The letter examines herding in the most liquid cryptocurrency markets relative to traditional financial markets of 10 …

likely to stop bringing their capital when their economy is growing and the world interest rate is lower. Domestic agents are …

likely to stop bringing their capital when their economy is growing and the world interest rate is lower. Domestic agents are …

tie these features together in a model of banks' herding behavior. Most existing models of herding behavior can explain … the other hand, many models that try to explain excessive risk-taking do not contain any incentive for herding. This paper … develops astate-preference model of simultaneous herding and excessive risktaking. Thus, the model can help in understanding …

tie these features together in a model of banks' herding behavior. Most existing models of herding behavior can explain … the other hand, many models that try to explain excessive risk-taking do not contain any incentive for herding. This paper … develops astate-preference model of simultaneous herding and excessive risktaking. Thus, the model can help in understanding …

withdrew money one month prior to the events. Thedegree of herding among funds is statistically significant, but moderate.Herding …

We look into determinants (volatility, crises, sentiment and the U.S. ‘fear’ index) of herding using BRICS as our … sample. Investors herd selectively to crises and herding is a short-lived phenomenon. Herding was highest during the global … financial crisis (only China was affected). There was no herding during the European debt crisis and COVID. With regard to the …