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Predictability (9)
Forecast evaluation (8)
Forecasting (6)
Tail risks (5)
United States (US) (4)
Brazil, Russia, India, China and South Africa (BRICS) (3)
Coronavirus disease 2019 (COVID-19) (3)
COVID-19 pandemic (3)
Emerging markets (3)
GARCH-MIDAS (3)
Generalized autoregressive conditional heteroskedasticity (GARCH) (3)
Geopolitical risks (GPRs) (3)
Global financial cycle (GFCy) (3)
Mixed data sampling (MIDAS) (3)
SDG-08: Decent work and economic growth (3)
Stock market (3)
Asymmetric loss (2)
Conditional autoregressive value at risk (CAViaR) (2)
Financial uncertainty (2)
Global vector autoregressive model (2)
Gross domestic product (GDP) (2)
Machine learning (2)
Macroeconomic uncertainty (2)
Nigeria (2)
Output growth (2)
Random forests (2)
Stock market volatility (2)
Stock returns (2)
United Kingdom (UK) (2)
ADL-MIDAS (1)
Advanced equity markets (1)
Advanced markets (1)
Bayesian dynamic factor model (1)
Bayesian dynamic learning (1)
Canada (1)
Climate risks (1)
Connectedness (1)
Constant-parameter and time-varying models (1)
Control variables (1)
Conventional stocks (1)
COVID-19 indices (1)
Economic growth (1)
Economic policy uncertainty (EPU) (1)
Emerging SSA countries (1)
Energy markets volatility (1)
Equity and oil markets (1)
Exchange rate forecasting (1)
Exchange rate predictability (1)
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Exchange rates (1)
Exchange traded funds (ETFs) (1)
Financial innovation (1)
Forecast (1)
Fractional cointegration (1)
Fractional integration (1)
GARCH-MIDAS approach (1)
GARCH-MIDAS model (1)
GARCH-MIDAS-X (1)
Geopolitical risk (GPR) (1)
Global economic conditions (1)
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