Did option traders predict the crash from the volatility skewness?Evidence in Taiwan and U.S. markets.

碩士 === 朝陽科技大學 === 財務金融系碩士班 === 96 === A priori one would expect stock market returns to show a left-skewed distribution: as the market falls, so it becomes more volatile. This paper examines how the skewness of the smile changes over time and whether that is either a prediction of market movements o...

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Main Authors: Yu-sheng Lin, 林裕勝
Other Authors: Ruei-Lin Lee
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/21811294484478813027
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spelling ndltd-TW-096CYUT53040472015-11-27T04:04:14Z http://ndltd.ncl.edu.tw/handle/21811294484478813027 Did option traders predict the crash from the volatility skewness?Evidence in Taiwan and U.S. markets. 選擇權交易者是否能以隱含波動偏態預測危機?以台灣和美國市場為例 Yu-sheng Lin 林裕勝 碩士 朝陽科技大學 財務金融系碩士班 96 A priori one would expect stock market returns to show a left-skewed distribution: as the market falls, so it becomes more volatile. This paper examines how the skewness of the smile changes over time and whether that is either a prediction of market movements or reflects past movements. We use out-of-the-money calls and puts to measure the skewness and compare it in the U.S. before and after the subprime crisis with Taiwan. Our finding suggests a left-skewed distribution for both two markets. After the crisis, the impact of skewness on return is negative in the U.S. market but positive in Taiwan. It implies that U.S. traders became more pessimistic after the crisis, increasing the degree of leftskewness of the smile, but traders in Taiwan were more optimistic and in the short-term reacted to the crisis by slightly increasing the rightskewness of the smile. In addition, after the crisis, there are feedbacks of skewness and return in both two markets. On the other hand, the U.S. stock market causes the Taiwan stock market, suggesting the spillover effect and contagion effect. Ruei-Lin Lee 李瑞琳 2008 學位論文 ; thesis 69 zh-TW
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language zh-TW
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description 碩士 === 朝陽科技大學 === 財務金融系碩士班 === 96 === A priori one would expect stock market returns to show a left-skewed distribution: as the market falls, so it becomes more volatile. This paper examines how the skewness of the smile changes over time and whether that is either a prediction of market movements or reflects past movements. We use out-of-the-money calls and puts to measure the skewness and compare it in the U.S. before and after the subprime crisis with Taiwan. Our finding suggests a left-skewed distribution for both two markets. After the crisis, the impact of skewness on return is negative in the U.S. market but positive in Taiwan. It implies that U.S. traders became more pessimistic after the crisis, increasing the degree of leftskewness of the smile, but traders in Taiwan were more optimistic and in the short-term reacted to the crisis by slightly increasing the rightskewness of the smile. In addition, after the crisis, there are feedbacks of skewness and return in both two markets. On the other hand, the U.S. stock market causes the Taiwan stock market, suggesting the spillover effect and contagion effect.
author2 Ruei-Lin Lee
author_facet Ruei-Lin Lee
Yu-sheng Lin
林裕勝
author Yu-sheng Lin
林裕勝
spellingShingle Yu-sheng Lin
林裕勝
Did option traders predict the crash from the volatility skewness?Evidence in Taiwan and U.S. markets.
author_sort Yu-sheng Lin
title Did option traders predict the crash from the volatility skewness?Evidence in Taiwan and U.S. markets.
title_short Did option traders predict the crash from the volatility skewness?Evidence in Taiwan and U.S. markets.
title_full Did option traders predict the crash from the volatility skewness?Evidence in Taiwan and U.S. markets.
title_fullStr Did option traders predict the crash from the volatility skewness?Evidence in Taiwan and U.S. markets.
title_full_unstemmed Did option traders predict the crash from the volatility skewness?Evidence in Taiwan and U.S. markets.
title_sort did option traders predict the crash from the volatility skewness?evidence in taiwan and u.s. markets.
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/21811294484478813027
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