Comparative bank financial risk management models in fintechs and challenger banks

ZHAO, Kun (2021). Comparative bank financial risk management models in fintechs and challenger banks. Doctoral, Sheffield Hallam University.

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Risk management in banking operations is a popular topic among researchers in the fields of management and banking. Due to developments in technology, research on financial technology has also become a hot topic. Banks and financial technology companies (fintechs) need to learn what risks impact their operations and how to manage these risks effectively. The aim of this study is to investigate the relationship between risk management and bank performance, compare it between traditional banks and challenger banks/fintechs, and make suggestions on how to improve performance by analysing historical data. This thesis adopts a mixed-method approach, estimating risk variables and their impacts on bank performance through panel data regression models (random-effects and generalised method of moments) and conducting case studies to contribute to knowledge in theory and practice. This research investigates the relationship between five main types of risks (credit risk, market risk, liquidity and capital risk, reputational risk, and operational risk) and bank performance measured by three variables (ROA, ROE and EPS). This study confirms the importance of risk management in bank performance. For example, credit risk variables show negative impacts on all banks, which suggests that reducing credit risks could increase bank performance. Market risk variables are complex with both positive and negative effects on bank performance. Thus, banks should keep market risk at a balanced level to receive better performance. Moreover, bank performance could be increased by increasing liquidity, capital and reputation as well as reducing debt, operational issues and costs. The contributions of this research include the enhancement of literature on the relationship between bank performance and risk management. Also, this research creates a greater awareness of risk management for challenger banks and fintechs. Moreover, it fills gaps in the literature by comparing results for traditional banks with those for challenger banks and fintechs. The results of this research offer new insights into risk management for both traditional banks and challenger banks and fintechs for iii academics and have the potential to assist traditional banks and challenger banks and fintechs in managing their risks and improving their efficiency in practice.

Item Type: Thesis (Doctoral)
Thesis advisor - Serbera, Jean-Philippe [0000-0001-6867-4405]
Thesis advisor - Lingham, Eleanor
Thesis advisor - Katsiampa, Paraskevi [0000-0003-0477-6503]
Thesis advisor - Brunsdon, Teresa
Thesis advisor - Ezepue, Patrick
Additional Information: Director of studies: Dr. Jean-Philippe Serbera / Thesis supervisors: Dr. Eleanor Lingham, Dr. Paraskevi Katsiampa, Dr. Teresa Brunsdon and Dr. Patrick Ezepue
Research Institute, Centre or Group - Does NOT include content added after October 2018: Sheffield Hallam Doctoral Theses
Identification Number:
Depositing User: Colin Knott
Date Deposited: 04 Aug 2021 16:17
Last Modified: 03 May 2023 02:08

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