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A Literature Review on the Financial Determinants of Hotel Default

Author

Listed:
  • Theodore Metaxas

    (Department of Economics, University of Thessaly, 78, October 28th, 38333 Volos, Greece)

  • Athanasios Romanopoulos

    (Department of Economics, University of Thessaly, 78, October 28th, 38333 Volos, Greece)

Abstract

Empirical corporate failure studies focusing on specific economic activities are increasing in number, as this path can be a more precise investigation of default, although still there is a gap in the literature reviews at the sector level. The purpose of this study is to focus on the hotel sector and isolate the financial determinants linked to hotel default, as the approach of accounting-based models is the most frequent practice. To arrange the variety of outputs, a thorough design is applied based on specific inclusion and exclusion criteria, leading to 29 studies, which are further narrated, focusing mainly on the financial dimension. In addition, information on the study design is recorded in an aggregated table. The most frequent stylized results show that debt and liability measures increase the default risk, while measures of profitability and size in terms of total assets reduce the risk. This review addresses the calls for a sectoral focus and provides an up-to-date financial overview of hotel default assessments. It further aims to benefit academia, as it can act as a base for further development, as well as stakeholders involved in the financial sustainability of the hotel sector.

Suggested Citation

  • Theodore Metaxas & Athanasios Romanopoulos, 2023. "A Literature Review on the Financial Determinants of Hotel Default," JRFM, MDPI, vol. 16(7), pages 1-19, July.
    • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:7:p:323-:d:1188400
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    References listed on IDEAS

    as
    1. Cathcart, Lara & Dufour, Alfonso & Rossi, Ludovico & Varotto, Simone, 2020. "The differential impact of leverage on the default risk of small and large firms," Journal of Corporate Finance, Elsevier, vol. 60(C).
    2. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    3. Jairaj Gupta & Mariachiara Barzotto & Amir Khorasgani, 2018. "Does size matter in predicting SMEs failure?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 571-605, October.
    4. Enrico Santarelli, 1998. "Start-up size and post-entry performance: the case of tourism services in Italy," Applied Economics, Taylor & Francis Journals, vol. 30(2), pages 157-163, February.
    5. Izan, H. Y., 1984. "Corporate distress in Australia," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 303-320, June.
    6. Filipe B. Caires & Hugo Reis & Paulo M. M. Rodrigues, 2023. "Survival of the fittest: tourism exposure and firm survival," Applied Economics, Taylor & Francis Journals, vol. 55(60), pages 7150-7177, December.
    7. Jarmila Horváthová & Martina Mokrišová, 2018. "Risk of Bankruptcy, Its Determinants and Models," Risks, MDPI, vol. 6(4), pages 1-22, October.
    8. Li, Hui & Sun, Jie, 2012. "Forecasting business failure: The use of nearest-neighbour support vectors and correcting imbalanced samples – Evidence from the Chinese hotel industry," Tourism Management, Elsevier, vol. 33(3), pages 622-634.
    9. Edmister, Robert O., 1972. "An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(2), pages 1477-1493, March.
    10. Gémar, Germán & Moniche, Laura & Morales, Antonio J., 2016. "Survival analysis of the Spanish hotel industry," Tourism Management, Elsevier, vol. 54(C), pages 428-438.
    11. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    12. repec:eme:ijlma0:ijlma-04-2014-0032 is not listed on IDEAS
    13. Dolnicar, Sara & Chapple, Alexander, 2015. "The readability of articles in tourism journals," Annals of Tourism Research, Elsevier, vol. 52(C), pages 161-166.
    14. N. Crutzen & D. Van Caille, 2008. "The Business Failure Process. An Integrative Model of the Literature," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 287-316.
    15. Soo Young Kim, 2018. "Predicting hospitality financial distress with ensemble models: the case of US hotels, restaurants, and amusement and recreation," Service Business, Springer;Pan-Pacific Business Association, vol. 12(3), pages 483-503, September.
    16. Harlan Platt & Marjorie Platt, 2002. "Predicting corporate financial distress: Reflections on choice-based sample bias," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(2), pages 184-199, June.
    17. Loredana Cultrera & Xavier Brédart, 2016. "Bankruptcy prediction: the case of Belgian SMEs," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 15(1), pages 101-119, February.
    18. Altman, Edward I, 1971. "Railroad Bankruptcy Propensity," Journal of Finance, American Finance Association, vol. 26(2), pages 333-345, May.
    19. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    20. Sudheer Chava & Robert A. Jarrow, 2008. "Bankruptcy Prediction with Industry Effects," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 21, pages 517-549, World Scientific Publishing Co. Pte. Ltd..
    21. Milagros Vivel-Búa & Rubén Lado-Sestayo & Luis Otero-González, 2016. "Impact of location on the probability of default in the Spanish lodging industry," Tourism Economics, , vol. 22(3), pages 593-607, June.
    22. Westgaard, Sjur & van der Wijst, Nico, 2001. "Default probabilities in a corporate bank portfolio: A logistic model approach," European Journal of Operational Research, Elsevier, vol. 135(2), pages 338-349, December.
    23. Błażej Prusak, 2018. "Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries," IJFS, MDPI, vol. 6(3), pages 1-28, June.
    24. Jayasekera, Ranadeva, 2018. "Prediction of company failure: Past, present and promising directions for the future," International Review of Financial Analysis, Elsevier, vol. 55(C), pages 196-208.
    25. Almaskati, Nawaf & Bird, Ron & Yeung, Danny & Lu, Yue, 2021. "A horse race of models and estimation methods for predicting bankruptcy," Advances in accounting, Elsevier, vol. 52(C).
    26. Serguei Kaniovski & Michael Peneder & Egon Smeral, 2008. "Determinants of Firm Survival in the Austrian Accommodation Sector," Tourism Economics, , vol. 14(3), pages 527-543, September.
    27. Ivana Tomas Žiković, 2018. "Challenges in Predicting Financial Distress in Emerging Economies: The Case of Croatia," Eastern European Economics, Taylor & Francis Journals, vol. 56(1), pages 1-27, January.
    28. Richard A. Bettis & Constance E. Helfat & J. Myles Shaver & Arturs Kalnins, 2016. "Beyond Manhattan: Localized competition and organizational failure in urban hotel markets throughout the United States, 2000–2014," Strategic Management Journal, Wiley Blackwell, vol. 37(11), pages 2235-2253, November.
    29. 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.
    30. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    31. Edward I. Altman & Gabriele Sabato, 2013. "MODELING CREDIT RISK FOR SMEs: EVIDENCE FROM THE US MARKET," World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 9, pages 251-279, World Scientific Publishing Co. Pte. Ltd..
    32. repec:taf:entreg:v:23:y:2011:i:3-4:p:159-186 is not listed on IDEAS
    33. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    34. Richard Carter & Howard Van Auken, 2006. "Small Firm Bankruptcy," Journal of Small Business Management, Taylor & Francis Journals, vol. 44(4), pages 493-512, October.
    35. Oliver Lukason & Art Andresson, 2019. "Tax Arrears Versus Financial Ratios in Bankruptcy Prediction," JRFM, MDPI, vol. 12(4), pages 1-13, December.
    36. 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.
    37. Dong, Manh Cuong & Tian, Shaonan & Chen, Cathy W.S., 2018. "Predicting failure risk using financial ratios: Quantile hazard model approach," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 204-220.
    38. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
    39. Vilas G. Waikar & Sigfred Fernandes, 2020. "Distress Analysis and Risk Score of Hotels: A Longitudinal Study," International Journal of Risk and Contingency Management (IJRCM), IGI Global, vol. 9(3), pages 1-14, July.
    40. Hui Li & Jie Sun, 2013. "Predicting Business Failure Using an RSF‐based Case‐Based Reasoning Ensemble Forecasting Method," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(2), pages 180-192, March.
    41. Spyridou, Anastasia, 2019. "Evaluating Factors of Small and Medium Hospitality Enterprises Business Failure: a conceptual approach," MPRA Paper 93997, University Library of Munich, Germany.
    42. Tomasz Pisula, 2020. "An Ensemble Classifier-Based Scoring Model for Predicting Bankruptcy of Polish Companies in the Podkarpackie Voivodeship," JRFM, MDPI, vol. 13(2), pages 1-35, February.
    43. Amankwah-Amoah, Joseph & Khan, Zaheer & Wood, Geoffrey, 2021. "COVID-19 and business failures: The paradoxes of experience, scale, and scope for theory and practice," European Management Journal, Elsevier, vol. 39(2), pages 179-184.
    44. Chun-Yu Ho & Patrick McCarthy & Yi Yang & Xuan Ye, 2013. "Bankruptcy in the pulp and paper industry: market’s reaction and prediction," Empirical Economics, Springer, vol. 45(3), pages 1205-1232, December.
    45. McGurr, Paul T. & DeVaney, Sharon A., 1998. "Predicting Business Failure of Retail Firms: An Analysis Using Mixed Industry Models," Journal of Business Research, Elsevier, vol. 43(3), pages 169-176, November.
    46. Thomas, Rhodri & Shaw, Gareth & Page, Stephen J., 2011. "Understanding small firms in tourism: A perspective on research trends and challenges," Tourism Management, Elsevier, vol. 32(5), pages 963-976.
    47. Antonio Pelaez-Verdet & Pilar Loscertales-Sanchez, 2021. "Key Ratios for Long-Term Prediction of Hotel Financial Distress and Corporate Default: Survival Analysis for an Economic Stagnation," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    48. Davide Piacentino & Martina Aronica & Diego Giuliani & Andrea Mazzitelli & Maria Francesca Cracolici, 2021. "The effect of agglomeration economies and geography on the survival of accommodation businesses in Sicily," Spatial Economic Analysis, Taylor & Francis Journals, vol. 16(2), pages 176-193, April.
    49. Arturs Kalnins & Wilbur Chung, 2006. "Social Capital, Geography, and Survival: Gujarati Immigrant Entrepreneurs in the U.S. Lodging Industry," Management Science, INFORMS, vol. 52(2), pages 233-247, February.
    50. María Escribano-Navas & German Gemar, 2021. "Gender and Bankruptcy: A Hotel Survival Econometric Analysis," Sustainability, MDPI, vol. 13(12), pages 1-13, June.
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