Currently, many monetary and fiscal policy measures are aimed at preventing the financial market meltdown that started in the US subprime sector and has spread worldwide as a great recession. Although some slow recovery appears to be on the horizon, it is worthwhile exploring the fragility and...

In the last months, the world's economies were confronted with the largest economic recession since the Great Depression. The occurrence of a worldwide financial market meltdown as a consequence originally stemming from of the crisis in the US subprime housing sector was only prevented by...

In this article, we present a procedure for obtaining an optimal solution to the Markowitz's mean-variance portfolio selection problem based on the analytical solution developed in a previous research that lead to the emergence of an important model known as the Black Model. The procedure is...

An application of the Stokes' theorem is illustrated by solving the two state problem, with inequality constraints, of Dobell and Ho concerning the optimal investment of resources. Whenever applicable, the Stokes' theorem approach seems to be elegant and parsimonious

Quantifying the economic capital and optimally allocating it into portfolios of financial instruments are two key topics in the asset/liability management (ALM) of an insurance company. In general these problems are studied in the literature by minimizing standard risk measures such as the value...

In New Keynesian as well as in Post Keynesian macroeconomic models, money supply is assumed to be endogenous. The reasons for the endogeneity and the role of the financial sector in the supply process, however, are seen very different. In this paper we explicitly derive the behaviour of the...

This paper investigates quantitative significance of liquidity constraints for asset prices and monetary policy in a monetary economy version of Kiyotaki and Moore (2005). Motivated by the lack of commitment in the intertemporal asset trade, the model economy features limited resalability of...