agricultural commodities, specifically corn and sugarcane, using the multivariate diagonal BEKK conditional volatility model. The … market, there were significant negative co-volatility spillover effects, specifically corn on subsequent sugarcane co-volatility … with corn, and sugarcane on subsequent corn co-volatility with sugarcane. In the other 4 cases, there are no significant co-volatility …

, crude oil, gold and currency compared to commodities, bonds and real estate. Furthermore, we test the effective hedging … ability of these funds by estimating hedge ratios and optimal portfolio weights. Taking a short position in the volatility of … the funds provides impeccable hedging effectiveness for all asset classes, except currency …

We employ several copula functions to capture conditional and tail dependence during periods of extreme volatility and … variations in volatility, provoke accelerated decreases and function as a barometer of shipping market fluctuations …

We adopt Schwartz and Smith’s model (2000) to calculate risk measures of Brent oil futures contracts and light sweet … crude oil (WTI) futures contracts and Mirantes, Poblacion and Serna’s model (2012) to calculate risk measures of natural gas … models provide satisfactory risk measures for listed energy commodity futures contracts. A simple estimation method …

introduce a definition of geopolitical risk which is based on volatility shocks to a wide range of financial market prices. To … measure geopolitical risk, we propose a statistical model for the magnitude of the common volatility shocks. Accordingly, a … innovations to volatilities are correlated across assets and therefore can be used to measure and hedge geopolitical risk. We …

) approach to evaluating the hedging effectiveness of clean energy stocks. The out-of-sample forecast evaluations of the oil risk … Brent volatility) and climate risk (climate policy uncertainty and energy and environmental regulation) as predictors. It …-based and climate risk-based clean energy predictive models are explored using Clark and West's model (2007) and a modified …

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 …

cor-relations and volatility spillovers between crude oil and stock index returns, pricing exotic options using the Wang … sector indices: dy-namic models and risk hedging, the probability of default in collateralized credit oper-ations, risk …Risk management is crucial for optimal portfolio management. One of the fastest growing areas in empirical finance is …

serves as a risk management tool for all of the cities in the same climatic zone, we compare the risk hedging power between …) contract, is introduced. The objective is to increase the risk management efficiency in the agricultural sector of China and to …

The calculation of the capital charge for CVA risk, as required by the Basel Committee on Banking Supervision, is … usually rather unstable due to the volatility of CDS spreads. Since credit derivatives on single names are not very liquid …, the implied adjustments in capital charges could be reduced by hedging a credit derivative portfolio with a contrary …