IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/86895.html
   My bibliography  Save this paper

The Influence of Corporate Governance to the Firm Performance in Logistics Industry

Author

Listed:
  • Tan, Yi Lin
  • Yusof, Mimi Syazwani
  • Mohd Ali, Nur Aqilah
  • Mohamed Azmi, Zahirah

Abstract

The aim of this study is to break down the execution of logistics industries in United Kingdom (UK) throughout five years. The analysis is employ on the sample of six organization in UK over the period in the vicinity of 2013 and 2017. The information is derived from annual report of Kerry Logistic, Wincanton, DFDS Seaways, Easy Jet and Stobart Group. This study utilizing a clear descriptive analysis, for example profitability, liquidity risk, credit risk, operational risk and also economic environment as to look at the performance of the organization include in logistics industries. The information ascertained is on average. The result show that the company performance can be influenced by the risk and economic environment. The study found the profitability ratio in term of current, quick ratio and debt to income are significant to independent variable which are to the return on asset. While, return on asset are significant to average collection period, liquidity ratio, unemployment rate, interest rate and operational ratio.

Suggested Citation

  • Tan, Yi Lin & Yusof, Mimi Syazwani & Mohd Ali, Nur Aqilah & Mohamed Azmi, Zahirah, 2018. "The Influence of Corporate Governance to the Firm Performance in Logistics Industry," MPRA Paper 86895, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:86895
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/86895/1/MPRA_paper_86895.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Garbade, Kenneth D & Silber, William L, 1979. "Structural Organization of Secondary Markets: Clearing Frequency, Dealer Activity and Liquidity Risk," Journal of Finance, American Finance Association, vol. 34(3), pages 577-593, June.
    3. La Porta, Rafael & Lopez-de-Silanes, Florencio & Shleifer, Andrei & Vishny, Robert, 2000. "Investor protection and corporate governance," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 3-27.
    4. Waeibrorheem Waemustafa & Suriani Sukri, 2016. "Systematic and Unsystematic Risk Determinants of Liquidity Risk Between Islamic and Conventional Banks," International Journal of Economics and Financial Issues, Econjournals, vol. 6(4), pages 1321-1327.
    5. John T. Scruggs, 1998. "Resolving the Puzzling Intertemporal Relation between the Market Risk Premium and Conditional Market Variance: A Two-Factor Approach," Journal of Finance, American Finance Association, vol. 53(2), pages 575-603, April.
    6. Darryll Hendricks & Beverly Hirtle, 1997. "Bank capital requirements for market risk: the internal models approach," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 1-12.
    7. Altman, Edward I. & Saunders, Anthony, 1997. "Credit risk measurement: Developments over the last 20 years," Journal of Banking & Finance, Elsevier, vol. 21(11-12), pages 1721-1742, December.
    8. Douglas W. Diamond, 1991. "Debt Maturity Structure and Liquidity Risk," The Quarterly Journal of Economics, Oxford University Press, vol. 106(3), pages 709-737.
    9. Chavez-Demoulin, V. & Embrechts, P. & Neslehova, J., 2006. "Quantitative models for operational risk: Extremes, dependence and aggregation," Journal of Banking & Finance, Elsevier, vol. 30(10), pages 2635-2658, October.
    10. Robert B. Avery & Raphael W. Bostic & Paul S. Calem & Glenn B. Canner, 1996. "Credit risk, credit scoring, and the performance of home mortgages," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Jul, pages 621-648.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Profitability; Credit Risk; Liquidity; Macroeconomic; Corporate Governance;

    JEL classification:

    • G3 - Financial Economics - - Corporate Finance and Governance
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:86895. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.