IDEAS home Printed from https://ideas.repec.org/a/spt/apfiba/v14y2024i6f14_6_4.html

An Analysis of the Role of Short Selling in Detecting Default Risk

Author

Listed:
  • Almuhannad Alsaif

Abstract

Default risk has been a significant factor for various organizations in this volatile business environment. The primary objective of this study is to examine the effect of short interest ratio on default risk. In this paper, data from 500 publicly traded US non-financial firms for the period from 2000 to 2023 are used, and the comparison of static and dynamic panel data models is done for estimating and forecasting default risk. Several factors were utilized to determine the probability of default, including gross profit margin, quick ratio, debt-to-equity ratio, stock return, and market capitalization. The study indicates that firm size and profitability are relevant factors in the mitigation of default risk. While debt and short stakes measure financial risks. This study contributes essential insight to the understanding of default risk, giving regulators and investors critical tools for analyzing organizations' financial health.

Suggested Citation

  • Almuhannad Alsaif, 2024. "An Analysis of the Role of Short Selling in Detecting Default Risk," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 14(6), pages 1-4.
  • Handle: RePEc:spt:apfiba:v:14:y:2024:i:6:f:14_6_4
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JAFB%2fVol%2014_6_4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    2. Besley, T. & Roland, I. & Van Reenen, J., 2019. "The Aggregate Consequences of Default Risk: Evidence from Firm-level Data," Cambridge Working Papers in Economics 2061, Faculty of Economics, University of Cambridge.
    3. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    4. Asquith, Paul & Pathak, Parag A. & Ritter, Jay R., 2005. "Short interest, institutional ownership, and stock returns," Journal of Financial Economics, Elsevier, vol. 78(2), pages 243-276, November.
    5. Engelberg, Joseph E. & Reed, Adam V. & Ringgenberg, Matthew C., 2012. "How are shorts informed?," Journal of Financial Economics, Elsevier, vol. 105(2), pages 260-278.
    6. Avramov, Doron & Chordia, Tarun & Jostova, Gergana & Philipov, Alexander, 2013. "Anomalies and financial distress," Journal of Financial Economics, Elsevier, vol. 108(1), pages 139-159.
    7. Asher Curtis & Neil L. Fargher, 2014. "Does Short Selling Amplify Price Declines or Align Stocks with Their Fundamental Values?," Management Science, INFORMS, vol. 60(9), pages 2324-2340, September.
    8. 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.
    9. Owen A. Lamont & Jeremy C. Stein, 2004. "Aggregate Short Interest and Market Valuations," American Economic Review, American Economic Association, vol. 94(2), pages 29-32, May.
    10. Hemang Desai & K. Ramesh & S. Ramu Thiagarajan & Bala V. Balachandran, 2002. "An Investigation of the Informational Role of Short Interest in the Nasdaq Market," Journal of Finance, American Finance Association, vol. 57(5), pages 2263-2287, October.
    11. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    12. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 18(1), pages 109-131.
    13. Henry, Tyler R. & Kisgen, Darren J. & Wu, Juan (Julie), 2015. "Equity short selling and bond rating downgrades," Journal of Financial Intermediation, Elsevier, vol. 24(1), pages 89-111.
    14. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    15. Pindado, Julio & Rodrigues, Luis & de la Torre, Chabela, 2008. "Estimating financial distress likelihood," Journal of Business Research, Elsevier, vol. 61(9), pages 995-1003, September.
    16. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    17. John R. Graham & Mark T. Leary, 2011. "A Review of Empirical Capital Structure Research and Directions for the Future," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 309-345, December.
    18. Scott R. Baker & Nicholas Bloom & Steven J. Davis & Kyle J. Kost & Marco C. Sammon & Tasaneeya Viratyosin, 2020. "The Unprecedented Stock Market Impact of COVID-19," NBER Working Papers 26945, National Bureau of Economic Research, Inc.
    19. Christophe, Stephen E. & Ferri, Michael G. & Hsieh, Jim, 2010. "Informed trading before analyst downgrades: Evidence from short sellers," Journal of Financial Economics, Elsevier, vol. 95(1), pages 85-106, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meng, Qingbin & Huang, Haozheng & Li, Xinyu & Wang, Song, 2023. "Short-selling and corporate default risk: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 398-417.
    2. Zhu, Zhaobo & Duan, Xinrui & Sun, Licheng & Tu, Jun, 2019. "Momentum and reversal: The role of short selling," Journal of Economic Dynamics and Control, Elsevier, vol. 104(C), pages 95-110.
    3. Dina Ait Lahcen & Nour-Eddin Amghar, 2025. "Econometric modeling for proactive risk management of financial failure in Moroccan SMEs: a stepwise logistic regression approach in python," Future Business Journal, Springer, vol. 11(1), pages 1-25, December.
    4. Blau, Benjamin M. & Pinegar, J. Michael, 2013. "Are short sellers incrementally informed prior to earnings announcements?," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 142-155.
    5. Shoukat Ali & Ramiz ur Rehman & Wang Yuan & Muhammad Ishfaq Ahmad & Rizwan Ali, 2022. "Does foreign institutional ownership mediate the nexus between board diversity and the risk of financial distress? A case of an emerging economy of China," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 553-581, September.
    6. Ferreira Filipe, Sara & Grammatikos, Theoharry & Michala, Dimitra, 2016. "Pricing default risk: The good, the bad, and the anomaly," Journal of Financial Stability, Elsevier, vol. 26(C), pages 190-213.
    7. Tao, Qizhi & Chen, Carl & Lu, Rui & Zhang, Ting, 2017. "Underfunding or distress? An analysis of corporate pension underfunding and the cross-section of expected stock returns," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 116-133.
    8. Haiyan Jiang & Gary Tian & Donghua Zhou, 2021. "The influence of the deregulation of short‐selling on related‐party transactions: Evidence from China," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(5-6), pages 1022-1056, May.
    9. Andreou, Christoforos K. & Lambertides, Neophytos & Panayides, Photis M., 2021. "Distress risk anomaly and misvaluation," The British Accounting Review, Elsevier, vol. 53(5).
    10. Mark Clintworth & Dimitrios Lyridis & Evangelos Boulougouris, 2023. "Financial risk assessment in shipping: a holistic machine learning based methodology," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 90-121, March.
    11. Mohammad Mahdi Mousavi & Jamal Ouenniche & Kaoru Tone, 2023. "A dynamic performance evaluation of distress prediction models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 756-784, July.
    12. Knill, April & Liu, Baixiao & McConnell, John J. & McKenzie, Glades, 2024. "The influence of media slant on short sellers," Journal of Corporate Finance, Elsevier, vol. 84(C).
    13. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," JRFM, MDPI, vol. 12(4), pages 1-17, September.
    14. R. Jared DeLisle & Bong Soo Lee & Nathan Mauck, 2016. "The dynamic relation between options trading, short selling, and aggregate stock returns," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 645-671, October.
    15. Haiyan Jiang & Ahsan Habib & Mostafa Monzur Hasan, 2022. "Short Selling: A Review of the Literature and Implications for Future Research," European Accounting Review, Taylor & Francis Journals, vol. 31(1), pages 1-31, January.
    16. de Groot, Wilma & Huij, Joop, 2018. "Are the Fama-French factors really compensation for distress risk?," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 50-69.
    17. Kim, Dongcheol & Lee, Inro & Na, Haejung, 2019. "Financial distress, short sale constraints, and mispricing," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 94-111.
    18. Blau, Benjamin M. & Wade, Chip, 2012. "Informed or speculative: Short selling analyst recommendations," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 14-25.
    19. Doron Avramov & Tarun Chordia & Gergana Jostova & Alexander Philipov, 2022. "The Distress Anomaly is Deeper than You Think: Evidence from Stocks and Bonds [The prediction of corporate bankruptcy: a discriminant analysis]," Review of Finance, European Finance Association, vol. 26(2), pages 355-405.
    20. John Nkwoma Inekwe, 2016. "Financial Distress, Employees’ Welfare and Entrepreneurship Among SMEs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1135-1153, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spt:apfiba:v:14:y:2024:i:6:f:14_6_4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.