Based on Bergara and Licandro´s Model (2001), this paper studies the relationship between the requirements of prudential regulations for risks management and its effects on the loans portfolio. The financial regulation (Basle´s Accords, I and II) becomes sensible to risks (using Value at...

Affine term structure models are widely applied for pricing of bonds and interest rate derivatives but the consistency of affine term structure models (ATSM) in cases when the short rate may be unbounded from below remains essentially an open question. The main stress in the classification paper...

This paper studies a competitive market model for trading indivisible commodities. Commodities can be desirable or undesirable. Agents' preferences depend on the bundle of commodities and the quantity of money they hold. We assume that agents have quasi-linear utilities in money. Using the...

In this paper I describe group theoretic methods that can be used for analyzing the boundary problems, which arise when the Hamiltonian method is applied to solve the relaxed problem for the multidimensional screening problem. This technique can provide some useful insights into the structure of...

Financial Market is a Complex System.Quantitative analysis of Complex system is difficult. There is little mensurable method in this field. But we often need describe the running pattern in complex system. How can we describe and find the running pattern (structure) change in complex system. The...

The recently proposed family of hypernormal density functions possess the analytically convenient and computationally efficient property of closed form moments and anti-derivatives in the univariate case. While this result allows many univariate applications to be solved faster and/or more...

In times of low-inflation, conventional monetary policy is perpetually exposed to the risk of being caught by the liquidity trap. As a part of a pre-emptive monetary policy to avoid the liquidity trap, many economists have pointed out that this risk can be possibly circumvented by targeting a...

Understanding and forecasting financial time series depend crucially on identifying any non-linearity which may be present. Recent developments in tests for non-linearity very commonly display low power, most likely because of over-smoothing and discarding pertinent information. In this...