IDEAS home Printed from https://ideas.repec.org/a/wsi/rpbfmp/v15y2012i03ns0219091512500129.html
   My bibliography  Save this article

Nonlinear Behaviors in Capital Structure Decisions in Australian Firms

Author

Listed:
  • Joshua S. Bahng (d'Arc)

    (GSSS, Middle East Technical University, Ankara 06800, Turkey)

  • Hyeong-Chul Jeong

    (Department of Applied Statistics, Suwon University, Suwon 445-743, South Korea)

Abstract

In this paper, we investigated (i) the possible nonlinear effects in the determinants of capital structures and (ii) the nonlinear adjustment behavior of cross-sectional debt ratios in Australian firms. Our analysis utilized the quantile regression methodology and examined the existence of nonlinear relationships for Australian financial data from 1991 through 2007. In our results, we first were able to confirm the existence of nonlinear effects between debt ratio and explanatory variables such as firm size and profitability. However, this nonlinearity was not conspicuous for the independent variables of asset tangibility and non-debt tax shield. Also, the non-linear speeds of cross-sectional debt adjustment were confirmed to exist. This research introduces a new perspective on nonlinear effects into the capital structure literature and subsequently serves as a contribution to the previous literature.

Suggested Citation

  • Joshua S. Bahng (d'Arc) & Hyeong-Chul Jeong, 2012. "Nonlinear Behaviors in Capital Structure Decisions in Australian Firms," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-19.
    • Handle: RePEc:wsi:rpbfmp:v:15:y:2012:i:03:n:s0219091512500129
    DOI: 10.1142/S0219091512500129
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219091512500129
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219091512500129?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.

    References listed on IDEAS

    as
    1. Nigel Driffield & Sarmistha Pal, 2010. "Evolution of capital structure in east Asia—corporate inertia or endeavours?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(1), pages 1-29, January.
    2. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Surenderrao Komera & P. J. Jijo Lukose, 2016. "Heterogeneity and Asymmetry in Speed of Leverage Adjustment: The Indian Experience," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-26, September.
    2. Tarek Eldomiaty & Marina Apaydin & Mona Yusuf & Mohamed Rashwan, 2023. "How Do Stock Market Development and Competitiveness Affect Equity Risk Premium? Implications from World Economies," IJFS, MDPI, vol. 11(1), pages 1-19, February.
    3. Sánchez-Vidal, F. Javier, 2014. "High debt companies' leverage determinants in Spain: A quantile regression approach," Economic Modelling, Elsevier, vol. 36(C), pages 455-465.
    4. Carmen Bachmann & Martin Baumann & Konrad Richter, 2018. "The effects on investment incentives of an allowance for corporate equity tax system: the Belgian case as an example," Review of Quantitative Finance and Accounting, Springer, vol. 51(4), pages 943-965, November.
    5. 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.

    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. Zhao, Zhibiao & Wu, Wei Biao, 2009. "Nonparametric inference of discretely sampled stable Lévy processes," Journal of Econometrics, Elsevier, vol. 153(1), pages 83-92, November.
    2. Alexandre Belloni & Victor Chernozhukov & Kengo Kato, 2019. "Valid Post-Selection Inference in High-Dimensional Approximately Sparse Quantile Regression Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 749-758, April.
    3. Asongu, Simplice A. & Odhiambo, Nicholas M., 2021. "Inequality, finance and renewable energy consumption in Sub-Saharan Africa," Renewable Energy, Elsevier, vol. 165(P1), pages 678-688.
    4. Ichimura, Hidehiko & Todd, Petra E., 2007. "Implementing Nonparametric and Semiparametric Estimators," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74, Elsevier.
    5. Benjamin Hofner & Andreas Mayr & Nikolay Robinzonov & Matthias Schmid, 2014. "Model-based boosting in R: a hands-on tutorial using the R package mboost," Computational Statistics, Springer, vol. 29(1), pages 3-35, February.
    6. repec:hal:wpspec:info:hdl:2441/5rkqqmvrn4tl22s9mc4b6ga2g is not listed on IDEAS
    7. Xiaohong Chen & Roger Koenker & Zhijie Xiao, 2009. "Copula-based nonlinear quantile autoregression," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 50-67, January.
    8. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2018. "Asset allocation strategies based on penalized quantile regression," Computational Management Science, Springer, vol. 15(1), pages 1-32, January.
    9. Abeliansky, Ana & Krenz, Astrid, 2015. "Democracy and international trade: Differential effects from a panel quantile regression framework," University of Göttingen Working Papers in Economics 243, University of Goettingen, Department of Economics.
    10. Muller, Christophe, 2018. "Heterogeneity and nonconstant effect in two-stage quantile regression," Econometrics and Statistics, Elsevier, vol. 8(C), pages 3-12.
    11. Mayya Zhilova, 2015. "Simultaneous likelihood-based bootstrap confidence sets for a large number of models," SFB 649 Discussion Papers SFB649DP2015-031, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    12. Otto-Sobotka, Fabian & Salvati, Nicola & Ranalli, Maria Giovanna & Kneib, Thomas, 2019. "Adaptive semiparametric M-quantile regression," Econometrics and Statistics, Elsevier, vol. 11(C), pages 116-129.
    13. Narisetty, Naveen & Koenker, Roger, 2022. "Censored quantile regression survival models with a cure proportion," Journal of Econometrics, Elsevier, vol. 226(1), pages 192-203.
    14. Fan, Yanqin & Liu, Ruixuan, 2016. "A direct approach to inference in nonparametric and semiparametric quantile models," Journal of Econometrics, Elsevier, vol. 191(1), pages 196-216.
    15. Deborah A. Cobb-Clark & Sonja C. Kassenboehmer & Mathias G. Sinning, 2013. "Locus of Control and Savings," Ruhr Economic Papers 0455, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    16. Qi Li & Juan Lin & Jeffrey S. Racine, 2013. "Optimal Bandwidth Selection for Nonparametric Conditional Distribution and Quantile Functions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 57-65, January.
    17. Klaus Friesenbichler, 2013. "Firm Growth in Conflict Countries: Some Evidence from South Asia," Review of Economics & Finance, Better Advances Press, Canada, vol. 3, pages 33-44, May.
    18. Chuliá, Helena & Guillén, Montserrat & Uribe, Jorge M., 2017. "Spillovers from the United States to Latin American and G7 stock markets: A VAR quantile analysis," Emerging Markets Review, Elsevier, vol. 31(C), pages 32-46.
    19. Narula, Subhash C. & Wellington, John F. & Lewis, Stephen A., 2012. "Valuating residential real estate using parametric programming," European Journal of Operational Research, Elsevier, vol. 217(1), pages 120-128.
    20. Chesher, Andrew, 2017. "Understanding the effect of measurement error on quantile regressions," Journal of Econometrics, Elsevier, vol. 200(2), pages 223-237.
    21. Park, Beum-Jo & Kim, Myung-Joong, 2017. "A Dynamic Measure of Intentional Herd Behavior in Financial Markets," MPRA Paper 82025, University Library of Munich, Germany.

    More about this item

    Keywords

    Nonlinearity in capital structure; Australian firms; quantile regression; heterogeneous speed of adjustment; partial adjustment model;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

    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:wsi:rpbfmp:v:15:y:2012:i:03:n:s0219091512500129. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/rpbfmp/rpbfmp.shtml .

    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.