NBRK analysts studied methods of machine learning in forecasting
The National Bank has released an economic study "System of Selective-Combined Inflation Forecast (SSCIF)".
Purpose of the study is to improve accuracy of forecasts by integrating machine learning methods into traditional econometric approaches. This method allows take into account a broader range of macroeconomic factors for a more accurate and reliable forecast of inflation.
Results of the study can be found on the website of the Bank of the Republic of Kazakhstan in the section "Research" - "Economic studies of the National Bank".
For more details visit the Internet resource of the National Bank.
For more details mass media can contact:
8 (7172) 77–52–10
e-mail: press@nationalbank.kz
www.nationalbank.kz