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Bank risk aggregation based on the triple perspectives of bank managers, credit raters, and financial analysts

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  • Wei, Lu
  • Miao, Xiyuan
  • Jing, Haozhe
  • Liu, Zhidong
  • Xie, Zezhong

Abstract

Previous studies have incorporated only textual risk information disclosed by bank managers into bank risk aggregation. Besides bank managers, credit raters and financial analysts are important sources of risk information. Thus, this study expands the sources of textual risk disclosures in bank risk aggregation to include the triple perspectives of bank managers, credit raters, and financial analysts to obtain more reasonable bank risk aggregation results. By aggregating credit, market, and operational risk in the U.S. banking system, we find that disregarding textual risk disclosures from credit rating reports and financial analyst reports leads to biased bank risk aggregation results.

Suggested Citation

  • Wei, Lu & Miao, Xiyuan & Jing, Haozhe & Liu, Zhidong & Xie, Zezhong, 2023. "Bank risk aggregation based on the triple perspectives of bank managers, credit raters, and financial analysts," Finance Research Letters, Elsevier, vol. 57(C).
    • Handle: RePEc:eee:finlet:v:57:y:2023:i:c:s1544612323005858
    DOI: 10.1016/j.frl.2023.104213
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    References listed on IDEAS

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    1. Beltrame, Federico & Previtali, Daniele & Sclip, Alex, 2018. "Systematic risk and banks leverage: The role of asset quality," Finance Research Letters, Elsevier, vol. 27(C), pages 113-117.
    2. Del Gaudio, Belinda L. & Megaravalli, Amith V. & Sampagnaro, Gabriele & Verdoliva, Vincenzo, 2020. "Mandatory disclosure tone and bank risk-taking: Evidence from Europe," Economics Letters, Elsevier, vol. 186(C).
    3. Samuel B. Bonsall IV & Eric R. Holzman & Brian P. Miller, 2017. "Managerial Ability and Credit Risk Assessment," Management Science, INFORMS, vol. 63(5), pages 1425-1449, May.
    4. Wei, Lu & Li, Guowen & Zhu, Xiaoqian & Sun, Xiaolei & Li, Jianping, 2019. "Developing a hierarchical system for energy corporate risk factors based on textual risk disclosures," Energy Economics, Elsevier, vol. 80(C), pages 452-460.
    5. Alessandri, Piergiorgio & Drehmann, Mathias, 2010. "An economic capital model integrating credit and interest rate risk in the banking book," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 730-742, April.
    6. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    7. Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
    8. Rosenberg, Joshua V. & Schuermann, Til, 2006. "A general approach to integrated risk management with skewed, fat-tailed risks," Journal of Financial Economics, Elsevier, vol. 79(3), pages 569-614, March.
    9. Lu Wei & Guowen Li & Xiaoqian Zhu & Jianping Li, 2019. "Discovering bank risk factors from financial statements based on a new semi‐supervised text mining algorithm," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(3), pages 1519-1552, September.
    10. Wei, Lu & Li, Guowen & Li, Jianping & Zhu, Xiaoqian, 2019. "Bank risk aggregation with forward-looking textual risk disclosures," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    11. Gredil, Oleg R. & Kapadia, Nishad & Lee, Jung Hoon, 2022. "On the information content of credit ratings and market-based measures of default risk," Journal of Financial Economics, Elsevier, vol. 146(1), pages 172-204.
    12. Jianping Li & Lu Wei & Cheng-Few Lee & Xiaoqian Zhu & Dengsheng Wu, 2018. "Financial statements based bank risk aggregation," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 673-694, April.
    13. 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.
    14. Yang Bao & Anindya Datta, 2014. "Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures," Management Science, INFORMS, vol. 60(6), pages 1371-1391, June.
    15. Premti, Arjan & Garcia-Feijoo, Luis & Madura, Jeff, 2017. "Information content of analyst recommendations in the banking industry," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 35-47.
    16. Kretzschmar, Gavin & McNeil, Alexander J. & Kirchner, Axel, 2010. "Integrated models of capital adequacy - Why banks are undercapitalised," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2838-2850, December.
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    More about this item

    Keywords

    Bank risk aggregation; Text mining; Financial statements; Credit rating reports; Financial analyst reports;
    All these keywords.

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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