Conceptual Model for Evaluating Mid-Market M&A Transactions Using Risk-Adjusted Discounted Cash Flow Analysis

References

[1] Abass, O.S., Balogun, O. & Didi P.U., 2019. A Predictive Analytics Framework for Optimizing Preventive Healthcare Sales and Engagement Outcomes. IRE Journals, 2(11), pp.497–503.

[2] Acharya, V. V., Engle, R., & Richardson, M. (2017). Capital shortfall: A new approach to ranking and regulating systemic risks. American Economic Review, 102(3), 59–64.

[3] Acharya, V. V., Gottschalg, O., Hahn, M., & Kehoe, C. (2017). Corporate governance and value creation: Evidence from private equity. Review of Financial Studies, 30(2), 524–567.

[4] Aduwo, M. O., & Nwachukwu, P. S. (2019). Dynamic Capital Structure Optimization in Volatile Markets: A Simulation-Based Approach to Balancing Debt and Equity Under Uncertainty. IRE Journals, 3(2), 783–792.

[5] Aduwo, M. O., Akonobi, A. B., & Okpokwu, C. O. (2019). A Predictive HR Analytics Model Integrating Computing and Data Science to Optimize Workforce Productivity Globally. IRE Journals, 3(2), 798–807.

[6] Aduwo, M. O., Akonobi, A. B., & Okpokwu, C. O. (2019). Strategic Human Resource Leadership Model for Driving Growth, Transformation, and Innovation in Emerging Market Economies. IRE Journals, 2(10), 476–485.

[7] ALAO, O. B., NWOKOCHA, G. C., & MORENIKE, O. (2019). Supplier Collaboration Models for Process Innovation and Competitive Advantage in Industrial Procurement and Manufacturing Operations.

[8] ALAO, O. B., NWOKOCHA, G. C., & MORENIKE, O. (2019). Vendor Onboarding and Capability Development Framework to Strengthen Emerging Market Supply Chain Performance and Compliance. ecosystems, 16, 17.

[9] Almeida, H., & Philippon, T. (2007). The risk-adjusted cost of financial distress. Journal of Finance, 62(6), 2557–2586.

[10] Andrade, G., Mitchell, M., & Stafford, E. (2001). New evidence and perspectives on mergers. Journal of Economic Perspectives, 15(2), 103–120.

[11] Ang, A. (2014). Asset management: A systematic approach to factor investing. Oxford University Press.

[12] ATOBATELE, O. K., HUNGBO, A. Q., & ADEYEMI, C. (2019). Evaluating the Strategic Role of Economic Research in Supporting Financial Policy Decisions and Market Performance Metrics.

[13] Ayanbode, N., Cadet, E., Etim, E. D., Essien, I. A., & Ajayi, J. O. (2019). Deep learning approaches for malware detection in large-scale networks. IRE Journals, 3(1), 483–489. https://irejournals.com/formatedpaper/1710371.pdf

[14] Baker, M., Ruback, R. S., & Wurgler, J. (2007). Behavioral corporate finance: A survey. Handbook of Corporate Finance: Empirical Corporate Finance, 145–186.

[15] Balogun, O., Abass, O.S. & Didi P.U., 2019. A Multi-Stage Brand Repositioning Framework for Regulated FMCG Markets in Sub-Saharan Africa. IRE Journals, 2(8), pp.236–242.

[16] Bankole, F. A., & Lateefat, T. (2019). Strategic cost forecasting framework for SaaS companies to improve budget accuracy and operational efficiency. IRE Journals, 2(10), 421–432.

[17] Bargeron, L., Schlingemann, F., Stulz, R., & Zutter, C. (2018). Why do private acquirers pay so little compared to public acquirers? Journal of Financial Economics, 129(1), 132–149.

[18] Berk, J., & DeMarzo, P. (2017). Corporate finance (4th ed.). Pearson.

[19] Berk, J., & DeMarzo, P. (2019). Corporate finance (5th ed.). Pearson.

[20] Bruner, R. (2004). Applied mergers and acquisitions. Wiley.

[21] Bukhari, T.T., Oladimeji, O., Etim, E.D. & Ajayi, J.O., 2018. A Conceptual Framework for Designing Resilient Multi-Cloud Networks Ensuring Security, Scalability, and Reliability Across Infrastructures. IRE Journals, 1(8), pp.164-173. DOI: 10.34256/irevol1818

[22] Bukhari, T.T., Oladimeji, O., Etim, E.D. & Ajayi, J.O., 2019. A Predictive HR Analytics Model Integrating Computing and Data Science to Optimize Workforce Productivity Globally. IRE Journals, 3(4), pp.444-453. DOI: 10.34256/irevol1934

[23] Bukhari, T.T., Oladimeji, O., Etim, E.D. & Ajayi, J.O., 2019. Toward Zero-Trust Networking: A Holistic Paradigm Shift for Enterprise Security in Digital Transformation Landscapes. IRE Journals, 3(2), pp.822-831. DOI: 10.34256/irevol1922

[24] Cochrane, J. H. (2011). Asset pricing. Princeton University Press.

[25] Copeland, T., & Antikarov, V. (2003). Real options: A practitioner’s guide. Texere.

[26] Dako, O. F., Onalaja, T. A., Nwachukwu, P. S., Bankole, F. A., & Lateefat, T. (2019). AI-driven fraud detection enhancing financial auditing efficiency and ensuring improved organizational governance integrity. IRE Journals, 2(11), 556–563.*

[27] Dako, O. F., Onalaja, T. A., Nwachukwu, P. S., Bankole, F. A., & Lateefat, T. (2019). Blockchain-enabled systems fostering transparent corporate governance, reducing corruption, and improving global financial accountability. IRE Journals, 3(3), 259–266.*

[28] Dako, O. F., Onalaja, T. A., Nwachukwu, P. S., Bankole, F. A., & Lateefat, T. (2019). Business process intelligence for global enterprises: Optimizing vendor relations with analytical dashboards. IRE Journals, 2(8), 261–270.*

[29] Damodaran, A. (2012). Investment valuation: Tools and techniques for determining the value of any asset. John Wiley & Sons.

[30] Damodaran, A. (2018). The dark side of valuation: Valuing young, distressed, and complex businesses. Journal of Applied Corporate Finance, 30(1), 8–22.

[31] Didi, P.U., Abass, O.S. & Balogun, O., 2019. A Multi-Tier Marketing Framework for Renewable Infrastructure Adoption in Emerging Economies. IRE Journals, 3(4), pp.337-346. ISSN: 2456-8880.

[32] Eckbo, B. E. (2014). Handbook of empirical corporate finance. Elsevier.

[33] Erigha, E. D., Obuse, E., Ayanbode, N., Cadet, E., & Etim, E. D. (2019). Machine learning-driven user behavior analytics for insider threat detection. IRE Journals, 2(11), 535–544. (ISSN: 2456-8880)

[34] Essien, I. A., Cadet, E., Ajayi, J. O., Erigha, E. D., & Obuse, E. (2019). Cloud security baseline development using OWASP, CIS benchmarks, and ISO 27001 for regulatory compliance. IRE Journals, 2(8), 250–256. https://irejournals.com/formatedpaper/1710217.pdf

[35] Essien, I. A., Cadet, E., Ajayi, J. O., Erigha, E. D., & Obuse, E. (2019). Integrated governance, risk, and compliance framework for multi-cloud security and global regulatory alignment. IRE Journals, 3(3), 215–221. https://irejournals.com/formatedpaper/1710218.pdf

[36] Etim, E. D., Essien, I. A., Ajayi, J. O., Erigha, E. D., & Obuse, E. (2019). AI-augmented intrusion detection: Advancements in real-time cyber threat recognition. IRE Journals, 3(3), 225–231. https://irejournals.com/formatedpaper/1710369.pdf

[37] Evans-Uzosike, I.O. & Okatta, C.G., 2019. Strategic Human Resource Management: Trends, Theories, and Practical Implications. Iconic Research and Engineering Journals, 3(4), pp.264-270.

[38] Fama, E. F., & French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116(1), 1–22.

[39] Fasasi, S. T., Adebowale, O. J., Abdulsalam, A., & Nwokediegwu, Z. Q. S. (2019). Benchmarking performance metrics of methane monitoring technologies in simulated environments. Iconic Research and Engineering Journals, 3(3), 193–202.

[40] Fernandez, P. (2019). Valuation methods and models in practice. Journal of Applied Finance, 29(2), 12–34.

[41] Gamba, A., & Fusari, N. (2009). Valuing corporate securities under stochastic volatility and jumps. Review of Financial Studies, 22(2), 554–593.

[42] Gaughan, P. A. (2017). Mergers, acquisitions, and corporate restructurings (6th ed.). Wiley.

[43] Gaughan, P. A. (2018). Mergers, acquisitions, and corporate restructurings. John Wiley & Sons.

[44] Gole, W., & Hilger, P. (2018). Corporate Divestitures: A Mergers and Acquisitions Best Practices Guide. Wiley.

[45] Humphery-Jenner, M., & Powell, R. (2018). Firm size, takeover profitability, and risk. Journal of Corporate Finance, 49, 410–429.

[46] Kaplan, S. N., & Ruback, R. S. (1995). The valuation of cash flow forecasts: An empirical analysis. Journal of Finance, 50(4), 1059–1093.

[47] Kaplan, S. N., & Stromberg, P. (2019). Leveraged buyouts and private equity. Journal of Economic Perspectives, 33(1), 23–48.

[48] Koller, T., Goedhart, M., & Wessels, D. (2010). Valuation: Measuring and managing the value of companies. McKinsey & Company.

[49] Laamanen, T. (2007). On the role of acquisition premium in acquisition research. Strategic Management Journal, 28(13), 1359–1369.

[50] Liu, Y., Mauer, D. C., & Zhang, Y. (2019). Firm cash policy and mergers and acquisitions. Journal of Corporate Finance, 56, 224–240.

[51] Luehrman, T. A. (1997). Using APV: A better tool for valuing operations. Harvard Business Review, 75(3), 145–154.

[52] Mauboussin, M. J., & Callahan, D. (2015). Measuring the moat: Assessing the magnitude and sustainability of value creation. Credit Suisse Global Financial Strategies.

[53] Mauboussin, M. J., & Callahan, D. (2019). Valuation: Measuring and Managing the Value of Companies. Wiley.

[54] Menson, W. N. A., Olawepo, J. O., Bruno, T., Gbadamosi, S. O., Nalda, N. F., Anyebe, V., ... & Ezeanolue, E. E. (2018). Reliability of self-reported Mobile phone ownership in rural north-Central Nigeria: cross-sectional study. JMIR mHealth and uHealth, 6(3), e8760.

[55] Myers, S. C. (1984). The capital structure puzzle. Journal of Finance, 39(3), 575–592.

[56] Nwaimo, C.S., Oluoha, O.M. & Oyedokun, O., 2019. Big Data Analytics: Technologies, Applications, and Future Prospects. Iconic Research and Engineering Journals, 2(11), pp.411-419.

[57] NWOKOCHA, G. C., ALAO, O. B., & MORENIKE, O. (2019). Strategic Vendor Relationship Management Framework for Achieving Long-Term Value Creation in Global Procurement Networks.

[58] Officer, M. S. (2007). The price of corporate liquidity: Acquisition discounts for unlisted targets. Journal of Financial Economics, 83(3), 571–598.

[59] Okenwa, O.K., Uzozie, O.T. & Onaghinor, O., (2019). Supply Chain Risk Management Strategies for Mitigating Geopolitical and Economic Risks. IRE Journals, 2(9), pp.242-249. ISSN: 2456-8880

[60] Olawale, O., Adediran, A. A., Talabi, S. I., Nwokocha, G. C., & Ameh, A. O. (2017). Inhibitory action of Vernonia amygdalina extract (VAE) on the corrosion of carbon steel in acidic medium. Journal of Electrochemical Science and Engineering, 7(3), 145-152.

[61] Onalaja, T. A., Nwachukwu, P. S., Bankole, F. A., & Lateefat, T. (2019). A dual-pressure model for healthcare finance: Comparing United States and African strategies under inflationary stress. IRE Journals, 3(6), 261–270.

[62] Otokiti, B. O. (2017). A study of management practices and organisational performance of selected MNCs in emerging market-A Case of Nigeria. International Journal of Business and Management Invention, 6(6), 1-7.

[63] Otokiti, B. O. (2017). Social media and business growth of women entrepreneurs in Ilorin metropolis. International Journal of Entrepreneurship, Business and Management, 1(2), 50-65.

[64] Otokiti, B. O., & Akorede, A. F. (2018). Advancing sustainability through change and innovation: A co-evolutionary perspective. Innovation: Taking creativity to the market. Book of Readings in Honour of Professor SO Otokiti, 1(1), 161-167.

[65] Pástor, Ľ., & Veronesi, P. (2009). Technological revolutions and stock prices. American Economic Review, 99(4), 1451–1483.

[66] Pinto, J. E., Robinson, T. R., & Stowe, J. D. (2019). Equity asset valuation (4th ed.). Wiley.

[67] Rossi, S., & Volpin, P. (2019). Cross-country determinants of mergers and acquisitions. Journal of International Business Studies, 50(2), 259–283.

[68] Scholten, J., Eneogu, R., Ogbudebe, C., Nsa, B., Anozie, I., Anyebe, V., ... & Mitchell, E. (2018). Ending the TB epidemic: role of active TB case finding using mobile units for early diagnosis of tuberculosis in Nigeria. The international Union Against Tuberculosis and Lung Disease, 11, 22.

[69] Shleifer, A., & Vishny, R. W. (2019). Corporate governance and investor protection. Journal of Financial Economics, 132(2), 337–353.

[70] Sudarsanam, S. (2010). Creating value from mergers and acquisitions: The challenges. Pearson Education.

[71] Umoren, O., Didi, P.U., Balogun, O., Abass, O.S. & Akinrinoye, O.V., 2019. Linking Macroeconomic Analysis to Consumer Behavior Modeling for Strategic Business Planning in Evolving Market Environments. IRE Journals, 3(3), pp.203-210.

[72] Uzozie, O.T., Onaghinor, O. & Okenwa, O.K., (2019). The Influence of Big Data Analytics on Supply Chain Decision-Making. IRE Journals, 3(2), pp.754-761. ISSN: 2456-8880

@article{1711157,
      author = {Aminat Opeyemi Shobande, Deborah Atere, Ibukunoluwa Hannah Toluwase},
      title = {Conceptual Model for Evaluating Mid-Market M&A Transactions Using Risk-Adjusted Discounted Cash Flow Analysis},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {2},
      number = {7},
      pages = {241-254},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711157.pdf},
      abstract = {Mid-market mergers and acquisitions (M&A) represent a critical segment of corporate finance, where firms seek strategic growth and value creation through consolidation. However, these transactions are often characterized by heightened uncertainty, asymmetric information, and varying capital structures that complicate valuation. This review develops a conceptual model for evaluating mid-market M&A transactions using a risk-adjusted discounted cash flow (DCF) approach. Unlike conventional DCF analysis, which assumes relatively stable cash flow projections and discount rates, the proposed model incorporates transaction-specific risks such as integration complexity, financing constraints, and market volatility. The framework synthesizes insights from corporate finance theory, behavioral finance, and risk management, emphasizing the need for adaptive discount rates that reflect both systematic and idiosyncratic risks. By aligning risk-adjusted returns with transaction structure and industry benchmarks, the model enhances decision-making for investors, advisors, and corporate managers. Additionally, it addresses limitations of traditional valuation methods by integrating scenario analysis, sensitivity testing, and probabilistic modeling. This paper contributes to the literature on M&A valuation by providing a structured lens for understanding mid-market transactions, where standard approaches often underperform due to scale-specific risks. Ultimately, the model offers a practical foundation for improving valuation accuracy and deal outcomes in this dynamic market segment.},
      keywords = {Mid-Market Mergers and Acquisitions, Risk-Adjusted Discounted Cash Flow, Transaction Valuation Models, Corporate Finance Strategy, Integration and Synergy Risks, Scenario and Sensitivity Analysis.},
      month = {January},
  }