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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/64940


    Title: Pricing Risky Securities in Hidden Markov-Modulated Poisson Processes
    Authors: Hung, Y. C.;Lin, Shih-Kuei;Wu, C. W.
    林士貴
    Contributors: 金融系
    Keywords: Markov-modulated poisson processes;Credit risk;Credit derivatives
    Date: 2009.06
    Issue Date: 2014-03-27 10:01:20 (UTC+8)
    Abstract:  This paper makes two contributions to the literature. The first contribution is to investigate how to incorporate Markov-modulated Poisson processes with the reduced-form model to price risky securities. For its application, from the investor`s point of view, since they do not have complete information about the operating condition of the reference entities, this pricing approach allows credit risk modeling when there is dependence between the default characteristics of reference entities and the unobservable status of operating condition. The higher transition rate from a good operating condition with lower default intensity to a bad one with higher default intensity is associated with higher default probability, and vice versa. Using the arbitrage-free valuation techniques, the second contribution of this article is to provide the closed-form pricing formulas for a variety of risky securities such as corporate debts, credit default swaps, credit linked notes, options on risky debts, risky convertible bonds, and the products with default correlations.
    Relation: Advances in Quantitative Analysis of Finance and Accounting,7(7), 95-210
    Data Type: article
    Appears in Collections:[Department of Money and Banking] Periodical Articles

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