Project description
The effects of energy and stock markets on the carbon market
The EU Emissions Trading System (ETS), the world’s first international emissions trading system, is an essential part of the EU’s aim to combat climate change. Financial and energy markets drive the prices of the future carbon market. Shocks affect European Union Allowance pricing – climate credits or carbon credits used in the ETS. The Marie Skłodowska-Curie Actions ECS project will study the cause-and-effect relationships, price spillovers and dependencies in carbon, energy and stock markets from 2005 to 2021. It will establish whether there are any correlations or volatility spillover effects between these markets and will show what impact the energy and financial markets have on the carbon market.
Objective
The EU is now on course to accomplish its 2020 climate and energy targets, and has finalized the regulatory framework required to attain its 2030 and 2050 emissions reduction goals. The EU Emission Trading System (ETS) was established in 2005 with the objective of limiting global warming and maintaining a balance between economic development and environmental protection. Financial and energy markets are the main driving forces of the prices of the carbon future market. It's also conceivable that shocks to driving forces have an impact on EUA pricing. As far now, price formation in the ETS, the consequences of structural changes on market linkages, and co-movement between the markets across different trading phases of EU ETS remain widely unexplored. Hence, the goal of this study is to explore the dynamic causal relationship, price spillovers, and dependencies among carbon-energy-stock markets during 2005-2021. To achieve this objective, it is essential to investigate the stationarity and structural breaks of variables by ADF, PP, KPSS, and ZA tests. To design a network causal relationship, directed acyclic graphs (DAG) as an alternative data-based approach will be used to modeling and analyzing contemporaneous causality patterns. Then, a Time-Varying Parameter VAR model (TVP-VAR) will be applied to discuss the volatility spillover effects. For multi-dimensional analysis, Vine Copulas, including R-Vine, C-Vine, and D-Vine models will be applied. The EUA daily future price from, stock market indices (DAX, FTSE100, CAC40, FTSE MIB, IBEX35, Euro stoxx50, respectively), and energy prices for Brent oil and gas will be utilized for a sample period (2005-2021). Novel outcomes from the study could be explored for three phases of the EU ETS. The study determines whether there are any relationships or volatility spillover effects among the markets. Dependency analysis will quantify the correlations and reveal the impact of energy and financial markets on the carbon market.
Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
20123 Milano
Italy