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                【经管大讲堂2019第053期】

                作者:时间:2019-07-26浏览:748供图:审阅:来源:红牛彩票

                字体:

                报告题目:Dynamic links between CO2 emission, oil price and stock market

                报告所属学科:应用经济学

                报告人:肖玲

                报告时间:2019年8月6日 15:00

                报告地点:将军路校区经管楼703室

                报告摘要:

                European Emissions Trading System Union (EU-ETS) a cap-and-trade was launched in 2005 system. It hasestablished a pricing system for carbon emission. Trading is economically efficient in reducing carbon emission. The carbon price signifies the amount participants in the EU ETS are willing to pay per EU allowance (1 allowance (EUA) equals to 1 tonne of CO2). Over the course of Phase 3, there are 50% of allowances will be auctioned. ICE Futures Europe is conducting auctions. The question how CO2 emission ,oil price and stock market are connected has been studied by the literature extensively in past decades,

                from studies focusing on causality effects, commovments, spillovers, connectedness, and systemic risk,researchers primary try to answer the question using methods measuring the aggregate methods.

                This paper examines the dynamic links between CO2 emission, oil price and stock market in a time-varying fashion. We measure the volatility of the future prices of CO2 EU Allowance (EUA) and aim to analyse the its relation to the oil price and equity market. There is abundant research showing the significant relation between the movement of the EUA price and energy price. In this paper, we innovatively propose to investigate such relation in a dynamic behaviour using time-varying conditional correlation i.e. Dynamic conditional correlation (DCC) and cointegration. Time-varying correlation provides the early evidence of the interrelationship across the three variables. With the examination of the total index volatility intensity(connectedness spillover, Diebold and Yilmaz 2012), we are able to quantify the amount of contagion.Furthermore, the quantile copula causality helps to identify the directions as robustness test in further toD&Y method.

                报告人简介:

                肖玲博士, 伦敦大学皇家霍洛威学院(Royal Holloway, University of London) 金融财务管理副教授, 英国高等教育学院高级委员( Senior Fellowship of the UK Higher Education Academy),   红牛彩票英国校友会会长。