Common Shocks and Climate Risk in European Equities

IF 3.4 3区 经济学 Q1 ECONOMICS
Andrea Cipollini, Fabio Parla
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引用次数: 0

Abstract

We examine the contribution of a shock to climate concern to the observed outperformance of a portfolio of European green stocks relative to a brown benchmark. We show, first, that an information set given by 1-month stock return and realized volatility of each stock constituent (and their cross-sectional averages) improves the (in-sample) forecasting performance for the return series relative to the traditional market risk factors proxied by Fama–French portfolios. Moreover, the identification of the shock to climate concern occurs in two stages: First, we compute the historical decomposition based on a Panel SVAR fitted to the return and volatility of each green and brown portfolio constituent. Then, the contribution of the first common shock to the historical decomposition of returns is purged of macroeconomic forecast errors, and the residual is interpreted as the innovation to climate concern. The empirical evidence is robust to a number of different selections of stocks entering the green and brown portfolio.

我们研究了气候问题的冲击对欧洲绿色股票投资组合相对于棕色基准的超额收益的影响。首先,我们表明,相对于法马-法式投资组合所代表的传统市场风险因素,由每个股票成分的 1 个月股票收益率和已实现波动率(及其横截面平均值)所给出的信息集提高了收益率序列的(样本内)预测性能。此外,气候担忧冲击的识别分为两个阶段:首先,我们根据拟合每个绿色和棕色投资组合成分收益率和波动率的面板 SVAR 计算历史分解。然后,剔除宏观经济预测误差,将第一个共同冲击对收益历史分解的贡献和残差解释为气候担忧的创新。经验证据对进入绿色和棕色投资组合的不同股票选择具有稳健性。
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来源期刊
CiteScore
5.40
自引率
5.90%
发文量
91
期刊介绍: The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological. A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged. Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment. Of particular interest are papers dealing with modelling issues and the relationship of forecasting systems to decision-making processes.
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