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Multi-Period VaR-Constrained Portfolio Optimization with Applications to the Electric Power Sector

Listed author(s):
  • Paul R. Kleindorfer
  • Lide Li
Registered author(s):

    This paper considers the optimization of portfolios of real and contractual assets, including derivative instruments, subject to a Value-at-Risk (VaR) constraint, with special emphasis on applications in electric power. The focus is on translating VaR definitions for a longer period of time, say a year, to decisions on shorter periods of time, say a week or a month. Thus, if a VaR constraint is imposed on annual cash flows from a portfolio, translating this annual VaR constraint into appropriate risk management/VaR constraints for daily, weekly or monthly trades within the year must be accomplished. The paper first characterizes the multi-period VaR-constrained portfolio problem in the form Max {E Ð kV} subject to a set of separable constraints over the decision variables (the level of assets of different instruments contained in the portfolio), where E and V are, respectively, the expected value and variance of multi-period cashflows from operations covered by the portfolio. Then, assuming the distribution of multi-period cashflows satisfies a certain regularity condition (which is a generalization of the standard Gaussian assumption underlying VaR), we derive computationally efficient methods for solving this problem that take the form of the standard quadratic programming formulations well-known in financial portfolio analysis.

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    Article provided by International Association for Energy Economics in its journal The Energy Journal.

    Volume (Year): Volume 26 (2005)
    Issue (Month): Number 1 ()
    Pages: 1-26

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    Handle: RePEc:aen:journl:2005v26-01-a01
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