Interest-rate simulation under the real-world measure within a Gaussian HJM framework

Takashi Yasuoka

doi:10.1080/21649502.2014.995213

Interest-rate simulation under the real-world measure within a Gaussian HJM framework

Takashi Yasuoka

Research output: Contribution to journal › Article

Abstract

This paper studies an interest-rate simulation for risk management under the real-world measure. First, this paper proposes a method to estimate the market price of risk from historical data in a Gaussian Heath, Jarrow, and Morton framework. Next, properties of the simulation are examined in connection with historical data. Finally, the market price of risk is roughly interpreted in regard to the historical change in interest rates. These results are explained through numerical examples.

Original language	English
Number of pages	7
Journal	Quantitative Finance Letters
Volume	3
Issue number	1
DOIs	https://doi.org/10.1080/21649502.2014.995213 https://doi.org/10.1080/21649502.2014.995213
Publication status	Published - 2015 Jan 15

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Keywords

Interest-rate risk assessment,
Interest-rate simulation
Market price of risk
Gaussian HJM model

ASJC Scopus subject areas

Economics, Econometrics and Finance(all)

Cite this

Yasuoka, T. (2015). Interest-rate simulation under the real-world measure within a Gaussian HJM framework. Quantitative Finance Letters, 3(1). https://doi.org/10.1080/21649502.2014.995213, https://doi.org/10.1080/21649502.2014.995213

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Interest-rate simulation under the real-world measure within a Gaussian HJM framework

Abstract

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Keywords

ASJC Scopus subject areas

Cite this

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