The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Dynamic connectedness among climate change index, green financial assets and renewable energy markets: Novel evidence from sustainable development perspective
Abstract
This paper investigates the connectedness among the climate change index, green financial assets, renewable energy markets, and geopolitical risk index from from June 1, 2012 to June 13, 2022, using Quantile Vector Autoregressive (QVAR) and wavelet coherence (WC). The Total connectedness index (TCI) varies as long as the highest TCI originates in the upper quantile. We also note that the higher TCI decreases after the second wave of COVID-19 and increases during the first 100 days of the Russia-Ukraine conflict. Moreover, the results show that Geopolitical risk (GPR) is a net transmitter of the climate change index during the Russian invasion of Ukraine. The green bond and clean energy markets are negatively connected to the GPR at extreme 10 th and 90 th quantiles. The wavelet coherence confirms the QVAR results that the climate change market can be a safe haven against GPR during the Russian invasion. The climate change index, green financial assets, and clean energy are strong influencers in the financial markets and are vital to international peace, reducing geopolitical risk. The study reports a few novel conclusions and implications from a sustainable development perspective.
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Cites
A Practical Guide to Wavelet Analysis
Torrence, C., & Compo, G. P. (1998) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2 · Cited by 14,890
On the network topology of variance decompositions: Measuring the connectedness of financial firms
Diebold, F. X., & Yılmaz, K. (2014) · Journal of Econometrics · doi:10.1016/j.jeconom.2014.04.012 · Cited by 4,642
Caldara, D., & Iacoviello, M. (2022) · American Economic Review · doi:10.1257/aer.20191823 · Cited by 3,707
Uncertainty about Government Policy and Stock Prices
PÁSTOR, L., & VERONESI, P. (2012) · The Journal of Finance · doi:10.1111/j.1540-6261.2012.01746.x · Cited by 2,313
Oil prices, US stock return, and the dependence between their quantiles
Sim, N., & Zhou, H. (2015) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2015.01.013 · Cited by 1,414
Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks
Ando, T., Greenwood-Nimmo, M., & Shin, Y. (2022) · Management Science · doi:10.1287/mnsc.2021.3984 · Cited by 822
Public spending and green economic growth in BRI region: Mediating role of green finance
Zhang, D., Mohsin, M., Rasheed, A. K., Chang, Y., & Taghizadeh-Hesary, F. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112256 · Cited by 781
Renewable energy and geopolitics: A review
Vakulchuk, R., Overland, I., & Scholten, D. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2019.109547 · Cited by 653
Caldara, D., & Iacoviello, M. (2018) · International Finance Discussion Papers · doi:10.17016/ifdp.2018.1222 · Cited by 595
The carbon footprint of bitcoin
Stoll, C., Klaaßen, L., & Gallersdörfer, U. (2019) · Joule · doi:10.1016/j.joule.2019.05.012 · Cited by 545
Metadata
- Authors
- Lorente, D. B., Mohammed, K. S., Cifuentes-Faura, J., & Shahzad, U.
- Venue
- Renewable Energy
- Publisher
- Elsevier BV
- Published
- 2023-03
- Volume
- 204
- Pages
- 94-105
- ISSN
- 0960-1481 (ISSN-L)
- OpenAlex
- W4313197968
- Cited by
- 258
- References
- 66
- FWCI
- 43.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lorente, D. B., Mohammed, K. S., Cifuentes-Faura, J., & Shahzad, U. (2023). Dynamic connectedness among climate change index, green financial assets and renewable energy markets: Novel evidence from sustainable development perspective. Renewable Energy. https://doi.org/10.1016/j.renene.2022.12.085
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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