Nonlinear System Identification Neural Networks

2) system identification

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Stock market analysts on trial

2002-02-09 14:24:25 by on-trial

The amount of poor and self-interested advice that is being issued by brokerages and their analysts. To this day, the majority of stockbrokers are compensated on the number of trades their customers make, not on the returns they generate for them or on the quality of the advice they provide. We believe that the price targets and analyst ratings are made with several masters in mind, none of whom are the individual investor. In a similar fashion, sell-side stock analysts are generally compensated based upon the overall profitability of their firms, not the quality or accuracy of their analysis. In the end, analysts have minimal structural incentive to be accurate in their predictions; rather their built-in incentive is to be as favorable to their corporate clients as possible. It is a...

Gurus' Results Stay Consistently Bad  — Forbes
Investment gurus make their money selling market predictions, not following them. Their overall performance has been historically and consistently dismal. Why people pay for market predictions is a one of Wall Street's biggest mysteries.

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Chen, S., Billings, SA and Grant, PM (1990) Non-linear system identification using neural networks. International Journal of Control, 51, 1191-1214.

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Nonlinear System Identification. From Classical Approaches to Neural Networks and Fuzzy Models. Nelles, Oliver. XVII, 785 p. 422 illus. Available Formats:.

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Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models [Hardcover]. Oliver Nelles (Author). (3 customer reviews).

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