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Non-interest Income, Trading, and Bank Risk

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Listed:
  • Carl R. Chen

    (University of Dayton)

  • Ying Sophie Huang

    (Zhejiang University)

  • Ting Zhang

    (University of Dayton)

Abstract

This study examines the interaction of bank risk and non-interest income (trading and non-trading) controlling for the executive incentive compensation effect. We do not find executive stock option compensation (ESO) directly impacts bank risk. On the contrary, bank non-interest income, both trading and non-trading revenue components, positively and significantly affects bank risk. This result is robust to the difference-in-difference regressions, bank fixed effect, and the exclusion of too-big-to-fail banks. In a simultaneous equations setting, non-interest income activities affect bank risk of all types, while ESO does not. Moreover, idiosyncratic risk has a positive effect on bank non-interest income activities, but systematic risk has no effect. This result suggests that executives of banks with high idiosyncratic risk have more incentive to expand into the territory of non-interest income activities. Since high-risk banks pose more concern to investors and regulators, we further examine bank risk by means of quantile regressions which dissect the behavior of banks at the tail risk distribution. The findings point out that banks’ decision to diversify into non-traditional business lines is associated with risks in high-risk banks. The impact of non-interest income/trading revenues on bank risk increases in risk, and often the largest impact is spotted for banks with extreme risks. This implies that the leverage effect of non-interest income/trading activities is larger in high-risk banks.

Suggested Citation

  • Carl R. Chen & Ying Sophie Huang & Ting Zhang, 2017. "Non-interest Income, Trading, and Bank Risk," Journal of Financial Services Research, Springer;Western Finance Association, vol. 51(1), pages 19-53, February.
  • Handle: RePEc:kap:jfsres:v:51:y:2017:i:1:d:10.1007_s10693-015-0235-9
    DOI: 10.1007/s10693-015-0235-9
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    References listed on IDEAS

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    Cited by:

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    3. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    4. Frank Antwi & Mercy Kwakye, 2022. "Modelling the effect of bank performance on financial stability: Fresh evidence from africa," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(7), pages 143-151, October.
    5. Cañón, Carlos & Cortés, Edgar & Guerrero, Rodolfo, 2022. "Bank competition and the price of credit: Evidence using Mexican loan-level data," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 56-74.
    6. Tran, Dung Viet & Hoang, Khanh & Nguyen, Cuong, 2021. "How does economic policy uncertainty affect bank business models?," Finance Research Letters, Elsevier, vol. 39(C).
    7. Mamun, Abdullah & Meier, Garrett & Wilson, Craig, 2023. "How do noninterest income activities affect bank holding company performance?," Finance Research Letters, Elsevier, vol. 53(C).
    8. Peter Nderitu GITHAIGA, 2019. "Income Diversification, Market Power and Performance," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 3(2), pages 1-21.

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    More about this item

    Keywords

    Bank risk; Executive compensation; Bank diversification; Non-interest income; Bank trading; Quantile regression;
    All these keywords.

    JEL classification:

    • 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
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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