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results of the model's forecasting performance suggest that this model can be a useful analytical tool in the process of … to MAKPAM and enriches the set of tools for forecasting and monetary policy analysis in NBRM. In this paper we highlight …
Persistent link: https://www.econbiz.de/10011926820
product, which in turn are used as an input in the forecasting process. Such forecasts reflect and incorporate the flow of … in a synchronous way. The forecasting power of the dynamic factor model is compared with those of several other models …
Persistent link: https://www.econbiz.de/10012818645
Republic of Macedonia (NBRM) for short-term forecasting of inflation - Autoregressive integrated moving average models … models' out-of-sample forecasting performance for the period 2012 q3 to 2016 q2 by using a number of forecast evaluation … to individual models' forecasts. Our results point to three important conclusions. First, the forecasting accuracy of the …
Persistent link: https://www.econbiz.de/10011717605
real economy is state-dependent and financial indicators may turn out to be useful particularly in forecasting "tail …
Persistent link: https://www.econbiz.de/10010339756
-of-sample forecasting exercise. We find that three-regime models that allow for shifts in the inflation risk premium or real interest rate (or … both) are the most promising forecasting models of inflation when using the term structure. …
Persistent link: https://www.econbiz.de/10005857756
the US unemployment rate. We perform a deep out-of-sample forecasting comparison analyzing many models that adopt both our …
Persistent link: https://www.econbiz.de/10008702857
Aggregate demand forecasting, also known as nowcasting when it applies to current quarter assessment, is of notable … indicate that the MIDAS regressions demonstrate comparable forecasting performance to that of MF-VAR model. Moreover, it is …
Persistent link: https://www.econbiz.de/10012696077
Economic policies are generally formulated on the basis of data available in real time, which might subsequently be revised. Implicitly, the possibility of data revisions creates an element of uncertainty around the very same data driving policy decisions. Given that such uncertainty could be...
Persistent link: https://www.econbiz.de/10014461449
Since oil is a non-renewable resource with a high environmental impact, and its most common use is to produce combustibles for electricity, reliable methods for modelling electricity consumption can contribute to a more rational employment of this hydrocarbon fuel. In this paper we apply the...
Persistent link: https://www.econbiz.de/10011592726
This paper proposes a novel and flexible framework to estimate autoregressive models with time-varying parameters. Our setup nests various adaptive algorithms that are commonly used in the macroeconometric literature, such as learning-expectations and forgetting-factor algorithms. These are...
Persistent link: https://www.econbiz.de/10010382183