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Impact of geopolitical risk on target debt ratio

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  • Shrestha, Keshab
  • Philip, Sheena Sara Suresh
  • Khaw, Karren Lee-Hwei

Abstract

Geopolitical risks (GPR) expose firms to uncertainties that can affect business operations, corporate decisions, and outcomes. We hypothesize that higher GPR is associated with a lower firm's target debt ratio (TDR) because a higher GPR increases the probability of default. Consistent with our hypothesis, we find a significant negative association between GPR and TDR. Additionally, we observe a significant negative association between GPR and distance-to-default score, supporting our view that higher GPR is linked to a greater probability of default. Further heterogeneity analysis indicates that high-tech firms are more vulnerable to the adverse impact of GPR than low-tech firms.

Suggested Citation

  • Shrestha, Keshab & Philip, Sheena Sara Suresh & Khaw, Karren Lee-Hwei, 2024. "Impact of geopolitical risk on target debt ratio," Finance Research Letters, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:finlet:v:60:y:2024:i:c:s1544612323013363
    DOI: 10.1016/j.frl.2023.104964
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    as
    1. Elsas, Ralf & Florysiak, David, 2015. "Dynamic Capital Structure Adjustment and the Impact of Fractional Dependent Variables," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(5), pages 1105-1133, October.
    2. David López-Salido & Jeremy C. Stein & Egon Zakrajšek, 2017. "Credit-Market Sentiment and the Business Cycle," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(3), pages 1373-1426.
    3. Dario Caldara & Matteo Iacoviello, 2022. "Measuring Geopolitical Risk," American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
    4. Hovakimian, Armen & Opler, Tim & Titman, Sheridan, 2001. "The Debt-Equity Choice," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(1), pages 1-24, March.
    5. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    6. Ivo Welch, 2004. "Capital Structure and Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 106-131, February.
    7. Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.
    8. Chak Hung Jack Cheng & Ching-Wai (Jeremy) Chiu, 2018. "How important are global geopolitical risks to emerging countries?," International Economics, CEPII research center, issue 156, pages 305-325.
    9. Wei-Fong Pan, 2019. "Geopolitical Risk and R&D investment," Economics Discussion Papers em-dp2019-11, Department of Economics, University of Reading.
    10. Faulkender, Michael & Flannery, Mark J. & Hankins, Kristine Watson & Smith, Jason M., 2012. "Cash flows and leverage adjustments," Journal of Financial Economics, Elsevier, vol. 103(3), pages 632-646.
    11. Im, Hyun Joong & Kang, Ya & Shon, Janghoon, 2020. "How does uncertainty influence target capital structure?," Journal of Corporate Finance, Elsevier, vol. 64(C).
    12. Strebulaev, Ilya A. & Whited, Toni M., 2012. "Dynamic Models and Structural Estimation in Corporate Finance," Foundations and Trends(R) in Finance, now publishers, vol. 6(1–2), pages 1-163, November.
    13. Eugene F. Fama, 2002. "Testing Trade-Off and Pecking Order Predictions About Dividends and Debt," The Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 1-33, March.
    14. Dominique Dufour & Philippe Luu & Pierre Teller, 2018. "The influence of cash flow on the speed of adjustment to the optimal capital structure," Post-Print hal-01661646, HAL.
    15. Malcolm Baker & Jeffrey Wurgler, 2002. "Market Timing and Capital Structure," Journal of Finance, American Finance Association, vol. 57(1), pages 1-32, February.
    16. Suman Banerjee & Mark Humphery-Jenner & Vikram Nanda, 2015. "Restraining Overconfident CEOs through Improved Governance: Evidence from the Sarbanes-Oxley Act," The Review of Financial Studies, Society for Financial Studies, vol. 28(10), pages 2812-2858.
    17. Flannery, Mark J. & Rangan, Kasturi P., 2006. "Partial adjustment toward target capital structures," Journal of Financial Economics, Elsevier, vol. 79(3), pages 469-506, March.
    18. Milani, Fabio, 2017. "Sentiment and the U.S. business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 289-311.
    19. Jia, Shaoqing & Yang, Liuyong & Zhou, Fangzhao, 2022. "Geopolitical risk and corporate innovation: Evidence from China," Journal of Multinational Financial Management, Elsevier, vol. 66(C).
    20. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    21. Khoo, Joye & Cheung, Adrian (Wai Kong), 2021. "Does geopolitical uncertainty affect corporate financing? Evidence from MIDAS regression," Global Finance Journal, Elsevier, vol. 47(C).
    22. Chi-Chuan Lee & Jian Zhang & Chin-Hsien Yu & Lei Fang, 2023. "How Does Geopolitical Risk Affect Corporate Innovation? Evidence from China’s Listed Companies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(7), pages 2217-2233, May.
    23. Wolfgang Drobetz & Dirk C. Schilling & Henning Schröder, 2015. "Heterogeneity in the Speed of Capital Structure Adjustment across Countries and over the Business Cycle," European Financial Management, European Financial Management Association, vol. 21(5), pages 936-973, November.
    24. Mark T. Leary & Michael R. Roberts, 2005. "Do Firms Rebalance Their Capital Structures?," Journal of Finance, American Finance Association, vol. 60(6), pages 2575-2619, December.
    25. Alnori, Faisal & Alqahtani, Faisal, 2019. "Capital structure and speed of adjustment in non-financial firms: Does sharia compliance matter? Evidence from Saudi Arabia," Emerging Markets Review, Elsevier, vol. 39(C), pages 50-67.
    26. Yang, Jianlei & Yang, Chunpeng, 2021. "The impact of mixed-frequency geopolitical risk on stock market returns," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 226-240.
    27. Zaremba, Adam & Cakici, Nusret & Demir, Ender & Long, Huaigang, 2022. "When bad news is good news: Geopolitical risk and the cross-section of emerging market stock returns," Journal of Financial Stability, Elsevier, vol. 58(C).
    28. Kelly Nianyun Cai & Xiaoquan Jiang & Hei Wai Lee, 2013. "Debt Ipo Waves, Investor Sentiment, Market Conditions, And Issue Quality," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 36(4), pages 435-452, December.
    29. Graham, John R. & Harvey, Campbell R., 2001. "The theory and practice of corporate finance: evidence from the field," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 187-243, May.
    30. Antoniou, Antonios & Guney, Yilmaz & Paudyal, Krishna, 2008. "The Determinants of Capital Structure: Capital Market-Oriented versus Bank-Oriented Institutions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(1), pages 59-92, March.
    31. Sreedhar T. Bharath & Tyler Shumway, 2008. "Forecasting Default with the Merton Distance to Default Model," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1339-1369, May.
    32. Malcolm Baker & Jeffrey Wurgler, 2012. "Comovement and Predictability Relationships Between Bonds and the Cross-section of Stocks," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 2(1), pages 57-87.
    33. Chen, Zhenxi & Lien, Donald & Lin, Yaheng, 2021. "Sentiment: The bridge between financial markets and macroeconomy," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1177-1190.
    34. de Miguel, Alberto & Pindado, Julio, 2001. "Determinants of capital structure: new evidence from Spanish panel data," Journal of Corporate Finance, Elsevier, vol. 7(1), pages 77-99, March.
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    Cited by:

    1. António Afonso & José Alves & Sofia Monteiro, 2024. "Echoes of Instability: How Geopolitical Risks Shape Government Debt Holdings," CESifo Working Paper Series 11235, CESifo.

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    More about this item

    Keywords

    Geopolitical risk; Target debt ratio; Distance-to-default; High-tech firms;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • G40 - Financial Economics - - Behavioral Finance - - - General

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