This paper considers a multi-period mean–variance portfolio selection problem with uncertain time-horizon in a regime-switching market, where the conditional distribution of the time-horizon is assumed to be stochastic and depends on the market states as the returns of risky assets do....

We investigate in this paper a continuous-time mean–variance portfolio selection problem in a general market setting with multiple assets that all can be risky. Using the Lagrange duality method and the dynamic programming approach, we derive explicit closed-form expressions for the efficient...

Selecting program portfolios within a budget constraint is an important challenge in the management of new product development (NPD). Optimal portfolios are difficult to define because of the combinatorial complexity of project combinations. However, at the aggregate level of the strategic...

Im Mittelpunkt der Arbeit steht die theoretische und empirische Analyse von Angebot und Nachfrage auf den Im- und Exportmärkten. Sie ist mit dem Ziel verknüpft, die Reagibilität von Preisen und Mengen im Außenhandel in Bezug auf Änderungen des realen Wechselkurses und der wirtschaftlichen...

We analyze the impact of an increase in the legal retirement age on the effective retirement age in the Netherlands. We do this by means of a dynamic programming model for the retirement behavior of singles. The model is applied to new administrative data that contain very accurate and detailed...

We develop a model of household demand for frequently purchased consumer goods that are branded, storable and subject to stochastic price fluctuations. Our framework accounts for how inventories and expectations of future prices affect current period purchase decisions. We estimate our model...

We consider the problem of dynamic portfolio optimization in a discrete-time, finite-horizon setting. Our general model considers risk aversion, portfolio constraints (e.g., no short positions), return predictability, and transaction costs. This problem is naturally formulated as a stochastic...

We study the problem faced by a supplier deciding how to dynamically allocate limited capacity among a portfolio of customers who remember the fill rates provided to them in the past. A customer's order quantity is positively correlated with past fill rates. Customers differ from one another in...