The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Climate policy uncertainty and world renewable energy index volatility forecasting
Overview
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Citations
Cites
Predicting excess stock returns out of sample: Can anything beat the historical average?
Campbell, J. Y., & Thompson, S. B. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhm055 · Cited by 2,919
(2011) · Econometrica · doi:10.3982/ecta5771 · Cited by 2,096
Stock Market Volatility and Macroeconomic Fundamentals
Engle, R. F., Ghysels, E., & Sohn, B. (2013) · Review of Economics and Statistics · doi:10.1162/rest_a_00300 · Cited by 1,117
MIDAS Regressions: Further Results and New Directions
Ghysels, E., Sinko, A., & Valkanov, R. (2007) · Econometric Reviews · doi:10.1080/07474930600972467 · Cited by 1,001
The Spline-GARCH Model for Low-Frequency Volatility and Its Global Macroeconomic Causes
Engle, R. F., & Rangel, J. G. (2008) · Review of Financial Studies · doi:10.1093/rfs/hhn004 · Cited by 878
Quantifying the impacts of climate change and extreme climate events on energy systems
Perera, A. T. D., Nik, V. M., Chen, D., Scartezzini, J.-L., & Hong, T. (2020) · Nature Energy · doi:10.1038/s41560-020-0558-0 · Cited by 808
Climate change impacts on renewable energy supply
Gernaat, D. E. H. J., de Boer, H. S., Daioglou, V., Yalew, S. G., Müller, C., & van Vuuren, D. P. (2021) · Nature Climate Change · doi:10.1038/s41558-020-00949-9 · Cited by 633
Real effects of climate policy: Financial constraints and spillovers
Bartram, S. M., Hou, K., & Kim, S. (2022) · Journal of Financial Economics · doi:10.1016/j.jfineco.2021.06.015 · Cited by 616
Impact of declining renewable energy costs on electrification in low-emission scenarios
Luderer, G., Madeddu, S., Merfort, L., Ueckerdt, F., Pehl, M., Pietzcker, R., Rottoli, M., Schreyer, F., Bauer, N., Baumstark, L., et al. (2021) · Nature Energy · doi:10.1038/s41560-021-00937-z · Cited by 565
Auffhammer, M., Baylis, P., & Hausman, C. H. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1613193114 · Cited by 475
Cited by
Effects of climate policy uncertainty on green innovation in Chinese enterprises
Sun, G., Fang, J., Li, T., & Ai, Y. (2024) · International Review of Financial Analysis · doi:10.1016/j.irfa.2023.102960 · Cited by 259
Li, Y., & Tian, C. (2023) · Environmental Science and Pollution Research · doi:10.1007/s11356-023-31267-0 · Cited by 4
Retracted
Metadata
- Authors
- Liang, C., Umar, M., Ma, F., & Huynh, T. L. D.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 182
- Pages
- 121810
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W4283077063
- Cited by
- 371
- References
- 39
- FWCI
- 63.60
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
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- This page
- CoChat. (2026). Citation check: Climate policy uncertainty and world renewable energy index volatility forecasting. https://app.cochat.ai/papers/10.1016/j.techfore.2022.121810
- The paper
- Liang, C., Umar, M., Ma, F., & Huynh, T. L. D. (2022). Climate policy uncertainty and world renewable energy index volatility forecasting. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2022.121810
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
