Central Bank Communications: information extraction and semantic analysis
In: Big Data
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References listed on IDEAS
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Citations
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Cited by:
- Fernandez, Raul & Palma Guizar, Brenda & Rho, Caterina, 2021.
"A sentiment-based risk indicator for the Mexican financial sector,"
Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
- Rho Caterina & Fernández Raúl & Palma Brenda, 2021. "A Sentiment-based Risk Indicator for the Mexican Financial Sector," Working Papers 2021-04, Banco de México.
- Alina Evstigneeva & Mark Sidorovskiy, 2021. "Assessment of Clarity of Bank of Russia Monetary Policy Communication by Neural Network Approach," Russian Journal of Money and Finance, Bank of Russia, vol. 80(3), pages 3-33, September.
- Omotosho, Babatunde S. & Tumala, Mohammed M., 2019. "A Text Mining Analysis of Central Bank Monetary Policy Communication in Nigeria," MPRA Paper 98850, University Library of Munich, Germany.
- Babatunde Samson Omotosho, 2020.
"Central Bank Communication In Ghana: Insights From A Text Mining Analysis,"
Noble International Journal of Economics and Financial Research, Noble Academic Publsiher, vol. 5(1), pages 01-13, January.
- Omotosho, Babatunde S., 2019. "Central Bank Communication in Ghana: Insights from a Text Mining Analysis," MPRA Paper 98297, University Library of Munich, Germany.
- Omotosho, Babatunde S., 2020. "Central Bank Communication during Economic Recessions: Evidence from Nigeria," MPRA Paper 99655, University Library of Munich, Germany.
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