Most bank efficiency studies that use stochastic frontier analysis (SFA) employ each bank's own implicit input price when estimating efficient frontiers. But the theoretical foundation of most studies is a cost minimisation and/ or profit maximisation problem assuming perfect input markets. At...

We argue for incorporating the financial economics of market microstructure into the financial econometrics of asset return volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent returns and market microstructure noise,...

The paper analyzes a two-factor credit risk model allowing to capture default and recovery rate variation, their mutual correlation, and dependence on various explanatory variables. At the same time, it allows computing analytically the unexpected credit loss. We propose and empirically...

The paper argues that it would be natural to replace the standard normal distribution function by the logistic function in the regulatory Basel II (Vasicek's) formula. Such a model would be in fact consistent with the standard logistic regression PD modeling approach. An empirical study based on...

Credit risk is an important issue in many finance areas, such as the determination of cost of capital, the valuation of corporate bonds and pricing of credit derivatives. Credit risk has also been a cause and consequence of the current financial crisis. Thus, methods for measuring credit risk,...

Observed high-frequency prices are contaminated with liquidity costs or market microstructure noise. Using such data, we derive a new asset return variance estimator inspired by the market microstructure literature to explicitly model the noise and remove it from observed returns before...

Persistent shifts in equilibria are likely to arise in oligopolistic markets and may be detrimental to the measurement of conduct, related markups and intensity of competition. We develop a cointegrated VAR (vector autoregression) based approach to detect long-run changes in conduct when data...

Credit risk is an important issue in many nance areas, such as the determinationof cost of capital, the valuation of corporate bonds and pricing of credit derivatives.Credit risk has also been a cause and consequence of the current nancial crisis.Thus, methods for measuring credit risk, default...

Financial institutions are faced with the challenge to forecast future credit portfolio losses.It is common practice to focus on portfolio models consisting of a limited set of parameters,such as the probability of default, asset correlation, loss given default or exposure at default.A simple...

The present paper shows how the parameters of three popular portfolio credit risk models can be empiricallyestimated by banks using a Maximum Likelihood framework. We apply the method to a database of Germanfirms provided by Deutsche Bundesbank and analyze the inclusion of macroeconomic and...