The Empirical Analysis of Volatility Smile in Taiwan Options Market

碩士 === 國立中山大學 === 財務管理學系研究所 === 101 === In this study, we use the regression by Pena (1999) as theoretical implied volatility estimation, and assuming three variables : “The number of days”, ”Volume” and “Spread” as main variables. The real implied volatility as a dependent variable regression model...

Full description

Bibliographic Details
Main Authors: Jia-Syun Li, 李佳勳
Other Authors: Jen-Tsung Huang
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/73957138142364527309
id ndltd-TW-101NSYS5305012
record_format oai_dc
spelling ndltd-TW-101NSYS53050122015-10-13T22:40:31Z http://ndltd.ncl.edu.tw/handle/73957138142364527309 The Empirical Analysis of Volatility Smile in Taiwan Options Market 微笑曲線交易策略實證分析 – 以台灣加權股價指數選擇權為例 Jia-Syun Li 李佳勳 碩士 國立中山大學 財務管理學系研究所 101 In this study, we use the regression by Pena (1999) as theoretical implied volatility estimation, and assuming three variables : “The number of days”, ”Volume” and “Spread” as main variables. The real implied volatility as a dependent variable regression model is estimated by the Black model. We use the daily data of Taiwan Stock Index Options as trading objectives. Finally we use the theoretical implied volatility theoretical to get the theoretical price and take buy low and sell high price strategy to observe the average return changes of three different variables value. The result of call, we find that the number of days has negative relationship with average return. And the period of monthly data (21 days) has the best average returns; Volume has a positive relationship with average return, but more than the threshold 1500 is not; Spreads is not significant relationship. After consideration of dynamic hedging, the number of days still remain a negative relationship with average return; Volume sensitivity direction is reversed; Spreads sensitivity and significance are increasing. The result of put, the spread and he number of days conclusion similar to the call analysis both have negative relationship with average return, but do not present a significant impact; Volume is only significant variable with average returns but more than the threshold 1500 the impact is not significant. After dynamic hedging, all results similar the call conclusion, but hedge profitability is poor, making the average return after hedging decline. Most winning rate less than 50%, is that strategies for capturing market volatility in poor market condition is not well, resulting in low winning rate. Jen-Tsung Huang Chou-Wen Wang 黃振聰 王昭文 2013 學位論文 ; thesis 81 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立中山大學 === 財務管理學系研究所 === 101 === In this study, we use the regression by Pena (1999) as theoretical implied volatility estimation, and assuming three variables : “The number of days”, ”Volume” and “Spread” as main variables. The real implied volatility as a dependent variable regression model is estimated by the Black model. We use the daily data of Taiwan Stock Index Options as trading objectives. Finally we use the theoretical implied volatility theoretical to get the theoretical price and take buy low and sell high price strategy to observe the average return changes of three different variables value. The result of call, we find that the number of days has negative relationship with average return. And the period of monthly data (21 days) has the best average returns; Volume has a positive relationship with average return, but more than the threshold 1500 is not; Spreads is not significant relationship. After consideration of dynamic hedging, the number of days still remain a negative relationship with average return; Volume sensitivity direction is reversed; Spreads sensitivity and significance are increasing. The result of put, the spread and he number of days conclusion similar to the call analysis both have negative relationship with average return, but do not present a significant impact; Volume is only significant variable with average returns but more than the threshold 1500 the impact is not significant. After dynamic hedging, all results similar the call conclusion, but hedge profitability is poor, making the average return after hedging decline. Most winning rate less than 50%, is that strategies for capturing market volatility in poor market condition is not well, resulting in low winning rate.
author2 Jen-Tsung Huang
author_facet Jen-Tsung Huang
Jia-Syun Li
李佳勳
author Jia-Syun Li
李佳勳
spellingShingle Jia-Syun Li
李佳勳
The Empirical Analysis of Volatility Smile in Taiwan Options Market
author_sort Jia-Syun Li
title The Empirical Analysis of Volatility Smile in Taiwan Options Market
title_short The Empirical Analysis of Volatility Smile in Taiwan Options Market
title_full The Empirical Analysis of Volatility Smile in Taiwan Options Market
title_fullStr The Empirical Analysis of Volatility Smile in Taiwan Options Market
title_full_unstemmed The Empirical Analysis of Volatility Smile in Taiwan Options Market
title_sort empirical analysis of volatility smile in taiwan options market
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/73957138142364527309
work_keys_str_mv AT jiasyunli theempiricalanalysisofvolatilitysmileintaiwanoptionsmarket
AT lǐjiāxūn theempiricalanalysisofvolatilitysmileintaiwanoptionsmarket
AT jiasyunli wēixiàoqūxiànjiāoyìcèlüèshízhèngfēnxīyǐtáiwānjiāquángǔjiàzhǐshùxuǎnzéquánwèilì
AT lǐjiāxūn wēixiàoqūxiànjiāoyìcèlüèshízhèngfēnxīyǐtáiwānjiāquángǔjiàzhǐshùxuǎnzéquánwèilì
AT jiasyunli empiricalanalysisofvolatilitysmileintaiwanoptionsmarket
AT lǐjiāxūn empiricalanalysisofvolatilitysmileintaiwanoptionsmarket
_version_ 1718079558940360704