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Effects of mergers on corporate performance: An empirical evaluation using OLS and the empirical Bayesian methods

Author

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  • Abdul Rashid
  • Nazia Naeem

Abstract

In this paper, we empirically examine the impact of mergers on corporate financial performance in Pakistan using data on the deals occurred during the period 1995–2012. Ordinary least squares (OLS) and empirical Bayesian estimation methods are applied to carry out empirical analysis. The OLS regression results suggest that the merger deals do not have any significant impact on the profitability, liquidity, and leverage position of the firms. However, the estimates indicate that the merger deals have a negative and statistically significant impact on quick ratio of merged/acquirer firms. We show that the results of the empirical Bayesian method are largely consistent with the OLS results.

Suggested Citation

  • Abdul Rashid & Nazia Naeem, 2017. "Effects of mergers on corporate performance: An empirical evaluation using OLS and the empirical Bayesian methods," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 10-24, March.
    • Handle: RePEc:bor:bistre:v:17:y:2017:i:1:p:10-24
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    Citations

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    Cited by:

    1. Méndez Ortega, Carles, & Teruel, Mercedes, 2018. "To acquire or not to acquire: Mergers and Acquisitions in the Software Industry," Working Papers 2072/307043, Universitat Rovira i Virgili, Department of Economics.
    2. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.
    3. Simon RAFAQAT & Sahil RAFAQAT & Saoul RAFAQAT & Dawood RAFAQAT, 2021. "Impact of Merger and Acquisition on the Profitability of Medium Sized Technology Companies Listed on New York Stock Exchange," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 12(2), pages 124-139, December.
    4. Evans Opoku‐Mensah & Yuming Yin & Sandra Chukwudumebi Obiora & Peter Adjei Darko, 2022. "Grabbing hand or helping hand? Ownership interventions and acquirers returns; the role of provincial idiosyncrasies," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4797-4815, October.
    5. Gaganis, Chrysovalantis & Pasiouras, Fotios & Voulgari, Fotini, 2019. "Culture, business environment and SMEs' profitability: Evidence from European Countries," Economic Modelling, Elsevier, vol. 78(C), pages 275-292.
    6. Carles Méndez-Ortega & Mercedes Teruel, 2020. "To acquire or not to acquire: the effects of acquisitions in the software industry," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 793-814, July.

    More about this item

    Keywords

    Mergers and acquisitions; Financial performance; Profitability; Liquidity; Leverage; Empirical Bayesian;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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