Prediction of stocks price movement

In finance, investors are particularly interested in forecast of financial markets because of its ability to capture and comprehend information of the market, thus instilling investors’ confidence. There are several forms of financial forecasts, namely, Technical Analysis, Quantitative Analysis a...

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主要作者: Wong, Siew Hong.
其他作者: Foo Say Wei
格式: Final Year Project
語言:English
出版: 2010
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在線閱讀:http://hdl.handle.net/10356/40297
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機構: Nanyang Technological University
語言: English
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spelling sg-ntu-dr.10356-402972023-07-07T16:12:41Z Prediction of stocks price movement Wong, Siew Hong. Foo Say Wei School of Electrical and Electronic Engineering DRNTU::Engineering In finance, investors are particularly interested in forecast of financial markets because of its ability to capture and comprehend information of the market, thus instilling investors’ confidence. There are several forms of financial forecasts, namely, Technical Analysis, Quantitative Analysis and Fundamental Analysis. The task of stock forecasting in Technical Analysis divides researchers and academics into two groups who believe that mechanisms can be used to beat the market and those who believe the market is always efficient with no space for prediction, as stated in the strong-form of the Efficient Market Hypothesis. The latter group also believes in the Random Walk principle, which implies that the best prediction value we can have about tomorrow’s value is today’s value. The Efficient Market Hypothesis (EMH), in its weak-form, suggests that future prices of securities cannot be predicted consistently by just analyzing historical prices. However, it does not deny the fact that in the short run, investing strategies such as Technical Analysis can potentially yield excess returns. In general, although Technical Analysis cannot be treated as the best investing tool, it does help investors to identify and suggest trading opportunities. Bachelor of Engineering 2010-06-14T07:01:29Z 2010-06-14T07:01:29Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/40297 en Nanyang Technological University 66 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Wong, Siew Hong.
Prediction of stocks price movement
description In finance, investors are particularly interested in forecast of financial markets because of its ability to capture and comprehend information of the market, thus instilling investors’ confidence. There are several forms of financial forecasts, namely, Technical Analysis, Quantitative Analysis and Fundamental Analysis. The task of stock forecasting in Technical Analysis divides researchers and academics into two groups who believe that mechanisms can be used to beat the market and those who believe the market is always efficient with no space for prediction, as stated in the strong-form of the Efficient Market Hypothesis. The latter group also believes in the Random Walk principle, which implies that the best prediction value we can have about tomorrow’s value is today’s value. The Efficient Market Hypothesis (EMH), in its weak-form, suggests that future prices of securities cannot be predicted consistently by just analyzing historical prices. However, it does not deny the fact that in the short run, investing strategies such as Technical Analysis can potentially yield excess returns. In general, although Technical Analysis cannot be treated as the best investing tool, it does help investors to identify and suggest trading opportunities.
author2 Foo Say Wei
author_facet Foo Say Wei
Wong, Siew Hong.
format Final Year Project
author Wong, Siew Hong.
author_sort Wong, Siew Hong.
title Prediction of stocks price movement
title_short Prediction of stocks price movement
title_full Prediction of stocks price movement
title_fullStr Prediction of stocks price movement
title_full_unstemmed Prediction of stocks price movement
title_sort prediction of stocks price movement
publishDate 2010
url http://hdl.handle.net/10356/40297
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