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The language of rules: textual complexity in banking reforms

Author

Listed:
  • Amadxarif, Zahid

    (Bank of England)

  • Brookes, James

    (Bank of England)

  • Garbarino, Nicola

    (Bank of England)

  • Patel, Rajan

    (Bank of England)

  • Walczak, Eryk

    (Bank of England and University College London)

Abstract

The banking reforms that followed the financial crisis of 2007–08 led to an increase in UK banking regulation from almost 400,000 to over 720,000 words, and to concerns about their complexity. We define complexity in terms of the difficulty of processing linguistic units, both in isolation and within a broader context, and use natural language processing and network analysis to calculate complexity measures on a novel dataset that covers the near universe of prudential regulation for banks in the United Kingdom before (2007) and after (2017) the reforms. Linguistic, ie textual and network, complexity in banking regulation is concentrated in a relatively small number of provisions, and the post-crisis reforms have accentuated this feature. In particular, the comprehension of provisions within a tightly connected ‘core’ requires following long chains of cross-references.

Suggested Citation

  • 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.
  • Handle: RePEc:boe:boeewp:0834
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    References listed on IDEAS

    as
    1. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2016. "Pathways towards instability in financial networks," Papers 1602.05883, arXiv.org, revised Feb 2017.
    2. Reint Gropp & Thomas Mosk & Steven Ongena & Carlo Wix, 2019. "Banks Response to Higher Capital Requirements: Evidence from a Quasi-Natural Experiment," Review of Financial Studies, Society for Financial Studies, vol. 32(1), pages 266-299.
    3. Matthias M M Buehlmaier & Toni M Whited, 2018. "Are Financial Constraints Priced? Evidence from Textual Analysis," Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2693-2728.
    4. Matthew Gentzkow & Bryan T. Kelly & Matt Taddy, 2017. "Text as Data," NBER Working Papers 23276, National Bureau of Economic Research, Inc.
    5. Benjamin Born & Michael Ehrmann & Marcel Fratzscher, 2014. "Central Bank Communication on Financial Stability," Economic Journal, Royal Economic Society, vol. 124(577), pages 701-734, June.
    6. Hakenes, Hendrik & Schnabel, Isabel, 2013. "Regulatory Capture by Sophistication," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79991, Verein für Socialpolitik / German Economic Association.
    7. Gabriele Galati & Richhild Moessner, 2018. "What Do We Know About the Effects of Macroprudential Policy?," Economica, London School of Economics and Political Science, vol. 85(340), pages 735-770, October.
    8. 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.
    9. Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
    10. Gerard Hoberg & Gordon Phillips & Nagpurnanand Prabhala, 2014. "Product Market Threats, Payouts, and Financial Flexibility," Journal of Finance, American Finance Association, vol. 69(1), pages 293-324, February.
    11. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    12. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    13. Aikman, David & Galesic, Mirta & Gigerenzer, Gerd & Kapadia, Sujit & Katsikopoulos, Konstantinos & Kothiyal, Amit & Murphy, Emma & Neumann, Tobias, 2014. "Financial Stability Paper No 28: Taking uncertainty seriously - simplicity versus complexity in financial regulation," Bank of England Financial Stability Papers 28, Bank of England.
    14. Markus Behn & Rainer Haselmann & Paul Wachtel, 2016. "Procyclical Capital Regulation and Lending," Journal of Finance, American Finance Association, vol. 71(2), pages 919-956, April.
    15. Posner, Richard A, 1975. "The Social Costs of Monopoly and Regulation," Journal of Political Economy, University of Chicago Press, vol. 83(4), pages 807-827, August.
    16. Claessens, Stijn, 2017. "Regulation and structural change in financial systems," CEPR Discussion Papers 11822, C.E.P.R. Discussion Papers.
    17. Daniel K. Tarullo, 2019. "Financial Regulation: Still Unsettled a Decade after the Crisis," Journal of Economic Perspectives, American Economic Association, vol. 33(1), pages 61-80, Winter.
    18. Isaac Ehrlich & Richard A. Posner, 1974. "An Economic Analysis of Legal Rulemaking," The Journal of Legal Studies, University of Chicago Press, vol. 3(1), pages 257-286, January.
    19. de Souza, João Antônio Salvador & Rissatti, Jean Carlo & Rover, Suliani & Borba, José Alonso, 2019. "The linguistic complexities of narrative accounting disclosure on financial statements: An analysis based on readability characteristics," Research in International Business and Finance, Elsevier, vol. 48(C), pages 59-74.
    20. Brian J. Bushee & Ian D. Gow & Daniel J. Taylor, 2018. "Linguistic Complexity in Firm Disclosures: Obfuscation or Information?," Journal of Accounting Research, Wiley Blackwell, vol. 56(1), pages 85-121, March.
    21. Gerd Gigerenzer & Reinhard Selten (ed.), 2002. "Bounded Rationality: The Adaptive Toolbox," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262571641, December.
    22. Christian Leuz & Peter D. Wysocki, 2016. "The Economics of Disclosure and Financial Reporting Regulation: Evidence and Suggestions for Future Research," Journal of Accounting Research, Wiley Blackwell, vol. 54(2), pages 525-622, May.
    23. Kaplow, Louis, 1995. "A Model of the Optimal Complexity of Legal Rules," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 11(1), pages 150-163, April.
    24. Tim Loughran & Bill Mcdonald, 2014. "Measuring Readability in Financial Disclosures," Journal of Finance, American Finance Association, vol. 69(4), pages 1643-1671, August.
    25. Daníelsson, Jón & Macrae, Robert & Uthemann, Andreas, 2022. "Artificial intelligence and systemic risk," Journal of Banking & Finance, Elsevier, vol. 140(C).
    26. Nicola Cetorelli & Linda S. Goldberg, 2014. "Measures of global bank complexity," Economic Policy Review, Federal Reserve Bank of New York, issue Dec, pages 107-126.
    27. Keiichi Kawai & Ruitian Lang & Hongyi Li, 2018. "Political Kludges," American Economic Journal: Microeconomics, American Economic Association, vol. 10(4), pages 131-158, November.
    28. David Aikman & Mirta Galesic & Gerd Gigerenzer & Sujit Kapadia & Konstantinos Katsikopoulos & Amit Kothiyal & Emma Murphy & Tobias Neumann, 2021. "Taking uncertainty seriously: simplicity versus complexity in financial regulation [Uncertainty in macroeconomic policy-making: art or science?]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(2), pages 317-345.
    29. Robin Greenwood & Samuel G. Hanson & Jeremy C. Stein & Adi Sunderam, 2017. "Strengthening and Streamlining Bank Capital Regulation," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 48(2 (Fall)), pages 479-565.
    30. Engelberg, Joseph E. & Reed, Adam V. & Ringgenberg, Matthew C., 2012. "How are shorts informed?," Journal of Financial Economics, Elsevier, vol. 105(2), pages 260-278.
    31. Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
    32. Aikman, David & Haldane, Andrew & Hinterschweiger, Marc & Kapadia, Sujit, 2018. "Rethinking financial stability," Bank of England working papers 712, Bank of England.
    33. Guay, Wayne & Samuels, Delphine & Taylor, Daniel, 2016. "Guiding through the Fog: Financial statement complexity and voluntary disclosure," Journal of Accounting and Economics, Elsevier, vol. 62(2), pages 234-269.
    34. Gai, Prasanna & Kemp, Malcolm & Sánchez Serrano, Antonio & Schnabel, Isabel, 2019. "Regulatory complexity and the quest for robust regulation," Report of the Advisory Scientific Committee 8, European Systemic Risk Board.
    35. Marco Bardoscia & Stefano Battiston & Fabio Caccioli & Guido Caldarelli, 2017. "Pathways towards instability in financial networks," Nature Communications, Nature, vol. 8(1), pages 1-7, April.
    36. Pierpaolo Battigalli & Giovanni Maggi, 2002. "Rigidity, Discretion, and the Costs of Writing Contracts," American Economic Review, American Economic Association, vol. 92(4), pages 798-817, September.
    37. Fowler, James H. & Johnson, Timothy R. & Spriggs, James F. & Jeon, Sangick & Wahlbeck, Paul J., 2007. "Network Analysis and the Law: Measuring the Legal Importance of Precedents at the U.S. Supreme Court," Political Analysis, Cambridge University Press, vol. 15(3), pages 324-346, July.
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    2. Munday, Tim & Brookes, James, 2021. "Mark my words: the transmission of central bank communication to the general public via the print media," Bank of England working papers 944, Bank of England.
    3. Omotosho, Babatunde S., 2020. "Central Bank Communication during Economic Recessions: Evidence from Nigeria," MPRA Paper 99655, University Library of Munich, Germany.
    4. Singla, Shikhar, 2023. "Regulatory costs and market power," LawFin Working Paper Series 47, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
    5. Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.

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    More about this item

    Keywords

    Complexity; CRR; natural language processing; networks; regulation; supervision;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • K23 - Law and Economics - - Regulation and Business Law - - - Regulated Industries and Administrative Law

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