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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 …
Persistent link: https://www.econbiz.de/10011441704
methods. The effects of several model characteristics(unit roots, GARCH, stochastic volatility, heavy tailed … disturbancedensities) are investigated in relation to the hedging decision strategies.Consequently, we can make a distinction between …
Persistent link: https://www.econbiz.de/10011302131
methods. The effects ofseveral modelcharacteristics (unit roots, GARCH, stochastic volatility, heavy taileddisturbance … densities) areinvestigated in relation to the hedging strategies. Consequently, we can make adistinctionbetween statistical …
Persistent link: https://www.econbiz.de/10011313921
, including market-based estimation of stochastic volatility models, the fine structure of equity-index option dynamics, leverage … and feedback effects in multifactor Wishart stochastic volatility for option pricing, option pricing with non …-Gaussian scaling and infinite-state switching volatility, stock return and cash flow predictability: the role of volatility risk, the …
Persistent link: https://www.econbiz.de/10010465152
Persistent link: https://www.econbiz.de/10003645209
When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on … stochastic volatility. Estimation of the model delivers measures of daily variation outperforming their non …
Persistent link: https://www.econbiz.de/10011374428
Persistent link: https://www.econbiz.de/10000980737
Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...
Persistent link: https://www.econbiz.de/10010533206
volatility models, namely GARCH(1,1), GJR(1,1) and EGARCH(1,1), are used to measure the short-run and long-run persistence of … tourists. The empirical results show asymmetric impacts of positive and negative shocks on the volatility of the change in the … number of Group-type and Medical-type tourists, while Individual-type tourists display a symmetric volatility pattern …
Persistent link: https://www.econbiz.de/10011848107
We propose a robust semi-parametric framework for persistent time-varying extreme tail behavior, including extreme Value-at-Risk (VaR) and Expected Shortfall (ES). The framework builds on Extreme Value Theory and uses a conditional version of the Generalized Pareto Distribution (GPD) for...
Persistent link: https://www.econbiz.de/10015133653