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This paper considers the optimal hedge ratio problem under estimation risk. Due to incomplete information, the decision-maker evaluates the opportunity cost of hedging using exchange-traded funds or notes (ETF/Ns). Using a back-testing procedure over the last five years and 13 different hedging...
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Bayesian inference for DSGE models is typically carried out by single block random walk Metropolis, involving very high computing costs. This paper combines two features, adaptive independent Metropolis-Hastings and parallelisation, to achieve large computational gains in DSGE model estimation....
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