Investigating the Predictive Power of Macroeconomic Variableson Stock Market: The Case of Taiwan
碩士 === 國立臺灣大學 === 經濟學研究所 === 100 === The aim of this paper is to investigate the predictive power of macroeco- nomic variables on Taiwan stock market. The study covers the period from 1971.1 to 2011.12, using Markov-Switching model to identify the bear and bull stock market, finding that term sp...
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ndltd-TW-100NTU053890612015-10-13T21:50:18Z http://ndltd.ncl.edu.tw/handle/84340590327601815870 Investigating the Predictive Power of Macroeconomic Variableson Stock Market: The Case of Taiwan 檢視總體經濟變數對台灣股票市場之預測力 Yun-Tzu Ku 顧芸慈 碩士 國立臺灣大學 經濟學研究所 100 The aim of this paper is to investigate the predictive power of macroeco- nomic variables on Taiwan stock market. The study covers the period from 1971.1 to 2011.12, using Markov-Switching model to identify the bear and bull stock market, finding that term spread(TS), inflation rate(IR), indexes of industrial production-manufacturing index annual growth rate(IPIMIG), M1B annual growth rate(M1BG), changes in exchange rate(DEX), and changes in public debt(DPD) have different in-sample and out-of-sample predictive powers at one to 24-month-ahead horizon. It’s noteworthy that changes in public debt and monetary policy shock have more impact on Taiwan stock market. Moreover, this paper shows that macroeconomic variables have better performance in predicting bear stock market than predicting stock return. In the robustness check, employing multivariate models show that pre- dictive power may change in different sample period. Finally, this paper also conducts a market-timing strategy, and finding that it outperforms buy-and-hold strategy. According to the aforementioned, we can find the characteristics of small open economy in Taiwan stock market, and the authorities still play a role in it. 陳旭昇 2012 學位論文 ; thesis 40 zh-TW |
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碩士 === 國立臺灣大學 === 經濟學研究所 === 100 === The aim of this paper is to investigate the predictive power of macroeco-
nomic variables on Taiwan stock market. The study covers the period from
1971.1 to 2011.12, using Markov-Switching model to identify the bear and
bull stock market, finding that term spread(TS), inflation rate(IR), indexes
of industrial production-manufacturing index annual growth rate(IPIMIG),
M1B annual growth rate(M1BG), changes in exchange rate(DEX), and
changes in public debt(DPD) have different in-sample and out-of-sample
predictive powers at one to 24-month-ahead horizon. It’s noteworthy that
changes in public debt and monetary policy shock have more impact on
Taiwan stock market.
Moreover, this paper shows that macroeconomic variables have better
performance in predicting bear stock market than predicting stock return.
In the robustness check, employing multivariate models show that pre-
dictive power may change in different sample period. Finally, this paper
also conducts a market-timing strategy, and finding that it outperforms
buy-and-hold strategy.
According to the aforementioned, we can find the characteristics of
small open economy in Taiwan stock market, and the authorities still play
a role in it.
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author2 |
陳旭昇 |
author_facet |
陳旭昇 Yun-Tzu Ku 顧芸慈 |
author |
Yun-Tzu Ku 顧芸慈 |
spellingShingle |
Yun-Tzu Ku 顧芸慈 Investigating the Predictive Power of Macroeconomic Variableson Stock Market: The Case of Taiwan |
author_sort |
Yun-Tzu Ku |
title |
Investigating the Predictive Power of Macroeconomic Variableson Stock Market: The Case of Taiwan |
title_short |
Investigating the Predictive Power of Macroeconomic Variableson Stock Market: The Case of Taiwan |
title_full |
Investigating the Predictive Power of Macroeconomic Variableson Stock Market: The Case of Taiwan |
title_fullStr |
Investigating the Predictive Power of Macroeconomic Variableson Stock Market: The Case of Taiwan |
title_full_unstemmed |
Investigating the Predictive Power of Macroeconomic Variableson Stock Market: The Case of Taiwan |
title_sort |
investigating the predictive power of macroeconomic variableson stock market: the case of taiwan |
publishDate |
2012 |
url |
http://ndltd.ncl.edu.tw/handle/84340590327601815870 |
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