IDEAS home Printed from https://ideas.repec.org/r/ccb/hbooks/33.html
   My bibliography  Save this item

Text mining for central banks

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
  2. Arango, Luis E. & Pantoja, Javier & Velásquez, Carlos, 2023. "A content analysis of the Central Bank's press releases in Colombia," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(3).
  3. Aaryan Gupta & Vinya Dengre & Hamza Abubakar Kheruwala & Manan Shah, 2020. "Comprehensive review of text-mining applications in finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-25, December.
  4. Paola Cerchiello & Giancarlo Nicola, 2017. "Assessing News Contagion in Finance," DEM Working Papers Series 139, University of Pavia, Department of Economics and Management.
  5. Paola Cerchiello & Giancarlo Nicola & Samuel Rönnqvist & Peter Sarlin, 2017. "Deep Learning Bank Distress from News and Numerical Financial Data," DEM Working Papers Series 140, University of Pavia, Department of Economics and Management.
  6. Nicolò Fraccaroli & Alessandro Giovannini & Jean-François Jamet & Eric Persson, 2023. "Central Banks in Parliaments: A Text Analysis of the Parliamentary Hearings of the Bank of England, the European Central Bank, and the Federal Reserve," International Journal of Central Banking, International Journal of Central Banking, vol. 19(2), pages 543-600, June.
  7. Amadxarif, Zahid & Brookes, James & Garbarino, Nicola & Patel, Rajan & Walczak, Eryk, 2019. "The language of rules: textual complexity in banking reforms," Bank of England working papers 834, Bank of England.
  8. 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).
  9. Luis Fernando Melo-Velandia & Juan J. Ospina-Tejeiro & Julian A. Parra-Polania, 2020. "Effects of Banco de la Republica’s Communication on the Yield Curve," Borradores de Economia 1137, Banco de la Republica de Colombia.
  10. Kryvtsov, Oleksiy & Petersen, Luba, 2021. "Central bank communication that works: Lessons from lab experiments," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 760-780.
  11. R. Erasmus & H. Hollander, 2020. "A Forward Guidance Indicator For The South African Reserve Bank: Implementing A Text Analysis Algorithm," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 44(3), pages 41-72, December.
  12. Vegard H�ghaug Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Papers No 6/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  13. Jochen Lüdering & Peter Tillmann, 2016. "Monetary Policy on Twitter and its Effect on Asset Prices: Evidence from Computational Text Analysis," MAGKS Papers on Economics 201612, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  14. Möller, Rouven & Reichmann, Doron, 2021. "ECB language and stock returns – A textual analysis of ECB press conferences," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 590-604.
  15. Flood, M. D. & Jagadish, H. V. & Raschid, L., 2016. "Big data challenges and opportunities in financial stability monitoring," Financial Stability Review, Banque de France, issue 20, pages 129-142, April.
  16. Fraccaroli, Nicolò & Giovannini, Alessandro & Jamet, Jean-François & Persson, Eric, 2022. "Ideology and monetary policy. The role of political parties’ stances in the European Central Bank’s parliamentary hearings," European Journal of Political Economy, Elsevier, vol. 74(C).
  17. Schmeling, Maik & Wagner, Christian, 2019. "Does Central Bank Tone Move Asset Prices?," CEPR Discussion Papers 13490, C.E.P.R. Discussion Papers.
  18. Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "News Media vs. FRED-MD for Macroeconomic Forecasting," CESifo Working Paper Series 8639, CESifo.
  19. Youngjoon Lee & Soohyon Kim & Ki Young Park, 2018. "Deciphering Monetary Policy Committee Minutes with Text Mining Approach: A Case of South Korea," Working papers 2018rwp-132, Yonsei University, Yonsei Economics Research Institute.
  20. Martin Baumgaertner & Johannes Zahner, 2021. "Whatever it takes to understand a central banker - Embedding their words using neural networks," MAGKS Papers on Economics 202130, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  21. Johannes Zahner, 2020. "Above, but close to two percent. Evidence on the ECB’s inflation target using text mining," MAGKS Papers on Economics 202046, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  22. Coyle, Diane & Muhtar, Adam, 2023. "Assessing policy co-ordination in government: Text and network analysis of the UK's economic strategies," European Journal of Political Economy, Elsevier, vol. 79(C).
  23. Pongsak Luangaram & Warapong Wongwachara, 2017. "More Than Words: A Textual Analysis of Monetary Policy Communication," PIER Discussion Papers 54, Puey Ungphakorn Institute for Economic Research.
  24. Kawamura, Kohei & Kobashi, Yohei & Shizume, Masato & Ueda, Kozo, 2019. "Strategic central bank communication: Discourse analysis of the Bank of Japan’s Monthly Report," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 230-250.
  25. Philip ME Garboden, 2019. "Sources and Types of Big Data for Macroeconomic Forecasting," Working Papers 2019-3, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
  26. Schonhardt-Bailey, Cheryl & Dann, Christopher & Chapman, Jacob, 2022. "The accountability gap: deliberation on monetary policy in Britain and America during the financial crisis," LSE Research Online Documents on Economics 114364, London School of Economics and Political Science, LSE Library.
  27. Arnold Segawa, 2021. "Sentimental Outlook for the Monetary Policies of South African Reserve Bank," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 10(3), pages 37-56, July.
  28. Nuccio Ludovico & Marc Esteve Del Valle & Franco Ruzzenenti, 2020. "Mapping the Dutch Energy Transition Hyperlink Network," Sustainability, MDPI, vol. 12(18), pages 1-24, September.
  29. Emma Terämä & Melanie Smallman & Simon J Lock & Charlotte Johnson & Martin Zaltz Austwick, 2016. "Beyond Academia – Interrogating Research Impact in the Research Excellence Framework," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-18, December.
  30. Leif Anders Thorsrud, 2016. "Nowcasting using news topics Big Data versus big bank," Working Papers No 6/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  31. Antón Sarabia Arturo & Bazdresch Santiago & Lelo-de-Larrea Alejandra, 2023. "The Influence of Central Bank's Projections and Economic Narrative on Professional Forecasters' Expectations: Evidence from Mexico," Working Papers 2023-21, Banco de México.
  32. Kumar, Rahul & Deb, Soumya Guha & Mukherjee, Shubhadeep, 2020. "Do words reveal the latent truth? Identifying communication patterns of corporate losers," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
  33. Martin Feldkircher & Paul Hofmarcher & Pierre L. Siklos, 2021. "What do central banks talk about? A European perspective on central bank communication," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q2/21, pages 61-81.
  34. Saskia Ter Ellen & Vegard H. Larsen & Leif Anders Thorsrud, 2022. "Narrative Monetary Policy Surprises and the Media," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(5), pages 1525-1549, August.
  35. Sturm, Silke, 2019. "Political Competition: How to Measure Party Strategy in Direct Voter Communication using Social Media Data?," Hamburg Discussion Papers in International Economics 1, University of Hamburg, Department of Economics.
  36. Miguel Acosta, 2015. "FOMC Responses to Calls for Transparency," Finance and Economics Discussion Series 2015-60, Board of Governors of the Federal Reserve System (U.S.).
  37. Fraccaroli, Nicolò & Giovannini, Alessandro & Jamet, Jean-Francois & Persson, Eric, 2022. "Ideology and monetary policy: the role of political parties’ stances in the ECB’s parliamentary hearings," Working Paper Series 2655, European Central Bank.
  38. Bholat, David & Brookes, James & Cai, Chris & Grundy, Katy & Lund, Jakob, 2017. "Sending firm messages: text mining letters from PRA supervisors to banks and building societies they regulate," Bank of England working papers 688, Bank of England.
  39. Antoine Bouveret, 2018. "Cyber Risk for the Financial Sector: A Framework for Quantitative Assessment," IMF Working Papers 2018/143, International Monetary Fund.
  40. María del Pilar Cruz & Hugo Peralta & Bruno Ávila, 2020. "Análisis de Sentimiento Basado en el Informe de Percepciones de Negocios del Banco Central de Chile," Working Papers Central Bank of Chile 862, Central Bank of Chile.
  41. Armando Marozzi, 2021. "The ECB and the Cost of Independence. Unearthing a New Doom-Loop in the European Monetary Union," BAFFI CAREFIN Working Papers 21152, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
  42. Giacomo Caterini, 2020. "La comunicazione della Banca Centrale dei Caraibi Orientali: un?analisi testuale (On the communication of the Eastern Caribbeans Central Bank: A textual analysis)," Moneta e Credito, Economia civile, vol. 73(289), pages 57-82.
  43. Lüdering, Jochen & Tillmann, Peter, 2020. "Monetary policy on twitter and asset prices: Evidence from computational text analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
  44. Anesti, Nikoleta & Kalamara, Eleni & Kapetanios, George, 2021. "Forecasting UK GDP growth with large survey panels," Bank of England working papers 923, Bank of England.
  45. Nicholas Apergis & Ioannis Pragidis, 2019. "Stock Price Reactions to Wire News from the European Central Bank: Evidence from Changes in the Sentiment Tone and International Market Indexes," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(1), pages 91-112, February.
  46. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
  47. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
  48. Nuccio Ludovico & Federica Dessi & Marino Bonaiuto, 2020. "Stakeholders Mapping for Sustainable Biofuels: An Innovative Procedure Based on Computational Text Analysis and Social Network Analysis," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
  49. Stefan Angrick & Naoyuki Yoshino, 2020. "From Window Guidance to Interbank Rates: Tracing the Transition of Monetary Policy in Japan and China," International Journal of Central Banking, International Journal of Central Banking, vol. 16(3), pages 279-316, June.
  50. Korhonen, Iikka & Newby, Elisa, 2019. "Mastering Central Bank Communication Challenges via Twitter," BoF Economics Review 7/2019, Bank of Finland.
  51. Bohl, Martin T. & Kanelis, Dimitrios & Siklos, Pierre L., 2023. "Central bank mandates: How differences can influence the content and tone of central bank communication," Journal of International Money and Finance, Elsevier, vol. 130(C).
  52. Ashok Banerjee & Ayush Kanodia & Partha Ray, 2021. "Deciphering Indian inflationary expectations through text mining: an exploratory approach," Indian Economic Review, Springer, vol. 56(1), pages 49-66, June.
  53. Daniela V. Guío-Martínez & Juan J. Ospina-Tejeiro & Germán A. Muñoz-Bravo & Julián A. Parra-Polanía, 2020. "Descripción de las Minutas e Informes de Política Monetaria a partir de herramientas de Lingüística Computacional," Borradores de Economia 1108, Banco de la Republica de Colombia.
  54. repec:zbw:bofitp:2018_004 is not listed on IDEAS
  55. Leonardo N. Ferreira, 2021. "Forecasting with VAR-teXt and DFM-teXt Models:exploring the predictive power of central bank communication," Working Papers Series 559, Central Bank of Brazil, Research Department.
  56. Baumgärtner, Martin & Zahner, Johannes, 2023. "Whatever it takes to understand a central banker: Embedding their words using neural networks," IMFS Working Paper Series 194, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
  57. Andres Algaba & David Ardia & Keven Bluteau & Samuel Borms & Kris Boudt, 2020. "Econometrics Meets Sentiment: An Overview Of Methodology And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 512-547, July.
  58. Luis E. Arango & Javier Pantoja & Carlos Velásquez, 2017. "Effects of the central bank’s communications in Colombia. A content analysis," Borradores de Economia 1024, Banco de la Republica de Colombia.
  59. Diane Coyle & Adam Muhtar, 2022. "You’re not speaking my language - policy discontinuity and coordination gaps between the UK’s national economic strategies and its place-based policies," Working Papers 019, The Productivity Institute.
  60. Paola Cerchiello & Giancarlo Nicola, 2018. "Assessing News Contagion in Finance," Econometrics, MDPI, vol. 6(1), pages 1-19, February.
  61. Piotr Szczerba & Anna Wojtyniak & Joanna Niedźwiedzińska & Wojciech Bogdanowicz, 2024. "Monetary Policy Press Releases of 24 Inflation Targeting Central Banks – A Comparison of their Key Features and Complexity," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 13(1), pages 223-243.
  62. Johnson, Juliet & Arel-Bundock, Vincent & Portniaguine, Vladislav, 2018. "Adding rooms onto a house we love: Central banking after the Global Financial Crisis," SocArXiv bms5n, Center for Open Science.
  63. Stefan Angrick & Naoyuki Yoshino, 2020. "From Window Guidance to Interbank Rates: Tracing the Transition of Monetary Policy in Japan and China," International Journal of Central Banking, International Journal of Central Banking, vol. 16(3), pages 279-316, June.
  64. Dmytro Krukovets, 2020. "Data Science Opportunities at Central Banks: Overview," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 249, pages 13-24.
  65. Ángel Iván Moreno & Teresa Caminero, 2020. "Application of text mining to the analysis of climate-related disclosures," Working Papers 2035, Banco de España.
  66. Moreno, Angel-Ivan & Caminero, Teresa, 2022. "Application of text mining to the analysis of climate-related disclosures," International Review of Financial Analysis, Elsevier, vol. 83(C).
  67. Firrell, Alastair & Reinold, Kate, 2020. "Uncertainty and voting on the Bank of England’s Monetary Policy Committee," Bank of England working papers 898, Bank of England.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.