IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-348-1_25.html

Impact of Capital Structure and Debt Characteristics on Default Risk of Listed Real Estate Firms in Vietnam

In: Proceedings of the 11th International Conference on Emerging Challenges: Smart Business and Digital Economy 2023 (ICECH 2023)

Author

Listed:
  • Giang Nguyen Thuc Huong

    (Hanoi University of Science and Technology, School of Economics and Management)

  • Lan Anh Nguyen Thi

    (Hanoi University of Science and Technology, School of Economics and Management)

  • Ngan Nguyen Thu

    (Hanoi University of Science and Technology, School of Economics and Management)

Abstract

Research purpose: This study aims to examine the impact of capital structure and debt characteristics on the default risk of listed real estate firms in Vietnam stock market. Research motivation: The real estate industry in Vietnam has experienced significant growth and transformation over the past decade, contributing to the country’s economic development and attracting both domestic and international investors. However, various challenges and risks appear, especially since the Covid-19 outbreak, lead to the risk of default of real estate firms. Besides, research on the impact of capital structure and debt characteristics on default risk of listed real estate firms are still limited and not up to date, in particular for the Vietnamese context. Research methodology: The assessment of default risk is conducted in using KMV model to measure the distance to default (DD) and the probability of default (PD). The research focuses on various dimensions of capital structure and debt characteristics, including debt maturity, source of debt, and cost of debt. The study sample includes 42 listed firms in the real estate industry in the period from 2018–2022. Main findings: Regression model shows that a firm’s capital structure, including long-term debt to assets (LTDA) and short-term debt to assets (STDA), significantly influences its likelihood of default. Balancing LTDA and STDA is crucial for mitigating default risk. Larger firms (SIZE) have a reduced probability of default due to their financial resources. Volatility (Vol) also impacts financial stability, emphasizing the need for robust market risk management. Practical/managerial implications: This research contributes valuable insights for businesses, investors, financial decision-makers, financial institutions, and other stakeholders. It emphasizes the critical importance of debt management, financial stability, and risk mitigation strategies in reducing the probability of default among real estate companies.

Suggested Citation

  • Giang Nguyen Thuc Huong & Lan Anh Nguyen Thi & Ngan Nguyen Thu, 2023. "Impact of Capital Structure and Debt Characteristics on Default Risk of Listed Real Estate Firms in Vietnam," Advances in Economics, Business and Management Research, in: Nguyen Danh Nguyen & Pham Thi Thanh Hong (ed.), Proceedings of the 11th International Conference on Emerging Challenges: Smart Business and Digital Economy 2023 (ICECH 2023), pages 327-344, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-348-1_25
    DOI: 10.2991/978-94-6463-348-1_25
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-348-1_25. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.