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| New Books |
Ebook: FN442 The Banking Sector Under Financial Stability By Indranarain Ramlall | Ebook: FN443 British Business Banking : The Failure of Finance By Michael Lloyd |  Ebook: FN444 Investment Management By Nasiruzzaman Ayoun |
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| Articles |
| How do financial development and institutional quality influence greenhouse gases in the Next-11 economies? By Bhatti, Muhammad Kamran; Zhu, Shujin; Hassan, Ali; Husnain, Muhammad Ali; Hussain, Aqsa Bilal Humanities & Social Sciences Communications; London Vol. 12, Iss. 1, (Dec 2025): 1656. DOI:10.1057/s41599-025-05897-3 Abstract :The sustainable development goals of many nations are challenged by the need to reduce emissions, improve ecological integrity, and address the impacts on climatic alteration. The study examines how the financial innovation and institution quality effect environmental sustainability in NEXT-11 countries between 1995 and 2023. This study analyzes how financial growth and institutional quality affects CO2, N2O, and CH4 emissions in Next-11 nations, filling research gaps through advanced econometrics and policy-focused findings. Based on the second-generation Panel ARDL method and further with robustness checks of DOLS and FMOLS, this research found that the financial innovation contributes to mitigating carbon emissions but affects other types of gases (N2O and CH4) more complexly. The financial development decreases CO₂ emissions; it raises N2O emissions, though slightly, and reduces CH4 emissions, so financial development does exert different impacts on different sectors. Conversely, we found that increases in institutional strength consistently had positive effects on environmental outcomes. Reductions in CO2, N2O, and CH4 emissions were associated with increased governance and regulatory quality. Results reveal the significance of both financial innovation and institution quality in determining the environmental destiny of emerging economies. When economic growth is linked to strong institutions, it plays a deterrent role in emissions, highlighting the significance of sustainable finance and good governance for environmental degradation. | |||
| Revolutionizing finance with conversational AI: a focus on ChatGPT implementation and challenges By Zhisheng Chen Humanities & Social Sciences Communications; London Vol. 12, Iss. 1, (Dec 2025): 388. DOI:10.1057/s41599-025-04725-y Abstract :This study aims to investigate the application and management strategies of ChatGPT in financial services. We explore the potential of ChatGPT in financial customer service, financial planning, risk management, portfolio analysis, insurance services, and fraud prevention, for which it is found to provide efficient automated solutions for financial institutions. To successfully implement ChatGPT applications, we emphasize the importance of managing conversational AI, including clarifying business requirements, identifying application scenarios, building appropriate data models, ensuring security and privacy, performing manual supervision, and establishing evaluation and feedback mechanisms. Besides, we also analyze the challenges and limitations of ChatGPT in financial business, such as data trustworthiness, data privacy and security issues, model bias, and regulatory and compliance issues. Under this foundation, we propose corresponding solutions. Finally, we look forward to the future development of ChatGPT in the financial domain and make corresponding practical suggestions to help financial institutions better utilize ChatGPT technology. | |||
| Assessing SME credit rating in supply chain finance with multi-phase QFD-based MULTIMOORA under uncertainty By Gao, Hui; Zhang, Hui; Liu, Peide Technological and Economic Development of Economy; Vilnius Vol. 31, Iss. 6, (Nov 2025): 1749-1780. DOI:10.3846/tede.2025.23153 Abstract :Presently, financial institutions have tentatively utilized supply chain finance as a means of assessing small and medium-sized enterprise (SME) credit rating. However, traditional techniques cannot satisfy the requirements of such assessments because financial institutions need to assess SME credit rating from the perspective of the supply chain and core enterprise rather than only from the perspective of SME. In this study, a hybrid technique with quantitative and qualitative criteria called multi-phase quality function deployment (QFD)-based MULTIMOORA under interval type-2 fuzzy set (IT2FS) is proposed to overcome the defects of traditional techniques. First, the quantitative values were converted into IT2FSs using the developed formulas. Second, a multi-phase QFD model is proposed to obtain the SME credit rating matrix by integrating the core enterprise credit rating matrix and the criterion relationship matrices among SME, core enterprises and supply chains. Third, IT2FS-MULTIMOORA is enhanced by considering the improved Borda Rule and extended reference point simultaneously to derive the final rankings; therefore, a weight-determining technique is presented based on the correlation coefficients. Finally, the proposed technique was applied to the SME credit rating assessment problem. Comparisons with other techniques and the sensitivity analysis results provide suggestions for financial institutions to provide loans to SMEs. | |||
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| News |
| Govt panel reviews foreign banks` plans to open branches in India By Business Standard; 2nd January 2026 |
| Finance Ministry notifies rules for 100% FDI in Insurance sector By The Economic Times; 01 January 2026 |
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