Akin, I ORCID: 0000-0003-0918-7441 (2024) 'Investigating performances of commercial banks in the UK by using grey relation analysis.' İzmir İktisat Dergisi, 39 (4). pp. 1079-1106.
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Abstract
This study employs Grey Relational Analysis to assess the financial performance of commercial banks in the UK banking system. The main aim of the study is to identify influential indicators that have an impact on the banks’ performance. Identifying influential indicators helps banks determine strategies, capitalize on strengths, address weaknesses, and assure stakeholders of their resilience and profitability in dynamic markets. Using data from 2020 to 2022, five categories— profitability, interest ratio, liquidity and funds, asset quality, and capital adequacy—were analysed. This period was chosen to reveal the impact of Covid-19 on the performance of banks in the UK. Barclays plc consistently emerges as a top performer, showcasing robust financial management. Nationwide Building Society maintains stable performance with strengths in asset quality and funding. Lloyds Banking Group demonstrates stability with good profitability and capital adequacy. Santander UK plc exhibits fluctuating performance. NatWest Group plc shows moderate fluctuations, while HSBC Holding plc and Standard Chartered plc face specific challenges. According to the results of this study, Grey Relational Analysis (GRA) is a useful tool that aids strategic decision-making and risk management. It benefits the banking sector by supporting profitability, stability, and performance. Effective interest rate management is a significant factor in maintaining stability during market fluctuations. High asset quality strengthens bank performance, while efficient liquidity management is crucial for the sustained success of banks.
Item Type: | Article |
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UN SDGs: | Goal 8: Decent Work and Economic Growth |
Keywords: | commercial banks, performance evaluation, grey relational analysis, financial indicators, UK banking system |
Subjects: | H Social Sciences > HG Finance |
Divisions: | Bath Business School |
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Date Deposited: | 11 Nov 2024 12:53 |
Last Modified: | 11 Nov 2024 12:53 |
ISSN: | 1308-8505 |
URI / Page ID: | https://researchspace.bathspa.ac.uk/id/eprint/16655 |
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