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A Method for Strategic Asset-Liability Management with an Application to the Federal Home Loan Bank of New York
Author(s) -
Sridhar Seshadri,
Ajay Khanna,
F. Harche,
R. Wyle
Publication year - 1999
Publication title -
operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.797
H-Index - 140
eISSN - 1526-5463
pISSN - 0030-364X
DOI - 10.1287/opre.47.3.345
Subject(s) - liability , loan , asset (computer security) , dividend , interest rate , business , actuarial science , finance , economics , computer science , computer security
Strategic asset-liability management is a primary concern in today's banking environment. In this paper, we present a methodology to assist in the process of asset-liability selection in a stochastic interest rate environment. In our approach, a quadratic optimizer is embedded in a simulation model and used to generate patterns of dividends, market value and duration of capital, for randomly generated interest rate scenarios. This approach can be used to formulate, test, and refine asset-liability strategies. We present results of applying this methodology to data from the Federal Home Loan Bank of New York.

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