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Effects of monetary policy uncertainty on debt financing: Evidence from Korean heterogeneous firms

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  • Cho, Dooyeon
  • Im, Pullip

Abstract

This study investigates the combined effects of monetary policy uncertainty (MPU) and firm characteristics on Korean heterogeneous firms' capital structures in the short- and long-terms. The results reveal that while both MPU and firm characteristics play a key role in short-term debt financing, they appear to be less significant in long-term debt financing. Such asymmetric responses are mainly attributed to different business strategies and debt maturities. Firms make decisions on long-term debt financing based on their internal plans rather than interest rates or MPU. In contrast, firms can choose the appropriate timing to refinance or issue debts at a more favorable interest rate when financing through short-term debts. We find that the marginal effects of firm characteristics on short-term debt ratios vary with the level of MPU. Furthermore, the marginal effects of MPU differ across heterogeneous firms because of distinct firm characteristics. However, an increase in MPU leads to a decline in short-term debt ratios over the sample period. Our results provide some insights into the design of monetary policies to manage highly leveraged firms especially with short-term debts.

Suggested Citation

  • Cho, Dooyeon & Im, Pullip, 2023. "Effects of monetary policy uncertainty on debt financing: Evidence from Korean heterogeneous firms," Journal of International Money and Finance, Elsevier, vol. 139(C).
  • Handle: RePEc:eee:jimfin:v:139:y:2023:i:c:s0261560623001614
    DOI: 10.1016/j.jimonfin.2023.102960
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    References listed on IDEAS

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    1. De Pooter, Michiel & Favara, Giovanni & Modugno, Michele & Wu, Jason, 2021. "Monetary policy uncertainty and monetary policy surprises," Journal of International Money and Finance, Elsevier, vol. 112(C).
    2. Husted, Lucas & Rogers, John & Sun, Bo, 2020. "Monetary policy uncertainty," Journal of Monetary Economics, Elsevier, vol. 115(C), pages 20-36.
    3. Hahn, Jinyong & Hausman, Jerry & Kuersteiner, Guido, 2007. "Long difference instrumental variables estimation for dynamic panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 140(2), pages 574-617, October.
    4. Peter Tillmann, 2020. "Monetary Policy Uncertainty and the Response of the Yield Curve to Policy Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(4), pages 803-833, June.
    5. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    6. Li, Xiao-Ming & Qiu, Mei, 2021. "The joint effects of economic policy uncertainty and firm characteristics on capital structure: Evidence from US firms," Journal of International Money and Finance, Elsevier, vol. 110(C).
    7. Kayhan, Ayla & Titman, Sheridan, 2007. "Firms' histories and their capital structures," Journal of Financial Economics, Elsevier, vol. 83(1), pages 1-32, January.
    8. Murray Z. Frank & Vidhan K. Goyal, 2009. "Capital Structure Decisions: Which Factors Are Reliably Important?," Financial Management, Financial Management Association International, vol. 38(1), pages 1-37, March.
    9. Huang, Rongbing & Ritter, Jay R., 2009. "Testing Theories of Capital Structure and Estimating the Speed of Adjustment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(2), pages 237-271, April.
    10. Ozturk, Ezgi O. & Sheng, Xuguang Simon, 2018. "Measuring global and country-specific uncertainty," Journal of International Money and Finance, Elsevier, vol. 88(C), pages 276-295.
    11. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2015. "In search of robust methods for dynamic panel data models in empirical corporate finance," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 84-98.
    12. Cho, Dooyeon & Kim, Husang, 2023. "Macroeconomic effects of uncertainty shocks: Evidence from Korea," Journal of Asian Economics, Elsevier, vol. 84(C).
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    More about this item

    Keywords

    Capital structure; Debt financing; Monetary policy uncertainty; Firm characteristics;
    All these keywords.

    JEL classification:

    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation

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