The development process in financial markets give rise to the emergence of various instruments and cryptocurrencies, which are newest tools this process, trying integrate into system. Even though use crypto-currencies for investment speculation has increased, limited information on market leads high level volatility price return. Therefore, study aims analyze dynamics returns Bitcoin, is crypto...

This paper investigates long-run dependencies of volatility and volume, supposing that are driven by the same informative process. Log-realized volatility and log-volume are characterized by upper and lower tail dependence, where the positive tail dependence is mainly due to the jump component. The possibility that volume and volatility are driven by a common fractionally integrated stochastic ...

Using a novel and flexible regression approach that avoids imposing restrictive modeling assumptions, we find evidence of a nonmonotonic relation between conditional volatility and expected stock market returns. At low and medium levels of conditional volatility there is a positive risk-return trade-off, but this relation is inverted at high levels of volatility. This finding helps explain the ...

In the last few years, a lot of attention has been devoted to the issue of understanding and modeling the dynamic of implied volatility curves and surfaces, which is crucial for both trading, pricing and risk management of option positions. We suggest a simple, yet flexible, model, based on a discrete and linear Kalman filter updating of the volatility skew. From a risk management perspective, ...

This paper studies transmission of international energy price shocks to various sectors in the Australian stock market. We take the multivariate generalized autoregressive conditional heteroscedasticity (MGARCH) approach to modeling volatility and gather evidence that energy price shocks transmit to the price indices of various sectors classified by the global industry classification standard (...