インフラ・エネルギー金融における資本配分とポートフォリオ最適化の概念的枠組み

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides a conceptual foundation for empirical testing and quantitative modeling in infrastructure and energy finance.

🏢実務担当者:Offers a structured decision-support tool for capital allocation and portfolio optimization incorporating sustainability principles.

🏛政策担当者:Highlights the need for policy frameworks that support transition finance and sustainable infrastructure investment.

Capital allocation and portfolio optimization are central challenges in infrastructure and energy finance, particularly in an era characterized by capital scarcity, climate transition pressures, regulatory complexity, and heightened risk uncertainty. This paper proposes a conceptual framework for capital allocation and portfolio optimization tailored to large-scale infrastructure and energy investments, integrating financial theory, risk management, and sustainability principles. The framework synthesizes modern portfolio theory, real options analysis, and multicriteria decision-making to address the unique long-term, capital-intensive, and policy-sensitive nature of infrastructure and energy assets. The proposed framework is structured around four interrelated dimensions: strategic capital prioritization, risk-adjusted valuation, portfolio diversification and optimization, and dynamic performance monitoring. Strategic capital prioritization aligns investment decisions with macroeconomic conditions, energy transition goals, and institutional mandates, ensuring coherence between financial returns and broader socioenvironmental objectives. Risk-adjusted valuation incorporates traditional financial metrics alongside project-specific risks such as regulatory uncertainty, technological obsolescence, commodity price volatility, and climate-related risks. Portfolio diversification and optimization emphasize cross-sectoral and geographic allocation to enhance resilience, reduce concentration risk, and improve risk-adjusted returns across infrastructure and energy asset classes. Dynamic performance monitoring enables adaptive rebalancing through continuous assessment of financial, operational, and sustainability indicators over the project lifecycle. By conceptualizing capital allocation as an iterative and adaptive process rather than a static optimization problem, the framework responds to the evolving risk-return profiles inherent in infrastructure and energy finance. The study contributes to the literature by offering an integrated perspective that bridges financial optimization with sustainability-driven investment decision-making. Practically, the framework provides policymakers, institutional investors, development finance institutions, and asset managers with a structured decision-support tool for evaluating, allocating, and optimizing capital across diverse infrastructure and energy portfolios. Ultimately, the framework supports more efficient capital deployment, improved portfolio resilience, and enhanced alignment between financial performance and long-term development and energy transition objectives in both developed and emerging market contexts. The framework is intentionally generic, allowing customization to different regulatory environments, financing structures, and institutional risk appetites, while maintaining analytical rigor. It also establishes a foundation for future empirical testing, quantitative modeling, and scenario-based simulations in infrastructure and energy investment research under uncertainty and transition dynamics

• semanticscholar https://iiardjournals.org/get/IJSSMR/VOL. 11 NO. 12 2025/A Conceptual Framework for Capital Allocation 475-502.pdffirst seen 2026-09-01 05:43:18
• openalex https://doi.org/10.56201/ijssmr.vol.11no12.2025.pg475.502first seen 2026-09-14 04:36:36