This is the first paper to examine the role of the real estate sector and housing unaffordability in the determination of systemic risk. We measure the systemic risk of the UK by employing the ∆CoVaR method developed by Adrian and Brunnermeier (2011, 2016), and we explore both its cross-sectional and time series behaviour. Regarding the former, we show that when the real estate sector is under distress the tail risk of the entire financial system increases significantly. With respect to the latter, the findings of our dynamic model suggest that sustainable house prices positively contribute to the stability of the financial sector; whilst house price exuberance and rapid increases in housing unaffordability amplify systemic risk. Finally, we examine the conjecture that the banking sector comprises a transmission channel from the housing market to the systemic risk of the financial system. Our empirical results are in line with this argument and highlight the key role of housing unaffordability.
This paper empirically investigates the transmission of systemic risk across the Euro Area by employing a Global VAR model. We find that a union aggregate systemic risk shock results in a sharp decline in output, with two thirds of the response to be attributed to cross-country spillovers. The results indicate that peripheral economies have a disproportionate importance in spreading systemic risk compared to core countries. Then, we incorporate high-frequency monetary surprises into the model and we find evidence of the risk-taking channel of monetary policy. However, the relationship is reversed in the period of the ZLB, when expansionary shocks mitigate systemic risk. Cross-country spillovers account for a significant fraction (17.4%) of systemic risk responses' variation. We also show that near term guidance reduces systemic risk, whereas the initiation of the QE program has the opposite effect. Finally, the effectiveness of monetary policy exhibits significant asymmetries, with core countries driving the union response.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.