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The forecast performance of the empirical ESTAR model of Taylor et al. (2001) is examined for 4 bilateral real exchange … forecast gains over a simple AR(1) model exist at any of the forecast horizons that are considered, regardless of whether point … study shows that the non-linearity in the point forecasts of the ESTAR model decrease as the forecast horizon increases …
Persistent link: https://www.econbiz.de/10015215469
Growth and currency in circulation etc. In this paper, we have attempted to forecast monthly YoY inflation for Pakistan by … using ANN for FY08 on the basis of monthly data of July 1993 to June 2007. We also compare the forecast performance of the … criterion forecast based on ANN are more precise. …
Persistent link: https://www.econbiz.de/10015216499
The forecast performance of the empirical ESTAR model of Taylor, Peel and Sarno (2001) is examined for 4 bilateral real … constructed, considering forecast horizons of 1 to 22 steps head. The study finds that no forecast gains over a simple AR(1 …) specification exist at any of the forecast horizons that are considered, regardless of whether point or density forecasts are …
Persistent link: https://www.econbiz.de/10015217744
In the present document it is exposed in an abstract way the models of credit portfolioes CreditMetricsTM, KMV, CreditRisk+, Credit Portfolio View in such a way that they could be calibrated and implemented in financial institutions where the quality and quantity of credit information is scanty,...
Persistent link: https://www.econbiz.de/10015218094
Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag (ADL) model is chosen. The results show that a...
Persistent link: https://www.econbiz.de/10015218160
Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal Litterman prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag model is chosen. The results show that a...
Persistent link: https://www.econbiz.de/10015218632
VARs. The economic models generate similar forecast errors to one another. However, at horizons of one to two years and …
Persistent link: https://www.econbiz.de/10015218693
Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal Litterman prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag model is chosen. The results show that a...
Persistent link: https://www.econbiz.de/10015218829
Contrary to their significance for the adjustment of econometric models, dummy variables are seldom addressed in the literature. They serve as a tool for improving the fit of the model equations to the data and with it the prognostic performance of a model, at least lastly. Referring to the...
Persistent link: https://www.econbiz.de/10015219303
comprehensive source document on the structure and underlying theory in the various Canadian macroeconomic models, and a review of …
Persistent link: https://www.econbiz.de/10015219703