||1 of 1 people found the following review helpful.| A Rough Introduction to Financial Forecasting Using Neural Networks|By Robin T. Wernick|"Neural Networks in Finance" whets the appetite for knowledge on how to build a predictive finanial index. It provides a generally good, but shallow, introduction to the construction of neural nets and gives a few examples implemented in MATLAB.
Unfortunately, it fails to explain||"This book clarifies many of the mysteries of Neural Networks and related optimization techniques for researchers in both economics and finance. It contains many practical examples backed up with computer programs for readers to explore. I recommend it to a
This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction.
McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japa...
[PDF.qg44] Neural Networks in Finance: Gaining Predictive Edge in the Market (Academic Press Advanced Finance) Rating: 4.68 (676 Votes)
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You can specify the type of files you want, for your device.Neural Networks in Finance: Gaining Predictive Edge in the Market (Academic Press Advanced Finance) | Paul D. McNelis. I was recommended this book by a dear friend of mine.
