Minimizing Banking Risk in a Lévy Process Setting
Author(s) -
Frednard Gideon,
Janine Mukuddem-Petersen,
Mitchell A. Petersen
Publication year - 2007
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2007/32824
Subject(s) - provisioning , reserve requirement , debt , excess reserves , business , proxy (statistics) , order (exchange) , collateral , process (computing) , cash flow , cash , computer science , finance , economics , monetary economics , central bank , monetary policy , telecommunications , machine learning , operating system
The primary functions of a bank are to obtain funds through deposits from external sources and to use the said funds to issue loans. Moreover, risk management practices related to the withdrawal of these bank deposits have always been of considerable interest. In this spirit, we construct Lévy process-driven models of banking reserves in order to address the problem of hedging deposit withdrawals from such institutions by means of reserves. Here reserves are related to outstanding debt and acts as a proxy for the assets held by the bank. The aforementioned modeling enables us to formulate a stochastic optimal control problem related to the minimization of reserve, depository, and intrinsic risk that are associated with the reserve process, the net cash flows from depository activity, and cumulative costs of the bank's provisioning strategy, respectively. A discussion of the main risk management issues arising from the optimization problem mentioned earlier forms an integral part of our paper. This includes the presentation of a numerical example involving a simulation of the provisions made for deposit withdrawals via treasuries and reserves
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