IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v9y2022i1p2121237.html
   My bibliography  Save this article

Cash flow and financial distress of private listed enterprises on the Vietnam stock market: A quantile regression approach

Author

Listed:
  • Thuy Duong Phan
  • Thi Thanh Hoang
  • Ngoc Mai Tran

Abstract

The study evaluates the influence of cash flow on the financial distress of private listed enterprises on the Vietnamese stock market from 2010 to 2020. We use the data collected from the financial statements of 263 private non-financial enterprises listed on the Ho Chi Minh and Hanoi stock exchanges from 2010 to 2020 in the FinPro database. The quantile regression method was employed to analyze the effect of cash flow on the financial distress of listed non-financial private enterprises. The results show that the cash flow from operating activities and the cash flow from financial activities have negative relationships with financial distress. However, the cash flow from investing activities has a positive relationship. Based on experimental results, the study proposes some recommendations on cash flow forecasting, building an optimal budget model to help business managers have appropriate cash flow management policies to reduce the risk of financial distress.

Suggested Citation

  • Thuy Duong Phan & Thi Thanh Hoang & Ngoc Mai Tran, 2022. "Cash flow and financial distress of private listed enterprises on the Vietnam stock market: A quantile regression approach," Cogent Business & Management, Taylor & Francis Journals, vol. 9(1), pages 2121237-212, December.
  • Handle: RePEc:taf:oabmxx:v:9:y:2022:i:1:p:2121237
    DOI: 10.1080/23311975.2022.2121237
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2022.2121237
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23311975.2022.2121237?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:oabmxx:v:9:y:2022:i:1:p:2121237. 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: Chris Longhurst (email available below). General contact details of provider: http://cogentoa.tandfonline.com/OABM20 .

    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.