Measuring foreign exchange exposure by using quantile regressions

碩士 === 銘傳大學 === 國際企業學系碩士班 === 99 === Foreign exchange exposure is defined as exchange rate movements affect the value of firms. Many financial literatures and models indicate that exchange rate fluctuations have a significant impact on firm value, but numerous empirical results show a low proportion...

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Main Authors: Wan-Ping Lo, 羅婉萍
Other Authors: Tzu-Ping Ho
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/00430365494143850264
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spelling ndltd-TW-099MCU053210122015-10-13T20:46:54Z http://ndltd.ncl.edu.tw/handle/00430365494143850264 Measuring foreign exchange exposure by using quantile regressions 外匯曝險曝露與衡量─分量迴歸之應用 Wan-Ping Lo 羅婉萍 碩士 銘傳大學 國際企業學系碩士班 99 Foreign exchange exposure is defined as exchange rate movements affect the value of firms. Many financial literatures and models indicate that exchange rate fluctuations have a significant impact on firm value, but numerous empirical results show a low proportion of companies are significantly exposed to exchange rate risk. In order to improve exchange rate exposure significant ratio, this study attempts to adapt quantile regression to study foreign exchange exposure. This study choose Taiwan public common stock list from 1990/07-2010/06. The empirical results indicated that quantile regression can capture foreign exchange exposure impact on stock returns. Non-electronics industry have higher foreign exchange exposure rate, it is higher electronics industry. And the stock return of most non-electronics industry are significant and negative. Tzu-Ping Ho 何祖平 2011 學位論文 ; thesis 75 zh-TW
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language zh-TW
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description 碩士 === 銘傳大學 === 國際企業學系碩士班 === 99 === Foreign exchange exposure is defined as exchange rate movements affect the value of firms. Many financial literatures and models indicate that exchange rate fluctuations have a significant impact on firm value, but numerous empirical results show a low proportion of companies are significantly exposed to exchange rate risk. In order to improve exchange rate exposure significant ratio, this study attempts to adapt quantile regression to study foreign exchange exposure. This study choose Taiwan public common stock list from 1990/07-2010/06. The empirical results indicated that quantile regression can capture foreign exchange exposure impact on stock returns. Non-electronics industry have higher foreign exchange exposure rate, it is higher electronics industry. And the stock return of most non-electronics industry are significant and negative.
author2 Tzu-Ping Ho
author_facet Tzu-Ping Ho
Wan-Ping Lo
羅婉萍
author Wan-Ping Lo
羅婉萍
spellingShingle Wan-Ping Lo
羅婉萍
Measuring foreign exchange exposure by using quantile regressions
author_sort Wan-Ping Lo
title Measuring foreign exchange exposure by using quantile regressions
title_short Measuring foreign exchange exposure by using quantile regressions
title_full Measuring foreign exchange exposure by using quantile regressions
title_fullStr Measuring foreign exchange exposure by using quantile regressions
title_full_unstemmed Measuring foreign exchange exposure by using quantile regressions
title_sort measuring foreign exchange exposure by using quantile regressions
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/00430365494143850264
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