Assessing Time Varying Interconnectedness Between Clean Energy Market and Financial Stress in USA
Avik Sinha et al.
What the paper says
This study examined the time-varying relationship of the USA’s clean energy stock market under the financial stress scenarios. We have employed the empirical mode decomposition-wavelet windowed cross-correlation technique to gauge interconnectivity. According to our study, the USA investors would not hedge clean energy stocks over the long term during severe financial stress.
Evidence weight
0.50
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.