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Predicting Turning Points of the Business Cycle: Do Financial Sector Variables Help?
https://doi.org/10.32609/0042-8736-2013-7-63-81
Abstract
The objective of this study is to develop a system of leading indicators of the business cycle turning points for a wide range of countries, including Russia, over a period of more than thirty years. 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 "naive" 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).
About the Author
A. Pestova
Center for Macroeconomic Analysis and Short-term Forecasting, National Research University Higher School of Economics (Moscow, Russia)
Russian Federation
Russian Federation
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Review
For citations:
Pestova A. Predicting Turning Points of the Business Cycle: Do Financial Sector Variables Help? Voprosy Ekonomiki. 2013;(7):63-81. (In Russ.) https://doi.org/10.32609/0042-8736-2013-7-63-81
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