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This paper utilizes Bayesian (static) model averaging (BMA) and dynamic model averaging (DMA) incorporated into Markov-switching (MS) models to forecast business cycle turning points of the United States (US) with state-level climate risks data, proxied by temperature changes and its (realized)...
Persistent link: https://www.econbiz.de/10014242517
This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predicting recessionary regimes of the (quarterly) U.S. GDP. In this regard, the authors apply a mixed-frequency Markov-switching vector autoregressive (MF-MS-VAR) model, and compare its in-sample and...
Persistent link: https://www.econbiz.de/10011554324
This paper analyzes the performance of the monthly economic policy uncertainty (EPU) index in predicting recessionary regimes of the (quarterly) U.S. GDP. In this regard, the authors apply a mixed-frequency Markov-switching vector autoregressive (MF-MSVAR) model, and compare its in-sample and...
Persistent link: https://www.econbiz.de/10011443536
Persistent link: https://www.econbiz.de/10014472761
as predictors. Third, we pool the forecasts in clusters to hedge against model risk and to evaluate the usefulness of …, and reducing tail risk. Using the same approach for return forecasts, however, does not lead to a consistent …
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