Contributions to Mathematical Finance Applicable to Medical Economics

Moawia Alghalith


DOI10.21767/2471-9927.10009

Moawia Alghalith*

Department of Economics, University of the West Indies, St. Augustine, Trinidad

*Corresponding Author:
Moawia Alghalith
Department of Economics
University of the West Indies
St. Augustine, Trinidad
Tel: 8686622002
E-mail:Moawia.Alghalith@sta.uwi.edu, malghalith@gmail.com

Received Date: November 16, 2015 Accepted Date: November 18, 2015 Published Date: November 28, 2015

Citation: Alghalith M. Contributions to Mathematical Finance Applicable to Medical Economics. J Health Med Econ. 2015, 2:3

Copyright: © 2015 Alghalith M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Introduction

In this editorial, Alghalith provide a summary of selected recent articles that can be applied to the investment in the stocks of medical corporations.

Alghalith [1] overcame a significant obstacle in the existing literature on forward dynamic utilities and related investment models. In doing so, it established the existence and uniqueness of the solutions and it showed that the assumptions needed for these solutions are similar to the solutions using a backward dynamic utility function. Moreover, it applied Hausdorffcontinuous viscosity solutions to financial modelling. According to Alghalith [1], the forward dynamic utility is given by

Equation

where U is the utility function and V is the value function; the form of the utility is determined by the stochastic variable ?. Alghalith [2] introduced a new stochastic factor (portfolio) model. In doing so, it provided an explicit solution to the portfolio model. More-over, it showed that the optimal portfolio does not depend on the investor’s preferences.

Alghalith [3] considered a portfolio model with an unknown investment horizon. It derived solutions to the optimal portfolio without adding significant complexities to the standard model (the model with known horizon).

Similarly, Alghalith [4] relaxed the assumption of self-financing strategies. This was done without a significant complication of the optimal solutions.

Alghalith [5] provided classical solutions to the portfolio optimization problem under a non-differentiable value function. Therefore, it did not rely on the traditional approaches such as the HJB PDEs and viscosity solutions.

In sum, this opinion Article highlights the interface between mathematical finance and health economics.

References

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