The purpose of this paper is to evaluate the effect of dimensionality and probability of exercise of a European call option on the precision improvements obtained by the usage of Descriptive Sampling on a Monte Carlo Simulation to price such derivative as opposed to the use of traditional Simple...

According to previous results, the main variance reduction techniques performed well during the Monte Carlo simulation of Asian calls (Marins, Santos e Saliby, 2003). Control Variate best performed in terms of the precision of the estimates, whereas Descriptive Sampling was the fastest...

We use microdata from the Credit Information System (SCR) of the Central Bank of Brazil to study the relationship between credit default and business cycles. In particular, we study the first part of the argument underlying the discussion about procyclicality related to the Basel II Accord: that...

In this paper, we construct several multi-step-ahead density forecasts for the foreign exchange (FX) rate based on statistical, financial data and economic-driven approaches. The objective is to go beyond the standard conditional mean investigation of the FX rate and (for instance) allow for...

The aim of this paper is to examine empirically whether the default of borrower companies in the Brazilian market rises in downturns. To this end, a probit model for the probability of default is developed based on credit microdata taken from the Credit Information System of the Central Bank of...

From data in the Central Bank of Brazil’s Credit Information System we empirically estimated the default correlation matrices of retail loans made between 2003 and 2008. The loan modalities studied were Consumer Credit and Vehicle Financing. We identified an increased probability and...

Monte Carlo simulation is implemented in some of the main models for estimating portfolio credit risk, such as CreditMetrics, developed by Gupton, Finger and Bhatia (1997). As in any Monte Carlo application, credit risk simulation according to this model produces imprecise estimates. In order to...

As in any Monte Carlo application, simulation option valuation produces imprecise estimates. In such an application, Descriptive Sampling (DS) has proven to be a powerful Variance Reduction Technique. However, this performance deteriorates as the probability of exercising an option decreases. In...

Using data drawn from the Brazilian Central Bank Credit Information System (SCR), this paper investigates the loss incurred by financial institutions given clients defaults - Loss Given Default (LGD) - in Brazilian credit market from January 2003 to September 2007. According to Basel II, it is...

Using data drawn from the Brazilian Central Bank Credit Information System, this paper evaluates the impact of the use of collateral on the probability of default and, consequently, on capital requirement levels in the Brazilian financial system. Literature suggests that the existence of...