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Inter-Temporal Analysis and Optimization of Bank Portfolios

Author

Listed:
  • D. Chambers

    (Northwestern University)

  • A. Charnes

    (Northwestern University)

Abstract

This paper is concerned with formulating, exploring and interpreting the uses and constructs which may be derived from a mathematical model of programming type which expresses more realistically than past efforts the actual conditions of current operations. It is an attempt to provide a means of attaining thereby an objective understanding of the implications of actual Federal Reserve liquidity policy on the actions and opportunities of banking institutions. The model presented corresponds to the problem of determining an optimal portfolio for an individual bank over several time periods in accordance with requirements laid down by bank examiners which are interpreted as defining limits within which the level of risk associated with the return on the portfolio is an acceptable one. The problem is transformed into an equivalent one offering advantages of analysis and of computation. Some methods of effective computation are explored.

Suggested Citation

  • D. Chambers & A. Charnes, 1961. "Inter-Temporal Analysis and Optimization of Bank Portfolios," Management Science, INFORMS, vol. 7(4), pages 393-410, July.
    • Handle: RePEc:inm:ormnsc:v:7:y:1961:i:4:p:393-410
    DOI: 10.1287/mnsc.7.4.393
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    Cited by:

    1. Alaaeddin Al-Tarawneh & Mohmmad Khataybeh, 2015. "Portfolio Behaviour of Commercial Banks: The Expected Utility Approach: Evidence from Jordan," International Journal of Economics and Financial Issues, Econjournals, vol. 5(2), pages 312-323.
    2. Birge, John R. & Júdice, Pedro, 2013. "Long-term bank balance sheet management: Estimation and simulation of risk-factors," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4711-4720.
    3. Kim J. Kowalewski, 1978. "Mutual Savings and Loan Conversions," The American Economist, Sage Publications, vol. 22(2), pages 12-22, October.
    4. Petrus Strydom, 2017. "Funding optimization for a bank integrating credit and liquidity risk," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(2), pages 1-1.
    5. Ajibola Arewa & John Ayodele Owoputi & Lezaasi Lenee Torbira, 2013. "Financial Statement Management, Liability Reduction and Asset Accumulation: An Application of Goal Programming Model to a Nigerian Bank," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 4(4), pages 83-90, October.
    6. Oguzsoy, Cemal Berk & Guven, Sibel, 1997. "Bank asset and liability management under uncertainty," European Journal of Operational Research, Elsevier, vol. 102(3), pages 575-600, November.
    7. Robert Ferstl & Alexander Weissensteiner, 2011. "Backtesting Short-Term Treasury Management Strategies Based on Multi-Stage Stochastic Programming," Palgrave Macmillan Books, in: Gautam Mitra & Katharina Schwaiger (ed.), Asset and Liability Management Handbook, chapter 19, pages 469-494, Palgrave Macmillan.
    8. ManMohan S. Sodhi, 2005. "LP Modeling for Asset-Liability Management: A Survey of Choices and Simplifications," Operations Research, INFORMS, vol. 53(2), pages 181-196, April.

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