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Evaluating the Impact of Geopolitical Risk on the Financial Distress of Indian Hospitality Firms

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  • Vandana Gupta

    (Finance & Accounting, FORE School of Management, New Delhi 110016, India)

Abstract

The study investigates the effect of geopolitical risk ( GPR ) on the financial distress of tourism & hospitality firms in India. Using two-step GMM, this study evaluates the impact of GPR, GPR Threat, GPR Action and GPR India on financial distress using Altman score for emerging markets as proxy for financial distress. Further, robustness is checked using Żmijewski score and financial distress ratio as proxies for financial distress. The study is extended by examining the impact of GPR specifically on firm life cycle (age) and firm size and on private and public firms. Our empirical investigation demonstrates that all measures of geopolitical risk increase the chances of financial distress of hospitality firms and our findings are robust to alternative measures of financial distress. By considering GPR as an alternate measure of uncertainty in the hospitality industry, this study contributes to the emerging literature on the factors influencing financial distress of hospitality firms. The study also identifies three accounting measures for proxies of financial distress. Policymakers, regulators and management can pre-empt the impact of uncertain external factors by formulating suitable plans and measures as also for post recovery measures to safeguard firms against bankruptcy. Firms can plan their financing decisions and cash management proactively to reduce financial risk.

Suggested Citation

  • Vandana Gupta, 2024. "Evaluating the Impact of Geopolitical Risk on the Financial Distress of Indian Hospitality Firms," JRFM, MDPI, vol. 17(12), pages 1-19, November.
    • Handle: RePEc:gam:jjrfmx:v:17:y:2024:i:12:p:535-:d:1528978
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    References listed on IDEAS

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    1. Stefano Ramelli & Alexander F Wagner, 2020. "Feverish Stock Price Reactions to COVID-19," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 9(3), pages 622-655.
    2. Imad Jabbouri & Hamza Almustafa, 2020. "Corporate cash holdings, firm performance and national governance: evidence from emerging markets," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 17(5), pages 783-801, November.
    3. Rao, Sandeep & Koirala, Santosh & Aldhawyan, Sulaiman & Corbet, Shaen, 2023. "Geopolitical risk and M&A: The role of national governance institutions," Economics Letters, Elsevier, vol. 225(C).
    4. Killins, Robert N., 2020. "Firm-specific, industry-specific and macroeconomic factors of life insurers’ profitability: Evidence from Canada," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    5. Conrado Diego García-Gómez & Ender Demir & Ming-Hsiang Chen & José María Díez-Esteban, 2022. "Understanding the effects of economic policy uncertainty on US tourism firms’ performance," Tourism Economics, , vol. 28(5), pages 1174-1192, August.
    6. Faruk Balli & Gazi Salah Uddin & Syed Jawad Hussain Shahzad, 2019. "Geopolitical risk and tourism demand in emerging economies," Tourism Economics, , vol. 25(6), pages 997-1005, September.
    7. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    8. Soo-Seon Park & Murat Hancer, 2012. "A Comparative Study of Logit and Artificial Neural Networks in Predicting Bankruptcy in the Hospitality Industry," Tourism Economics, , vol. 18(2), pages 311-338, April.
    Full references (including those not matched with items on IDEAS)

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