established that the gasoline supply in the United States (U.S.) must contain 10% ethanol. This work seeks to identify hedging … ratios using dynamic multivariate GARCH to best identify hedging opportunities in a newly developed futures market. The … ability for firms to hedge and regulators to supervise the ethanol futures market is crucial to both hedging potential losses …

biofuels and other economic and financial factors on daily returns of a group of commodity futures prices using Generalized … complex of drivers are relevant in explaining commodity futures returns; more precisely, the Standard and Poorś (S&P) 500 … positively affects commodity markets, while the US/Euro exchange rate brings about a decline in commodity returns. It turns out …

In this study, we model realized volatility constructed from intraday high-frequency data. We explore the possibility … of confusing long memory and structural breaks in the realized volatility of the following spot exchange rates: EUR …' realized volatility. From the Bai – Perron test, we found structural breakpoints that match significant events in financial …

This paper estimates a bivariate HEAVY system including daily and intra-daily volatility equations and its macro …-augmented asymmetric power extension. It focuses on economic factors that exacerbate stock market volatility and represent major threats to … commodity markets on stock market realized volatility. Specifically, Economic Policy Uncertainty is shown to be one of the main …

This paper estimates a bivariate HEAVY system including daily and intra-daily volatility equations and its macro …-augmented asymmetric power extension. It focuses on economic factors that exacerbate stock market volatility and represent major threats to … commodity markets on stock market realized volatility. Specifically, Economic Policy Uncertainty is shown to be one of the main …

This paper studies the information content of the S&P 500 and VIX markets on the volatility of the S&P 500 returns. We … risk-neutral distributions as well as the term structure of volatility smiles and of variance risk premia. We find that the …

We propose a methodology to include night volatility estimates in the day volatility modeling problem with high … the natural relationship between the realized measure and the conditional variance. This improves volatility modeling by … leverage effect and maintains a mathematical structure that facilitates volatility estimation. A class of bivariate models that …

the behaviour of returns and their volatility during both the calm as well as various crises/turmoil periods. Besides the …-distribution of error terms was used to capture the dynamics of analysed returns more precisely. The results proved high volatility …-GJR-GARCH) were estimated in order to examine the volatility switches of the Central European transition stock markets. The t …

not yet known to the Russian reader — financial econometrics. Terminology and concepts of different kinds of risk …

using volatility impulse response analysis. The data set features ten years of daily returns series for the New York Stock … independent shocks on volatility through time, while avoiding typical orthogonalization and ordering problems. Volatility impulse … response functions (VIRF) provide information about the impact of independent shocks on volatility. HHś VIRF extends a …