Investor attention and carbon return
Evidence from the EU-ETS
Bibliographic Data
| ID | 15066784 |
|---|---|
| Authors | Yinpeng Zhang (0000-0003-2826-6049, Shenzhen University), Ying Chen (0000-0002-4780-4642, Shenzhen University), You Wu (0000-0001-9672-6129, Beijing Technology and Business University, corresponding author), Panpan Zhu (0000-0003-3877-766X, Beijing Technology and Business University) |
| Year | 2022 |
| Volume | 35 |
| Issue | 1 |
| Pages | 709-727 |
| Publication date | 2022-12-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Economic Research-Ekonomska Istraživanja (JOURNAL) |
| Journal identifiers | ISSN: 1331-677X • E-ISSN: 1848-9664 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1331677x.2021.1931914 |
| OpenAlex | W3174982485 |
| Language | EN |
| Citations received | 4 |
| References cited | 44 |
This paper firstly puts forward to employ investor attention obtained from Google trends to explain and forecast carbon futures return in the European Union-Emission Trading Scheme (EU-ETS). Our empirical results show that investor attention is a granger cause to changes in carbon return. Furthermore, investor attention generates both linear and non-linear effects on carbon return. The results demonstrate that investor attention shows excellent explanatory power on carbon return. Moreover, we conduct several out-of-sample forecasts to explore the predictive power of investor attention. The results indicate that incorporating investor attention indeed improve the accuracy of out-of-sample forecasts both in short and long horizons and can generate significant economic values. All results demonstrate that investor attention is a non-negligible pricing factor in carbon market
Behavioral economics · Carbon market · Econometrics · Economics · Emissions trading · Empirical evidence · Explanatory power · Financial economics · Futures contract · Greenhouse gas · Investor profile · Predictive power · Climate Change Policy and Economics · Energy, Environment, Economic Growth · Market Dynamics and Volatility · Finance
| Citations per year | 1.33 |
|---|---|
| Citation span | 2023 - 2025 (3) |
| Highly cited | No |