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), conditional heteroscedastic volatility models, and multiple news shocks are suitable for forecasting the volatility of the … GJRGARCH-FFNSs model is the best model for Malaysian tourism demand volatility forecasting accuracy. Furthermore, KLCI and Gold … methodological framework utilised in this study can be a useful tool for creating and forecasting the performance of symmetry and …
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We assess the contribution of macroeconomic uncertainty -- approximated by the dispersion of the real GDP survey forecasts -- to the ex post and ex ante prediction of stock price bubbles. For a panel of six OECD economies covering 24 years, two alternative binary chronologies of bubble periods...
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