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forecast model that dominates all competitors. Focusing on Brazilian data, this paper aims to identify the existence of … models may vary over time. The problems of using individual models may be reduced by applying forecast combining schemes. The … empirical results show consistent forecast gains of combining schemes over time. In particular, the longer the forecast horizon …
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Pessimism related to the outbreak of the Coronavirus Disease 2019 and its development in 2020 determines the experts’ predictions for the second and third quarter of 2020. The pessimistic outlook can be inferred from the downward revisions of the experts’ forecasts. More downward revisions...
Persistent link: https://www.econbiz.de/10012221080
This paper contributes a multivariate forecasting comparison between structural models and Machine-Learning-based tools. Specifically, a fully connected feed forward nonlinear autoregressive neural network (ANN) is contrasted to a well established dynamic stochastic general equilibrium (DSGE)...
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This study evaluates 10-year US government bond yield forecasts and three-month US Treasury bill rate forecasts for the … period between October 1989 and December 2004. In total, 136 forecast time series with approximately 13,800 forecast data … were scrutinized, making this the most extensive analysis of interest rate forecasts to date. Not one of the forecast time …
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A new causal simulation model of economic development was created, which comprehensively in detail and fully reflects … various types of legal and shadow economic activities and their interrelations. The model is used to forecast the whole (legal … Ukrainian authorities take an active position in the implementation of the developed forecast for the economic development of …
Persistent link: https://www.econbiz.de/10012264616