IDEAS home Printed from https://ideas.repec.org/a/tig/journl/v1y2012i1p95-102.html
   My bibliography  Save this article

An Empirical Study Of Financial Performance Evaluation Of A Malaysian Manufacturing Company

Author

Listed:
  • MOHAMMADI, Maryam
  • MALEK, Afagh

Abstract

Accounting principles are useful tools in executing and improving a successful practice management plan. In today’s competitive environment, evaluating the financial performance is crucial for companies in manufacturing sector. The analysis of financial performance reflects the financial position of the company, the level of the competitiveness in the same sector, and a thorough knowledge about the cost and profit centres within the firm. Managers, investors, and creditors can then apply this accounting information provided by financial analysis in their strategic planning and investment decisions. This study investigates the financial performance of an investment company in Malaysia for a three-year period from 2009 to 2011, which is assessed using financial ratios. The findings pointed out that overall company performance reduced remarkably in the last year of the analysis. This study principally emphasizes on how accounting information aids budgetary decision-makers to evaluate the company financial performance, determine its future obligations, and make better investment decisions.

Suggested Citation

  • MOHAMMADI, Maryam & MALEK, Afagh, 2012. "An Empirical Study Of Financial Performance Evaluation Of A Malaysian Manufacturing Company," Academica Science Journal, Economica Series, Dimitrie Cantemir University, Faculty of Economical Science, vol. 1(1), pages 95-102, November.
    • Handle: RePEc:tig:journl:v:1:y:2012:i:1:p:95-102
    as

    Download full text from publisher

    File URL: http://academica.udcantemir.ro/wp-content/uploads/article/economica/e1/E1A13.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. EMROUZNEJAD, Ali & ROSTAMY-MALKHALIFEH, Mohsen & HATAMI-MARBINI, Adel & TAVANA, Madjid, 2012. "General and multiplicative non-parametric corporate performance models with interval ratio data," LIDAM Reprints CORE 2446, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Kanto, Antti J. & Martikainen, Teppo, 1992. "A test on a priori financial characteristics of the firm," European Journal of Operational Research, Elsevier, vol. 57(1), pages 13-23, February.
    3. Pinches, George E. & Eubank, Arthur A. & Mingo, Kent A. & Caruthers, J. Kent, 1975. "The hierarchical classification of financial ratios," Journal of Business Research, Elsevier, vol. 3(4), pages 295-310, October.
    4. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    5. Pinches, George E & Mingo, Kent A & Caruthers, J Kent, 1973. "The Stability of Financial Patterns in Industrial Organizations," Journal of Finance, American Finance Association, vol. 28(2), pages 389-396, May.
    6. Gallizo, José Luis & Jiménez, Fernando & Salvador, Manuel, 2002. "Adjusting financial ratios: a Bayesian analysis of the Spanish manufacturing sector," Omega, Elsevier, vol. 30(3), pages 185-195, June.
    7. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    8. Martikainen, Teppo & Perttunen, Jukka & Yli-Olli, Paavo & Gunasekaran, A., 1995. "Financial ratio distribution irregularities: Implications for ratio classification," European Journal of Operational Research, Elsevier, vol. 80(1), pages 34-44, January.
    9. Martikainen, Teppo & Ankelo, Timo, 1991. "On the instability of financial patterns of failed firms and the predictability of corporate failure," Economics Letters, Elsevier, vol. 35(2), pages 209-214, February.
    10. repec:cor:louvrp:-2446 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    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. Martikainen, Teppo & Perttunen, Jukka & Yli-Olli, Paavo & Gunasekaran, A., 1995. "Financial ratio distribution irregularities: Implications for ratio classification," European Journal of Operational Research, Elsevier, vol. 80(1), pages 34-44, January.
    2. Carlos Serrano-Cinca & Yolanda Fuertes-Call鮠 & Bego uti鲲ez-Nieto & Beatriz Cuellar-Fernᮤez, 2014. "Path modelling to bankruptcy: causes and symptoms of the banking crisis," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3798-3811, November.
    3. du Jardin, Philippe, 2015. "Bankruptcy prediction using terminal failure processes," European Journal of Operational Research, Elsevier, vol. 242(1), pages 286-303.
    4. Carlo Caserio & Delio Panaro & Sara Trucco, 2014. "A statistical analysis of reliability of audit opinions as bankruptcy predictors," Discussion Papers 2014/174, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    5. Paul P. M. Pompe & Jan Bilderbeek, 2005. "Bankruptcy prediction: the influence of the year prior to failure selected for model building and the effects in a period of economic decline," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 13(2), pages 95-112, June.
    6. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    7. 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.
    8. Thomas E. McKee, 2003. "Rough sets bankruptcy prediction models versus auditor signalling rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(8), pages 569-586.
    9. Stefania Vignini & Tiziana De Cristofaro, 2018. "Impatto della crisi economica su redditivit? e rischio finanziario delle imprese romagnole. Una cluster analysis," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(3), pages 157-181.
    10. Antonio Davila & George Foster & Xiaobin He & Carlos Shimizu, 2015. "The rise and fall of startups: Creation and destruction of revenue and jobs by young companies," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 6-35, February.
    11. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
    12. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    13. Suzan Hol, 2006. "The influence of the business cycle on bankruptcy probability," Discussion Papers 466, Statistics Norway, Research Department.
    14. Pavol Durana & Lucia Michalkova & Andrej Privara & Josef Marousek & Milos Tumpach, 2021. "Does the life cycle affect earnings management and bankruptcy?," Oeconomia Copernicana, Institute of Economic Research, vol. 12(2), pages 425-461, June.
    15. Simon Cornée, 2014. "Soft Information and Default Prediction in Cooperative and Social Banks," Journal of Entrepreneurial and Organizational Diversity, European Research Institute on Cooperative and Social Enterprises, vol. 3(1), pages 89-103, June.
    16. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    17. Modina, Michele & Pietrovito, Filomena & Gallucci, Carmen & Formisano, Vincenzo, 2023. "Predicting SMEs’ default risk: Evidence from bank-firm relationship data," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 254-268.
    18. Fougère, D. & Golfier, C. & Horny, G. & Kremp, E., 2013. "What has been the impact of the 2008 crisis on firms’ default? (in French)," Working papers 463, Banque de France.
    19. Jie Sun & Jie Li & Hamido Fujita & Wenguo Ai, 2023. "Multiclass financial distress prediction based on one‐versus‐one decomposition integrated with improved decision‐directed acyclic graph," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1167-1186, August.
    20. Chiara Pederzoli & Grid Thoma & Costanza Torricelli, 2013. "Modelling Credit Risk for Innovative SMEs: the Role of Innovation Measures," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(1), pages 111-129, August.

    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:tig:journl:v:1:y:2012:i:1:p:95-102. 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: Maria Oroian (email available below). General contact details of provider: .

    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.