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title = "{Robust benchmarking in noisy environments}",
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journal = {arXiv e-prints},
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year = 2016,
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month = "Aug",
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doi = {10.48550/arXiv.1608.04295},
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archivePrefix ={arXiv},
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url = {https://arxiv.org/abs/1608.04295}
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}
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@article{R:LongMemoryTS,
@@ -67,7 +61,7 @@ @article{R:LongMemoryTS
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doi = {10.32614/CRAN.package.LongMemoryTS}
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}
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@article{VERAVALDES2024c,
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@article{VERAVALDES2025,
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title = {Effects of the Paris Agreement and the COVID-19 Pandemic on Volatility Persistence of Stocks Associated with the Climate Crisis: A Multiverse Analysis},
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@@ -87,8 +87,8 @@ The package has been used in the following research:
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- Vera-Valdés, J. Eduardo, and Olivia Kvist. 2024. “Breaching 1.5°C: Give Me the Odds.” arXiv, December. https://doi.org/10.48550/arXiv.2412.13855. [@vera-valdés2024]
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- Vera-Valdés, J.E., and Kvist, O. (2025). “Effects of the Paris Agreement and the COVID-19 Pandemic on Volatility Persistence of Stocks Associated with the Climate Crisis: A Multiverse Analysis.” Forthcoming in Advances in Econometrics. https://everval.github.io/publications/FinancialVolatilityAfterPA.html[@VERAVALDES2024c]
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- Vera-Valdés, J.E., and Kvist, O. (2025). “Effects of the Paris Agreement and the COVID-19 Pandemic on Volatility Persistence of Stocks Associated with the Climate Crisis: A Multiverse Analysis.” Forthcoming in Advances in Econometrics. https://everval.github.io/publications/FinancialVolatilityAfterPA.html[@VERAVALDES2025]
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Furthermore, see the accompanying examples of the package in use at the [package's website](https://everval.github.io/files/LM_notebook_illustration.html).
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Furthermore, see the accompanying examples of the package in use at the [author's website](https://everval.github.io/files/LM_notebook_illustration.html).
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