Estimating business and financial cycles in Slovenia

Lenarčič, Črt (2021): Estimating business and financial cycles in Slovenia.

Abstract

In this paper we utilize a multivariate STSM model in order to estimate trend and cyclical components on a set of business and financial economic variables for Slovenia. The results show that financial cycles are somewhat longer compared to business cycles. Comparing the standard deviations of financial and business cycles give inconclusive results on average, but excluding particular macroeconomic variables that are by definition more volatile, we see that also standard deviations of financial cycles tend to be larger. From the economic policy implications point of view the results might not come as a surprise, but are utterly important for additionally implementing financial stability goals alongside the monetary policy mandate, as financial cycles seem to be longer and deeper compared to business cycles.

• Item Type: MPRA Paper
• Language: English
• Keywords: Unobserved components models, financial cycles, housing cycles, business cycles, model-based filters
• Subjects: C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models; E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E32 - Business Fluctuations ; Cycles; E - Macroeconomics and Monetary Economics > E4 - Money and Interest Rates > E44 - Financial Markets and the Macroeconomy

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