Prediction of Mutual Funds : Use of Neural Network Technique

By: Material type: ArticleArticleLanguage: ENG Series: ; 13Publication details: Nov 2007 0Edition: 11Description: 5-15 PpSubject(s): DDC classification:
  •  Sah
Online resources: Summary: Financial and economic forecasters have spurted the recent development of a number of new forecasting models. In the hard sciences, `neural network' can be used in the context of statistical analysis such as regression analysis, time series analysis, moving averages, and smoothing methods, and numerous judgmental methods as an alternative. In addition, neural networks can also overcome many of the shortcomings of traditional techniques, analyzing noisy data and incomplete data.
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Financial and economic forecasters have spurted the recent development of a number of new forecasting models. In the hard sciences, `neural network' can be used in the context of statistical analysis such as regression analysis, time series analysis, moving averages, and smoothing methods, and numerous judgmental methods as an alternative. In addition, neural networks can also overcome many of the shortcomings of traditional techniques, analyzing noisy data and incomplete data.

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