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Big Data in Finance
[Institutional order handling and broker-affiliated trading venues]

Citations

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Cited by:

  1. Jin, Zhuo & Zhou, Zhixiang & Wu, Huaqing, 2025. "Enhancing digital manufacturing efficiency and dominance relation driven big Data analytics," International Journal of Production Economics, Elsevier, vol. 289(C).
  2. Michalski, Lachlan & Low, Rand Kwong Yew, 2024. "Determinants of corporate credit ratings: Does ESG matter?," International Review of Financial Analysis, Elsevier, vol. 94(C).
  3. Maria Saveria Mavillonio, 2024. "Natural Language Processing Techniques for Long Financial Document," Discussion Papers 2024/317, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
  4. Nam, Rachel J., 2022. "Open banking and customer data sharing: Implications for FinTech borrowers," SAFE Working Paper Series 364, Leibniz Institute for Financial Research SAFE.
  5. Wang, Sai & Wen, Wen & Niu, Yuhao & Li, Xin, 2024. "Digital transformation and corporate labor investment efficiency," Emerging Markets Review, Elsevier, vol. 59(C).
  6. Li, Lanyu & Liu, Hong & Yang, Qingshan, 2025. "Non-fundamental information disclosure and discretionary liquidity trading," Economic Modelling, Elsevier, vol. 147(C).
  7. Hałaj, Grzegorz & Martinez-Jaramillo, Serafin & Battiston, Stefano, 2024. "Financial stability through the lens of complex systems," Journal of Financial Stability, Elsevier, vol. 71(C).
  8. Zhang, Yaojie & Wahab, M.I.M. & Wang, Yudong, 2023. "Forecasting crude oil market volatility using variable selection and common factor," International Journal of Forecasting, Elsevier, vol. 39(1), pages 486-502.
  9. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
  10. Rad, Hossein & Low, Rand Kwong Yew & Miffre, Joëlle & Faff, Robert, 2023. "The commodity risk premium and neural networks," Journal of Empirical Finance, Elsevier, vol. 74(C).
  11. Edmans, Alex & Fernandez-Perez, Adrian & Garel, Alexandre & Indriawan, Ivan, 2022. "Music sentiment and stock returns around the world," Journal of Financial Economics, Elsevier, vol. 145(2), pages 234-254.
  12. Puri, Indira & Veldkamp, Laura, 2026. "Artificial intelligence and cognitive inequality," Journal of Monetary Economics, Elsevier, vol. 157(C).
  13. Mahsa Samsami & Ralf Wagner, 2021. "Investment Decisions with Endogeneity: A Dirichlet Tree Analysis," JRFM, MDPI, vol. 14(7), pages 1-19, July.
  14. Jiawei Wang & Zhen Chen, 2024. "Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks," PLOS ONE, Public Library of Science, vol. 19(6), pages 1-26, June.
  15. Li, Ang & Liu, Mark & Sheather, Simon, 2023. "Predicting stock splits using ensemble machine learning and SMOTE oversampling," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
  16. Day, Min-Yuh & Ni, Yensen, 2023. "Be greedy when others are fearful: Evidence from a two-decade assessment of the NDX 100 and S&P 500 indexes," International Review of Financial Analysis, Elsevier, vol. 90(C).
  17. Tom L. Dudda & Lars Hornuf, 2025. "The Perks and Perils of Machine Learning in Business and Economic Research," CESifo Working Paper Series 11721, CESifo.
  18. Sun, Yue & Chai, Nana & Dong, Yizhe & Shi, Baofeng, 2022. "Assessing and predicting small industrial enterprises’ credit ratings: A fuzzy decision-making approach," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1158-1172.
  19. Wu, Weiwei & Xiao, Ruicong, 2025. "Antecedent configurations toward technology search strategies in digital transformation: The joint impact of performance feedback, organizational slack and TMT regulatory focus," Technovation, Elsevier, vol. 144(C).
  20. Alex Kim & Maximilian Muhn & Valeri Nikolaev, 2023. "Bloated Disclosures: Can ChatGPT Help Investors Process Information?," Papers 2306.10224, arXiv.org, revised Oct 2025.
  21. Wang, Qin & Wang, Ying, 2025. "What shapes export competitiveness of home country firms? Host country environmental regulations or labor standards," International Review of Financial Analysis, Elsevier, vol. 103(C).
  22. Arnold, Lutz G. & Russ, David, 2024. "Listening to the noise: On price efficiency with dynamic trading," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 103-120.
  23. Wang, Yichen & Hu, Jun & Chen, Jia, 2023. "Does Fintech facilitate cross-border M&As? Evidence from Chinese A-share listed firms," International Review of Financial Analysis, Elsevier, vol. 85(C).
  24. Ziqian Peng & Haiyang Zhang & Peng Zhou & Junlin Ren & Yanbai Chen, 2025. "Enterprise digital transformation and inefficient investment: from the perspective of diversified operations and environmental uncertainty," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-16, December.
  25. Niu, Yuhao & Wang, Sai & Wen, Wen & Li, Sifei, 2023. "Does digital transformation speed up dynamic capital structure adjustment? Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
  26. Sonya Georgieva, 2023. "Application of Artificial Intelligence and Machine Learning in the Conduct of Monetary Policy by Central Banks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 8, pages 177-199.
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