As the impact of strategic decision-making at the corporate, sectoral and national levels increases, there are growing demands for high quality and solid Foresight outputs. In this regard, a timely detection and elimination of problems in Foresight projects is of great importance. A thorough...

This paper evaluates the forecast performance of Bayesian vector autoregressions (BVARs) on Russian data. We estimate BVARs of different sizes and compare the accuracy of their out-of-sample forecasts with those obtained with unrestricted vector autoregressions and random walk with drift. We...

This paper presents a method and computational technology for forecasting ambulance trips. We used statistical information about the number of the trips in 2009-2013, the meteorological archive, and the corresponding archive of the meteorological forecasts for the same period. We take into...

The Article Studies The Predictive Capabilities Of Qualitative Assessments Of Employment Expectations Obtained From Business Tendency Observations Of Entrepreneurial Activity, Which Are Currently A Widespread Source Of Economic Information Both In National And International Practice. The Study...

We consider the problem of finding a valid covariance matrix in the FX market given an initial non-PSD estimate of such a matrix. The standard no-arbitrage assumption implies additional linear constraints on such matrices, which automatically makes them singular. As a result, one cannot just...

This study covers the application of asymmetric accuracy metrics in the daily retail sales prediction problem. The paper is focused on the empirical validation of an accuracy metric derived from the newsvendor model. We scrutinize the accuracy metric's advantages and describe its properties....