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Increasing the accuracy of macroeconomic time series forecast by incorporating functional and correlational dependencies between them
Никита Моисеев, А. Володин
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Increasing the accuracy of macroeconomic time series forecast by incorporating functional and correlational dependencies between them
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Increasing the accuracy of macroeconomic time series forecast by incorporating functional and correlational dependencies between them






Никита Моисеев, А. Володин

Increasing the accuracy of macroeconomic time series forecast by incorporating functional and correlational dependencies between them

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  • 277 кб
  • май 2019
  • 12+

Аннотация к книге "Increasing the accuracy of macroeconomic time series forecast by incorporating functional and correlational dependencies between them"

The paper presents a parametric approach to forecasting vectors of macroeconomic indicators,which takes into account functional and correlation dependencies between them. It is asserted that this information allows to achieve a steady decrease in their mean-squared forecast error. The paper also provides an algorithm for calculating the general form of the corrected probability density function for each of modelled indicators. In order to prove the efficiency of the proposed method we conduct a rigorous simulation and empirical investigation.