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 …

gas spot markets, a large number of hedging strategies can be used, especially with the rapid development of natural gas … derivatives markets. These hedging instruments include natural gas futures and options, as well as Exchange Traded Fund (ETF …) prices that are related to natural gas stock prices. The volatility spillover effect is the delayed effect of a returns shock …

The primary purpose of the paper is to analyze the conditional correlations, conditional covariances, and co-volatility … spillovers between international crude oil and associated financial markets. The paper investigates co-volatility spillovers … (namely, the delayed effect of a returns shock in one physical or financial asset on the subsequent volatility or co-volatility …

The paper examines the performance of four multivariate volatility models, namely CCC, VARMA-GARCH, DCC and BEKK, for … the optimal portfolio weights of all multivariate volatility models for Brent suggest holding futures in larger … volatility model give the time-varying hedge ratios, and recommend to short in crude oil futures with a high proportion of one …

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 …

cor-relations and volatility spillovers between crude oil and stock index returns, pricing exotic options using the Wang … transform, the rise and fall of S&P500 variance futures, predicting volatility using Markov switching multifractal model … approach, forecasting volatility via stock return, range, trading volume and spillover effects: the case of Brazil, estimating …

For forecasting volatility of futures returns, the paper proposes an indirect method based on the relationship between … futures and the underlying asset for the returns and time-varying volatility. For volatility forecasting, the paper considers … the stochastic volatility model with asymmetry and long memory, using high frequency data for the underlying asset …