Financial Time Series Forecasting Using Neuro Fuzzy Approach for the Bucharest Stock Exchange
نویسنده
چکیده
The motivation of this study is the research of an originally engineering field, but with important implications and applications for economics, in general and finance, in particular. Forecasting financial time series is the goal of many studies that combine concepts from various disciplines, in terms of classical theories or of the latest approaches, forming a point of great interest. Financial time series forecasting using neural networks, fuzzy systems, neuro fuzzy, genetic algorithms leads the research into the area of intelligent technology in an attempt to characterize the dynamic, hyperactive, catalyzing system of the capital markets, the behavior of the investors acting in this environment, the specific relationships.
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