In this paper we propose a new tool for backtesting that examines the quality of Value-at- Risk (VaR) forecasts. To date, the most distinguished regression-based backtest, proposed by Engle and Manganelli (2004), relies on a linear model. However, in view of the di- chotomic character of the...

In this paper we use a copula-based GARCH model to estimate conditional variances and covariances of the multivariate relationship among English, German and French markets. To that, we used daily prices of FTSE100, DAX and CAC from July 2009 to July 2011, totalizing 508 observations. The...

In this paper we estimated pair copula constructions (PCC) for three sets of markets: developed, Latin emerging and Asia-Pacific emerging. To that, we used daily prices from January 2003 to November 2011, totaling 1872 observations. The last 200 observations were separated for posterior...

This paper proposes a new test of Value at Risk (VaR) validation. Our test exploits the idea that the sequence of VaR violations (Hit function) - taking value 1-α, if there is a violation, and -α otherwise - for a nominal coverage rate α verifies the properties of a martingale difference if...