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 languageEnglish
    Number of pages7
    JournalQuantitative Finance Letters
    Volume3
    Issue number1
    DOIs
    Publication statusPublished - 2015 Jan 15

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    Interest rates
    Simulation
    Market price of risk
    Risk management

    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

    Interest-rate simulation under the real-world measure within a Gaussian HJM framework. / Yasuoka, Takashi.

    In: Quantitative Finance Letters, Vol. 3, No. 1, 15.01.2015.

    Research output: Contribution to journal › Article

    Yasuoka, T 2015, 'Interest-rate simulation under the real-world measure within a Gaussian HJM framework', Quantitative Finance Letters, vol. 3, no. 1. https://doi.org/10.1080/21649502.2014.995213, https://doi.org/10.1080/21649502.2014.995213
    Yasuoka T. Interest-rate simulation under the real-world measure within a Gaussian HJM framework. Quantitative Finance Letters. 2015 Jan 15;3(1). https://doi.org/10.1080/21649502.2014.995213, https://doi.org/10.1080/21649502.2014.995213
    Yasuoka, Takashi. / Interest-rate simulation under the real-world measure within a Gaussian HJM framework. In: Quantitative Finance Letters. 2015 ; Vol. 3, No. 1.
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