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In this paper, I apply univariate and vector autoregressive (VAR) models to forecast inflation in Vietnam. To investigate the forecasting performance of the models, two naive benchmark models (one is a variant of a random walk and the other is an autoregressive model) are first built based on...
Persistent link: https://www.econbiz.de/10011606109
stock return and price forecasts. The results show that the simulation by a VECX econometric model is robust as seen by the …
Persistent link: https://www.econbiz.de/10013129177
Surveys show that the mean absolute percentage error (MAPE) is the most widely used measure of forecast accuracy in businesses and organizations. It is however, biased: When used to select among competing prediction methods it systematically selects those whose predictions are too low. This is...
Persistent link: https://www.econbiz.de/10013018861
Based on the 2012 Version of the Romanian Macromodel, the first section of this paper discusses the evolution of the … macromodel. The methodological considerations are doubled by an illustrative application, comparing the previous projections for …
Persistent link: https://www.econbiz.de/10013019550
This paper builds a short-term inflation projections (STIP) model for Latvia. The model is designed to forecast highly disaggregated consumer prices using cointegrated ARDL approach of [Pesaran, M., & Shin, Y. (1998). An Autoregressive Distributed Lag Modelling Approach to Cointegration...
Persistent link: https://www.econbiz.de/10012805901
The paper compares one-period ahead forecasting performance of linear vector-autoregressive (VAR) models and single-equation Markov-switching (MS) models for two cases: when leading information is available and when it is not. The results show that single-equation MS models tend to perform...
Persistent link: https://www.econbiz.de/10013147524
practice. To study the statistical properties of alternative measures we use theoretical concepts and simulation experiments …
Persistent link: https://www.econbiz.de/10013314570
We propose a novel time-varying parameters mixed-frequency dynamic factor model which is integrated into a dynamic model averaging framework for macroeconomic nowcasting. Our suggested model can efficiently deal with the nature of the real-time data flow as well as parameter uncertainty and...
Persistent link: https://www.econbiz.de/10013315332
We propose a novel time-varying parameters mixed-frequency dynamic factor model which is integrated into a dynamic model averaging framework for macroeconomic nowcasting. Our suggested model can efficiently deal with the nature of the real-time data flow as well as parameter uncertainty and...
Persistent link: https://www.econbiz.de/10012119825
This paper details efforts at developing and estimating a Vector Autoregressive (VAR) econometric model representative of the financial statements of a firm. Although the model can be generalized to represent the financial statements of any firm, this work was carried out as a case study, where...
Persistent link: https://www.econbiz.de/10014211147