Предсказание поворотных точек бизнес-цикла: помогают ли переменные финансового сектора?
The objective of this study is to develop a system of leading indicators of the business cycle turning points on a wide range of countries, including Russia, over a more than thirty years period. We use a binary choice model with the dependent variable of the state of economy: the recession, there is no recession. These models allow us to assess how likely is the change of macroeconomic dynamics from positive to negative and vice versa. Empirical analysis suggests that the inclusion of financial sector variables into equation can significantly improve the predictive power of the models of the turning points of business cycles. At the same time, models with financial and real sector variables obtained in the paper outperform the “naïve” models based only on the leading indicator of GDP in the OECD methodology due to either a lower level of noise (recession model) or a higher predictive power (model of the recovery from recession).