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Journal of Engineering and Applied Sciences

ISSN: Online 1818-7803
ISSN: Print 1816-949x
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Utility Marked To Market Optimal Asset Allocation

Nora Amelda Rizal, Soedarso Kaderi Wiryono and Budhi Arta Surya
Page: 1714-1720 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

This study discusses optimal asset allocation strategy of a utility-maximizing investor dynamic in time as new market information becomes available to the investor. The objective is to find the optimal strategy that maximizes the expected total discounted log-utility of consumption over finite life time. Trading is assumed to take place between stock and risk-free bond (money account) paying constant interest rate. The underlying uncertainty in the stock price is governed by binomial process based on simple Markov chain approximation of diffusion process. The problem is solved using stochastic dynamic programming approach. In contrast to the continuous-time counterpart, the optimal trading and consumption strategies are found to be time-dependent in recursive manners. Sufficient conditions for short selling are given in terms of physical and martingale probabilities of the stock price. The result is then applied to Indonesia’s stock data.


How to cite this article:

Nora Amelda Rizal, Soedarso Kaderi Wiryono and Budhi Arta Surya. Utility Marked To Market Optimal Asset Allocation.
DOI: https://doi.org/10.36478/jeasci.2016.1714.1720
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2016.1714.1720