IDEAS home Printed from https://ideas.repec.org/b/nbr/nberbk/merw42-1.html
   My bibliography  Save this book

Financing Small Corporations in Five Manufacturing Industries, 1926–36

Author

Listed:
  • Charles L. Merwin

Abstract

No abstract is available for this item.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Charles L. Merwin, 1942. "Financing Small Corporations in Five Manufacturing Industries, 1926–36," NBER Books, National Bureau of Economic Research, Inc, number merw42-1, March.
    • Handle: RePEc:nbr:nberbk:merw42-1
    Note: CF IO
    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 search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wolfgang Karl Härdle & Dedy Dwi Prastyo & Christian Hafner, 2012. "Support Vector Machines with Evolutionary Feature Selection for Default Prediction," SFB 649 Discussion Papers SFB649DP2012-030, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Mselmi, Nada & Lahiani, Amine & Hamza, Taher, 2017. "Financial distress prediction: The case of French small and medium-sized firms," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 67-80.
    3. Seth Amoako & Elvis Boateng, 2022. "Considering factors that leads to sustainability of Small and Medium Enterprises in Ghana using PESTEL and theories of entrepreneurship as a measuring tool," Technium Social Sciences Journal, Technium Science, vol. 31(1), pages 594-653, May.
    4. Andrzej Geise & Magdalena Kuczmarska & Jarosław Pawlowski, 2021. "Corporate Failure Prediction of Construction Companies in Poland: Evidence from Logit Model," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 99-116.
    5. Shiyi Chen & Wolfgang Härdle & Rouslan Moro, 2006. "Estimation of Default Probabilities with Support Vector Machines," SFB 649 Discussion Papers SFB649DP2006-077, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    6. repec:thr:techub:10031:y:2022:i:1:p:594-653 is not listed on IDEAS
    7. Yossavadee Pugpaichit & Phassawan Suntrauk, 2014. "The Prediction Model of Bankruptcy: Evidence from the Small and Medium Enterprises (SMEs) in Thailand," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 3(10), pages 788-796.
    8. 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.
    9. 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.
    10. Rassoul Yazdipour & Richard Constand, 2010. "Predicting Firm Failure: A Behavioral Finance Perspective," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 14(3), pages 90-104, Fall.
    11. Boratyńska, Katarzyna, 2016. "FsQCA in corporate bankruptcy research. An innovative approach in food industry," Journal of Business Research, Elsevier, vol. 69(11), pages 5529-5533.
    12. Sigrist, Fabio & Hirnschall, Christoph, 2019. "Grabit: Gradient tree-boosted Tobit models for default prediction," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 177-192.
    13. Numani Eni, 2015. "Bankruptcy And The Altman Models. Case Of Albania," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 839-845, July.
    14. Šlefendorfas Gediminas, 2016. "Bankruptcy Prediction Model for Private Limited Companies of Lithuania," Ekonomika (Economics), Sciendo, vol. 95(1), pages 134-152, January.
    15. Michal Pavlicko & Marek Durica & Jaroslav Mazanec, 2021. "Ensemble Model of the Financial Distress Prediction in Visegrad Group Countries," Mathematics, MDPI, vol. 9(16), pages 1-26, August.
    16. Vuta Mihai, 2017. "The Importance Of The Implementation Of It Audits In Agricultural Enterprises Of The Republic Of Serbia In Order To Increase Safety Management And Risk Determination Interval," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 2, pages 98-103, April.
    17. Zanka Mikhail, 2020. "A Comparison of Variables Selection Methods and their Sequential Application: A Case Study of the Bankruptcy of Polish Companies," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 531-543, June.
    18. Proho Mahir, 2023. "Going concern assessment: a literature review," Journal of Forensic Accounting Profession, Sciendo, vol. 3(2), pages 48-62, December.
    19. Michal Pavlicko & Jaroslav Mazanec, 2022. "Minimalistic Logit Model as an Effective Tool for Predicting the Risk of Financial Distress in the Visegrad Group," Mathematics, MDPI, vol. 10(8), pages 1-22, April.

    Book Chapters

    The following chapters of this book are listed in IDEAS

    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:nbr:nberbk:merw42-1. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.