IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v46y2014i10p1127-1133.html
   My bibliography  Save this article

Examining the theory of capital structure: signal factor hypothesis

Author

Listed:
  • Ginny Ju-Ann Yang
  • Horace Chueh
  • Chen-Hsun Lee

Abstract

The aim of this study was to explore how various levels of information asymmetry affect the capital structure of listed companies in Taiwan and China. Regression results over the past few decades have indicated that the trade-off theory lacks explanatory power, bringing into question the accuracy of the static trade-off theory and the existence of an optimal capital structure. On the other hand, the financial decisions of companies do not always appear consistent with the pecking order theory. Building on the research of Chou et al. (2011), this study sought to verify the signal factor hypothesis, which combines the trade-off theory with the pecking order theory.This study was the first one to employ the panel KPSS test with sharp drifts, developed by Chang and Ranjbar (2012), as well as the Fourier function to verify that an optimal capital structure does exist for companies with more symmetric information, thereby establishing the trade-off theory. Firms with information asymmetry show adverse selection costs, which supports the pecking order theory and rejects the existence of an optimal capital structure.

Suggested Citation

  • Ginny Ju-Ann Yang & Horace Chueh & Chen-Hsun Lee, 2014. "Examining the theory of capital structure: signal factor hypothesis," Applied Economics, Taylor & Francis Journals, vol. 46(10), pages 1127-1133, April.
    • Handle: RePEc:taf:applec:v:46:y:2014:i:10:p:1127-1133
    DOI: 10.1080/00036846.2013.864040
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2013.864040
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2013.864040?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.

    Citations

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


    Cited by:

    1. Tiago Cardao-Pito, 2017. "Organizations as Producers of Operating Product Flows to Members of Society," SAGE Open, , vol. 7(3), pages 21582440177, August.
    2. Aysegul ERTUGRUL, 2023. "Investigation of the Relationship between Corporate Governance and Capital Structure in Insurance Companies with Panel Regression Analysis," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 17(1), pages 107-130.
    3. Maria Elena Bontempi & Laura Bottazzi & Roberto Golinelli, 2015. "ynamic corporate capital structure behavior:empirical assessment in the light of heterogeneity and non stationarity," Working Papers 537, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    4. Edgardo Bucciarelli & Nicola Mattoscio, 2021. "Reconsidering Herbert A. Simon’s Major Themes in Economics: Towards an Experimentally Grounded Capital Structure Theory Drawing from His Methodological Conjectures," Computational Economics, Springer;Society for Computational Economics, vol. 57(3), pages 799-823, March.
    5. Bontempi, Maria Elena & Bottazzi, Laura & Golinelli, Roberto, 2020. "A multilevel index of heterogeneous short-term and long-term debt dynamics," Journal of Corporate Finance, Elsevier, vol. 64(C).
    6. Chen Hsun Lee & Yung-Hsiang Ying & Koyin Chang, 2016. "Dynamic Financial Decisions with Varying Degrees of Information Asymmetry and Profitability," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 1-9, March.

    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:applec:v:46:y:2014:i:10:p:1127-1133. 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://www.tandfonline.com/RAEC20 .

    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.