Mean Reversion in Stock markets: Band-TAR Model

碩士 === 國立臺北大學 === 經濟學系 === 96 === Detecting mean reversion is in order to evidence market inefficiency. Many studies about mean reversion are in terms of Summers’ (1986) idea-stock price is composed of random walk and stationary components. They suggest that mean reversion is due to contrarian inves...

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Main Authors: LIU,HSIN-TZU, 劉欣姿
Other Authors: CHEN,CHUNCHIH
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/96363961517460562303
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spelling ndltd-TW-096NTPU03890322015-11-30T04:02:51Z http://ndltd.ncl.edu.tw/handle/96363961517460562303 Mean Reversion in Stock markets: Band-TAR Model 以Band-TAR模型探討股價指數是否存在均數回復現象 LIU,HSIN-TZU 劉欣姿 碩士 國立臺北大學 經濟學系 96 Detecting mean reversion is in order to evidence market inefficiency. Many studies about mean reversion are in terms of Summers’ (1986) idea-stock price is composed of random walk and stationary components. They suggest that mean reversion is due to contrarian investment strategy while stock price’s overreaction temporarily. However, they don’t import transaction cost and bands of inaction for mean reversion. This article applies the Band-TAR model by Obstfeld and Taylor(1997) to study mean reversion in stock markets over the 1971-2007 period -including Taiwan, Korea, Singapore, Hong Kong, United States, Japan, Thailand. Using Band-TAR model, we can find mean reversion and bands of inaction in Taiwan, Korea, Singapore, and Thailand. This result isn’t found in AR (1) model. Further study for predictability of stock price, we compare Band-TAR, AR (1) and Random walk without draft model in predictive accuracy. The in-sample period is 1971 to 1999 and out-of-sample period is 2000 to 2007. We utilize “Modified Diebold-Mariano test” by Harvey,Leybourne and Newbold (1997) and “nested model test” by Clark and West (2006). CHEN,CHUNCHIH Hsiao ,Wen-Tzong 陳俊志 蕭文宗 2008 學位論文 ; thesis 54 zh-TW
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description 碩士 === 國立臺北大學 === 經濟學系 === 96 === Detecting mean reversion is in order to evidence market inefficiency. Many studies about mean reversion are in terms of Summers’ (1986) idea-stock price is composed of random walk and stationary components. They suggest that mean reversion is due to contrarian investment strategy while stock price’s overreaction temporarily. However, they don’t import transaction cost and bands of inaction for mean reversion. This article applies the Band-TAR model by Obstfeld and Taylor(1997) to study mean reversion in stock markets over the 1971-2007 period -including Taiwan, Korea, Singapore, Hong Kong, United States, Japan, Thailand. Using Band-TAR model, we can find mean reversion and bands of inaction in Taiwan, Korea, Singapore, and Thailand. This result isn’t found in AR (1) model. Further study for predictability of stock price, we compare Band-TAR, AR (1) and Random walk without draft model in predictive accuracy. The in-sample period is 1971 to 1999 and out-of-sample period is 2000 to 2007. We utilize “Modified Diebold-Mariano test” by Harvey,Leybourne and Newbold (1997) and “nested model test” by Clark and West (2006).
author2 CHEN,CHUNCHIH
author_facet CHEN,CHUNCHIH
LIU,HSIN-TZU
劉欣姿
author LIU,HSIN-TZU
劉欣姿
spellingShingle LIU,HSIN-TZU
劉欣姿
Mean Reversion in Stock markets: Band-TAR Model
author_sort LIU,HSIN-TZU
title Mean Reversion in Stock markets: Band-TAR Model
title_short Mean Reversion in Stock markets: Band-TAR Model
title_full Mean Reversion in Stock markets: Band-TAR Model
title_fullStr Mean Reversion in Stock markets: Band-TAR Model
title_full_unstemmed Mean Reversion in Stock markets: Band-TAR Model
title_sort mean reversion in stock markets: band-tar model
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/96363961517460562303
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