博碩士論文 101225008 完整後設資料紀錄

DC 欄位 語言
DC.contributor統計研究所zh_TW
DC.creator王聖翔zh_TW
DC.creatorWang Sheng-Xiangen_US
dc.date.accessioned2014-6-25T07:39:07Z
dc.date.available2014-6-25T07:39:07Z
dc.date.issued2014
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=101225008
dc.contributor.department統計研究所zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract根據經驗的證據顯示,一些Levy過程提供了比Black-Scholes models更好的期權價格市場模型。Greeks是金融衍生性商品的價格敏感度和避險指標與風險管理的指標。要計算Levy過程下的Greeks是一個極具挑戰性的任務。為了克服這個困難,本文提出了一種直接計算的方法來計算Greeks。簡要地說,我們的方法是在指定的條件下來交換微分和積分的順序,並使用Dirac delta函數來表示指標函數的微分。並給出了在Merton′s model和variance-gamma process下計算歐式和亞式選擇權deltas、vegas、gammas的例子。數值結果證實了該方法在不偏性、效率和時間上優於現有的方法。zh_TW
dc.description.abstractEmpirical evidence has shown that some Levy processes provide a better model t for market option prices compared with the Black-Scholes models. Greeks are price sensitivities of financial derivatives and are essential for hedging and risk management. To calculate the Greeks under Levy process is a challenging task. To overcome this difficulty, this paper proposes a direct method for calculating the Greeks. Briefly speaking, our method identifi es conditions to switch the order of integration and differentiation, and use the differentiation of an indicator function via the Dirac delta function. Explicit examples for calculating deltas, vegas, and gammas of European and Asian options under Merton′s model and the variance-gamma process are given. Numerical results con rm that the proposed method outperforms existing methods in terms of unbiasedness, efficiency, and time.en_US
DC.subjectGreekszh_TW
DC.subject價格敏感度zh_TW
DC.subject新興選擇權zh_TW
DC.subjectLzh_TW
DC.subjectpathwise methodzh_TW
DC.subject蒙地卡羅模擬zh_TW
DC.subjectGreeksen_US
DC.subjectprice sensitivitiesen_US
DC.subjectexotic optionsen_US
DC.subjectLen_US
DC.subjectpathwise methoden_US
DC.subjectMonte Carlo simulationen_US
DC.titleA direct method for calculating Greeks under some Len_US
dc.language.isoen_USen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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