Corporate Financing Activities and Business Cycle Fluctuations

ABSTRACT We examine whether corporate financing activities (CFA) in aggregate convey information about the macroeconomy. Using statement of cash flow information to construct a bottom-up measure of CFA, we find that it has significant predictive power for future economic activity when we exclude a small set of firms whose external financing is largely insulated from macroeconomic conditions. This CFA index has predictive power beyond that of the Gilchrist-Zakrajsek credit spread, aggregate earnings, and other macroeconomic indicators in predicting future GDP in both in-sample and out-of-sample forecasting tests. Impulse responses from a structural vector autoregression show that unexpected decreases in this CFA index lead to a large and persistent contraction in economic activity for up to four quarters. Our results suggest that a simple portfolio-based CFA measure helps capture supply-of-capital effects from the financial accelerator mechanism and hence has significant incremental predictive power for real economic activity. Data Availability: Data are available from the public sources cited in the text. JEL Classifications: E32; E37; G17; M41.

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Publication Details

Journal
The Accounting Review
Published
2025-05-19
DOI
https://doi.org/10.2308/tar-2020-0338
Primary Topic
Corporate Finance and Governance
Type
article
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0.00
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article

Corporate Financing Activities and Business Cycle Fluctuations

Rebecca N. Hann, Laurel Mazur, Hyeon-Ji Lee, Congcong Li
The Accounting Review
Corporate Finance and Governance
article

Corporate Financing Activities and Business Cycle Fluctuations

Rebecca N. Hann, Laurel Mazur, Hyeon-Ji Lee, Congcong Li
article en

Abstract

ABSTRACT We examine whether corporate financing activities (CFA) in aggregate convey information about the macroeconomy. Using statement of cash flow information to construct a bottom-up measure of CFA, we find that it has significant predictive power for future economic activity when we exclude a small set of firms whose external financing is largely insulated from macroeconomic conditions. This CFA index has predictive power beyond that of the Gilchrist-Zakrajsek credit spread, aggregate earnings, and other macroeconomic indicators in predicting future GDP in both in-sample and out-of-sample forecasting tests. Impulse responses from a structural vector autoregression show that unexpected decreases in this CFA index lead to a large and persistent contraction in economic activity for up to four quarters. Our results suggest that a simple portfolio-based CFA measure helps capture supply-of-capital effects from the financial accelerator mechanism and hence has significant incremental predictive power for real economic activity. Data Availability: Data are available from the public sources cited in the text. JEL Classifications: E32; E37; G17; M41.

The Accounting ReviewVol. 100(5)
University of Notre Dame (US), Duquesne University (US), University of Maryland, College Park (US)
Openalex Percentile: Top 85%
Corporate Finance and Governance
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