In this paper, we consider how the intensity and channels of the relation between social networks and bank loyalty vary according to the state of the economy. We analyze bank exit over the period 2005–2012 for over 300,000 retail clients of a commercial bank that experienced a bank run in 2008 due to a shock in solvency risk. The unique and rich data we constructed in close collaboration with the bank enables us to distinguish different sorts of family networks from neighborhood networks, while controlling for a wide range of client-level and branch-level characteristics and events. Using a proportional hazards model, we show the importance of family networks. In times of financial distress, family networks become even more important and retail clients take weaker, less direct social relationships into account.

We contribute to the financial constraints literature and the investment-cash flow sensitivity debate by defining a new and simple index of firm level financial constraints for unquoted European SMEs. Firms that are constrained according to our index pay higher interest rates on their debt. An exogenous financial supply shock reveals that our index also captures financial constraints in terms of the volume of credit. Our index outperforms existing indices in capturing financial constraints of unquoted SMEs. Finally, employing our proposed index to identify financially constrained firms and using firm-level employment growth as a control for investment opportunities, we find that constrained firms display the highest investment-cash flow sensitivities.