基于因子模型的中国绿色金融溢价异常

Lianqian Yin, Qiuju Wang
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引用次数: 0

摘要

摘要绿色生产者的正外部性通常会降低企业的收益。市场是否给予足够的溢价很重要。本文以2005年5月至2017年4月沪深两市a股主板上市公司数据为样本,基于市场因子RMRF、规模因子SMB、账面市值比因子HML和绿色因子GF构建了12个投资组合。结果表明:1)SMB溢价显著为正,HML溢价显著为负;2)对于绿色概念股,html具有显著的正向影响;3)非绿色概念股投资组合收益较高;4) GF对中国绿色概念股存在显著的负风险溢价,且溢价水平会随着账面市值比的增加而降低。对上述溢价异常现象的解读,完善了国家环保政策,对形成健全的环保产业具有重要意义。关键词:因子模型;绿色金融;溢价异常;超额收益;环境保护。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
China's Green Finance Premium Anomalies Based on Factor Models
Abstract The positive externalities of green producers usually reduce the company's earnings. Whether the markets give sufficient premium is important. Sampling the data of listed companies from May 2005 to April 2017 in Shanghai and Shenzhen A-share main-board markets, we construct 12 portfolios based on market factor RMRF, scale factor SMB, book-to-market factor HML and green factor GF. Results show: 1) SMB premium is significant positive, while HML is negative; 2) For green concept stocks, HML has a significant positive impact; 3) Portfolio with non-green concept stocks has a higher return; 4) GF has a significant negative risk premium on China’s green concept stocks, and the premium level will decrease as the book-to-market ratio increases. The interpretation of the above premium anomalies improves national environmental protection policies which is of great significance for the formation of a sound environmental protection industry. Keywords: Factor Model; Green Finance; Premium Anomalies; Excess Return; Environmental Protection.
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