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Reinventing climate investing: building equity portfolios for climate risk mitigation and adaptation

机译:重塑气候投资:建立资产组合以减轻和适应气候风险

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Institutional investors are increasingly concerned with the material financial risks associated with global warming and the impacts of climate change on corporate financial performance and security returns. The challenge remains how to empirically quantify climate risk from an investment perspective and build investable portfolios that address the transition to a low-carbon economy. This study analyzes the available metrics for capturing climate-related investment considerations. We undertake a comprehensive review of the data characteristics for metrics such as carbon intensity, green revenue, and fossil fuel reserves, highlighting their coverage and distributional characteristics. These data characteristics are critical when integrating them into investment strategies. Building on our findings, we propose a framework for building climate strategies within public equities which rests on both mitigating the impact of climate risk today and adapting to climate risk in the future. This 'mitigation and adaptation' framework has enough flexibility to build portfolios at different levels of concentration, tracking error, and climate risk exposure. For example, we can build a portfolio which aligns with climate model projections. We illustrate our framework with a portfolio calibrated to align with the most conservative climate model projections, which seek to limit cumulative CO_2 emissions to a threshold below the 2°C scenario.
机译:机构投资者越来越担心与全球变暖相关的重大财务风险,以及气候变化对公司财务业绩和安全回报的影响。面临的挑战仍然是如何从投资角度对气候风险进行实证量化,并建立可投资的投资组合以应对向低碳经济过渡的问题。这项研究分析了可用于衡量与气候相关的投资考虑因素的指标。我们对数据特征进行了全面的审查,以衡量碳强度,绿色收入和化石燃料储量等指标,并突出显示了它们的覆盖范围和分布特征。这些数据特征在将其集成到投资策略中时至关重要。根据我们的发现,我们提出了一个在公共股权内建立气候战略的框架,该框架既要减轻当今气候风险的影响,又要适应未来的气候风险。这种“缓解和适应”框架具有足够的灵活性,可以建立不同集中度,跟踪误差和气候风险暴露水平的投资组合。例如,我们可以建立一个与气候模型预测一致的投资组合。我们用经过校准的投资组合来说明我们的框架,该投资组合与最保守的气候模型预测相一致,该预测试图将累积的CO_2排放限制在2°C以下。

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