This article investigates the determinants of non-performing loans for a panel of EEC countries and the implications for the real economy, covering the period 2005-2017. Among the determinants, the paper proposes macroeconomic factors, banking sector variables, and cost and governance indicators. Additionally, the paper explores the extensive use of macroprudential measures in these countries. Using a panel with fixed effects and a dynamic GMM estimator, the results support the existing findings that adverse macroeconomic developments are generally associated with higher non-performing loans, while increases in NPLs have a rather transitory effect on the real economy and credit. NPL ratios increase if macroeconomic conditions deteriorate, while an improvement in the government effectiveness reduces them. A more profitable and better capitalized banking sector generally leads to lower NPLs. Moreover, countries with higher past credit growth rates witnessed higher NPLs in the periods that followed. These results support the use of macroprudential measures for increasing the resilience of borrowers, such as limits on the indebtedness level (such as debt service-to-income, DSTI or loan-to-value, LTV caps), as tools to temper the credit cycle.
The paper aims to identify the main characteristics of the financial cycle for Romania using both the classical and growth cycle approaches. The turning point methodology represents the classical approach, while a band-pass filter is applied to capture the growth cycle. First, the paper assesses the significance of the medium-term cyclical component and finds that its importance increased since 2000s. The second purpose is to identify the relevant variables for the construction of a composite measure of the financial cycle. The results reveal that total credit and real estate prices are the best candidates. Regarding cycles’ characteristics, the classical approach shows that credit cycles tend last around 10 years, while the real estate cycles are longer and exhibit higher corrections during downturns.
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