We explore methods for solving continuous-time, finite-state dynamic games, and document the advantages of such models over comparable discrete-time models. In particular, continuous-time models are more flexible since they avoid lumpiness in time, and computational methods for continuous-time...

This paper analyses the pension system in Turkey using Computable General Equilibrium (CGE) and Overlapping Generations Models (OLG). The objective of the paper is to evaluate the effects of current pension policies on the macroeconomic aggregates when a segmented and asymmetric labor market is...

This paper studies a financial market in which heterogeneous investors with multiperiod planning horizons of arbitrary finite length interact dynamically. Assumptions on individual preferences and subjective expectations are provided under which asset demand functions and market clearing prices...

Using GP with lambda abstraction module mechanism to generate technical trading rules based on S&P 500 index, we find strong evidence of excess returns over buy-and-hold after transaction cost on the testing period from 1989 to 2002. The rules can be interpreted easily; each uses a combination...

We examine several named subsets of the wealthiest individuals in the US and the UK that are compiled by Forbes Magazine and Sunday Times. The data support conventional wisdom of a wealth distribution with power law-distributed right tail, and they allow us to calibrate a statistical equilibrium...

In standard static Mean-Variance approach portfolio is presented by one allocation vector optimized in terms of expected returns & variance-covariance (VcV) matrix. Such one-dimensional approach is not suitable for Fixed Income: i) portfolio cannot be described by allocation vector only, and ii)...

We assess the ability of new open economy models to match OECD business cycle data. We adopt a canonical new open economy model with varying degrees of nominal inertia, monopolistic competition and distribution costs and assess the contribution of each facet of this model to help explain jointly...

Wavelets are a useful analytical tool to study economic decisions on different times scales. Wavelets are particular types of function that are localized both in time and frequency domain and used to decompose a function f(x) (i.e. a signal, a surface, a series, etc..) into more elementary...

This paper examines the effects of uncertainty through dynamic learning about the firm's project value in the real options framework. We extend the real options framework with incomplete information by allowing an unobserved state variable that drives profits to follow a stochastic process with...

We develop a learning rule that generalises the well known fading memory learning in the sense that the weights attached to the available time series data are not constant and are updated in light of the prediction error(s). The underlying idea is that confidence in the available data will be...