Increasing the accuracy of macroeconomic time series forecast by incorporating functional and correlational dependencies between them. Н. Н. Моисеев
Экономика. Прикладная эконометрика. Научные статьи
Increasing the accuracy of macroeconomic time series forecast by incorporating functional and correlational dependencies between them
Год выпуска 2019
isbn
Автор произведения Н. Н. Моисеев
Жанр Экономика
Серия Прикладная эконометрика. Научные статьи
Издательство Синергия
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.