Optimization of N-risky asset portfolios with stochastic variance and transaction costs
C. Atkinson and
P. Ingpochai
Quantitative Finance, 2010, vol. 10, issue 5, 503-514
Abstract:
We examine the intertemporal optimal portfolio selection and consumption rule of an investor with a constant relative risk aversion who faces proportional transaction costs when trading between a risk-free asset and N risky assets. The investor's objective is to maximize the total utility of consumption over a fixed time interval [0, T]. Stochastic dynamic programming is applied to transform the problem into the Hamilton-Jacobi-Bellman equation and perturbation analysis is used to obtain the transaction boundaries and the consumption rule to leading order. We also consider the effect of the stochastic variance on the optimal allocation, where we provide an approximation scheme to determine the transaction boundaries for a portfolio with N risky assets. Numerical examples for a portfolio with a risk-free asset and two risky assets are also provided for constant variance as well as stochastic variance.
Keywords: Quantitative finance; Trading strategies; Transaction costs; Hedging with utility based preferences; Stochastic control (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/14697680903170791 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:quantf:v:10:y:2010:i:5:p:503-514
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RQUF20
DOI: 10.1080/14697680903170791
Access Statistics for this article
Quantitative Finance is currently edited by Michael Dempster and Jim Gatheral
More articles in Quantitative Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().