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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/31620

    Title: 無模型設定隱含波動度之誤差分析-以臺股指數選擇權
    Other Titles: Error analysis of model-free implied volatility-use txo
    Authors: 林旅仲;Lin, Lu-chung
    Contributors: 淡江大學財務金融學系碩士班
    林允永;Lin, Yun-yung;李進生;Lee, Chin-shen
    Keywords: 無模型設定隱含波動度;Black-Scholes模型;Model-free Implied Volatility;Black-Scholes model
    Date: 2008
    Issue Date: 2010-01-11 01:03:40 (UTC+8)
    Abstract: 有鑒於目前市場大都以Black-Scholes隱含波動度作為探討波動度的主要工具,而根據Jiang and Tian(2005)在服從跳躍擴散過程(jump-diffusion process)下所提出的無模型設定隱含波動度(model-free implied volatility)的觀念,進一步探討無模型設定隱含波動度與Black-Scholes隱含波動度在台灣指數選擇權上的波動度的差異,並且了解樣本內,兩種隱含波動度以Black-Scholes反推出的估計選擇權價格與真實選擇權價格的差異。另外比較樣本外與樣本內兩種模型有無變化。
    In recent years, Black-Scholes Implied Volatility has become the most famous tool in volatility researching. According to the idea of model-free implied volatility with jump-diffusion process that proposed by Jiang and Tian(2005), I prefer to know the difference between model-free and Black-Scholes Implied Volatility in TXO. More further, I compare in sample performance of two implied volatilities using Black-Scholes option pricing formula. Otherwise, I would like to know how pricing error going between in sample and out–of–sample.
    Although empirical result shows these two implied volatilities has high correlation, there are distinct discrepancy in error test. No mater in or out-of-sample, Black-Scholes model has better performance in error test. In error test, in sample of model-free model is not exactly better than out-of-sample. But, in sample of Black-Sholes model is exactly better than out of sample.
    Appears in Collections:[財務金融學系暨研究所] 學位論文

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