This paper addresses a new approach for stock market forecast within the framework of evolving fuzzy rule-based modeling, a form of adaptive fuzzy modeling. US ...
Abstract. Stock market forecasting plays an important role in risk management, asset pricing and portfolio analysis. Stock prices involve.
This paper addresses a new approach for stock market forecast within the framework of evolving fuzzy rule-based modeling, a form of adaptive fuzzy modeling. US ...
This paper addresses evolving fuzzy systems and financial ITS forecasting considering as the empirical application the main index of the Brazilian stock market, ...
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The aim of this work was to systematically review forecasting models implemented through evolving fuzzy inference systems, identifying the most common ...
Oct 22, 2024 · The purpose of this paper is to develop an evolving fuzzy-GARCH modeling approach for stock market asset returns forecasting. The method ...
The results show the high potential of the evolving fuzzy-GARCH model to forecast stock returns volatility, outperforming GARCH-type models in statistical ...
A hybrid Fuzzy-FLANN EGARCH model is proposed to forecast the volatility of three stock market indexes. •. The TSK-type fuzzy inference system uses FLANN in ...
Jun 13, 2016 · This paper suggests evolving possibilistic fuzzy modeling to forecast realized volatility with jumps. The modeling approach is based on an ...
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The purpose of this paper is to develop an evolving fuzzy-GARCH modeling approach for stock market asset returns forecasting. The method addresses GARCH ...