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I construct an estimable statistic that predicts whether a financial innovation will spread. The approach embeds the multi-host SIR model from epidemiology within a financial model of correlated securities trade; and takes advantage of the related predictive tools from mathematical epidemiology,...
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Recent work by Clements and Hendry have shown why forecasting systems that are in terms of differences, dVARs, can be more accurate than econometric models that include levels variables, ECMs. For example, dVAR forecasts are insulated from parameter non-constancies in the long run mean of the...
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Does economic theory help in forecasting key macroeconomic variables? This article aims to provide some insight into … the question by drawing lessons from the literature. The definition of "economic theory" includes a broad range of … examples of theory-based forecasting that have not proven useful, such as theory-driven variable selection and some popular …
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There are many types of econometric models used in predicting the inflation rate, but in this study we used a Bayesian shrinkage combination approach. This methodology is used in order to improve the predictions accuracy by including information that is not captured by the econometric models....
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