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Impacts Of Firm-Specific Factors And Macroeconomic Factors Against Microsoft’S Performance

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  • Kah Chon, Ooi

Abstract

The purpose of this study is to identify the relationship of firm-specific factors and macroeconomics factors towards the Microsoft’s performance, return on assets (ROA) of Microsoft Corporation in United States over the five years. The company that chosen by the researcher is Microsoft Corporation which is in software industry. The analysis is based on the sample of data in Microsoft from 2014 to 2018. This study has conducted a trend analysis towards return on assets (ROA), credit ratio, average collection period, operating margin, macroeconomic environment, price changes and corporate governance index to figure out the variables that influence the performance of the company. Researcher has used Statistical Package for Social Sciences (SPSS) tool to identify the relationship between return of assets (ROA) with internal and external variables which include SPSS output of descriptive analysis, correlation, coefficient, modal summary and ANOVA table. The finding showed that Microsoft’s performance can be influenced by the internal and external environment. The study showed that Microsoft’ performance is significantly influenced by current ratio and operating margin. However, for the external variables, interest rate and gross domestic product (GDP) are influencing Microsoft’s return on assets (ROA).

Suggested Citation

  • Kah Chon, Ooi, 2019. "Impacts Of Firm-Specific Factors And Macroeconomic Factors Against Microsoft’S Performance," MPRA Paper 97254, University Library of Munich, Germany, revised 15 Nov 2019.
    • Handle: RePEc:pra:mprapa:97254
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    References listed on IDEAS

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    1. Aisyah Abdul-Rahman & Noor Latifah Hanim Mohd Said & Ahmad Azam Sulaiman, 2017. "Financing Structure and Liquidity Risk: Lesson from Malaysian Experience," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 6(2), pages 125-148.
    2. Andreas Jobst, 2007. "Operational Risk: The Sting is Still in the Tail But the Poison Dependson the Dose," IMF Working Papers 2007/239, International Monetary Fund.
    3. Yi-Kai Chen & Chung-Hua Shen & Lanfeng Kao & Chuan-Yi Yeh, 2018. "Bank Liquidity Risk and Performance," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-40, March.
    4. Mohd. Heikal & Muammar Khaddafi & Ainatul Ummah, 2014. "Influence Analysis of Return on Assets (ROA), Return on Equity (ROE), Net Profit Margin (NPM), Debt To Equity Ratio (DER), and current ratio (CR), Against Corporate Profit Growth In Automotive In Indo," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(12), pages 101-114, December.
    5. Omar Durrah & Abdul Aziz Abdul Rahman & Syed Ahsan Jamil & Nour Aldeen Ghafeer, 2016. "Exploring the Relationship between Liquidity Ratios and Indicators of Financial Performance: An Analytical Study on Food Industrial Companies Listed in Amman Bursa," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 435-441.
    6. Sufi Faizan Ahmed & Qaisar Ali Malik, 2015. "Credit Risk Management and Loan Performance: Empirical Investigation of Micro Finance Banks of Pakistan," International Journal of Economics and Financial Issues, Econjournals, vol. 5(2), pages 574-579.
    7. Aykut Ekinci, 2016. "The Effect of Credit and Market Risk on Bank Performance: Evidence from Turkey," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 427-434.
    8. Jane Gathigia Muriithi & Kennedy Munyua Waweru, 2017. "Liquidity Risk and Financial Performance of Commercial Banks in Kenya," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(3), pages 256-265, March.
    9. Jane Gathigia Muriithi & Kennedy Munyua Waweru, 2017. "Operational Risk, Bank Size and the Financial Performance of Commercial Banks in Kenya," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(3), pages 39-50, April.
    10. Pavel NASTASE & Simona Felicia UNCHIASU, 2013. "Implications of the Operational Risk Practices Applied in the Banking Sector on the Information Systems Area," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 12(1), pages 101-117, March.
    11. Sumathi Kumaraswamy, 2016. "Impact of Working Capital on Financial Performance of Gulf Cooperation Council Firms," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1136-1142.
    12. Frain, John & Meegan, Conor, 1996. "Market Risk: An introduction to the concept & analytics of Value-at-risk," Research Technical Papers 7/RT/96, Central Bank of Ireland.
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    More about this item

    Keywords

    Firm-specific factors; Macroeconomics factors; Microsoft’s performance; Significantly influence;
    All these keywords.

    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
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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