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The evaluation of multi-step-ahead density forecasts is complicated by the serial correlation of the corresponding probability integral transforms. In the literature, three testing approaches can be found which take this problem into account. However, these approaches can be computationally...
Persistent link: https://www.econbiz.de/10009424910
Recently, several institutions have increased their forecast horizons, and many institutions rely on their past forecast errors to estimate measures of forecast uncertainty. This work addresses the question how the latter estimation can be accomplished if there are only very few errors available...
Persistent link: https://www.econbiz.de/10010465566
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Multi-step-ahead forecasts of forecast uncertainty in practice are often based on the horizon-specific sample means of recent squared forecast errors, where the number of available past forecast errors decreases one-to-one with the forecast horizon. In this paper, the efficiency gains from the...
Persistent link: https://www.econbiz.de/10003882901
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Macroeconomic risk assessments play an important role in the forecasts of manyinstitutions. However, to the best of our knowledge their performance has notbeen investigated yet. In this work, we study the Bank of England’s risk forecastsfor inflation. We find that these forecasts do not...
Persistent link: https://www.econbiz.de/10005866177
This paper discusses methods to quantify risk and uncertainty in macroeconomic forecasts. Both, parametric and non-parametric procedures are developed. The former are based on a class of asymmetrically weighted normal distributions whereas the latter employ asymmetric bootstrap simulations. Both...
Persistent link: https://www.econbiz.de/10010295862
Multi-step-ahead forecasts of forecast uncertainty in practice are often based on the horizon-specific sample means of recent squared forecast errors, where the number of available past forecast errors decreases one-to-one with the forecast horizon. In this paper, the efficiency gains from the...
Persistent link: https://www.econbiz.de/10010299256
Measuring and displaying uncertainty around path-forecasts, i.e. forecasts made in period T about the expected trajectory of a random variable in periods T+1 to T+H is a key ingredient for decision making under uncertainty. The probabilistic assessment about the set of possible trajectories that...
Persistent link: https://www.econbiz.de/10010300297