1 Introduction
1.1 Forecasting, Classification, and Dimensionality Reduction
This book shows how neural networks may be put to work for more accurate forecasting, classification, and dimensionality reduction for better decision making in financial markets — particularly in the volatile emerging markets of Asia and Latin America, but also in domestic industrialized-country asset markets and business environments.
The importance of better forecasting, classification methods, and dimensionality reduction methods for better decision making, in the light of increasing financial market volatility and internationalized capital flows, cannot be overexaggerated. The past two decades have witnessed extreme macroeconomic instability, first in Latin America ...
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