The empirical literature shows that firms overinvest in working capital and that these investments are economically inefficient. We decompose working capital investments in the cash conversion cycle and growth effects in the presence of x-inefficiency. We predict that reductions in the cash conversion cycle should increase shareholder value. Direct evidence follows from a case study of a listed company in Brazil, MRV. Changes in operations reduced CCC from 508days in 2012 to 351days in 2015, decreasing working capital requirements by US $1.02 billion. Indirect evidence comes from (1) a synthetic control comparing MRV's free cash flow to equity to its direct and distant competitors; (2) an event study of share prices, and (3) a dynamic cash flow estimation using Tobin's Q as the dependent variable. Outcomes suggest that CCC management, controlling for effects on operating margins, result in higher stock prices and profitability, and increased cash flow. The theoretical framework and results reconcile the literature and provide a rationale for the overinvestment and the inefficiency of working capital investments.

Prior research on the impact of market power on firms’ willingness to extend trade credit has produced inconsistent results, highlighting a critical gap in understanding firm behavior. This study addresses this issue by analyzing a comprehensive dataset of industrial firms across 26 countries, focusing on how the relationship between market power and trade credit depends on a country’s financial development level. Firms with monopolistic power often restrict credit provision to improve cash flow. However, our findings reveal a U-shaped relationship, where monopolistic firms in countries with either underdeveloped or highly developed financial sectors are more likely to extend trade credit than those in mid-level financial systems. This highlights the moderating role of financial development in shaping the interaction between market power and trade credit behavior.

This study proposes models that can be used as shorthand analysis tools for CDS spreads and CDS spread changes. For this purpose, we examine the determinants of CDS spreads and spread changes on a broad database of 718 US firms during the period from early 2002 to early 2013. Contrary to previous studies, we find that market variables have explanatory power after controlling for firm-specific variables inspired by structural models. Three explanatory variables appear to outperform the other variables examined in this paper: Stock Return, the change in stock return volatility, and the change in the median CDS spread in the rating class. We also find that models used in the event study literature to explain spread changes can be improved by adding market variables. Furthermore, we show that ratings explain cross-sectional variation in CDS spreads even after controlling for structural model variables.