Common risk factors for Latin American electric utilities

IF 4.4 3区 经济学 Q3 ENERGY & FUELS Utilities Policy Pub Date : 2025-04-01 Epub Date: 2024-12-09 DOI:10.1016/j.jup.2024.101812
Jorge Armando Bedoya-Cadavid , Angela María Lanzas-Duque , Harold Salazar
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Abstract

Investment in electric power infrastructure is needed to ensure access to affordable, secure, and sustainable energy in Latin America by 2030. A determining factor to stimulate this type of investment is the rate of return approved by the regulatory commissions. The return expected by investors (cost of equity) depends on the risks associated with these investments. Regulatory commissions commonly use the Capital Asset Pricing Model (CAPM), for which only market risk is relevant. Market risk is low for regulated firms, ignoring other risk types, and is measured with firms and variables outside the Latin American region. This procedure, however, does not consider the risks these types of investments are exposed to in Latin America. In this analysis, six risk factors were initially proposed to explain the risk-return relationship of these types of investments; nevertheless, after an exploratory analysis of the factors, two factors were eliminated to form a four-factor model (Electric-4). Then, the CAPM model was contrasted with the Electric-4 model. Both models used Latin American firms and market variables, and both were evaluated between July 2010 and July 2022. The analysis sample comprises 28 electric utilities dedicated to transmission and distribution. Through regression analysis, we found that the Electric-4 model explains a higher percentage of the variations in the portfolio returns of electric utilities in the Latin American Integrated Market (MILA), São Paulo Stock Exchange (BM&F), and Buenos Aires Stock Exchange (BCBA). These results help to understand the risk-return relationship of electric power infrastructure investments in the Americas for investment decision-making. In addition, the proposed model aids the regulatory commissions in Latin America in establishing an adequate return on equity cost of capital that encourages investments in electric power infrastructure.
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拉丁美洲电力公用事业的共同风险因素
为了确保到2030年拉丁美洲获得负担得起、安全和可持续的能源,需要对电力基础设施进行投资。刺激这类投资的一个决定性因素是监管委员会批准的回报率。投资者期望的回报(权益成本)取决于与这些投资相关的风险。监管委员会通常使用资本资产定价模型(CAPM),其中只有市场风险是相关的。受监管公司的市场风险较低,忽略其他风险类型,并以拉丁美洲地区以外的公司和变量进行衡量。但是,这一程序没有考虑到这类投资在拉丁美洲面临的风险。在这一分析中,最初提出了六个风险因素来解释这些类型的投资的风险收益关系;然而,经过对因素的探索性分析,我们剔除了两个因素,形成了一个四因素模型(Electric-4)。然后,将CAPM模型与Electric-4模型进行对比。这两个模型都使用了拉丁美洲公司和市场变量,并在2010年7月至2022年7月之间进行了评估。分析样本包括28家专门从事输配电的电力公司。通过回归分析,我们发现electric -4模型解释了拉丁美洲综合市场(MILA)、圣保罗证券交易所(BM&;F)和布宜诺斯艾利斯证券交易所(BCBA)的电力公用事业公司投资组合收益变化的较高百分比。这些结果有助于了解美洲电力基础设施投资的风险回报关系,为投资决策提供依据。此外,拟议的模式有助于拉丁美洲的管理委员会确定适当的资本权益成本回报,鼓励对电力基础设施的投资。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Utilities Policy
Utilities Policy ENERGY & FUELS-ENVIRONMENTAL SCIENCES
CiteScore
6.80
自引率
10.00%
发文量
94
审稿时长
66 days
期刊介绍: Utilities Policy is deliberately international, interdisciplinary, and intersectoral. Articles address utility trends and issues in both developed and developing economies. Authors and reviewers come from various disciplines, including economics, political science, sociology, law, finance, accounting, management, and engineering. Areas of focus include the utility and network industries providing essential electricity, natural gas, water and wastewater, solid waste, communications, broadband, postal, and public transportation services. Utilities Policy invites submissions that apply various quantitative and qualitative methods. Contributions are welcome from both established and emerging scholars as well as accomplished practitioners. Interdisciplinary, comparative, and applied works are encouraged. Submissions to the journal should have a clear focus on governance, performance, and/or analysis of public utilities with an aim toward informing the policymaking process and providing recommendations as appropriate. Relevant topics and issues include but are not limited to industry structures and ownership, market design and dynamics, economic development, resource planning, system modeling, accounting and finance, infrastructure investment, supply and demand efficiency, strategic management and productivity, network operations and integration, supply chains, adaptation and flexibility, service-quality standards, benchmarking and metrics, benefit-cost analysis, behavior and incentives, pricing and demand response, economic and environmental regulation, regulatory performance and impact, restructuring and deregulation, and policy institutions.
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