The Prediction of S&P 500 Index Futures
碩士 === 國立中興大學 === 財務金融系所 === 98 === The purpose of this study is to forecast the future trend of stock prices. Using Standard and Poor’s (S&P) 500 index futures as the target, I examine the predictability of two methods on their weekly trends. The two methods are based on fundamental and technic...
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ndltd-TW-098NCHU53040082015-10-30T04:05:02Z http://ndltd.ncl.edu.tw/handle/72686898933163021251 The Prediction of S&P 500 Index Futures 標準普爾期貨指數之預測 Shu-Chen Yang 楊淑真 碩士 國立中興大學 財務金融系所 98 The purpose of this study is to forecast the future trend of stock prices. Using Standard and Poor’s (S&P) 500 index futures as the target, I examine the predictability of two methods on their weekly trends. The two methods are based on fundamental and technical analyses, respectively. Specifically, I conduct regressions using past returns on S&P index futures, VIX index, and futures open interests to predict returns of next week, and apply technical rules to generate buy and sell signals. The results, however, show that investors would lose by using these methods to trade for the period of 2001-2009, implying the fruitlessness of stock price prediction. Nevertheless, technical rules can make profits for the whole period, while the profits are not stable over time. This can seemingly explain why investors prefer to use technical analysis in the short run. Overall, I conclude that the results are consistent with the efficient market hypothesis. 徐俊明 2010 學位論文 ; thesis 29 zh-TW |
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碩士 === 國立中興大學 === 財務金融系所 === 98 === The purpose of this study is to forecast the future trend of stock prices. Using Standard and Poor’s (S&P) 500 index futures as the target, I examine the predictability of two methods on their weekly trends. The two methods are based on fundamental and technical analyses, respectively. Specifically, I conduct regressions using past returns on S&P index futures, VIX index, and futures open interests to predict returns of next week, and apply technical rules to generate buy and sell signals. The results, however, show that investors would lose by using these methods to trade for the period of 2001-2009, implying the fruitlessness of stock price prediction. Nevertheless, technical rules can make profits for the whole period, while the profits are not stable over time. This can seemingly explain why investors prefer to use technical analysis in the short run. Overall, I conclude that the results are consistent with the efficient market hypothesis.
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徐俊明 |
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徐俊明 Shu-Chen Yang 楊淑真 |
author |
Shu-Chen Yang 楊淑真 |
spellingShingle |
Shu-Chen Yang 楊淑真 The Prediction of S&P 500 Index Futures |
author_sort |
Shu-Chen Yang |
title |
The Prediction of S&P 500 Index Futures |
title_short |
The Prediction of S&P 500 Index Futures |
title_full |
The Prediction of S&P 500 Index Futures |
title_fullStr |
The Prediction of S&P 500 Index Futures |
title_full_unstemmed |
The Prediction of S&P 500 Index Futures |
title_sort |
prediction of s&p 500 index futures |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/72686898933163021251 |
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