University of agribusiness and rural development, Fiscal policy, globalization and economic growth: sustainable development challenges and perspectives

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CHALLENGES AND PROBLEMS IN TODAY'S ECONOMIC FORECASTS
Georgi Georgiev, Vladislava Georgieva

Last modified: 2020-02-26

Abstract


The purpose of the publication is to present to the academic community and practitioners in our country the achieved forecast accuracy in the economic field by applying various modern methods. The main challenges and problems related to time series forecasting and the adequacy of the forecasting models are considered.


Keywords


time series forecasting, symmetric mean absolute percentage error, machine learning, forecasting model adequacy, overfitting, underfitting