Suchergebnisse

We study if government response to the novel coronavirus COVID-19 pandemic can mitigate investor herding behaviour in international stock markets. Our empirical analysis is informed by daily stock market data from 72 countries from both developed and emerging economies in the first quarter of 2020. The government response to the COVID-19 outbreak is measured by means of the Oxford COVID-19 Government Response Tracker, where higher scores are associated with greater stringency. Three main findings are in order. First, results show evidence of investor herding in international stock markets. Second, we document that the Oxford Government Response Stringency Index mitigates investor herding behaviour, by way of reducing multidimensional uncertainty. Third, short-selling restrictions, temporarily imposed by the national and supranational regulatory authorities of the European Union, appear to exert a mitigating effect on herding. Finally, our results are robust to a range of model specifications.

We study if government response to the novel coronavirus COVID-19 pandemic can mitigate investor herding behaviour in international stock markets. Our empirical analysis is informed by daily stock market data from 72 countries from both developed and emerging economies in the first quarter of 2020. The government response to the COVID-19 outbreak is measured by means of the Oxford COVID-19 Government Response Tracker, where higher scores are associated with greater stringency. Three main findings are in order. First, results show evidence of investor herding in international stock markets. Second, we document that the Oxford Government Response Stringency Index mitigates investor herding behaviour, by way of reducing multidimensional uncertainty. Third, short-selling restrictions, temporarily imposed by the national and supranational regulatory authorities of the European Union, appear to exert a mitigating effect on herding. Finally, our results are robust to a range of model specifications.

We build upon a Markov-Switching Bayesian Vector Autoregression (MSBVAR) model to study how the credit default swaps market in the euro area becomes an important chain in the propagation of shocks through the entire financial system. The study sheds light on the regime-dependent interconnectedness between the risk of investing in banking and public sector bonds and provides novel evidence that a rise in sovereign debt, due to the countercyclical fiscal policy measures, is perceived by stock market investors as a burden on growth prospects. We also document that government interventions in the banking sector deteriorate the credit risk of sovereign debt. Higher risk premium required by investors for holding riskier government bonds depresses the sovereign debt market, it impairs banks' balance sheets, and it depresses the collateral value of loans leading to bank retrenchment. The ensuing two-way banking-fiscal feedback loop indicates that government interventions do not necessarily stabilize the banking sector.

Effective government policies may reduce uncertainty in sovereign bond markets. Can policy responses help to curb bond market volatility during the COVID-19 pandemic? To answer this, we examine data from 31 developed and emerging markets during the coronavirus outbreak in 2020. We demonstrate that government interventions substantially reduce local sovereign bond volatility. The effect is mainly driven by economic support policies; the containment and closure regulations and health system interventions play no major role.