volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period …

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 …

This paper uses R/S analysis and fractional integration techniques to examine the persistence of two sets of 12 ESG and … degree of persistence and its dynamic behaviour. However, higher persistence is found for the emerging markets examined …

This paper examines long memory volatility in the cross-section of stock returns. We show that long memory volatility … capitalization, book-to-market ratio, prior performance and price jumps. Long memory volatility is negatively priced in the cross …-section. Buying stocks with shorter memory and selling stocks with longer memory in volatility generates significant excess returns of …

This paper investigates persistence in high-frequency, intraday data (and also daily and monthly ones) in the case of … exponent as a measure of persistence. The results indicate that persistence is sensitive to the data frequency. More … addition, persistence varies over time. These findings imply that the Efficient Market Hypothesis (EMH) only holds in the case …

particularly interested in volatility modelling and forecasting given their importance for FOREX dealers. Compared with previous …

-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 …