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...

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)...

A notion of forecast quality is defined that is appropriate when returns forecasts are used in a simple investment decision. The relation between the conditional distribution of returns and optimal point forecasts for a risk neutral investor is characterised and it is shown that the conditional...

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...

The aim of this paper is to show, within the mean-variance framework, how the market belief can be constructed as the result of the aggregation of heterogeneous beliefs and how the market equilibrium prices of risky assets can thus be determined. The heterogeneous beliefs are defined in terms of...

This paper introduces a simulation model extending the well known Capital Asset Pricing Model by Sharpe and Lintner. Investors are modeled as multi-period forward looking portfolio optimizers. However, the future is not known \emph{a priori}, but has to be modeled and estimated. We allow agents...