metal price series is investigated, as well as time-varying volatility. The results demonstrate that allowing for jumps and … time-varying volatility provides statistically important improvements in the modelling or prices, relative to GBM. These …

-varying volatility of the data generating process can have rather adverse effects when inferring about its persistence; e.g. unit root … conditional heteroskedasticity). The paper explores the influence of time-varying volatility on fractionally integrated processes …. Concretely, we discuss how to model long memory in the presence of time-varying volatility, and analyze the effects of such …

This paper investigates the degree of persistence of market fear. Specifically, two different long-memory approaches (R …/S analysis with the Hurst exponent method and fractional integration) are used to analyse persistence of the VIX index over the … future values), whilst during crisis period the level of persistence is increasing. These results can be informative about …

This paper investigates the degree of persistence of market fear. Specifically, two different long-memory approaches (R …/S analysis with the Hurst exponent method and fractional integration) are used to analyse persistence of the VIX index over the … properties change over time: in normal periods it exhibits anti-persistence (there is a negative correlation between its past and …

. The results indicate that persistence is higher at lower frequencies, for both returns and their volatility. This is true …This paper investigates persistence in financial time series at three different frequencies (daily, weekly and monthly …

. The results indicate that persistence is higher at lower frequencies, for both returns and their volatility. This is true …This paper investigates persistence in financial time series at three different frequencies (daily, weekly and monthly …

We analyse the dynamic behavior of conditional volatility in commodity markets using a novel, manually collected … dataset of daily price ranges over a time span of more than 140 years, which allows more precise daily volatility estimates … not adequate to capture the very distinct long-run and short-run dynamic volatility components. While the long memory …

We propose a novel representation of commodity spot prices in which the cost-of-carry and the spot price volatility are … stochastic volatility, provides simple closed-form expressions of commodity futures, and yields analytic formulas of European … price volatility are needed to accurately fit the volatility surface of options on oil futures, highlighting the importance …

We propose a factor state-space approach with stochastic volatility to model and forecast the term structure of future … stochastic volatility process. Exploiting the conjugacy of the Wishart and the Gaussian distribution, we develop a … individual prices and their volatility. It also shows that this model has a good out-of-sample forecast performance …

We consider changes in the degree of persistence of a process when the degree of persistence is characterized as the …