This paper documents significant differences in the financing structure of small firms with managers of diverse cultural backgrounds. To separate the effect of culture from other factors that affect the financing structure of firms, we exploit cultural heterogeneity within a geographical area with shared regulations, institutions, and macroeconomic cycles. Our findings suggest that there exist significant differences in the culturally embedded preferences towards the use of formal and informal sources of financing (bank loans and trade credit). Our results are robust to alternative explanations based on potential differences in credit constraints and in the distribution of cultural origins across industrial sectors, trading partners, and headquarters location.
We investigate whether investor reactions to the announcement of a new outside director appointment significantly depend upon the director's experience in the appointing firm's industry. Our sample includes 688 outside director appointments to boards of S&P 500 companies from 2005 to 2010. We find significantly higher announcement returns upon appointments of experienced versus inexperienced directors. To alleviate endogeneity concerns, we use the deaths of 200 directors holding 280 outside directorships as an identification strategy and find significantly more negative announcement returns associated with the deaths of experienced versus inexperienced directors. However, while our results are robust to accounting for time-fixed unobservable director and firm characteristics, we still cannot completely rule out endogenous firm-director matching driving our results.
We use an affine asset pricing model to jointly value stocks and bonds. This enables us to derive endogenous correlations and to explain how economic fundamentals influence the correlation between stock and bond returns. The presented model is implemented for G7 post-war economies and its in-sample and out-of-sample performance is assessed by comparing the correlations generated by the model with conventional statistical measures. The affine framework developed in this paper is found to generate stock-bond correlations that are in line with empirically observed figures.
