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The aim of this paper is to analyze the forecasting performance of alternative model for the US inflation rate over the … the series, although in terms of MSFE the Phillips curve specification can yield noticeable forecasting gains for medium … and long term horizons. Previous finding on the forecasting superiority of the simple naïve model are confuted. …
Persistent link: https://www.econbiz.de/10005037589
forecasting volatility. Key papers in this area include Andersen, Bollerslev, Diebold and Labys (2003), Corsi (2004), Andersen …
Persistent link: https://www.econbiz.de/10010334248
able to provide more accurate forecasting results than linear models. Therefore, simple autoregressive processes are … observations and autoregression residuals. The proposed forecasting models are applied to a large set of macroeconomic and … autoregression residuals, are somewhat able to provide better forecasting results than simple linear models. Thus, it may be …
Persistent link: https://www.econbiz.de/10010435409
walk model suggests that the forecasting performance of the monetary model is superior. …
Persistent link: https://www.econbiz.de/10010436043
the other periods. Croston's method is a widely used procedure for intermittent demand forecasting. However, it is an ad …
Persistent link: https://www.econbiz.de/10005087603
to forecast. This paper considers the application of diffusion index forecasting models to this problem. We begin by …
Persistent link: https://www.econbiz.de/10005100998
-term forecasting of employment in Switzerland aggregated in the KOF Employment Indicator. We use the real time dataset in order to …
Persistent link: https://www.econbiz.de/10005051766
This paper proposes an easy test for two stationary autoregressive fractionally integrated moving average (ARFIMA) processes being uncorrelated via AR approximations. We prove that an ARFIMA process can be approximated well by an autoregressive (AR) model and establish the theoretical foundation...
Persistent link: https://www.econbiz.de/10005065306
-time forecast selection, i.e., for assessing which of two competing forecasting methods will perform better in the future. We … that are neglected in the existing literature by evaluating what we call the forecasting method (the model and the … parameter estimation procedure), rather than just the forecasting model. Compared to previous approaches, our tests are valid …
Persistent link: https://www.econbiz.de/10005074059
suboptimal for forecasting purposes. The paper proposes the use of a class of shrinkage estimators that includes the Ridge … estimator for forecasting time series, with a special attention to GARCH and ACD models. The local large sample properties of …-daily financial durations forecasting application. The empirical application shows that an appropriate shrinkage forecasting …
Persistent link: https://www.econbiz.de/10005075728