Effectiveness of Neural Networks in Forecasting B.S.E Sensex Index
Language: English
Published by LAP LAMBERT Academic Publishing Nov 2011, 2011
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
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This item is printed on demand - it takes 3-4 days longer - Neuware -Since stock markets are volatile, dynamic and complicated, forecasting stock market return is considered as a challenging task. Nevertheless, researchers have developed various linear and nonlinear methods for effective forecasting. Among these neural networks are most suitable for forecasting non linear and chaotic relationships among variables. The current study attempts to forecast the future returns of B.S.E, highly volatile index, with the help of conventional method i.e. ARIMA (Auto Regression Integrated Moving Average) and Artificial Neural Network M.L.P (Multilayer Perceptron).To examine the efficiency of the models, MAD (Mean Absolute Deviation) and MSE (Mean Square Error) of the two models are compared. The study results revealed that neural network is better for forecasting in comparison to ARIMA. 60 pp. Englisch.
Seller Inventory # 9783846555606
- Title
- Effectiveness of Neural Networks in Forecasting B.S.E Sensex Index
- Author
- Tarun Soni
- Publisher
- LAP LAMBERT Academic Publishing Nov 2011
- Publication year
- 2011
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3846555606
- ISBN 13
- 9783846555606
- Item weight
- 107 grams
- Dimensions
- 220x150x4 mm
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BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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