This paper develops and tests the Accounting–Financial Engineering for Wealth Maximization (AFE-WM) framework, an integrated model that treats high-quality accounting information and disciplined financial engineering as complementary, causally linked levers for shareholder value creation. The framework's novelty lies in three contributions. First, it formalises the accounting–financial engineering interface through an information-then-risk-transfer sequence, in which accounting quality lowers the information component of the cost of capital and financial engineering converts the residual undiversifiable risk into hedgeable, tradable, or securitisable exposures. Second, it specifies eight testable propositions linking accounting quality, value-based metrics (Economic Value Added, Market Value Added), capital-structure choice, derivatives use, and modern fintech-enabled instruments (tokenisation, AI-assisted risk management) to risk-adjusted shareholder returns. Third, it integrates archival quantitative analysis of 487 S firms in the top tercile of derivatives use exhibit 41% lower cash-flow volatility and 6.2% higher five-year Total Shareholder Return than the bottom tercile. The paper closes with a worked Black–Scholes pricing example, an EVA decomposition for Apple, a Monte Carlo hedging simulation, an international transferability discussion, and a robustness battery using alternative leverage and wealth proxies. The findings have direct implications for chief financial officers, treasurers, auditors, and standard-setters seeking to align reporting, risk management, and value creation.
Ripon Chandra Das Ripon Chandra Das (Mon,) studied this question.