We analyze earnings forecasts retrieved from the I/B/E/S database concerning 596 firms for the sample 1995 to 2011, with a specific focus on whether these earnings forecasts can be predicted from available data. Our main result is that earnings forecasts can be predicted quite accurately using...

In this paper, we test empirically whether there is a relationship between corporate income taxes and CEO bonus payments. Using Compustat and ExecuComp data from 1992 to 2010, we find mixed results. Looking at the whole sample, the average bonus contract rewards tax savings excessively in...

An analysis of about 300000 earnings forecasts, created by 18000 individual forecasters for earnings of over 300 S&P listed firms, shows that these forecasts are predictable to a large extent using a statistical model that includes publicly available information. When we focus on the...

Baker (2002) has demonstrated theoretically that the quality of performance measures used in compensation contracts hinges on two characteristics: noise and distortion. These criteria, though, will only be useful in practice as long as the noise and distortion of a performance measure can be...

Earnings forecasts can be useful for investment decisions. Research on earnings forecasts has focused on forecast performance in relation to firm characteristics, on categorizing the analysts into groups with similar behaviour and on the effect of an earnings announcement by thefirm on future...

Health shocks are among the most important unprotected risks for microfinance clients, but the take-up of micro health insurance typically remains limited. This paper attributes low enrolment rates to a social dilemma. Our theory is that in jointly liable groups, insurance is a public good....

This discussion paper led to an article in the <I>Journal of Applied Econometrics</I> (2005). Vol. 20, issue 2, pages 311-323.<P> Various economic theories are available to explain the existence of credit and default cycles. There remains empirical ambiguity, however, as to whether or these cycles...</p></i>

We determine the magnitude and nature of systematic default risk using 1971{2009) default data from Moody's. We disentangle systematic risk factors due to business cycle effects, common default dynamics (frailty), and industry-specific dynamics (including contagion). To quantify the contribution...

We extend the Hidden Markov Model for defaults of Crowder, Davis, and Giampieri (2005) to include covariates. The covariates enhance the prediction of transition probabilities from high to low default regimes. To estimate the model, we extend the EM estimating equations to account for the time...

In this paper, we develop a new capital adequacy buffer model (CABM) which is sensitive to dynamic economic circumstances. The model, which measures additional bank capital required to compensate for fluctuating credit risk, is a novel combination of the Merton structural model which measures...