In this study, we investigate the statistical properties of the stock return volatility, defined as the absolute value … of the logarithmic relative price changes. We show examples of power-law and of exponential-law for the volatility …

crashes, excess volatility, serially uncorrelated returns, fat-tailed return distributions and volatility clustering, thereby …, speculators' heterogeneity occasionally vanishes, e.g. due to panic-induced herding behavior, yielding extreme returns. Lasting … regimes with high volatility originate from the fact that speculators extract stronger trading signals out of past stock price …

pricing models postulate a positive relationship between a stock portfolio’s expected returns and risk, which is often … relationship between mean returns on the Nigeria commercial banks portfolio investments and its conditional variance or standard … volatility, while the EGARCH model gives a negative relationship. We suggest that market operators should try as much as possible …

prices, returns and volatility of related agricultural commodities. Analyzing the spillover effects on agricultural …. The purpose of this paper is to examine the volatility spillovers for spot and futures returns on bio-ethanol and related … agricultural commodities, specifically corn and sugarcane, using the multivariate diagonal BEKK conditional volatility model. The …

), its volatility as well as the asymmetric effects, for the period of 12th May 2009 to 12th June, 2015. The empirical …-of-theweek effect is influenced by the choice of the volatility model applied. Similarly, the highest or lowest volatility market day …

prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to … simple daily ranges and explore the use of these more efficient volatility measures as predictors of daily ranges. The array … forecasts are produced by a realized range based HAR model with a GARCH volatility-of-volatility component. …