The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Oil price shocks, geopolitical risks, and green bond market dynamics
Abstract
Abstract This research explores the causal relation among oil price, geopolitical risks, and green bond index in the United States from December 2013 to January 2019. Unlike the conventional linear model specification used in earlier works, we evaluate causal relations based on Granger-causality in quantile analysis. Our empirical results reveal unidirectional Granger-causality from geopolitical risk to oil price at the extreme quantiles. We also observe a significant bi-directional causality from oil price to green bond index for the lower quantiles. Findings also reveal causality from geopolitical risk to green bond index in the lower quantiles of the distribution. Therefore, knowledge of these causal relationships can help policy makers to evaluate and implement effective policies to prevent sudden and substantial oil price shocks and geopolitical risk.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
Testing the null hypothesis of stationarity against the alternative of a unit root
Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992) · Journal of Econometrics · doi:10.1016/0304-4076(92)90104-y · Cited by 12,633
Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models
Johansen, S. (1991) · Econometrica · doi:10.2307/2938278 · Cited by 11,116
Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis
Zivot, E., & Andrews, D. W. K. (2002) · Journal of Business & Economic Statistics · doi:10.1198/073500102753410372 · Cited by 5,737
Efficient Tests for an Autoregressive Unit Root
Elliott, G., Rothenberg, T. J., & Stock, J. H. (1996) · Econometrica · doi:10.2307/2171846 · Cited by 5,627
Likelihood-Based Inference in Cointegrated Vector Autoregressive Models
Johansen, S. (1995) · doi:10.1093/0198774508.001.0001 · Cited by 5,315
Efficient Tests for an Autoregressive Unit Root
Elliott, G., Rothenberg, T., & Stock, J. (1992) · National Bureau of Economic Research · doi:10.3386/t0130 · Cited by 4,231
LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power
Ng, S., & Perron, P. (2001) · Econometrica · doi:10.1111/1468-0262.00256 · Cited by 3,940
Oil and the Macroeconomy since World War II
Hamilton, J. D. (1983) · Journal of Political Economy · doi:10.1086/261140 · Cited by 3,786
Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis
Zivot, E., & Andrews, D. W. K. (1992) · Journal of Business & Economic Statistics · doi:10.1080/07350015.1992.10509904 · Cited by 3,250
Metadata
- Authors
- Lee, C.-C., Lee, C.-C., & Li, Y.-Y.
- Venue
- The North American Journal of Economics and Finance
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 55
- Pages
- 101309
- ISSN
- 1062-9408 (ISSN-L)
- OpenAlex
- W3096631788
- Cited by
- 341
- References
- 72
- FWCI
- 38.46
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Oil price shocks, geopolitical risks, and green bond market dynamics. https://app.cochat.ai/papers/10.1016/j.najef.2020.101309
- The paper
- Lee, C.-C., Lee, C.-C., & Li, Y.-Y. (2021). Oil price shocks, geopolitical risks, and green bond market dynamics. The North American Journal of Economics and Finance. https://doi.org/10.1016/j.najef.2020.101309
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.
