A novel green bond index prediction method based on professional network language sentiment dictionary
Bibliographic Data
| ID | 8022326 |
|---|---|
| Authors | Shudi Huang, Y H Xie (0000-0002-6031-3426), Yize Chen (0000-0003-4481-3858), Qiang Lin (0000-0002-3362-6152) |
| Year | 2025 |
| Volume | 10 |
| Pages | 101244-101244 |
| Publication date | 2025-09-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sustainable Futures (JOURNAL) |
| Journal identifiers | ISSN: 2666-1888 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.sftr.2025.101244 |
| OpenAlex | W4414164880 |
| Language | EN |
| References cited | 46 |
Energy Load and Power Forecasting · Market Dynamics and Volatility · Stock Market Forecasting Methods
Role of green finance in improving energy efficiency and renewable energy development
The role of major markets in predicting the U.S. municipal green bond market performance
Asymmetric effects of geopolitical risks and uncertainties on green bond markets
The influence of investor sentiment on the green bond market
The Validity of Sentiment Analysis
Lexicon-Based Methods for Sentiment Analysis
| Citation velocity | historical |
|---|---|
| Highly cited | No |