IDEAS home Printed from https://ideas.repec.org/a/mth/bmsmti/v14y2023i2p71-84.html
   My bibliography  Save this article

What Determines the Profitability of Business Firms in Pakistan

Author

Listed:
  • Aakash Jahangir
  • Amna Shabbir

Abstract

ABSTRACTThe purpose of this research is to examine the impact or the relationships between some internal i.e. Debt to equity and Capital adequacy and external factors i.e. Tax rate, Interest rate and inflation rate, on the Profitability of the firm. Top 30 big firm’s data will be analyzed from 2012 to 2017 registered under the Pakistan stock exchange Commission. The panel regression technique, fixed affects and random affect technique is used to find out the impact variables on the Profitability of the firm. It has been stated that any company's long-term survival depends largely on its ability to be profitable. Although maximizing profits is the main goal of all commercial ventures, the factors that influence profitability in emerging nations have received little attention. In this study, the profitability of publicly manufacturing companies in Pakistan is examined.Determinant of firms’ profitability is important to understand for decision-making process in business entity regarding maximization of profit and competitive advantage over the competitors. Determinant of the firms discloses the risk and reward associated with it in the market. In addition, it helps in building up an organization's sustainability and provides knowledge about the Future. Different types of tests are run to get maximum output from the variables and its impact on the business entity.Keywords- Debt to equity ratio, Tax rate, Interest rate, inflation rate.

Suggested Citation

  • Aakash Jahangir & Amna Shabbir, 2023. "What Determines the Profitability of Business Firms in Pakistan," Business Management and Strategy, Macrothink Institute, vol. 14(2), pages 71-84, December.
  • Handle: RePEc:mth:bmsmti:v:14:y:2023:i:2:p:71-84
    as

    Download full text from publisher

    File URL: https://www.macrothink.org/journal/index.php/bms/article/download/21161/16405
    Download Restriction: no

    File URL: https://www.macrothink.org/journal/index.php/bms/article/view/21161
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ali Saleh Alarussi & Sami Mohammed Alhaderi, 2018. "Factors affecting profitability in Malaysia," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 45(3), pages 442-458, August.
    2. Macdonald, Ronald & Marsh, Ian W., 1996. "Currency forecasters are heterogeneous: confirmation and consequences," Journal of International Money and Finance, Elsevier, vol. 15(5), pages 665-685, October.
    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. Erik Syawal Alghifari & Ardi Gunardi & Jaja Suteja & Indah Khoerun Nisa & Zalfa Amarananda, 2022. "Investment Decisions of Energy Sector Companies on the Indonesia Stock Exchange: Theory and Evidence," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 73-79, November.
    2. Ega Annisa Rizti & Berly Martawardaya, 2022. "Does It Pay to be Good? The Performance of Indonesian Green Companies from 2009–2018," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 68, pages 17-36, Juni.
    3. Amjad Wajdi Noor Ahmad Kamal & Ameer Irfhan Arshad & Norliza Che-Yahya & Siti Sarah Alyasa-Gan, 2023. "Performance of Shariah vs Non-Shariah Firms: A Study of Manufacturing Sector in Malaysia," Information Management and Business Review, AMH International, vol. 15(1), pages 149-163.
    4. Hossein Tarighi & Zeynab Nourbakhsh Hosseiny & Maryam Akbari & Elaheh Mohammadhosseini, 2023. "The Moderating Effect of the COVID-19 Pandemic on the Relation between Corporate Governance and Firm Performance," JRFM, MDPI, vol. 16(7), pages 1-43, June.
    5. Reitz, Stefan & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Nonlinear expectations in speculative markets – Evidence from the ECB survey of professional forecasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(9), pages 1349-1363.
    6. Fischer, Andreas M. & Ranaldo, Angelo, 2011. "Does FOMC news increase global FX trading?," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2965-2973, November.
    7. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    8. Andrade, Sandro C. & Kohlscheen, Emanuel, 2010. "Pessimistic Foreign Investors and Turmoil in Emerging Markets : The Case of Brazil in 2002," The Warwick Economics Research Paper Series (TWERPS) 926, University of Warwick, Department of Economics.
    9. Firouzi, Shahrokh & Wang, Xiangning, 2019. "A comparative study of exchange rates and order flow based on wavelet transform coherence and cross wavelet transform," Economic Modelling, Elsevier, vol. 82(C), pages 42-56.
    10. Hamid Baghestani, 2010. "Evaluating Blue Chip forecasts of the trade-weighted dollar exchange rate," Applied Financial Economics, Taylor & Francis Journals, vol. 20(24), pages 1879-1889.
    11. Georges Prat & Remzi Uctum, 2015. "Expectation formation in the foreign exchange market: a time-varying heterogeneity approach using survey data," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3673-3695, July.
    12. Dick, Christian D. & MacDonald, Ronald & Menkhoff, Lukas, 2015. "Exchange rate forecasts and expected fundamentals," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 235-256.
    13. Kunze, Frederik, 2017. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," University of Göttingen Working Papers in Economics 326, University of Goettingen, Department of Economics.
    14. Christian Dreger & Georg Stadtmann, 2008. "What drives heterogeneity in foreign exchange rate expectations: insights from a new survey," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 360-367.
    15. Ronald MacDonald & Ian W. Marsh, 1996. "Hétérogénéité des prévisionnistes : une exploration des anticipations sur le marché des changes," Économie et Prévision, Programme National Persée, vol. 125(4), pages 109-115.
    16. Stefan Reitz & Jan-Christoph Rülke & Georg Stadtmann, 2009. "Are oil-price-forecasters finally right? – Regressive expectations towards more fundamental values of the oil price," WHU Working Paper Series - Economics Group 09-04, WHU - Otto Beisheim School of Management.
    17. Larissa Batrancea, 2021. "The Nexus between Financial Performance and Equilibrium: Empirical Evidence on Publicly Traded Companies from the Global Financial Crisis Up to the COVID-19 Pandemic," JRFM, MDPI, vol. 14(5), pages 1-12, May.
    18. Khorshed Alam & Mohammad Afshar Ali & Michael Erdiaw-Kwasie & Md Shahiduzzaman & Eswaran Velayutham & Peter A. Murray & Retha Wiesner, 2022. "Impact of ICTs on Innovation and Performance of Firms: Do Start-ups, Regional Proximity and Skills Matter?," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    19. King, Michael R. & Osler, Carol L. & Rime, Dagfinn, 2013. "The market microstructure approach to foreign exchange: Looking back and looking forward," Journal of International Money and Finance, Elsevier, vol. 38(C), pages 95-119.
    20. Pincheira-Brown, Pablo & Neumann, Federico, 2020. "Can we beat the Random Walk? The case of survey-based exchange rate forecasts in Chile," Finance Research Letters, Elsevier, vol. 37(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:mth:bmsmti:v:14:y:2023:i:2:p:71-84. 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: Technical Support Office (email available below). General contact details of provider: http://www.macrothink.org/journal/index.php/bms .

    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.