Using metals to hedge carbon emission allowances – Tail-risk and Omega ratio analysis

IF 10.2 2区 经济学 0 ENVIRONMENTAL STUDIES Resources Policy Pub Date : 2025-01-01 Epub Date: 2024-12-17 DOI:10.1016/j.resourpol.2024.105447
Dejan Živkov , Boris Kuzman , Miloš Japundžić
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Abstract

In recent years, carbon allowances have experienced significant volatility as a mechanism for reducing CO2 emissions. This study constructs two five-asset portfolios that include carbon emission allowances and various metals, to evaluate which portfolio offers lower exposure to extreme risk and a more favourable return-to-risk profile. Extreme risk is assessed using several parametric VaR models, such as the traditional normal VaR, two non-normal models (logistic and hyper-secant), and the CVaR model. The Omega ratio is utilized to gauge performance in terms of return-to-risk. The portfolios are constructed for both pre-crisis and crisis periods. The similarities in the structure of the constructed VaR portfolios suggest that different objective functions have a limited impact on portfolio design. However, the selection of the VaR model does affect the estimated downside risk, which is crucial for the accuracy of the model and effective extreme risk assessment. Both portfolios function as effective hedges for carbon allowances, achieving a reduction in extreme risk of over 60% during both periods. Nevertheless, the precious metals portfolio, dominated by gold, outperforms the industrial metals portfolio. Analysis of the Omega ratio shows that the precious metals portfolio consistently provides better risk-adjusted returns at all threshold levels, indicating that investors can enhance their returns by combining carbon allowances with precious metals. This outperformance is largely attributed to the significantly lower risk of gold compared to other metal commodities. The results may provide essential guidance for investors and decision-makers alike.
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利用金属对冲碳排放限额——尾部风险和欧米伽比率分析
近年来,作为一种减少二氧化碳排放的机制,碳配额经历了显著的波动。本研究构建了两种五资产组合,包括碳排放配额和各种金属,以评估哪种投资组合具有更低的极端风险暴露和更有利的风险回报。极端风险评估使用几个参数VaR模型,如传统的正态VaR,两个非正态模型(逻辑和超割线),以及CVaR模型。欧米伽比率被用来衡量风险回报方面的表现。这些投资组合是为危机前和危机时期构建的。构建的VaR投资组合结构的相似性表明,不同的目标函数对投资组合设计的影响有限。然而,VaR模型的选择确实会影响估计的下行风险,这对于模型的准确性和有效的极端风险评估至关重要。这两种投资组合都是碳排放限额的有效对冲,在这两段时间内,极端风险都降低了60%以上。然而,以黄金为主的贵金属投资组合表现优于工业金属投资组合。对Omega比率的分析表明,贵金属投资组合在所有阈值水平上都能提供更好的风险调整收益,这表明投资者可以通过将碳配额与贵金属结合来提高收益。这种优异的表现在很大程度上是由于与其他金属商品相比,黄金的风险要低得多。研究结果可能为投资者和决策者提供重要的指导。
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来源期刊
Resources Policy
Resources Policy ENVIRONMENTAL STUDIES-
CiteScore
13.40
自引率
23.50%
发文量
602
审稿时长
69 days
期刊介绍: Resources Policy is an international journal focused on the economics and policy aspects of mineral and fossil fuel extraction, production, and utilization. It targets individuals in academia, government, and industry. The journal seeks original research submissions analyzing public policy, economics, social science, geography, and finance in the fields of mining, non-fuel minerals, energy minerals, fossil fuels, and metals. Mineral economics topics covered include mineral market analysis, price analysis, project evaluation, mining and sustainable development, mineral resource rents, resource curse, mineral wealth and corruption, mineral taxation and regulation, strategic minerals and their supply, and the impact of mineral development on local communities and indigenous populations. The journal specifically excludes papers with agriculture, forestry, or fisheries as their primary focus.
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