volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period … assumed to follow a white noise or autocorrelated process, it is confirmed by the rolling window estimation, and it holds for …

A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive … in applications in this context. This study reviews the different volatility models and points out their advantages and …

describe the most typical features of capital markets like volatility clustering, excess kurtosis and fat tails. As empirical … evidence shows asymmetry is also a prominent feature of stock market returns volatility. The reaction of risk if stock returns … ; volatility ; stock market ; transition …

volatility spillovers during global financial crisis and tranquil periods. The resulting market interconnectedness is depicted by … between markets and somewhat weaker temporal effects with regard to the US equity market - volatility spillovers decrease when … markets are characterized by greater temporal proximity. Volatility spillovers also present a high degree of …

This paper suggests how to quantify asymmetries in volatility spillovers that emerge due to bad and good volatility … stocks at the disaggregate level. Moreover, the spillovers of bad and good volatility are transmitted at different magnitudes …

) analysis. Such restrictions are typically just-identifying but can be checked by utilizing changes in volatility. This paper … reviews and contrasts the volatility models that have been used for this purpose. Three main approaches have been used …, exogenously generated changes in the unconditional residual covariance matrix, changing volatility modelled by a Markov switching …

that divergence in monetary policy regimes affects forex volatility spillovers but that adding oil to a forex portfolio … shocks dominate forex volatility connectedness, positive shocks prevail when oil and forex markets are assessed jointly …