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研究生: 黃騰進
TENG-CHING HUANG
論文名稱: 波動度之預測與選擇權市場資訊交易者的資訊意涵
Predicting volatility and the information content of informed trader in option market
指導教授: 林丙輝
Bing-Huei Lin
劉代洋
Day-Yang Liu
口試委員: 洪茂蔚
Mao-Wei Hung
張傳章
Chuang-Chang Chang
莊文議
Wen-I Chuang
林孟彥
Tom M. Y. Lin
王之彥
Jr-Yan Wang
學位類別: 博士
Doctor
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2012
畢業學年度: 100
語文別: 英文
論文頁數: 70
中文關鍵詞: MSM model隱含波動度全球金融危機價格發現市場深度買賣價差
外文關鍵詞: market depth, MSM model
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  • 本論文主要是由兩篇論文所組成,分別為Chapter 1的 Predicting Volatility Using Markov Switching Multifractal Model: Evidence from S&P 100 Index and Equity Options 與 Chapter 2的 The Information content of informed trader in option market:Evidence from the Taiwan index option market. 茲分別摘要如下:Chapter 1 我們以S&P100 的指數選擇權與個股選擇權來估計MSM (Markov Switching Multifractal)、隱含波動度 (implied volatility)、GARCH與歷史波動度 (historical volatility) 對實現波動度 (realized volatility) 預測能力的表現。一些重要的發現如下:第一,我們發現在S&P100 的指數選擇權與個股選擇權,MSM與GARCH 波動度對實現波動度的預測能力較隱含波動度與歷史波動度佳;第二,個股選擇權較指數選擇權難以預測;第三,兩個市場在非全球金融風暴期間較處於全球金融風暴期間有較好的預測能力;第四,個股選擇權的波動度與股票和選擇權的特性有關,而且MSM與隱含波動度的預測能力受到股票與選擇權的特性的影響;最後,我們發現MSM在股票選擇權,對實現波動度的預測能力較隱含波動度佳。
    在本論文的Chapter 2,我們檢定了隱含波動度與實現波動度之間的誤差是否與選擇權價格發現有關?有一些重要的發現分別陳述如下:第一,我們發現在日資料與日內資料的分析,選擇權市場的價格發現都與估計的波動度對實現波動度的預測效率有關;第二,在台灣指數選擇權市場,買權與價內選擇權的價格發現能力較佳;最後,流動性變數,例如delta market depth 與 percentage bid-ask spread,在日資料與日內資料的研究中,發現他們也都會影響波動度與實現波動度之間的誤差結果。


    In Chapter 1, we evaluate the performance of the ability of Markov-switching multifractal (MSM), implied, GARCH, and historical volatilities to predict realized volatility for both the S&P 100 index and equity options. Some important findings are as follows. First, we find that the ability of MSM and GARCH volatilities to predict realized volatility is better than that of implied and historical volatilities for both the index and equity options. Second, equity option volatility is more difficult to be forecast than index option volatility. Third, both index and equity option volatilities can be better forecast during non-global financial crisis periods than during global financial crisis periods. Fourth, equity option volatility exhibits distinct patterns conditional on various equity and option characteristics and its predictability by MSM and implied volatilities depends on these characteristics. And finally, we find that MSM volatility outperforms implied volatility in predicting equity option volatility conditional on various equity and option characteristics.
    In Chapter 2, In this paper, we examine whether the biases of implied volatility regarding the realized volatility is related to the value of option market price discovery. Some important findings are as follows. First, we find the level of option market price discovery could contribute the predictive efficiency of the volatility measure about the realized volatility for daily and intraday data. Second, the call options and in-the-moneyness categories options have greater value of option market price discovery than other options in Taiwan index options. Finally, the liquidity measure, such as delta market depth and percentage bid-ask spread, are also correlated with the biases of volatility measure about the realized volatility for daily and intraday data on call and put options.

    目 錄 中文摘要 ---------------------------------------------------------------------------------------------III 英文摘要----------------------------------------------------------------------------------------------IV 誌  謝----------------------------------------------------------------------------------------------V 表目錄-------------------------------------------------------------------------------------------------VIII Chapter 1 Predicting Volatility Using Markov Switching Multifractal Model: Evidence from S&P 100 Index and Equity Options 1.1 Introduction --------------------------------------------------------------------------------------1 1.2 Data description----------------------------------------------------------------------------------4 1.3 Volatility measures-------------------------------------------------------------------------------6 1.3.1 Realized and historical volatilities ---------------------------------------------------6 1.3.2 Implied volatility -----------------------------------------------------------------------7 1.3.3 GARCH model --------------------------------------------------------------------------8 1.3.4 MSM model ----------------------------------------------------------------------------10 1.4 Regression analysis and forecast error -------------------------------------------------------12 1.4.1 Regression models ---------------------------------------------------------------------12 1.4.2 Measure of forecasting performance ------------------------------------------------14 1.5 Empirical results --------------------------------------------------------------------------------15 1.5.1 Descriptive statistics -------------------------------------------------------------------15 1.5.2 Results of forecasting realized volatility of the index option --------------------17 1.5.3 Results of forecasting realized volatility of the equity options-------------------20 1.5.4 Predictive power conditional on stock and option characteristics---------------23 1.5.4.1 Volatility conditional on stock and option characteristics -----------------23 1.5.4.2 Results of forecasting realized volatility conditional on equity and option characteristics --------------------------------------------28 1.6 Concluding remarks ----------------------------------------------------------------------------33 Chapter 2 The Information content of informed trader in option market:Evidence from the Taiwan index option market 2.1 Introduction --------------------------------------------------------------------------------------35 2.2 Data description----------------------------------------------------------------------------------37 2.3 Methodology -------------------------------------------------------------------------------------38 2.3.1 Realized volatility----------------------------------------------------------------------38 2.3.2 Implied volatility-Black-Scholes model---------------------------------------------39 2.3.3 Gram-Charlier formula ----------------------------------------------------------------39 2.3.4 Information share -----------------------------------------------------------------------40 2.3.5 Proportional effective spread and delta market depth------------------------------43 2.4 Empirical results ---------------------------------------------------------------------------------44 2.4.1 Descriptive statistics --------------------------------------------------------------------44 2.4.2 Information share, model efficiency and market efficiency-----------------------46 2.4.3 Market liquidity and market efficiency----------------------------------------------50 2.4.4 Information share、market liquidity and market efficiency----------------------57 2.5 Concluding remarks -----------------------------------------------------------------------------59 Reference----------------------------------------------------------------------------------------------60 作者簡介----------------------------------------------------------------------------------------------70 授權書-------------------------------------------------------------------------------------------------71

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