Professor Bruce Vanstone

Head of Bangor Business School

  1. Article › Research › Peer-reviewed
  2. Published

    Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered report

    Cornwell, N., Bilson, C., Gepp, A., Stern, S. & Vanstone, B., Feb 2023, In: Pacific-Basin Finance Journal. 77, 101906.

    Research output: Contribution to journalArticlepeer-review

  3. Published

    Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered study

    Cornwell, N., Bilson, C., Gepp, A., Stern, S. & Vanstone, B., Jun 2023, In: Pacific-Basin Finance Journal. 79, 102011.

    Research output: Contribution to journalArticlepeer-review

  4. Momentum in Australia

    Vanstone, B. J. & Hahn, T., 2019, In: The Australasian Journal of Applied Finance. 2019, 3, p. 17-22 6 p.

    Research output: Contribution to journalArticlepeer-review

  5. Momentum returns to S&P/ASX 100 constituents

    Vanstone, B., Hahn, T. & Finnie, G., 2012, In: The Australasian Journal of Applied Finance. 3, 3, p. 15-18 3 p.

    Research output: Contribution to journalArticlepeer-review

  6. News Media Analytics in Finance: A Survey

    Marty, T., Vanstone, B. J. & Hahn, T., 1 Jun 2020, In: Accounting and Finance . 60, 2, p. 1385-1434 50 p.

    Research output: Contribution to journalArticlepeer-review

  7. Predicting FTSE 100 returns and volatility using sentiment analysis

    Johnman, M., Vanstone, B. J. & Gepp, A., 1 Nov 2018, In: Accounting and Finance . 58, S1, p. 253-274 22 p.

    Research output: Contribution to journalArticlepeer-review

  8. Risk management in the Australian stock market using Artificial Neural Networks

    Krollner, B., Vanstone, B. J. & Finnie, G., 2012, In: Australian Journal of Intelligent Information Processing Systems. 13, 2, p. 1-12 12 p.

    Research output: Contribution to journalArticlepeer-review

  9. Stockmarket trading using fundamental variables and neural networks

    Vanstone, B. J., Finnie, G. & Hahn, T., 2010, In: Australian Journal of Intelligent Information Processing Systems. 11, 1, p. 41-47 7 p.

    Research output: Contribution to journalArticlepeer-review

  10. Text Mining and Automation for Processing of Patient Referrals

    Todd, J., Richards, B., Vanstone, B. J. & Gepp, A., 28 Mar 2018, In: Applied Clinical Informatics. 9, 1, p. 232-237 6 p.

    Research output: Contribution to journalArticlepeer-review

  11. Published

    The Role of Data Analytics within Operational Risk Management: A Systematic Review from the Financial Services and Energy Sectors

    Cornwell, N., Bilson, C. M., Gepp, A., Stern, S. & Vanstone, B. J., Jan 2023, In: Journal of the Operational Research Society. 74, 1, p. 374-402

    Research output: Contribution to journalArticlepeer-review

  12. Chapter › Research › Not peer-reviewed
  13. Automatically Generating and Solving Eternity II Style Puzzles

    Harris, G., Vanstone, B. J. & Gepp, A., 30 May 2018, Recent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Proceedings. Mouhoub, M., Sadaoui, S., Ait Mahomed, O. & Ali, M. (eds.). Germany: Springer, p. 626-632 7 p. (Lecture Notes in Computer Science (LNCS)).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  14. Data Characteristics for High-Frequency Trading Systems

    Vanstone, B. & Hahn, T., 4 Feb 2015, Handbook of High Frequency Trading. Gregoriou, G. N. (ed.). Netherlands: Elsevier, p. 47-57 11 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  15. Intelligent IS: Artificial neural networks in financial trading

    Vanstone, B. J. & Tan, C., 2005, Encyclopedia of information science and technology. Khosrow-Pour, M. (ed.). United States: IGI Global, Vol. I. p. 163-167 5 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  16. The Effect of Sentiment on Stock Price Prediction

    Vanstone, B. J., Gepp, A. & Harris, G., 30 May 2018, Recent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Proceedings. Mouhoub, M., Sadaoui, S., Ait Mahamed, O. & Ali, M. (eds.). Germany: Springer, p. 551-559 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  17. Chapter › Research › Peer-reviewed
  18. Variable transformation to a 2×2 Domain Space for Edge Matching Puzzles

    Aspinall, T., Gepp, A., Harris, G. & Vanstone, B. J., 1 Sept 2020, Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Proceedings. Fujita, H., Fournier-Viger, P., Ali, M. & Sasaki, J. (eds.). Germany: Springer, p. 210-221 12 p. (Lecture Notes in Computer Science; vol. 12144).

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

  19. Conference contribution › Research › Not peer-reviewed
  20. Combining technical analysis and neural networks in the Australian stockmarket

    Vanstone, B. & Finnie, G., 2006, Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2006. del Pobil, A. P. (ed.). p. 125-130 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  21. Creating short-term stockmarket trading strategies using artificial neural networks: A case study

    Vanstone, B. & Hahn, T., 2008, WORLD CONGRESS ON ENGINEERING 2008, VOLS I-II. Ao, SI., Gelman, L., Hukins, DWL., Hunter, A. & Korsunsky, AM. (eds.). INT ASSOC ENGINEERS-IAENG, p. 80-84 5 p. (Lecture Notes in Engineering and Computer Science).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  22. Designing short term trading systems with artificial neural networks

    Vanstone, B., Finnie, G. & Hahn, T., 2009, Advances in Electrical Engineering and Computational Science. Vol. 39 LNEE. p. 401-409 9 p. (Lecture Notes in Electrical Engineering).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  23. Developing high frequency foreign exchange trading systems

    Vanstone, B. J., Hahn, T. & Finnie, G., 2012, Proceedings of the 25th Australasian Finance & Banking Conference. Moshirian, F. (ed.). Australia: Australian School of Business, University of New South Wales

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  24. Enhancing existing stockmarket trading strategies using artificial neural networks: A case study

    Vanstone, B. & Finnie, G., 2008, Neural Information Processing - 14th International Conference, ICONIP 2007, Revised Selected Papers. PART 2 ed. Vol. 4985 LNCS. p. 478-487 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  25. Enhancing security selection in the Australian Stockmarket using fundamental analysis and neural networks

    Vanstone, B. J., Finnie, G. & Tan, C., 2004, International Conference on Artificial Intelligence and Soft Computing. del Pobil, A. P. (ed.). Canada: ACTA Press, p. 305-310 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  26. Evaluating the application of neural networks and fundamental analysis in the Australian Stockmarket

    Vanstone, B. J., Finnie, G. & Tan, C. N. W., 2005, Proceedings of the IASTED International Conference on Computational Intelligence. Hamza, M. H. (ed.). Canada: ACTA Press, p. 62-67 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  27. Financial time series forecasting with machine learning techniques: A survey

    Krollner, B., Vanstone, B. & Finnie, G., 2010, Proceedings of the 18th European Symposium on Artificial Neural Networks (ESANN 2010). p. 25-30 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  28. Momentum investing and the GFC: The case of the S&P/ASX100

    Vanstone, B. J. & Hahn, T., 2013, Proceedings of the 26th Australasian Finance and Banking Conference. Moshirian, F. (ed.). Australia: Australian School of Business, University of New South Wales

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  29. Returns to selecting value stocks in Australia - The Aby filters

    Vanstone, B. J., Hahn, T. & Finnie, G., 2009, Proceedings of The 22nd Australasian Finance and Banking Conference 2009. Social Science Research Network (SSRN), p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution