capturing interest rate risk. The so-called Stochastic Volatility Nelson-Siegel (SVNS) model allows for stochastic volatility in … evidence for time-varying volatility in the yield factors. This is mostly true for the level and slope volatility revealing … also the highest persistence. It turns out that the inclusion of stochastic volatility improves the model's goodness …

behind narrative sign restrictions and allows to extract time varying contemporaneous effects and volatility transmission … from conventional reduced form volatility models with dynamic correlations. We find the market value of banking …

In the academic literature, the economic interpretation of stock market volatility is inherently ambivalent, being … volatility-dependent cross-market spillovers. If higher volatility in one market leads to higher (lower) reactions in another … market, volatility reflects information (uncertainty). We introduce a simultaneous time-varying coefficient model, where …

market uncertainty and volatility of the investment instruments. Thus, the prediction of the uncertainty and volatilities of … to identify the best fit model that can predict the volatility of return of Bitcoin, which is in high demand as an … the residuals of the average equation model selected have ARCH effect. Volatility of Bitcoin return series after detection …