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Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis

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Cited by:

  1. Ding, Tao & Li, Hao & Liu, Li & Feng, Kui, 2024. "An inquiry into the nexus between artificial intelligence and energy poverty in the light of global evidence," Energy Economics, Elsevier, vol. 136(C).
  2. Mukherjee, Debmalya & Kumar, Satish & Mukherjee, Deepraj & Goyal, Kirti, 2022. "Mapping five decades of international business and management research on India: A bibliometric analysis and future directions," Journal of Business Research, Elsevier, vol. 145(C), pages 864-891.
  3. Armenia, Stefano & Franco, Eduardo & Iandolo, Francesca & Maielli, Giuliano & Vito, Pietro, 2024. "Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
  4. Duan, Huayou & Zhao, Chenchen & Wang, Lu & Liu, Guangqiang, 2024. "The relationship between renewable energy attention and volatility: A HAR model with markov time-varying transition probability," Research in International Business and Finance, Elsevier, vol. 71(C).
  5. Anwer, Zaheer & Khan, Muhammad Arif & Hassan, M. Kabir & Singh, Manjeet Kaur Harnek, 2024. "Assessing dynamic co-movement of news based uncertainty indices and distance-to -default of global FinTech firms," Research in International Business and Finance, Elsevier, vol. 71(C).
  6. Wayne Moodaley & Arnesh Telukdarie, 2023. "Greenwashing, Sustainability Reporting, and Artificial Intelligence: A Systematic Literature Review," Sustainability, MDPI, vol. 15(2), pages 1-25, January.
  7. Peng, Weike & Gao, Jiaxin & Chen, Yuntian & Wang, Shengwei, 2024. "Bridging data barriers among participants: Assessing the potential of geoenergy through federated learning," Applied Energy, Elsevier, vol. 367(C).
  8. Prashant Sharma & Gaurav Agrawal & Geetika Arora & Dinesh Kumar Sharma & Varun Chotia, 2023. "Research on Price Discovery in Financial Securities: Trends and Directions for Future Research," JRFM, MDPI, vol. 16(9), pages 1-19, September.
  9. Yang, Jinglan & Liu, Jianghuai & Yao, Zheng & Ma, Chaoqun, 2024. "Measuring digitalization capabilities using machine learning," Research in International Business and Finance, Elsevier, vol. 70(PB).
  10. Naeem, Muhammad Abubakr & Karim, Sitara & Tiwari, Aviral Kumar, 2022. "Quantifying systemic risk in US industries using neural network quantile regression," Research in International Business and Finance, Elsevier, vol. 61(C).
  11. Steve J. Bickley & Ho Fai Chan & Benno Torgler, 2022. "Artificial intelligence in the field of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 2055-2084, April.
  12. Zhenglong Li & Vincent Tam & Kwan L. Yeung, 2024. "Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management," Papers 2402.00515, arXiv.org, revised Sep 2024.
  13. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
  14. Satish Kumar & Weng Marc Lim & Uthayasankar Sivarajah & Jaspreet Kaur, 2023. "Artificial Intelligence and Blockchain Integration in Business: Trends from a Bibliometric-Content Analysis," Information Systems Frontiers, Springer, vol. 25(2), pages 871-896, April.
  15. Han Kuang & Peng Tian & Xiuwei Liang, 2024. "Policy analysis combining artificial intelligence and text mining technology in the perspective of educational informatization," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-9, December.
  16. Yuwei Yin & Yazheng Yang & Jian Yang & Qi Liu, 2023. "FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models," Papers 2308.00065, arXiv.org.
  17. Goodell, John W. & Oriani, Marco Ercole & Paltrinieri, Andrea & Patel, Ritesh, 2023. "The importance of ABS 2 journals in finance scholarship: Evidence from a bibliometric case study," Finance Research Letters, Elsevier, vol. 55(PA).
  18. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
  19. Boubaker, Sabri & Goodell, John W. & Kumar, Satish & Sureka, Riya, 2023. "COVID-19 and finance scholarship: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 85(C).
  20. Yankol-Schalck, Meryem, 2022. "The value of cross-data set analysis for automobile insurance fraud detection," Research in International Business and Finance, Elsevier, vol. 63(C).
  21. Awijen, Haithem & Ben Zaied, Younes & Ben Lahouel, Béchir & Khlifi, Foued, 2023. "Machine learning for US cross-industry return predictability under information uncertainty," Research in International Business and Finance, Elsevier, vol. 64(C).
  22. Kumar, Satish & Sahoo, Saumyaranjan & Lim, Weng Marc & Kraus, Sascha & Bamel, Umesh, 2022. "Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
  23. Ahmed, Shamima & Alshater, Muneer M. & Ammari, Anis El & Hammami, Helmi, 2022. "Artificial intelligence and machine learning in finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 61(C).
  24. Johanna M. Orozco-Castañeda & Sebastián Alzate-Vargas & Danilo Bedoya-Valencia, 2024. "Evaluating Volatility Using an ANFIS Model for Financial Time Series Prediction," Risks, MDPI, vol. 12(10), pages 1-15, September.
  25. Mukherjee, Debmalya & Lim, Weng Marc & Kumar, Satish & Donthu, Naveen, 2022. "Guidelines for advancing theory and practice through bibliometric research," Journal of Business Research, Elsevier, vol. 148(C), pages 101-115.
  26. Bostan Andreea-Izabela & Dragomirescu Oana-Alexandra, 2024. "Revolutionizing Finance: Insights on the Impact of Automation," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 3374-3386.
  27. Anup Kumar & Santosh Kumar Shrivastav & Avinash K. Shrivastava & Rashmi Ranjan Panigrahi & Abbas Mardani & Fausto Cavallaro, 2023. "Sustainable Supply Chain Management, Performance Measurement, and Management: A Review," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
  28. Antonio Molina-García & Julio Diéguez-Soto & M. Teresa Galache-Laza & Marta Campos-Valenzuela, 2023. "Financial literacy in SMEs: a bibliometric analysis and a systematic literature review of an emerging research field," Review of Managerial Science, Springer, vol. 17(3), pages 787-826, April.
  29. Kanzari, Dalel & Nakhli, Mohamed Sahbi & Gaies, Brahim & Sahut, Jean-Michel, 2023. "Predicting macro-financial instability – How relevant is sentiment? Evidence from long short-term memory networks," Research in International Business and Finance, Elsevier, vol. 65(C).
  30. Qiu, Jing & Li, Dan, 2024. "Analyst tracking and innovation inconsistency in companies," Research in International Business and Finance, Elsevier, vol. 71(C).
  31. Carmona, Pedro & Dwekat, Aladdin & Mardawi, Zeena, 2022. "No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure," Research in International Business and Finance, Elsevier, vol. 61(C).
  32. Dhananjay Bapat & Devika Vashisht, 2024. "Experience in financial services: a bibliometric analysis and thematic content analysis," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 904-921, September.
  33. Andrés Alonso & José Manuel Carbó, 2022. "Accuracy of explanations of machine learning models for credit decisions," Working Papers 2222, Banco de España.
  34. Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
  35. Mavruk, Taylan, 2022. "Analysis of herding behavior in individual investor portfolios using machine learning algorithms," Research in International Business and Finance, Elsevier, vol. 62(C).
  36. Mushtaq, Rizwan & Gull, Ammar Ali & Shahab, Yasir & Derouiche, Imen, 2022. "Do financial performance indicators predict 10-K text sentiments? An application of artificial intelligence," Research in International Business and Finance, Elsevier, vol. 61(C).
  37. David Alaminos & María Belén Salas & Manuel A. Fernández-Gámez, 2024. "High-Frequency Trading in Bond Returns: A Comparison Across Alternative Methods and Fixed-Income Markets," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2263-2354, October.
  38. Migliavacca, Milena & Patel, Ritesh & Paltrinieri, Andrea & Goodell, John W., 2022. "Mapping impact investing: A bibliometric analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
  39. Ren, Yi-Shuai & Ma, Chao-Qun & Kong, Xiao-Lin & Baltas, Konstantinos & Zureigat, Qasim, 2022. "Past, present, and future of the application of machine learning in cryptocurrency research," Research in International Business and Finance, Elsevier, vol. 63(C).
  40. Cosma, Simona & Rimo, Giuseppe & Torluccio, Giuseppe, 2023. "Knowledge mapping of model risk in banking," International Review of Financial Analysis, Elsevier, vol. 89(C).
  41. Kumar, Satish & Chavan, Meena & Pandey, Nitesh, 2023. "Journal of International Management: A 25-year review using bibliometric analysis," Journal of International Management, Elsevier, vol. 29(1).
  42. Zhou, Fang-Ru & Zhou, Kai & Zhang, Duo & Peng, Qi-Yuan, 2024. "Optimization of the cruising speed for high-speed trains to reduce energy consumed by motion resistances," Applied Energy, Elsevier, vol. 374(C).
  43. Alena Vagaská & Miroslav Gombár & Antonín Korauš, 2022. "Mathematical Modeling and Nonlinear Optimization in Determining the Minimum Risk of Legalization of Income from Criminal Activities in the Context of EU Member Countries," Mathematics, MDPI, vol. 10(24), pages 1-25, December.
  44. Edouard Augustin Ribes, 2023. "Transforming personal finance thanks to artificial intelligence: myth or reality?," Financial Economics Letters, Anser Press, vol. 2(1), pages 11-12, April.
  45. Norder, Kurt & Emich, Kyle & Kanar, Adam & Sawhney, Aman & Behrend, Tara S., 2022. "A house divided: A multilevel bibliometric review of the job search literature 1973–2020," Journal of Business Research, Elsevier, vol. 151(C), pages 100-117.
  46. Chen, Dangxing & Ye, Jiahui & Ye, Weicheng, 2023. "Interpretable selective learning in credit risk," Research in International Business and Finance, Elsevier, vol. 65(C).
  47. Nejla Ould Daoud Ellili, 2023. "Is there any association between FinTech and sustainability? Evidence from bibliometric review and content analysis," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(4), pages 748-762, December.
  48. Chen, Zhenhua & Liu, Zhenya & Teka, Hanen & Zhang, Yifan, 2022. "Smart money in China's A-share market: Evidence from big data," Research in International Business and Finance, Elsevier, vol. 61(C).
  49. Yinheng Li & Shaofei Wang & Han Ding & Hang Chen, 2023. "Large Language Models in Finance: A Survey," Papers 2311.10723, arXiv.org, revised Jul 2024.
  50. Ben Jabeur, Sami & Ballouk, Hossein & Ben Arfi, Wissal & Sahut, Jean-Michel, 2023. "Artificial intelligence applications in fake review detection: Bibliometric analysis and future avenues for research," Journal of Business Research, Elsevier, vol. 158(C).
  51. Vecchi, Edoardo & Berra, Gabriele & Albrecht, Steffen & Gagliardini, Patrick & Horenko, Illia, 2023. "Entropic approximate learning for financial decision-making in the small data regime," Research in International Business and Finance, Elsevier, vol. 65(C).
  52. Heller, Yuval & Tubul, Itay, 2023. "Strategies in the repeated prisoner’s dilemma: A cluster analysis," MPRA Paper 117444, University Library of Munich, Germany.
  53. Kingsley Hung Khai Yeo & Weng Marc Lim & Kwang-Jing Yii, 2024. "Financial planning behaviour: a systematic literature review and new theory development," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 979-1001, September.
  54. Samuel-Soma M. Ajibade & Muhammed Basheer Jasser & David Olayemi Alebiosu & Ismail Ahmed Al- Qasem Al-Hadi & Ghassan Saleh Al-Dharhani & Farrukh Hassan & Bright Akwasi Gyamfi, 2024. "Uncovering the Dynamics in the Application of Machine learning in Computational Finance: A Bibliometric and Social Network Analysis," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 299-315, July.
  55. Pandey, Dharen Kumar & Hassan, M.Kabir & Kumari, Vineeta & Zaied, Younes Ben & Rai, Varun Kumar, 2024. "Mapping the landscape of FinTech in banking and finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 67(PA).
  56. Peng He & Tong-Yuan Wang & Qi Shang & Jun Zhang & Henry Xu, 2024. "Knowledge mapping of e-commerce supply chain management: a bibliometric analysis," Electronic Commerce Research, Springer, vol. 24(3), pages 1889-1925, September.
  57. Jasman Tuyon & Okey Peter Onyia & Aidi Ahmi & Chia-Hsing Huang, 2023. "Sustainable financial services: reflection and future perspectives," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(4), pages 664-690, December.
  58. Zhong, Wenli & Liu, Yang & Dong, Kangyin & Ni, Guohua, 2024. "Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China," Energy Economics, Elsevier, vol. 138(C).
  59. Joao Vitor Matos Goncalves & Michel Alexandre & Gilberto Tadeu Lima, 2023. "ARIMA and LSTM: A Comparative Analysis of Financial Time Series Forecasting," Working Papers, Department of Economics 2023_13, University of São Paulo (FEA-USP).
  60. Chaturvedi, Rijul & Verma, Sanjeev & Das, Ronnie & Dwivedi, Yogesh K., 2023. "Social companionship with artificial intelligence: Recent trends and future avenues," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  61. Alaminos, David & Guillén-Pujadas, Miguel & Vizuete-Luciano, Emili & Merigó, José María, 2024. "What is going on with studies on financial speculation? Evidence from a bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 429-445.
  62. Pattnaik, Debidutta & Kumar, Satish & Burton, Bruce & Lim, Weng Marc, 2022. "Economic Modelling at thirty-five: A retrospective bibliometric survey," Economic Modelling, Elsevier, vol. 107(C).
  63. Duncan, Keith & Gepp, Adrian & Craig, Justin & O'Neill, Helen, 2023. "Research ideas matter: Guidance for research students and early career researchers," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
  64. Hanane Thamik & Jiang Wu, 2022. "The Impact of Artificial Intelligence on Sustainable Development in Electronic Markets," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
  65. Archana Saxena & Rajesh Singh & Anita Gehlot & Shaik Vaseem Akram & Bhekisipho Twala & Aman Singh & Elisabeth Caro Montero & Neeraj Priyadarshi, 2022. "Technologies Empowered Environmental, Social, and Governance (ESG): An Industry 4.0 Landscape," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
  66. Lim, Weng Marc & Rasul, Tareq & Kumar, Satish & Ala, Mamun, 2022. "Past, present, and future of customer engagement," Journal of Business Research, Elsevier, vol. 140(C), pages 439-458.
  67. P. V. Thayyib & Rajesh Mamilla & Mohsin Khan & Humaira Fatima & Mohd Asim & Imran Anwar & M. K. Shamsudheen & Mohd Asif Khan, 2023. "State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary," Sustainability, MDPI, vol. 15(5), pages 1-38, February.
  68. Zoran Stoiljkovic, 2023. "Applying Reinforcement Learning to Option Pricing and Hedging," Papers 2310.04336, arXiv.org.
  69. Cosma, Simona & Rimo, Giuseppe, 2024. "Redefining insurance through technology: Achievements and perspectives in Insurtech," Research in International Business and Finance, Elsevier, vol. 70(PA).
  70. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.
  71. Hashemi, Hossein & Rajabi, Reza & Brashear-Alejandro, Thomas G., 2022. "COVID-19 research in management: An updated bibliometric analysis," Journal of Business Research, Elsevier, vol. 149(C), pages 795-810.
  72. Sharma, Amalesh & Yashaswy Akella, Laxminarayana & Bikash Borah, Sourav, 2022. "Knowledge structure of Chief Marketing Officers (CMOs): A review, bibliometric analysis, and research agenda," Journal of Business Research, Elsevier, vol. 151(C), pages 448-462.
  73. Ozili, Peterson K, 2024. "Artificial intelligence in central banking: benefits and risks of AI for central banks," MPRA Paper 120151, University Library of Munich, Germany.
  74. Karim, Sitara & Shafiullah, Muhammad & Naeem, Muhammad Abubakr, 2024. "When one domino falls, others follow: A machine learning analysis of extreme risk spillovers in developed stock markets," International Review of Financial Analysis, Elsevier, vol. 93(C).
  75. Ren, Tingting & Li, Shaofang & Zhang, Siying, 2024. "Stock market extreme risk prediction based on machine learning: Evidence from the American market," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).
  76. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
  77. Kumar, Satish & Sahoo, Saumyaranjan & Lim, Weng Marc & Dana, Léo-Paul, 2022. "Religion as a social shaping force in entrepreneurship and business: Insights from a technology-empowered systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  78. Feng, Haoyuan & Liu, Yue & Wu, Jie & Guo, Kun, 2023. "Financial market spillovers and macroeconomic shocks: Evidence from China," Research in International Business and Finance, Elsevier, vol. 65(C).
  79. Bhaskar, Ratikant & Hunjra, Ahmed Imran & Bansal, Shashank & Pandey, Dharen Kumar, 2022. "Central Bank Digital Currencies: Agendas for future research," Research in International Business and Finance, Elsevier, vol. 62(C).
  80. Azmat, Fara & Lim, Weng Marc & Moyeen, Abdul & Voola, Ranjit & Gupta, Girish, 2023. "Convergence of business, innovation, and sustainability at the tipping point of the sustainable development goals," Journal of Business Research, Elsevier, vol. 167(C).
  81. Krzysztof Rusek & Agnieszka Kleszcz & Albert Cabellos-Aparicio, 2023. "Bayesian inference of spatial and temporal relations in AI patents for EU countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3313-3335, June.
  82. Ajitha Kumari Vijayappan Nair Biju & Ann Susan Thomas & J Thasneem, 2024. "Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(1), pages 849-878, February.
  83. Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
  84. Baker, H. Kent & Kumar, Satish & Goyal, Kirti & Sharma, Anuj, 2021. "International review of financial analysis: A retrospective evaluation between 1992 and 2020," International Review of Financial Analysis, Elsevier, vol. 78(C).
  85. Lal, Madan & Kumar, Satish & Pandey, Dharen Kumar & Rai, Varun Kumar & Lim, Weng Marc, 2023. "Exchange rate volatility and international trade," Journal of Business Research, Elsevier, vol. 167(C).
  86. Daneshwar Sharma & Saumyaranjan Sahoo & Ashwani Kumar & Donald Huisingh & Dheeraj Sharma, 2023. "Corporate Nirvana: The Buddhist way to social sustainability and business innovation," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 5289-5313, December.
  87. Afaq Khattak & Hamad Almujibah & Ahmed Elamary & Caroline Mongina Matara, 2022. "Interpretable Dynamic Ensemble Selection Approach for the Prediction of Road Traffic Injury Severity: A Case Study of Pakistan’s National Highway N-5," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
  88. Pattnaik, Debidutta & Hassan, M. Kabir & Dsouza, Arun & Tiwari, Aviral & Devji, Shridev, 2023. "Ex-post facto analysis of cryptocurrency literature over a decade using bibliometric technique," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
  89. Ren, Yi-Shuai & Ma, Chao-Qun & Chen, Xun-Qi & Lei, Yu-Tian & Wang, Yi-Ran, 2023. "Sustainable finance and blockchain: A systematic review and research agenda," Research in International Business and Finance, Elsevier, vol. 64(C).
  90. Sureka, Riya & Kumar, Satish & Colombage, Sisira & Abedin, Mohammad Zoynul, 2022. "Five decades of research on capital budgeting – A systematic review and future research agenda," Research in International Business and Finance, Elsevier, vol. 60(C).
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