Cross-Sectional Financial Conditions, Business Cycles and The Lending Channel

T. Ferreira
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Abstract

I document business cycle properties of the full cross-sectional distributions of U.S. stock returns and credit spreads from financial and nonfinancial firms. The skewness of returns of financial firms (SRF) best predicts economic activity, while being a barometer for lending conditions. SRF also affects firm-level investment beyond firms' balance sheets, and adverse SRF shocks lead to macroeconomic downturns with tighter lending conditions in vector autoregressions (VARs). These results are consistent with a lending channel in which cross-sectional financial firms' balance sheets play a prominent role in business cycles. I rationalize this argument with a model that matches the VAR evidence.
横断面金融状况,商业周期和贷款渠道
我记录了美国股票收益和金融和非金融公司信贷息差的全横截面分布的商业周期属性。金融公司收益偏度(SRF)最能预测经济活动,同时也是贷款条件的晴雨表。SRF还影响企业资产负债表以外的企业层面投资,不利的SRF冲击导致宏观经济下滑,并在向量自回归(var)中收紧贷款条件。这些结果与横截面金融公司的资产负债表在商业周期中发挥突出作用的贷款渠道一致。我用一个与VAR证据相匹配的模型来合理化这个论点。
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