Publikationen

This paper examines the cross-sectional properties of stock return forecasts based on Fama–MacBeth regressions using all firms contained in the STOXX Europe 600 index during the September 1999–December 2018 period. Our estimation approach is strictly out of sample, mimicking an investor who exploits both historical and real-time information on multiple firm characteristics to predict returns. The models capture a substantial amount of the cross-sectional variation in true expected returns and generate predictive slopes close to one, i.e., the forecast dispersion mostly reflects cross-sectional variation in true expected returns. The return predictions translate into high value added for investors. For an active trading strategy, we find strong market outperformance net of transaction costs based on a variety of performance measures.

Using a system of equations model, we analyze how cash flow shocks influence the investment and financing decisions of shipping firms in different economic environments. Even financially healthy shipping firms felt strong negative effects on their financing activities during the recent crisis. These firms were nevertheless able to increase long-term debt. Banks internalized the impact of foreclosure decisions on vessel prices and avoided an industry-wide collateral channel effect. Even during benign economic conditions, financially weak shipping firms underinvest because of their inability to raise sufficient external capital. The substitution between long- and short-term debt during the pre-2008 crisis periods shows that the composition of financing sources is more indicative of whether firms face financial constraints than the pure size of the financing-cash flow sensitivities. An analysis of firms’ excess cash holdings confirms the importance of financial flexibility.

We analyze the zero-leverage phenomenon around the world. Countries with a common law system, high creditor protection, and a dividend imputation or dividend relief tax system exhibit the highest percentage of zero-leverage firms. The increasing prevalence of zero-leverage firms in all sample countries is related to market-wide forces during our sample period, such as IPO waves, shifts in industry composition, increasing asset volatility, and decreasing corporate tax rates. Firm-level comparisons reveal that only a small number of firms deliberately maintain zero-leverage. Most zero-leverage firms are constrained by their debt capacity. Analyzing the time-series dynamics of leverage and investment behavior, we further show that firms which pursue a zero-leverage policy only for a short period of time seek financial flexibility.