ALAALI WACC (A-WACC): A TAILORED APPROACH TO COST OF CAPITAL ESTIMATION IN CAPITAL-INTENSIVE INDUSTRIES

Abstract

ABSTRACT

Introduction: The weighted average cost of capital is widely used in corporate valuation, capital budgeting, and financing decisions, yet its practical reliability depends on whether the underlying equity and debt cost estimates adequately reflect changing risk conditions. This issue is particularly relevant in capital-intensive industries, where substantial financing requirements, leverage exposure, earnings volatility, and sensitivity to sector and macroeconomic conditions can materially alter the firm's financing environment.

Methods: This study develops Alaali WACC (A-WACC) as a theoretical extension of conventional WACC tailored to cost-of-capital estimation in capital-intensive industries. The model preserves the traditional debt-equity weighting structure while introducing explicit adjustments to the cost of equity and cost of debt. Equity adjustments incorporate earnings volatility, leverage-related risk, and firm-specific risk, while debt adjustments incorporate credit risk, sector-specific borrowing conditions, and macroeconomic or systemic risk. The model specifies the adjustment architecture, parameter relationships, assumptions, and comparative-static expectations.

Results: The theoretical formulation predicts that increases in firm-specific, leverage-related, credit, sector, or systemic risk raise the relevant financing-cost components and, consequently, A-WACC, while improvements in those conditions reduce the corresponding adjustments. The model therefore produces a condition-dependent cost of capital in which identifiable changes in risk states are transmitted through distinct equity and debt financing channels.

Discussion: A-WACC contributes an integrated and transparent risk-recalibration architecture for cost-of-capital estimation, with particular relevance to capital-intensive firms exposed to changing financing and risk conditions. The model remains theoretical and requires firm-level calibration, sector and cross-country testing, sensitivity analysis, and direct comparison with conventional WACC before any claim of empirical superiority or predictive improvement can be established.