IDEAS home Printed from https://ideas.repec.org/a/jfr/ijfr11/v12y2021i3p393-406.html
   My bibliography  Save this article

The Effect of Using Accounting Measurement Bases (Cash and Accrual) on the Performance of the Industrial Companies Listed on Palestine Stock Exchange

Author

Listed:
  • Omar Abed Awad Joudeh
  • Firas S. Q. Barakat
  • Oroubah A. R. Mahmoud

Abstract

This study aimed to measure the performance of the Palestinian industrial corporations, a sample of 13 industrial companies listed on Palestine Stock Exchange had selected for the period between 2009 and 2018, researchers used multiple linear regression analysis to create two models representing the financial performance on accrual and cash basis, return on assets (ROA) was the dependent variable, The independent variables of the accrual based model included: current ratio, net profit margin, return on capital employed, debt to assets and interest coverage ratios, all of them had significant impact on ROA. The cash-based model included: cash to current liabilities, cash to sales, cash to working capital, cash to debt, and cash interest coverage ratios, all of them except debt to assets had significant impact on ROA. Comparison between previous models showed that accrual based model had better performance in explaining changes in ROA.

Suggested Citation

  • Omar Abed Awad Joudeh & Firas S. Q. Barakat & Oroubah A. R. Mahmoud, 2021. "The Effect of Using Accounting Measurement Bases (Cash and Accrual) on the Performance of the Industrial Companies Listed on Palestine Stock Exchange," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(3), pages 393-406, May.
  • Handle: RePEc:jfr:ijfr11:v:12:y:2021:i:3:p:393-406
    DOI: 10.5430/ijfr.v12n3p393
    as

    Download full text from publisher

    File URL: http://www.sciedu.ca/journal/index.php/ijfr/article/view/20160/12395
    Download Restriction: no

    File URL: http://www.sciedu.ca/journal/index.php/ijfr/article/view/20160
    Download Restriction: no

    File URL: https://libkey.io/10.5430/ijfr.v12n3p393?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
    ---><---

    References listed on IDEAS

    as
    1. Tatiana Dănescu & Luminiţa Rus, 2013. "Comparative Study On Accounting Models "Cash" And "Accrual"," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(15), pages 1-7.
    2. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    3. Abdul Khan & Stephen Mayes, 2009. "Transition to Accrual Accounting," IMF Technical Notes and Manuals 2009/002, International Monetary Fund.
    4. Abdul Khan & Stephen Mayes, 2009. "Transition to Accrual Accounting," IMF Technical Notes and Manuals 09/02, International Monetary Fund.
    5. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    6. Sulayman H. Atieh, 2014. "Liquidity Analysis Using Cash Flow Ratios as Compared to Traditional Ratios in the Pharmaceutical Sector in Jordan," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(3), pages 146-158, July.
    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. 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.
    2. 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).
    3. 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.
    4. 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.
    5. 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.
    6. Poledrini Simone & Searing Elizabeth A. M. & Montrone Alessandro, 2022. "A Model for Directing and Modulating Public Interventions in Social Enterprises," Nonprofit Policy Forum, De Gruyter, vol. 13(4), pages 307-332, October.
    7. 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.
    8. Guido Max Mantovani & Gregory Gadzinski, 2022. "How to Rate the Financial Performance of Private Companies? A Tailored Integrated Rating Methodology Applied to North-Eastern Italian Districts," JRFM, MDPI, vol. 15(11), pages 1-18, October.
    9. Saara Tamminen, 2017. "Regional effects or none? Firms' profitability during the Great Recession in Finland," Papers in Regional Science, Wiley Blackwell, vol. 96(1), pages 33-59, March.
    10. Enrico Supino & Nicola Piras, 2022. "Le performance dei modelli di credit scoring in contesti di forte instabilit? macroeconomica: il ruolo delle Reti Neurali Artificiali," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2), pages 41-61.
    11. Adriana Csikosova & Maria Janoskova & Katarina Culkova, 2020. "Application of Discriminant Analysis for Avoiding the Risk of Quarry Operation Failure," JRFM, MDPI, vol. 13(10), pages 1-14, September.
    12. Haoming Wang & Xiangdong Liu, 2021. "Undersampling bankruptcy prediction: Taiwan bankruptcy data," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-17, July.
    13. Saiful Anwar & A.M Hasan Ali, 2018. "ANNs-BASED EARLY WARNING SYSTEM FOR INDONESIAN ISLAMIC BANKS," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 20(3), pages 325-342, January.
    14. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    15. E. Fedorova A. & M. Chukhlantseva A. & D. Chekrizov V. & ЕЛЕНА Федорова АНАТОЛЬЕВНА & МАРИЯ Чухланцева АЛЕКСАНДРОВНА & ДМИТРИЙ Чекризов ВАСИЛЬЕВИЧ, 2017. "Нормативные значения коэффициентов финансовой устойчивости: особенности видов экономической деятельности // Normative Values of Financial Stability Ratios: Industry-Specific Features," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 7(2), pages 44-55.
    16. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
    17. Le, Hong Hanh & Viviani, Jean-Laurent, 2018. "Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios," Research in International Business and Finance, Elsevier, vol. 44(C), pages 16-25.
    18. Arati Kale & Devendra Kale & Sriram Villupuram, 2024. "Decomposition of risk for small size and low book-to-market stocks," Journal of Asset Management, Palgrave Macmillan, vol. 25(1), pages 96-112, February.
    19. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    20. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.

    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:jfr:ijfr11:v:12:y:2021:i:3:p:393-406. 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: Gina Perry (email available below). General contact details of provider: http://ijfr.sciedupress.com .

    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.