We present a multi-stage stochastic programming model for managing portfolios of stock and bond indices denominated in multiple currencies. The portfolios are exposed to market risks and currency risks. Uncertainty in asset returns and exchange rates is represented by means of discrete...

Insurance companies invest their wealth in financial markets. The wealth evolution strongly depends on the success of their investment strategies, but also on liquidity shocks which occur during unfavourable years, when indemnities to be paid to the clients exceed collected premia. An investment...

A popular argument states that most of the diversification in a portfolio can be obtained with a rather small number of securities. In this paper we present three algorithms to approach the underlying NP-hard problem of portfolio optimization with a cardinality constraint. All three of these...

This paper aims at contributing to the research agenda on the sources of price stickiness, showing that the adoption of nominal price rigidity may be an optimal firms' reaction to the consumers' behavior, even if firms have no adjustment costs. With regular broadly accepted assumptions on...

Three methods have been developed by the authors for solving optimal experimentation problems. David Kendrick (1981, 2002, Ch.10) uses quadratic approximation of the value function and linear approximation of the equation of motion to simulate general optimal experimentation (active learning)...

We examine optimal and other monetary policies in a linear-quadratic setup with relatively general forms of model uncertainty. The forms of uncertainty our framework encompasses include: simple i.i.d. model deviations; serially correlated model deviations; estimable regime-switching models; more...

How is the design of efficient climate policies affected by the potentials for induced technological change and for future learning about key parameter uncertainties? We address this question using a new integrated climate-economy model incorporating endogenous technological change to explore...

I examine the impact of demand uncertainty on a firm's investment decisions. Recent theoretical work accounts for the degree of irreversibility of capital investment. Dixit and Pindyck deliver a clear prediction: an increase in uncertainty lowers current investment. With irreversible investment,...

Cosimano (2003) uses the perturbation method to approximate optimal experimentation problems in the neighborhood of the augmented linear regulator problem as formulated by Hansen and Sargent (2004) and Anderson, Hansen, McGratten and Sargent (1966). Cosimano and Gapen (2005) develop a computer...