Portfolio optimization in the case of an asset with a given liquidation time distribution

L. A. Bordag (), I. P. Yamshchikov and D. Zhelezov
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L. A. Bordag: Zittau/Goerlitz University of Applied Sciences
I. P. Yamshchikov: Zittau/Goerlitz University of Applied Sciences
D. Zhelezov: GU - Göteborgs Universitet = University of Gothenburg

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Abstract: Management of the portfolios containing low liquidity assets is a tedious problem. The buyer proposes the price that can differ greatly from the paper value estimated by the seller, so the seller can not liquidate his portfolio instantly and waits for a more favorable offer. To minimize losses and move the theory towards practical needs one can take into account the time lag of the liquidation of an illiquid asset. Working in the Merton's optimal consumption framework with continuous time we consider an optimization problem for a portfolio with an illiquid, a risky and a risk-free asset. While a standard Black-Scholes market describes the liquid part of the investment the illiquid asset is sold at an exogenous random moment with prescribed liquidation time distribution. The investor has the logarithmic utility function as a limit case of a HARA-type utility. Different distributions of the liquidation time of the illiquid asset are under consideration-a classical exponential distribution and Weibull distribution that is more practically relevant. Under certain conditions we show the existence of the viscosity solution in both cases. Applying numerical methods we compare classical Merton's strategies and the optimal consumption-allocation strategies for portfolios with different liquidation time distributions of an illiquid asset. KEYWORDS portfolio optimization — illiquidity — viscosity solutions — random income

Keywords: portfolio optimization; illiquidity; viscosity solutions; random income (search for similar items in EconPapers)
Date: 2015-04-30
New Economics Papers: this item is included in nep-upt
Note: View the original document on HAL open archive server: https://hal.science/hal-01186961v2
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Citations: View citations in EconPapers (2)

Published in International Journal of Engineering and Mathematical Modelling, 2015, 2 (2), pp.31-50

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