Options should play an important role in asset allocation. They allow for kernel spanning and provide access to additional (priced) risk factors such as stochastic volatility and negative jumps. Unfortunately, traditional methods of asset allocation (e.g. mean-variance optimization) are not...

In the sequence of the recent financial and economic crisis, the level of government indebtedness has increased considerably in many European and Monetary Union (EMU) countries. Besides i) undermine the sustainability of public finances and ii) amplify steady-state distortions relative to the...

We use a human–subjects experiment to investigate how bargaining outcomes are affected by changes in the bargainers’ disagreement payoffs. Subjects play one of two bargaining games – a standard simultaneous–move Nash demand game, or a related unstructured bargaining game – against...

In diesem Beitrag wird der Frage nachgegangen, inwieweit Optimierungsansätze wie lineare Programmierungsmodelle geeignet sind, bessere Entscheidungen als reale Entscheider zu treffen. Auch beleuchtet werden Unterschiede im Entscheidungsverhalten und in den Produktionsstrategien. Dazu lassen wir...

Bajari, Benkard and Levin (2007) propose an estimation methodology for a broad class of dynamic optimization problems. To carry out their procedure, one needs to select a set of alternative policy functions and compare the implied expected payoffs with that from the data. We show that this can...

Bajari, Benkard and Levin (2007) propose an estimation methodology for a broadclass of dynamic optimization problems. To carry out their procedure, one needs toselect a set of alternative policy functions and compare the implied expectedpayoffs with that from the data. We show that this can...

In this paper we introduce a time-dependent probabilistic location model for Emergency Medical Service (EMS) vehicles. The goal is to maximize the expected coverage throughout the day and at the same time minimize the number of opened facilities and the number of relocations. We apply our model...