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研究生: 林琮偉
Lin, Tsung Wei
論文名稱: 跳躍相關風險下狀態轉換模型之選擇權定價:股價指數選擇權實證分析
Option pricing of a stock index under regime switching model with dependent jump size risks: empirical analysis of the stock index option
指導教授: 劉惠美
Liu, Hui Mei
林士貴
Lin, Shih Kuei
學位類別: 碩士
Master
系所名稱: 商學院 - 統計學系
Department of Statistics
論文出版年: 2012
畢業學年度: 100
語文別: 中文
論文頁數: 50
中文關鍵詞: Esscher轉換跳躍相關風險下狀態轉換模型EM演算法概似比檢定敏感度分析定價誤差
外文關鍵詞: Esscher transformation, regime switching model with dependent jump model, EM algorithm, likelihood ratio test, sensitivity analysis, pricing error
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  • 本文使用Esscher轉換法推導狀態轉換模型、跳躍獨立風險下狀狀態轉換模型及跳躍相關風險下狀態轉換模型的選擇權定價公式。藉由1999年至2011年道瓊工業指數真實市場資料使用EM演算法估計模型參數並使用概似比檢定得到跳躍相關風險下狀態轉換模型最適合描述報酬率資料。接著進行敏感度分析得知,高波動狀態的機率、報酬率的整體波動度及跳躍頻率三者與買權呈現正相關。最後由市場驗證可知,跳躍相關風險下狀態轉換模型在價平及價外的定價誤差皆是最小,在價平的定價誤差則略高於跳躍獨立風險下狀態轉換模型。


    In this paper, we derive regime switching model, regime switching model with independent jump and regime switching model with dependent jump by Esscher transformation. We use the data from 1999 to 2011 Dow-Jones industrial average index market price to estimate the parameter by EM algorithm. Then we use likelihood ratio test to obtain that regime switching model with dependent jump is the best model to depict return data. Moreover, we do sensitivity analysis and find the result that the probability of the higher volatility state , the overall volatility of rate of return , and the jump frequency are positively correlated with call option value. Finally, we enhance the empirical value of regime switching model with dependent jump by means of calculating the price error.

    第一章 前言 1
    第二章 文獻回顧 3
    2.1 股價指數報酬率模型 3
    2.2 Esscher測度轉換 5
    第三章 股價指數報酬率模型 7
    3.1 狀態轉換模型 7
    3.2 跳躍獨立風險下狀態轉換模型 7
    3.3 跳躍相關風險下狀態轉換模型 8
    3.4 模型參數估計與檢定 9
    第四章 股價指數選擇權定價 11
    4.1 Esscher測度轉換 11
    4.1.1. 狀態轉換模型之Esscher測度轉換 11
    4.1.2. 跳躍獨立風險下狀態轉換模型之Esscher測度轉換 12
    4.1.3. 跳躍相關風險下狀態轉換模型之Esscher測度轉換 13
    4.2. 股價指數選擇權定價 16
    4.2.1. 狀態轉換模型之股價指數選擇權定價 16
    4.2.2. 跳躍獨立風險下狀態轉換模型之股價指數選擇權定價 17
    4.2.3. 跳躍相關風險下狀態轉換模型之股價指數選擇權定價 18
    第五章 實證分析 20
    5.1. 模型參數估計 20
    5.2. 敏感度分析 22
    5.3. 市場驗證 24
    第六章 結論 25
    中文文獻 26
    附錄A:狀態轉換模型之歐式買權定價公式 28
    附錄B:跳躍獨立風險下狀態轉換模型之歐式買權定價公式 34
    附錄C:跳躍相關風險下狀態轉換模型之歐式買權定價公式 41

    中文文獻
    [1] 汪昱頡,(2008)。跳躍風險下馬可夫轉換模型之實證分析,高雄大學統計研究所碩士論文。
    [2] 徐于琇,(2008)。跳躍風險下狀態轉換模型下SEM演算法及Gibbs Sampling之參數變異數估計,高雄大學統計研究所碩士論文。
    [3] 黃慈慧,(2011)。跳躍相關風險下狀態轉換模型之股價指數實證分析,國立政治大學統計學系碩士論文。
    英文文獻
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    [13] Liew, C. C., and Siu, T. K., (2010). “A hidden Markov regime-switching model for option valuation,” Insurance: Mathematics and Economics, Vol. 47, 374–384.
    [14] Lin, S. K., Lin, C. S., and Chou, C. Y., (2010). “A recursive formula of a participating contract embedding a surrender option under regime-switching model with jump risks: evidence from stock indices.” working paper.
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