This paper investigates whether product market power affects trade credit decisions. We exploit the 2007-08 credit crisis in the U.S. as a source of variation in the importance of product market power for trade credit. We find that a one standard deviation increase in market power is associated to a decrease in payables of approximately four days during the crisis, showing that high market power firms alleviate financial constraints from their suppliers to avoid the loss of monopoly rents. Our inferences are robust to structural and non-structural measures of market power, both at the firm and at the industry levels, and the inclusion of controls to address potential confounding effects deriving from other firm features, including financial constraints, industry specific shocks and macroeconomic effects.Abstract: This paper investigates whether product market power affects trade credit decisions. We exploit the 2007-08 credit crisis in the U.S. as a source of variation in the importance of product market power for trade credit. We find that a one standard deviation increase in market power is associated to a decrease in payables of approximately four days during the crisis, showing that high market power firms alleviate financial constraints from their suppliers to avoid the loss of monopoly rents. Our inferences are robust to structural and non-structural measures of market power, both at the firm and at the industry levels, and the inclusion of controls to address potential confounding effects deriving from other firm features, including financial constraints, industry specific shocks and macroeconomic effects.Abstract: This paper investigates whether product market power affects trade credit decisions. We exploit the 2007-08 credit crisis in the U.S. as a source of variation in the importance of product market power for trade credit. We find that a one standard deviation increase in market power is associated to a decrease in payables of approximately four days during the crisis, showing that high market power firms alleviate financial constraints from their suppliers to avoid the loss of monopoly rents. Our inferences are robust to the use of structural and non-structural measures of market power, both at the firm and at the industry levels, and to the inclusion of controls to address potential confounding effects deriving from other firm features, including financial constraints, industry specific shocks and macroeconomic effects.

Purpose -The objective of this study is to analyze the impact of changes in credit ratings on the long-term return of Brazilian firms.Design/methodology/approach -We conducted an event study to measure how stock prices in the Brazilian stock exchange (B3) react to rating upgrades and downgrades by Moody's and S&P.Findings -Our sample presents positive and significant returns measured by the BHAR for ratings downgrades and non-significant ones for upgrades. Our data also show the important role of the previous rating in explaining these results in a non-linear fashion.Originality/value -Our research makes an important contribution to the theory of market efficiency, analyzing the degree of information present in the announcements of credit ratings changes. We also present results for Brazilian companies, correcting gaps pointed out in previous methodologies.

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This study investigates the maturity structure of listed non-financial Brazilian companies from 2010 to 2019 and reveals that these companies do not spread their debt maturities upon renewal, unlike the results observed by Choi et al. (2018) for US firms. Even after the rollover shock in 2015 where the Brazilian sovereign debt’s investment were downgraded, these firms did not increase the maturity spread of their debt. In addition, the research evaluated corporate debt management by utilizing Brazil’s downgrade as a “quasi-natural experiment” in the exogenous shock model. The results indicate that Brazilian companies may face considerable debt rollover risks due to the concentration of maturities in specific maturity ranges during future credit shocks. Proper control of financing structures is crucial to ensure that companies remain resilient and do not have to turn down profitable investments or high-quality assets during financial crises. This research has significant implications for corporate practice and the associated risks of financing profitable projects, particularly in countries with less efficient capital markets.

Forecasting interest rates structures plays a fundamental role in the fixed income and bond markets. The development of dynamic modeling, especially after Nelson and Siegel (1987) work, parsimonious models based in a few parameter shed light over a new path for the market players. Despite the extensive literature on the term structure of interest rates modeling and the existence in the Brazilian market of various yield curves from different traded asset classes, the literature focused only in the fixed rate curve. In this work we expand the existing literature on modeling the term structure of Brazilian interest rates evaluating all the yield curves of Brazilian market using the methodology proposed by Nelson and Siegel. We use Non Linear Least Squares (NLLS) to estimate the model parameters for almost 10 years of monthly data and model these parameters with the traditional VAR/VEC model. The results show that it is possible to estimate the Nelson Siegel model for the Brazilian curves. It remains for future research the modeling of their variances as well as the possibility to develop a global Brazilian model using Kalman Filter using the Diebold. Li. and Yue (2006) approach.