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-List Of Titles -Asset allocation under stochastic interest rate with regime switching

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/182501

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Title
Asset allocation under stochastic interest rate with regime switching
Related
Economic modelling, Vol. 29, No. 4, (2012), p.1126-1136
DOI
10.1016/j.econmod.2012.03.024
Publisher
Elsevier
Date
2012
Author/Creator
Shen, Yang
Author/Creator
Siu, Tak Kuen
Description
We investigate an optimal asset allocation problem in a Markovian regime-switching financial market with stochastic interest rate. The market has three investment opportunities, namely, a bank account, a share and a zero-coupon bond, where stochastic movements of the short rate and the share price are governed by a Markovian regime-switching Vasicek model and a Markovian regime-switching Geometric Brownian motion, respectively. We discuss the optimal asset allocation problem using the dynamic programming approach for stochastic optimal control and derive a regime-switching Hamilton-Jacobi-Bellman (HJB) equation. Particular attention is paid to the exponential utility case. Numerical and sensitivity analysis are provided for this case. The numerical results reveal that regime-switches described by a two-state Markov chain have significant impacts on the optimal investment strategies in the share and the bond. Furthermore, the market prices of risk in both the bond and share markets are crucial factors in determining the optimal investment strategies.
Description
11 page(s)
Subject Keyword
dynamic programming principle
Subject Keyword
HJB equation
Subject Keyword
regime-switching
Subject Keyword
stochastic flows
Subject Keyword
stochastic interest rate
Resource Type
journal article
Organisation
Macquarie University. Dept. of Applied Finance and Actuarial Studies

Identifier
http://hdl.handle.net/1959.14/182501
Identifier
ISSN:0264-9993
Identifier
mq_res-ext-2-s2.0-84860343912
Language
eng
Reviewed
Reviewed
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Economic modelling"
 
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