crashes, excess volatility, serially uncorrelated returns, fat-tailed return distributions and volatility clustering, thereby … regimes with high volatility originate from the fact that speculators extract stronger trading signals out of past stock price …

Financial Reynolds number (Re) has been proven to have the capacity to predict volatility, herd behaviour and nascent … embedded volatility, herd behaviour and nascent bubble. Overall the volatility distribution has been found to be Gaussian in … nature, as far as volatility, herd behaviour and nascent bubble are concerned. …

driving. complex systems ; econophysics ; exogenous ; versus endogenous ; high-frequency trading ; criticality ; trading …

Investors recently are really concerned about the risk aspects associated with the investment in securities. Volatility … used to forecast volatility. One such model is the different variants of the Econometric model. Along with it the use of … Econophysics methods is also helpful for the same. Understanding a better model of the forecast is what investors are looking …

We overview different methods of modeling volatility of stock prices and exchange rates, focusing on their ability to … is the central topic of this study. We propose a detailed survey of recent volatility models, accounting for multiple … stochastic volatility model families and often borrow methodological tools from statistical physics. We compare their properties …

Financial Reynolds number (Re) has been proven to have the capacity to predict volatility, herd behaviour and nascent … embedded volatility, herd behaviour and nascent bubble. Overall the volatility distribution has been found to be Gaussian in … nature, as far as volatility, herd behaviour and nascent bubble are concerned. …