Model risk as part of the operational risk is a serious problem for financial institutions. As the pricing of derivatives as well as the computation of the market or credit risk of an institution depend on statistical models the application of a wrong model can lead to a serious over- or...

The experience from the global financial crisis has raised serious concerns about the accuracy of standard risk measures as tools for the quantification of extreme downward risks. A key reason for this is that risk measures are subject to a model risk due, e.g. to specification and estimation...

__Abstract__ One of the most popular univariate asymmetric conditional volatility models is the exponential GARCH (or EGARCH) specification. In addition to asymmetry, which captures the different effects on conditional volatility of positive and negative effects of equal magnitude, EGARCH can...

__Abstract__ Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and...

This paper investigates the inter-temporal relationship between banking profitability, competition and risk of a sample of Chinese commercial banks by employing several profitability and risk indicators and using Seemingly Unrelated Regression (SUR) under a panel data framework over 2003-2009....

In the paper an econometric method of rating scales mapping is suggested. The method is based on the setting up ordered choice models for the ratings and mapping the correspondent latent variables («continuous ratings») with a monotone function. The method takes into account bank’s financial...

Hindsight of literature, last decadal studies and de facto corporate trends as studied in our empirical research conducted in hand revealed the fact that dividend payouts by the companies and their relative firms' value are based on the two theories i.e.

The objective of this paper is to provide a complete framework to aggregate different quantile and expectile models for obtaining more diversified Value-at-Risk and Expected Shortfall measures, by applying the diversification principle to model risk. Following Taylor [2008] and Gouriéroux and...

__Abstract__ One of the fastest growing areas in empirical finance, and also one of the least rigorously analyzed, especially from a financial econometrics perspective, is the econometric analysis of financial derivatives, which are typically complicated and difficult to analyze. The purpose of...

Starting an innovation project assumes to state some competitive objectives referring to the allocated budget, time limit for project’s ending and also to the quality and performance parameters of the new obtained product. Referring to the innovation project development, the risk of...