and multivariate Stochastic Volatility (SV) models for financial return series. EIS provides a highly generic and very …

In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and …

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 …

sharpens the picture of intra-day volatility accentuations: they are concentrated within the first two minutes after the open … Nasdaq's calls have reduced this volatility, reorganized order flow, and lowered volatility persistence. Opening and closing …

The Heston model stands out from the class of stochastic volatility (SV) models mainly for two reasons. Firstly, the … process for the volatility is nonnegative and mean-reverting, which is what we observe in the markets. Secondly, there exists …

dimensions: price, volatility and liquidity. By comparing the Garman-Klass volatilities of bitcoin spot and futures prices with … those of different assets, we find that both the bitcoin spot and futures markets exhibit relatively high volatility …This paper explores empirically the behavior of the Chicago Mercantile Exchange (CME) bitcoin futures contract. The …