.2020.1788407
id doaj-86575ba7246b43ac8aab63ac84e48658
record_format Article
spelling doaj-86575ba7246b43ac8aab63ac84e486582021-05-13T09:30:27ZengTaylor & Francis GroupEkonomska Istraživanja1331-677X1848-96642021-01-0134135236710.1080/1331677X.2020.17884071788407Dynamic behaviour of optimal portfolio with stochastic volatilityYongmin Zhang0Yingxue Zhao1School of Business and Research Academy of Belt and Road, Ningbo UniversitySchool of Finance, Zhejiang University of Finance & EconomicsIn the existing literature, little is known about the dynamic behaviour of the optimal portfolio in terms of market inputs and arbitrary stochastic factor dynamics in an incomplete market with a stochastic volatility. In this paper, to study optimal portfolio behaviour, we compute and analyze the mean and the variance of the optimal portfolio and of their adjustment speed in terms of market inputs in an incomplete market. The incompleteness arises from the additional source of uncertainty of the volatility in Heston’s stochastic volatility model. Conducting sensitivity analysis for the mean and the variance of the optimal portfolio process as well as its adjustment speed to the market parameters, we find several interesting behavioural patterns of investors towards asset price and its volatility shocks. Our results are robust and convergent by the agreement from two simulation methods for different time step increments and the number of Monte Carlo simulation paths.http://dx.doi.org/10.1080/1331677X.2020.1788407portfolio selectionportfolio distributiondynamic behaviourheston stochastic volatility modelincomplete market
collection DOAJ
language English
format Article
sources DOAJ
author Yongmin Zhang
Yingxue Zhao
spellingShingle Yongmin Zhang
Yingxue Zhao
Dynamic behaviour of optimal portfolio with stochastic volatility
Ekonomska Istraživanja
portfolio selection
portfolio distribution
dynamic behaviour
heston stochastic volatility model
incomplete market
author_facet Yongmin Zhang
Yingxue Zhao
author_sort Yongmin Zhang
title Dynamic behaviour of optimal portfolio with stochastic volatility
title_short Dynamic behaviour of optimal portfolio with stochastic volatility
title_full Dynamic behaviour of optimal portfolio with stochastic volatility
title_fullStr Dynamic behaviour of optimal portfolio with stochastic volatility
title_full_unstemmed Dynamic behaviour of optimal portfolio with stochastic volatility
title_sort dynamic behaviour of optimal portfolio with stochastic volatility
publisher Taylor & Francis Group
series Ekonomska Istraživanja
issn 1331-677X
1848-9664
publishDate 2021-01-01
description In the existing literature, little is known about the dynamic behaviour of the optimal portfolio in terms of market inputs and arbitrary stochastic factor dynamics in an incomplete market with a stochastic volatility. In this paper, to study optimal portfolio behaviour, we compute and analyze the mean and the variance of the optimal portfolio and of their adjustment speed in terms of market inputs in an incomplete market. The incompleteness arises from the additional source of uncertainty of the volatility in Heston’s stochastic volatility model. Conducting sensitivity analysis for the mean and the variance of the optimal portfolio process as well as its adjustment speed to the market parameters, we find several interesting behavioural patterns of investors towards asset price and its volatility shocks. Our results are robust and convergent by the agreement from two simulation methods for different time step increments and the number of Monte Carlo simulation paths.
topic portfolio selection
portfolio distribution
dynamic behaviour
heston stochastic volatility model
incomplete market
url http://dx.doi.org/10.1080/1331677X.2020.1788407
work_keys_str_mv AT yongminzhang dynamicbehaviourofoptimalportfoliowithstochasticvolatility
AT yingxuezhao dynamicbehaviourofoptimalportfoliowithstochasticvolatility
_version_ 1721442331948744704