Bond Portfolio Optimization
By: Puhle, Michael [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes in Economics and Mathematical Systems: 605Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: XIV, 140 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540765936.Subject(s): Finance | Operations research | Decision making | Economics, Mathematical | Mathematical optimization | Finance | Finance, general | Quantitative Finance | Operation Research/Decision Theory | OptimizationDDC classification: 332 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK7154 |
Bond Market Terminology -- Term Structure Modeling in Continuous Time -- Static Bond Portfolio Optimization -- Dynamic Bond Portfolio Optimization in Continuous Time -- Summary and Conclusion.
1 The tools of modern portfolio theory are in general use in the equity markets, either in the form of portfolio optimization software or as an accepted frame- 2 work in which the asset managers think about stock selection. In the ?xed income market on the other hand, these tools seem irrelevant or inapplicable. Bond portfolios are nowadays mainly managed by a comparison of portfolio 3 4 risk measures vis ¶a vis a benchmark. The portfolio manager’s views about the future evolution of the term structure of interest rates translate th- selves directly into a positioning relative to his benchmark, taking the risks of these deviations from the benchmark into account only in a very crude 5 fashion, i.e. without really quantifying them probabilistically. This is quite surprising since sophisticated models for the evolution of interest rates are commonly used for interest rate derivatives pricing and the derivation of ?xed 6 income risk measures. Wilhelm (1992) explains the absence of modern portfolio tools in the ?xed 7 income markets with two factors: historically relatively stable interest rates and systematic di?erences between stocks and bonds that make an application of modern portfolio theory di–cult. These systematic di?erences relate mainly to the ?xed maturity of bonds. Whereas possible future stock prices become more dispersed as the time horizon widens, the bond price at maturity is 8 ?xed. This implies that the probabilistic models for stocks and bonds have 1 Starting with the seminal work of Markowitz (1952).
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