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dc.contributor.author張汶傑en_US
dc.contributor.authorChang, Wen-Chiehen_US
dc.contributor.author李漢星en_US
dc.contributor.authorLee, Han-Hsingen_US
dc.date.accessioned2014-12-12T01:42:19Z-
dc.date.available2014-12-12T01:42:19Z-
dc.date.issued2009en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#GT079739531en_US
dc.identifier.urihttp://hdl.handle.net/11536/45664-
dc.description.abstract估計違約風險是定價公司債、交換合約與信用衍生性金融商品的一個關鍵因素。2007年全球金融風暴過後,企業的違約風險更加受到學術界與實務界的重視,特別像是有些公司原本營運狀況良好,卻受到金融風暴影響而突然發生破產危機,因此,如何能夠準確的預測企業的違約風險比以往更受到重視。 本篇研究提出一種新的架構來評價公司證券,以結構性信用風險模型為基礎,加入了巴黎選擇權的架構,並且以跳躍擴散模型 (Kou 2002) 來當作評價公司市場價值的模型,此模型較之前文獻中的模型具有較彈性的參數設定,更符合實證上之需求。此外,我們並改善數值模擬方法以加快數值計算的速度,以此方法來估計公司債價值。zh_TW
dc.description.abstractAfter the worldwide financial crisis in 2007, credit risk of the company is getting vast attention not only from academic but also from people in practice. Specifically, many firms had good rating but suddenly default during the financial crisis. Hence, how to accurately model the default risk of the firm is a much more important issue nowadays. In this paper, we develop a more efficient numerical simulation method to value the corporate risky bond. Our model employs the structural approach for valuing corporate bonds under the double exponential jump diffusion process (Kou 2002). This approach has more flexibility in matching the empirical data than previous models. In addition, to make our model more realistic, we adopt the caution time setting, which is parallel to the Parisian option in option pricing, to model the bond safety covenant.en_US
dc.language.isoen_USen_US
dc.subject巴黎選擇權zh_TW
dc.subject跳躍擴散模型zh_TW
dc.subject蒙地卡羅模擬法zh_TW
dc.subject結構性信用風險模型zh_TW
dc.subjectParisian optionen_US
dc.subjectdouble exponential jump diffusion processen_US
dc.subjectMonte Carlo simulationen_US
dc.subjectstructural credit risk modelen_US
dc.title巴黎選擇權架構與跳躍擴散模型下之公司證券評價zh_TW
dc.titleA Parisian option framework for corporate security valuation under the double exponential jump diffusion processen_US
dc.typeThesisen_US
dc.contributor.department財務金融研究所zh_TW
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