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...

We implement a long-horizon static and dynamic portfolio allocation involving a risk-free and a risky asset. This model is calibrated at a quarterly frequency for ten European countries. We also use maximum-likelihood estimates and Bayesian estimates to account for parameter uncertainty. We find...

We propose a new approach that allows for incorporating qualitative views, such as ordering information, into estimates of future asset returns within the Black-Litterman model. We develop a mathematical framework and numerical computation methods for this setting. We find importance sampling to...

Retailers face the important but challenging task of optimizing their product assortments. The challenge is to find, for every category in every store, the assortment that maximizes (expected) category profit. Adding to the complexity of this 0-1 knapsack problem, retailers should also consider...

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...

In this paper we analyze the factors that should be considered when allocating a given policy function at a particular level of government and how these factors affect the growth and evolution of multi-level governments. After discussing the interplay of economies of scale, economies of scope,...

It is evident that linear programming model remains the most potent mathematical tool for the efficient allocation of scarce operational resources of an organization. Whilst projecting the graphical method as the easiest solution approach to linear programming where only two constraining factors...

We study the optimal accounting policy of a financially constrained firm that pledges assets to raise debt capital for financing a risky project. The accounting system provides information about the value of the collateral. Absent accounting regulation, the optimal accounting system is...

This chapter discusses personal financial planning, which is an interdisciplinary practice that employs a six-step process to develop integrated strategies for individuals and families to efficiently mobilize their human and financial capital to achieve their life goals. Financial planning draws...

I/B/E/S removes 6% of one-quarter-ahead earnings forecasts from the calculation of the consensus forecast. This study examines managers' role in these removals. We show optimistic forecasts are removed more often than pessimistic forecasts, after controlling for removal policies that I/B/E/S...