PEER-REVIEWED JOURNALS

• Broby, D., & Cerilles, M., Jr. (2026). The regional spillover effects on innovation from generative pre-trained transformers (GPT) and large language models (LLMs). Economics of Innovation and New Technology. https://doi.org/10.1080/10438599.2026.2676054 
• Broby, D., Warren, L., & Tsiligkiris, V. (2026). Adaptive curriculum design in a transnational dual masters programme. Higher Education Quarterly, 80(1), e70066. https://doi.org/10.1111/hequ.70066
• Broby, D., & Gerth, F. (2025). Artificial intelligence and the limits of the measurement of productivity. Annals of Social Sciences & Management Studies, 12(2), 555831. DOI: 10.19080/ASM.2025.12.555831
• Broby, D., & Yang, Z. (2025). What is green fintech? Journal of Risk and Financial Management, 18(7), 379. https://doi.org/10.3390/jrfm18070379
• Hamarat, C., & Broby, D. (2025). US regional small business lending: Impact of liquidity regulation and FinTech lenders. The Singapore Economic Review. https://doi.org/10.1142/S0217590825490062
• Broby, D., & Smyth, W. (2025). On the use of principal components analysis in index construction. Financial Statistical Journal, 8(1). https://doi.org/10.24294/fsj10858
• Hamarat, Ç., & Broby, D. (2022). Regulatory constraint and small business lending: Do innovative peer-to-peer lenders have an advantage? Financial Innovation, 8(73). https://doi.org/10.1186/s40854-022-00377-y
• Broby, D. (2022). Central bank digital currencies: Policy implications. Law and Financial Markets Review, 16(1–2), 100–115. https://doi.org/10.1080/17521440.2023.2209294
• Smyth, W., & Broby, D. (2022). An eigenvalue distribution-derived ‘Stability Measure’ for evaluating minimum variance portfolios. Quantitative Finance, 23(3), 521–537. https://doi.org/10.1080/14697688.2022.2149420
• Smyth, W., & Broby, D. (2022). An enhanced Gerber statistic for portfolio optimization. Finance Research Letters, 49, 103229. https://doi.org/10.1016/j.frl.2022.103229
• Broby, D. (2022). The use of predictive analytics in finance. The Journal of Finance and Data Science, 8, 145–161. https://doi.org/10.1016/j.jfds.2022.05.003
• Broby, D., McKenzie, A., & Bautheac, O. (2021). Factor model index for commodity investment. Journal of Index Investing, 12(3), 33–52.  https://doi.org/10.3905/jii.2021.1.110
• Broby, D. (2021). Financial technology and the future of banking. Financial Innovation, 7(47). https://doi.org/10.1186/s40854-021-00264-y
• Broby, D., & Spence, O. (2020). The tracking efficiency of physical and synthetic equity index ETFs. Journal of Index Investing, 11(3), 34–47.  https://doi.org/10.3905/jii.2020.1.097
• Broby, D. (2013). The case for a roadmap towards financial regulatory convergence. Journal of Financial Regulation and Compliance, 21(4), 397–402. https://doi.org/10.1108/JFRC-02-2013-0002
• Broby, D. (2012). The regulatory evolution of the post-credit crisis fund management industry. Journal of Economic Policy Reform, 15(1), 5–11. https://doi.org/10.1080/17487870.2011.642145

BOOKS AND BOOK CHAPTERS

• Broby, D. (2024). A guide to equity index construction (2nd ed.). Risk Books.
• Bielinski, A., & Broby, D. (2023). Machine learning and the optimal choice of asset pricing model. In S. H. Jafar, H. K., H. El-Chaarani, S. Moturi, & N. Gupta (Eds.), Artificial intelligence for capital markets (1st ed., pp. 37). Chapman and Hall/CRC. https://doi.org/10.1201/9781003327745
• Broby, D. (2010). A guide to fund management. Risk Books.
• Broby, D. (1997). The changing face of European fund management. FT Energy, a division of Pearson Professional Limited.

OTHER INTELLECTUAL CONTRIBUTION

• Gandy, A., Broby, D., Wright, G., Freeman, T., & Durkin, M. (2023). Industry preparedness for accelerated settlement cycle (SWIFT Institute Working Paper No. 2022-003). SWIFT Institute.