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We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model … estimates to account for parameter uncertainty. We find that for most European countries the dividend-price ratio and inflation … the long-horizon allocation. Parameter uncertainty plays a second-order role, dominated by strong variation in the dynamic …
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this 0-1 knapsack problem, retailers should also consider the risk associated with every assortment. While every product in … the assortment offers an expected return, there is also uncertainty around its expected demand and profit contribution …. Therefore, retailers face the difficult task of designing a portfolio of products that balances risk and return. In this paper …
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risk assessment, uncertainty-penalized optimization to counter estimation error and improve realized utility, and …Covariance appears throughout investment management, e.g., in risk reporting and control, portfolio construction, risk … number to a mean and standard deviation, the latter representing uncertainty. Applications include more informative portfolio …
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Prefetching is a simple and general method for single-chain parallelisation of the Metropolis-Hastings algorithm based on the idea of evaluating the posterior in parallel and ahead of time. Improved Metropolis-Hastings prefetching algorithms are presented and evaluated. It is shown how to use...
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In this paper we explore the use of Genetic Algorithms (GA) to calibrate seasonal BVAR models. In this way, the mechanistic use of seasonal adjustment procedures is avoided, since seasonality becomes a structural, basic and explicit part of the BVAR model. At the same time, the use of GA allows...
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