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classes of volatility models that simultaneously account for jumps and asymmetry. Using these models, we estimate the dynamic … family models in predicting jumps, outliers and asymmetry in financial time series modelling. …
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The profitability of analysts' recommendations is documented in numerous studies from all over the world. However, the evidence from the Polish market is relatively modest. The primary aim of this study is to fill this gap. The paper contributes to the economic literature in four ways. First, it...
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This paper presents a study of Artificial Neural Network (ANN) and Bayesian Network (BN) for use in stock index prediction. The data from Nigerian Stock Exchange (NSE) market are applied as a case study. Based on the rescaled range analysis, the neural network was used to capture the...
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