This study assesses the impact of the quality of bankruptcy data on the estimation and evaluation of bankruptcy prediction models. To meet this objective, we develop a systematic methodology to obtain bankruptcy information from corporate news releases and public sources. Then, applying this...

It is well known that information arrival has an impact on prices volatility, and trading volume in financial markets (see e.g., Goodhart and O'Hara 1997). Scheduled macroeconomic announcements, such as monthly employment figures, consumer prices, or building permits, stand out from the steady...

We study the effect of the business cycle on optimal capital structure choice and the benefit to leverage. We propose a regime switching model with a state-dependent cash flow process to capture macroeconomic risk in a firm's cash flow. Our model is parsimonious but still realistic and allows...

Standard equity valuation approaches (i.e., DDM, RIM, and DCF model) are derived under the assumption of ideal conditions, such as infinite payoffs and clean surplus accounting. Because these conditions are hardly ever met, we extend the standard approaches, based on the fundamental principle of...

We analyze the quality of macroeconomic survey forecasts. Recent findings indicate that they are anchoring biased. This irrationality would challenge the results of a wide range of empirical studies, e.g., in asset pricing, volatility clustering or market liquidity, which rely on survey data to...

There is strong evidence that macroeconomic releases influence prices in financial markets. However, why do markets react to some announcements while they ignore others with a similar content? Based on a Bayesian learning model, we show that market impact is mainly determined by information...