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Dominance and further toDecreasing Absolute and Increasing Relative Risk Aversion Stochastic Dominance. The efficient sets …
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methods. Our methodology explores the idea that only a small part of the likelihood evaluation problem requires simulation. We …-off encountered by other sampling methods. An elaborate simulation study and an empirical application for U.S. stock returns reveal …
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The linear Gaussian state space model for which the common variance istreated as a stochastic time-varying variable is considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters related to the stochasticprocesses of the mean part...
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We consider unobserved components time series models where the components are stochastically evolving over time and are subject to stochastic volatility. It enables the disentanglement of dynamic structures in both the mean and the variance of the observed time series. We develop a simulated...
Persistent link: https://www.econbiz.de/10011809984
The computation of various risk metrics is essential to the quantitative risk management of variable annuity guaranteed … benefits. The current market practice of Monte Carlo simulation often requires intensive computations, which can be very costly … produce closed-form approximation of the risk measures for variable annuity guaranteed benefits. The techniques are further …
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and risk features than very simple and very complex models. Combinations of two strategies help, in particular, to reduce … risk features like volatility and largest loss, which indicates that complete densities provide useful information for risk. …
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