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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 506))

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Abstract

In financial economics we model investors’ attitudes towards risk in order to come up with a reasonable relationship of risk and return in the relevant market. In standard microeconomic theory investors’ tastes are modeled by specifying their utility function, being, for example, an investor with a logarithmic utility function as in the production-exchange economy of Cox, Ingersoll, and Ross (1985a). To get a utility function for a representative investor, we then aggregate the utility functions across investors with potential aggregation problems.75 In an equilibrium term structure model this utility function indirectly enters into the form of the market price of risk. However, looking at real world security markets we see different investors present on different trading days. Thus, we could model these changing representative tastes over time by allowing for a dynamic behavior of the market price of risk λ(t). This approach is inspired by a shift from modeling static tastes as with previous term structure models to capture the beliefs of the dynamic behavior of tastes. Instead of assuming the same representative investor being present over time, i.e. assuming λ (t) = const, we set up a plausible dynamic model of how the market price of risk possibly fluctuates over time.

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References

  1. See Ingersoll (1987).

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  2. Rogers (1995, p. 93).

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  3. For an overview of different classes in term structure modeling see, for example, Uhrig (1996, ch. 1).

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  4. See, for example, Duffie and Kan (1996).

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  5. See, for example, the specification analysis of Dai and Singleton (2000).

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  6. See, for example, Chen (1996b, ch. 2).

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  7. The empirical studies on this subject include Chen and Scott (1992) and Pearson and Sun (1994) who use a maximum likelihood estimation, the works by Heston (1992) and Gibbons and Ramaswamy (1993) based on the generalized methods of moments, and the factor analysis of Litterman and Scheinkman (1991).

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  8. Chen (1996a), for example, develops a model using the short rate, the short-term mean, and the short-term volatility as explaining factors.

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  9. Proposed by Vasicek (1977). For the reasonability of a mean-reversion specification for the short rate see, for example, Backus, Foresi, and Zin (1998).

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  10. See the original work by Girsanov (1960) and, for example, Oksendal (1995).

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  11. The derivative security price P (t, T, x) is a function of the variables time t, the short rate r, and the market price of risk λ, whereas the maturity date T is regarded as a parameter.

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  12. See, for example, Heath, Jarrow, and Morton (1992, pp. 86–87).

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  13. See Morton (1988).

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  14. I.e. the stochastic part in the models corresponding stochastic differential equation drops out. See, for example, Merton (1973).

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  15. Note that the vice versa argument does not hold; freedom of arbitrage does not imply an equilibrium.

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© 2001 Springer-Verlag Berlin Heidelberg

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Kellerhals, B.P. (2001). Term Structure Model. In: Financial Pricing Models in Continuous Time and Kalman Filtering. Lecture Notes in Economics and Mathematical Systems, vol 506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-21901-0_12

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  • DOI: https://doi.org/10.1007/978-3-662-21901-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42364-5

  • Online ISBN: 978-3-662-21901-0

  • eBook Packages: Springer Book Archive

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