We solve in closed-form a continuous-time Nash equilibrium model in which a finite number of exponential investors continuously consume and trade strategically with price-impact. Compared to the analogous Pareto-efficient equilibrium model, price-impact has an amplification effect on...

The author previously developed a numerical multivariate path-integral algorithm, PATHINT, which has been applied to several classical physics systems, including statistical mechanics of neocortical interactions, options in financial markets, and other nonlinear systems including chaotic...

In this paper, we perform an in - depth investigation of relative merits of two adaptive learning algorithms with constant gain, Recursive Least Squares (RLS) and Stochastic Gradient (SG), using the Phelps model of monetary policy as a testing ground. The behavior of the two learning algorithms...

The economic crisis triggered by the COVID–19 pandemic once again raises doubts about the eurozone's ability to deal with joint economic problems given its dissimilar dynamics and asymmetries. This chapter contributes to a paradigm shift in the governance of the euro area towards a more...

For an economy characterized by neo-Keynesian wage rigidity, an optimal open market rule is derived based on financial market information, including auction price behavior. Simulations of a small model of the United States--estimated via full information maximum likelihood together with a...

The paper reconsiders the role of money and banking in monetary policy analysis by including a banking sector and money in an optimizing model otherwise of a standard type. The model is implemented quantitatively, with a calibration based on U.S. data. It is reasonably successful in providing an...