Learning risk culture of banks using news analytics
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DOI: 10.1016/j.ejor.2019.02.045
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- Samuel Ronnqvist & Peter Sarlin, 2015. "Detect & Describe: Deep learning of bank stress in the news," Papers 1507.07870, arXiv.org.
- Roxana Mihet, 2013.
"Effects of culture on firm risk-taking: a cross-country and cross-industry analysis,"
Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(1), pages 109-151, February.
- Miss Roxana Mihet, 2012. "Effects of Culture on Firm Risk-Taking: A Cross-Country and Cross-Industry Analysis," IMF Working Papers 2012/210, International Monetary Fund.
- Chatrath, Arjun & Miao, Hong & Ramchander, Sanjay & Villupuram, Sriram, 2014. "Currency jumps, cojumps and the role of macro news," Journal of International Money and Finance, Elsevier, vol. 40(C), pages 42-62.
- Gabriele Ranco & Ilaria Bordino & Giacomo Bormetti & Guido Caldarelli & Fabrizio Lillo & Michele Treccani, 2016. "Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-14, January.
- Chernobai, Anna & Jorion, Philippe & Yu, Fan, 2011. "The Determinants of Operational Risk in U.S. Financial Institutions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(6), pages 1683-1725, December.
- Edward H. Bowman, 1984. "Content Analysis of Annual Reports for Corporate Strategy and Risk," Interfaces, INFORMS, vol. 14(1), pages 61-71, February.
- Sung C. Bae & Kiyoung Chang & Eun Kang, 2012. "Culture, Corporate Governance, And Dividend Policy: International Evidence," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 35(2), pages 289-316, June.
- Tim Loughran & Bill McDonald, 2014. "Regulation and financial disclosure: The impact of plain English," Journal of Regulatory Economics, Springer, vol. 45(1), pages 94-113, February.
- Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
- Power, Michael & Ashby, Simon & Palermo, Tommaso, 2013. "Risk culture in financial organisations: a research report," LSE Research Online Documents on Economics 67978, London School of Economics and Political Science, LSE Library.
- Bodnaruk, Andriy & Loughran, Tim & McDonald, Bill, 2015. "Using 10-K Text to Gauge Financial Constraints," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(4), pages 623-646, August.
- 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.
- Feng Li, 2010. "The Information Content of Forward‐Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach," Journal of Accounting Research, Wiley Blackwell, vol. 48(5), pages 1049-1102, December.
- Ying Zhang & Peggy E. Swanson & Wikrom Prombutr, 2012. "Measuring Effects On Stock Returns Of Sentiment Indexes Created From Stock Message Boards," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 35(1), pages 79-114, March.
- Tsai, Ming-Feng & Wang, Chuan-Ju, 2017. "On the risk prediction and analysis of soft information in finance reports," European Journal of Operational Research, Elsevier, vol. 257(1), pages 243-250.
- Balakrishnan, Ramji & Qiu, Xin Ying & Srinivasan, Padmini, 2010. "On the predictive ability of narrative disclosures in annual reports," European Journal of Operational Research, Elsevier, vol. 202(3), pages 789-801, May.
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Cited by:
- Dervis Kirikkaleli & Pelin Yaylali & Okan Veli Safakli, 2020. "The Perception and Culture of Operational Risk in the Banking Sector: Evidence From Northern Cyprus," SAGE Open, , vol. 10(4), pages 21582440209, October.
- Matteo Cinelli & Valerio Ficcadenti & Jessica Riccioni, 2021. "The interconnectedness of the economic content in the speeches of the US Presidents," Annals of Operations Research, Springer, vol. 299(1), pages 593-615, April.
- Beatriz Fernández-Muñiz & José Manuel Montes-Peón & Camilo José Vázquez-Ordás, 2022. "The influence of organizational climate, incentives and knowledge sharing on misconduct and risk-taking in banking," Risk Management, Palgrave Macmillan, vol. 24(1), pages 55-80, March.
- Ghafoori, Eraj & Mata, Fernanda & Lauren, Nita & Faulkner, Nick & Tear, Morgan J., 2023. "Measuring risk culture in finance: Development of a comprehensive measure," Journal of Banking & Finance, Elsevier, vol. 148(C).
- Stevenson, Matthew & Mues, Christophe & Bravo, Cristián, 2021. "The value of text for small business default prediction: A Deep Learning approach," European Journal of Operational Research, Elsevier, vol. 295(2), pages 758-771.
- Matteo Cinelli & Valerio Ficcadenti & Jessica Riccioni, 2020. "The interconnectedness of the economic content in the speeches of the US Presidents," Papers 2002.07880, arXiv.org.
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Keywords
Analytics; Banking; Financial crisis; Regulations; Risk governance;All these keywords.
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