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This paper constructs a global tail risk (GTR) index and examines the role of GTR in predicting the volatility of … international stock markets. Our empirical results emphasize that GTR contains valuable information to predict the stock volatility … improve the forecasting accuracy of international stock market volatility, especially considering the time-varying regime …
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studied. This research aims to investigate the interdependent relationships between world GDP, world commodity prices, world … autoregression (TVAR) to capture regime changes in the variables of the world economy. World economic data and Indonesia's economic … data were utilized to prove different responses to the world economic situation in two different regimes. This research …
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We analyze the evolution and drivers of inflation during the pandemic and the likely trajectory of inflation in the near-term using an event study of inflation around global recessions and a factor-augmented vector auto-regression (FAVAR) model. We report three main results. First, the decline...
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