From headlines to pipelines: Unpacking the impact of the Russia-Ukraine conflict through sentiment and topics
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DOI: 10.1016/j.frl.2025.107136
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- Cindy K Soo, 2018. "Quantifying Sentiment with News Media across Local Housing Markets," The Review of Financial Studies, Society for Financial Studies, vol. 31(10), pages 3689-3719.
- Boungou, Whelsy & Yatié, Alhonita, 2022.
"The impact of the Ukraine–Russia war on world stock market returns,"
Economics Letters, Elsevier, vol. 215(C).
- Whelsy BOUNGOU & Alhonita YATIE, 2022. "The impact of the Ukraine-Russia war on world stock market returns," Bordeaux Economics Working Papers 2022-06, Bordeaux School of Economics (BSE).
- Whelsy Boungou & Alhonita Yatie, 2022. "The impact of the Ukraine-Russia war on world stock market returns," Working Papers hal-03623580, HAL.
- Whelsy Boungou & Alhonita Yatié, 2022. "The impact of the Ukraine–Russia war on world stock market returns," Post-Print hal-03675532, HAL.
- Whelsy Boungou & Alhonita Yatie, 2022. "The impact of the Ukraine-Russia war on world stock market returns," Working Papers hal-03624985, HAL.
- Whelsy Boungou & Alhonita Yatié, 2022. "The impact of the Ukraine-Russia war on world stock market returns," Working Papers hal-03610963, HAL.
- Christopher J. Neely, 2022.
"Financial Market Reactions to the Russian Invasion of Ukraine,"
Review, Federal Reserve Bank of St. Louis, vol. 104(4), pages 266-296, October.
- Christopher J. Neely, 2022. "Financial market reactions to the Russian invasion of Ukraine," Working Papers 2022-032, Federal Reserve Bank of St. Louis.
- Malcolm Baker & Jeffrey Wurgler, 2006.
"Investor Sentiment and the Cross‐Section of Stock Returns,"
Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
- Malcolm Baker & Jeffrey Wurgler, 2004. "Investor Sentiment and the Cross-Section of Stock Returns," NBER Working Papers 10449, National Bureau of Economic Research, Inc.
- Qadan, Mahmoud & Nama, Hazar, 2018. "Investor sentiment and the price of oil," Energy Economics, Elsevier, vol. 69(C), pages 42-58.
- Ahn, Yongkil & Kim, Dongyeon, 2021. "Emotional trading in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 42(C).
- Biktimirov, Ernest N. & Sokolyk, Tatyana & Ayanso, Anteneh, 2024. "What is behind housing sentiment?," Finance Research Letters, Elsevier, vol. 60(C).
- Koenker,Roger, 2005.
"Quantile Regression,"
Cambridge Books,
Cambridge University Press, number 9780521845731, Enero-Abr.
- Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521608275, September.
- Biktimirov, Ernest N. & Biktimirova, Liana E., 2023. "All topics are not created equal: Sentiment and hype of business media topics and the bitcoin market," Economics Letters, Elsevier, vol. 231(C).
- Biktimirov, Ernest N. & Sokolyk, Tatyana & Ayanso, Anteneh, 2024. "Unpacking the relation between media sentiment and house prices: A topic modeling approach," Journal of Housing Economics, Elsevier, vol. 66(C).
- Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
- Nerlinger, Martin & Utz, Sebastian, 2022. "The impact of the Russia-Ukraine conflict on energy firms: A capital market perspective," Finance Research Letters, Elsevier, vol. 50(C).
- Biktimirov, Ernest N. & Sokolyk, Tatyana & Ayanso, Anteneh, 2021. "Sentiment and hype of business media topics and stock market returns during the COVID-19 pandemic," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
- Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
- Chancharat, Surachai & Sinlapates, Parichat, 2023. "Dependences and dynamic spillovers across the crude oil and stock markets throughout the COVID-19 pandemic and Russia-Ukraine conflict: Evidence from the ASEAN+6," Finance Research Letters, Elsevier, vol. 57(C).
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Keywords
; ; ; ; ; ;JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
- Q34 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Natural Resources and Domestic and International Conflicts
- F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
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