The Impacts of Central Bank's Transparency on Stock Market Volatility: International Evidence
碩士 === 南華大學 === 財務金融學系財務管理碩士班 === 105 === Based on the annual data on the volatility of stock market returns in Asia (including Hong Kong, Japan, Singapore, China, India, South Korea, Philippines, and Thailand) from 1998 to 2014, the maximum approximate estimation method Maximum Likelihood Estimat...
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ndltd-TW-105NHU003040122019-05-15T23:24:32Z http://ndltd.ncl.edu.tw/handle/3ku2xq The Impacts of Central Bank's Transparency on Stock Market Volatility: International Evidence 中央銀行透明度對股票市場的波動影響之全球實證分析 CHEN, BO-YU 陳泊羽 碩士 南華大學 財務金融學系財務管理碩士班 105 Based on the annual data on the volatility of stock market returns in Asia (including Hong Kong, Japan, Singapore, China, India, South Korea, Philippines, and Thailand) from 1998 to 2014, the maximum approximate estimation method Maximum Likelihood Estimation (MLE) is used to estimate the effect of the transparency of the central bank on the volatility of the stock market. The empirical results show that the higher the transparency of the central bank of the Asian countries, the more significant declining in the stock market volatility. Moreover, the higher stock market turnover and stock market capitalization over GDP ratio have the significant increase in the stock market volatility. However, the higher the market capitalization of the stock market and the higher the number of listed companies in the stock market cause the significant reduction in the stock market volatility. In addition, the impact of the individual central bank transparency index on the volatility of stock market returns is negative and significant, which is consistent with overall effects. CHEN, SHENG-HUNG 陳昇鴻 2017 學位論文 ; thesis 26 zh-TW |
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Others
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碩士 === 南華大學 === 財務金融學系財務管理碩士班 === 105 === Based on the annual data on the volatility of stock market returns in Asia (including Hong Kong, Japan, Singapore, China, India, South Korea, Philippines, and Thailand) from 1998 to 2014, the maximum approximate estimation method Maximum Likelihood Estimation (MLE) is used to estimate the effect of the transparency of the central bank on the volatility of the stock market. The empirical results show that the higher the transparency of the central bank of the Asian countries, the more significant declining in the stock market volatility. Moreover, the higher stock market turnover and stock market capitalization over GDP ratio have the significant increase in the stock market volatility. However, the higher the market capitalization of the stock market and the higher the number of listed companies in the stock market cause the significant reduction in the stock market volatility. In addition, the impact of the individual central bank transparency index on the volatility of stock market returns is negative and significant, which is consistent with overall effects.
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author2 |
CHEN, SHENG-HUNG |
author_facet |
CHEN, SHENG-HUNG CHEN, BO-YU 陳泊羽 |
author |
CHEN, BO-YU 陳泊羽 |
spellingShingle |
CHEN, BO-YU 陳泊羽 The Impacts of Central Bank's Transparency on Stock Market Volatility: International Evidence |
author_sort |
CHEN, BO-YU |
title |
The Impacts of Central Bank's Transparency on Stock Market Volatility: International Evidence |
title_short |
The Impacts of Central Bank's Transparency on Stock Market Volatility: International Evidence |
title_full |
The Impacts of Central Bank's Transparency on Stock Market Volatility: International Evidence |
title_fullStr |
The Impacts of Central Bank's Transparency on Stock Market Volatility: International Evidence |
title_full_unstemmed |
The Impacts of Central Bank's Transparency on Stock Market Volatility: International Evidence |
title_sort |
impacts of central bank's transparency on stock market volatility: international evidence |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/3ku2xq |
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