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  • Search: person:"Choy, Sheung-On"
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Year of publication
Subject
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AI decision tools 2 HSBC 2 Hong Kong 2 NN5 2 artificial intelligence 2 e-finance 2 e-trading 2 electronic finance 2 electronic trading 2 forecasting 2 neural networks 2 stock market movements 2 stock price prediction 2
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Online availability
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Undetermined 1
Type of publication
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Article 3
Language
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Undetermined 3
Author
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Choy, Sheung-On 3 Kwan, Reggie 3 Mak, Jacky 3 Ng, Sin-Chun 3 Tsang, Philip M. 3
Published in...
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International Journal of Electronic Finance 2 International journal of electronic finance : IJEF 1
Source
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RePEc 2 OLC EcoSci 1
Showing 1 - 3 of 3
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An empirical examination of the use of NN5 for Hong Kong stock price forecasting
Tsang, Philip M.; Ng, Sin-Chun; Kwan, Reggie; Mak, Jacky; … - In: International Journal of Electronic Finance 1 (2007) 3, pp. 373-388
Reliable stock market movement prediction is a challenging task. The difficulty is mainly due to the close to random-walk behaviour of a stock time series. A number of published techniques have emerged in the trading community for prediction tasks. One of them is neural network, NN. In this...
Persistent link: https://www.econbiz.de/10005753726
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Cover Image
An empirical examination of the use of NN5 for Hong Kong stock price forecasting
Tsang, Philip M.; Ng, Sin-Chun; Kwan, Reggie; Mak, Jacky; … - In: International Journal of Electronic Finance 1 (2007) 3, pp. 373-388
Reliable stock market movement prediction is a challenging task. The difficulty is mainly due to the close to random-walk behaviour of a stock time series. A number of published techniques have emerged in the trading community for prediction tasks. One of them is neural network, NN. In this...
Persistent link: https://www.econbiz.de/10008539430
Saved in:
Cover Image
An empirical examination of the use of NN5 for Hong Kong stock price forecasting
Tsang, Philip M.; Ng, Sin-Chun; Kwan, Reggie; Mak, Jacky; … - In: International journal of electronic finance : IJEF 1 (2006) 3, pp. 373-388
Persistent link: https://www.econbiz.de/10007600868
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