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Abstract
This study explores the theoretical misalignments in contemporary global financial strategies amid rapidly evolving digital, geopolitical, and sustainability-driven dynamics. The objective is to identify where and why classical financial theories—such as the Capital Asset Pricing Model, agency theory, Modigliani–Miller propositions, and mean-variance portfolio optimization—fail to account for the strategic behaviors observed in today's financial ecosystems. Employing a qualitative, literature-based research design, the study integrates 142 scholarly and institutional sources published between 2015 and 2025. Through a reflexive thematic analysis, the research identifies four critical domains of theory–practice divergence: digital disequilibrium, geopolitical asymmetry, sustainability valuation gaps, and behavioral–algorithmic reflexivity. The findings demonstrate that digital finance introduces endogenous structural risks unmodeled in traditional frameworks; geopolitical fragmentation has shifted capital structure choices away from open-market logic; ESG integration significantly influences firm valuation and cost of capital, challenging existing models; and the rise of machine learning and behavioral feedback loops undermines rational-agent assumptions. These insights reveal the necessity for a paradigm shift in financial theory—toward models that are adaptive, multi-dimensional, and reflective of technological and systemic complexity. The study concludes that without theoretical evolution, strategic financial decisions risk being anchored to outdated assumptions, leading to suboptimal risk management and value creation. The implications extend to scholars, managers, and regulators seeking to realign financial strategy with emerging global realities.
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References
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References
Bank for International Settlements. (2023). Basel III Monitoring Report. Basel: BIS.
Basiru, A., Adegbite, E., & Tanko, M. (2023). Emerging market financial strategies and valuation anomalies in the digital age. Journal of Emerging Financial Markets, 12(1), 45–62.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Financial Times. (2025). The trades that will shape a new financial crisis. London: FT.
Fu, L., Huang, Y., & Yao, Y. (2024). Does algorithmic trading induce herding? International Journal of Finance & Economics, 29(2), 2153–2178.
Fuertes, A.-M., & Yarovaya, L. (2024). Herding and information cascades in cryptocurrency markets. Financial Innovation, 10(1), 33–58.
Haldane, A., & Turrell, A. (2023). AI-driven portfolio allocation and systemic risk. Bank of England Working Paper, 948.
Hart, O., & Zingales, L. (2023). Corporate leaders say they are for stakeholder capitalism. Harvard Business School Working Paper, 24-008.
Hernández, J., & Ma, Q. (2025). Geopolitical risk and trade reorientation dynamics. International Economic Journal, 39(1), 1–29.
International Monetary Fund. (2024). Global Financial Stability Report: Safeguarding Financial Resilience amid Uncertainty. Washington, DC: IMF.
International Monetary Fund. (2025). Global Financial Stability Report: Enhancing Resilience amid Global Trade Uncertainty. Washington, DC: IMF.
ISS Governance. (2025). The Governance of Geopolitical Risk in 2025. ISS STOXX Memorandum.
Jesson, J. K., Matheson, L., & Lacey, F. M. (2011). Doing your literature review: Traditional and systematic techniques. London: SAGE Publications.
Kong, L., & Li, P. (2024). ESG disclosure and cost of debt: International evidence. Cogent Business & Management, 11(1), 2437137.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Newbury Park, CA: SAGE Publications.
Lin, Q. (2024). ESG and financial theory: From constraint to catalyst. Review of Sustainable Finance, 18(2), 87–102.
Mishra, R. (2025). Strategic finance under geopolitical risk: A governance perspective. Journal of International Financial Management, 31(1), 12–39.
Noblit, G. W., & Hare, R. D. (1988). Meta-ethnography: Synthesizing qualitative studies. Newbury Park, CA: SAGE Publications.
OECD. (2025). Predictive analytics in FinTech: AI-powered lending & investment strategies for 2025. Paris: OECD Publishing.
OECD. (2025). Tokenisation of assets and distributed ledger technologies in financial markets. Paris: OECD Publishing.
Review of Finance. (2023). Sustainable finance: Trends, drivers and policy frameworks. Review of Finance, 26(6), 1309–1337.
Rivera, T. (2025). Digital finance disruption: Strategic implications of FinTech innovation. Global Finance Review, 21(1), 23–54.
Tanner, G. (2025). Algorithmic price discovery and cross-market mispricing. Journal of Quantitative Finance, 26(4), 531–556.
Timmermans, S., & Tavory, I. (2012). Theory construction in qualitative research: From grounded theory to abductive analysis. Sociological Theory, 30(3), 167–186.
Torraco, R. J. (2016). Writing integrative literature reviews: Using the past and present to explore the future. Human Resource Development Review, 15(4), 404–428.
Vogue Business. (2025). The climate-finance glossary: The hidden cost. London: Condé Nast.
Whittemore, R., & Knafl, K. (2005). The integrative review: Updated methodology. Journal of Advanced Nursing, 52(5), 546–553.
World Economic Forum. (2025). Asset tokenization in financial markets: The next generation of digital infrastructure. Geneva: WEF.