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dynamics, which, if not taken sufficiently into account by a forecasting model, could be associated with predictable forecast … pervasive in the forecasts of other large-scale econometric models. Key Words: Error Correction Models, Forecasting, Consumption …
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Covariance matrix forecasts of financial asset returns are an important component of current practice in financial risk management. A wide variety of models, ranging from matrices of simple summary measures to covariance matrices implied from option prices, are available for generating such...
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I find that the standard class of affine models produces poor forecasts of future changes in Treasury yields. Better forecasts are generated by assuming that yields follow random walks. The failure of these models is driven by one of their key features: the compensation that investors receive...
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Some time ago, the Commerce Department changed the way it calculates real gross domestic product. In response to that change, this paper presents an update of a simple model that is used to predict the growth rate of current quarter real output based on available monthly data. After searching...
Persistent link: https://www.econbiz.de/10005707536
reason, projecting policy effects accurately is a challenging task. An essential step is to develop good forecasting models …. ; This article presents a forecasting model that seems to overcome conceptual and empirical difficulties encountered in other …
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