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Pedro M. Santos

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Personal Details

First Name:Pedro
Middle Name:M.
Last Name:Santos
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RePEc Short-ID:psa1462
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Affiliation

Bank of England

London, United Kingdom
http://www.bankofengland.co.uk/
RePEc:edi:boegvuk (more details at EDIRC)

Research output

as
Jump to: Articles Books

Articles


    RePEc:cml:boletn:v:62:y:2016:i:3:p:251-243 is not listed on IDEAS

Books

  1. David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015. "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

    Sorry, no citations of articles recorded.

Books

  1. David Bholat & Stephen Hans & Pedro Santos & Cheryl Schonhardt-Bailey, 2015. "Text mining for central banks," Handbooks, Centre for Central Banking Studies, Bank of England, number 33, April.

    Cited by:

    1. 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).
    2. 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.
    3. 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.
    4. Rho Caterina & Fernández Raúl & Palma Brenda, 2021. "A Sentiment-based Risk Indicator for the Mexican Financial Sector," Working Papers 2021-04, Banco de México.
    5. 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.
    6. 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.
    7. 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).
    8. 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).
    9. Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "News media vs. FRED-MD for macroeconomic forecasting," Working Papers No 08/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    10. 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).
    11. 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.
    12. Leif Anders Thorsrud, 2016. "Nowcasting using news topics. Big Data versus big bank," Working Paper 2016/20, Norges Bank.
    13. 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.
    14. 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.
    15. 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.
    16. Antoine Bouveret, 2018. "Cyber Risk for the Financial Sector: A Framework for Quantitative Assessment," IMF Working Papers 2018/143, International Monetary Fund.
    17. Zahner, Johannes & Baumgärtner, Martin, 2022. "Whatever it Takes to Understand a Central Banker – Embedding their Words Using Neural Networks," VfS Annual Conference 2022 (Basel): Big Data in Economics 264019, Verein für Socialpolitik / German Economic Association.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. Korhonen, Iikka & Newby, Elisa, 2019. "Mastering Central Bank Communication Challenges via Twitter," BoF Economics Review 7/2019, Bank of Finland.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Paola Cerchiello & Giancarlo Nicola, 2018. "Assessing News Contagion in Finance," Econometrics, MDPI, vol. 6(1), pages 1-19, February.
    28. 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.
    29. 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.
    30. Ángel Iván Moreno & Teresa Caminero, 2020. "Application of text mining to the analysis of climate-related disclosures," Working Papers 2035, Banco de España.
    31. 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).
    32. 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.
    33. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    34. Paola Cerchiello & Giancarlo Nicola, 2017. "Assessing News Contagion in Finance," DEM Working Papers Series 139, University of Pavia, Department of Economics and Management.
    35. 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.
    36. Fraccaroli, Nicolò & Giovannini, Alessandro & Jamet, Jean-Francois, 2020. "Central banks in parliaments: a text analysis of the parliamentary hearings of the Bank of England, the European Central Bank and the Federal Reserve," Working Paper Series 2442, European Central Bank.
    37. Oleksiy Kryvtsov & Luba Petersen, 2019. "Central Bank Communication That Works: Lessons from Lab Experiments," Staff Working Papers 19-21, Bank of Canada.
    38. 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.
    39. 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.
    40. Schmeling, Maik & Wagner, Christian, 2019. "Does Central Bank Tone Move Asset Prices?," CEPR Discussion Papers 13490, C.E.P.R. Discussion Papers.
    41. 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.
    42. 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).
    43. 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.
    44. Kurowski, Łukasz & Smaga, Paweł, 2023. "Analysing financial stability reports as crisis predictors with the use of text-mining," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    45. 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.
    46. 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.
    47. 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.
    48. 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.
    49. 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.
    50. 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.
    51. 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).
    52. 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.
    53. 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.).
    54. 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.
    55. 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.
    56. 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).
    57. Anesti, Nikoleta & Kalamara, Eleni & Kapetanios, George, 2021. "Forecasting UK GDP growth with large survey panels," Bank of England working papers 923, Bank of England.
    58. 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.
    59. Samuel Ronnqvist & Peter Sarlin, 2016. "Bank distress in the news: Describing events through deep learning," Papers 1603.05670, arXiv.org, revised Dec 2016.
    60. 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).
    61. 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.
    62. 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.
    63. 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).
    64. 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.
    65. 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.

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