Journal of Applied Mathematics
Volume 2007 (2007), Article ID 29343, 22 pages
doi:10.1155/2007/29343
Research Article
Maximizing Banking Profit on a Random Time Interval
1Department of Mathematics and Applied Mathematics, Faculty of Science, North-West University (Potchefstroom Campus), Private Bag X 6001, Potchefstroom 2520, South Africa
2School of Modeling Sciences, North-West University (Vaaldriehoek Campus), Private Bag X 6001, P.O. Box 1174, Vanderbijlpark 1900, South Africa
Received 2 March 2007; Accepted 1 April 2007
Academic Editor: Ibrahim Sadek
Copyright © 2007 J. Mukuddem-Petersen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
We study the stochastic dynamics of banking items such as assets, capital,
liabilities and profit. A consideration of these items leads to the formulation of
a maximization problem that involves endogenous variables such as depository
consumption, the value of the bank's investment in loans, and provisions for loan
losses as control variates. A solution to the aforementioned problem enables us
to maximize the expected utility of discounted depository consumption over a
random time interval, [t,τ], and profit at terminal time
τ. Here, the term depository consumption refers to the
consumption of the bank's profits by the taking and holding of deposits. In particular, we determine an analytic solution for the associated Hamilton-Jacobi-Bellman (HJB) equation in the case where the utility functions are either
of power, logarithmic, or exponential type. Furthermore, we analyze certain aspects of the banking model and optimization against the regulatory backdrop offered by the latest banking regulation in the form of the Basel II capital accord. In keeping with the main theme of our
contribution, we simulate the financial indices return on equity and return on assets that are two measures of bank profitability.