Research Portal

Professor Bruce Vanstone

Head of Bangor Business School

Affiliations

ORCID: 0000-0002-3977-2468
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  1. A Unifying Model for Statistical Arbitrage: Model Assumptions and Empirical Failure

    Stephenson, J., Vanstone, B. J. & Hahn, T., Dec 2021, In: Computational Economics. 58, 4, p. 943-964

    Research output: Contribution to journal › Article › peer-review

  2. A survey of the application of soft computing to investment and financial trading

    Vanstone, B. J. & Tan, C., 2003, Proceedings of the Eighth Australian and New Zealand Intelligent Information Systems Conference (ANZIIS 2003). Lovell, B. C., Campbell, D. A., Fookes, C. B. & Maeder, A. J. (eds.). The Australian Pattern Recognition Society, p. 211-216 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  3. Published

    Adapting deep learning models between regional markets

    Tonkin, I., Gepp, A., Harris, G. & Vanstone, B., Jan 2023, In: Neural Computing and Applications. 35, 2, p. 1483–1492

    Research output: Contribution to journal › Article › peer-review

  4. An empirical methodology for developing stockmarket trading systems using artificial neural networks

    Vanstone, B. & Finnie, G., 1 Apr 2009, In: Expert Systems with Applications. 36, 3 PART 2, p. 6668-6680 13 p.

    Research output: Contribution to journal › Article › peer-review

  5. Applying fundamental analysis and neural networks in the Australian Stockmarket

    Vanstone, B. J., Finnie, G. & Tan, C., 2004, p. 206-211.

    Research output: Contribution to conference › Paper

  6. Australian momentum: Performance, capacity and the GFC effect

    Vanstone, B. J. & Hahn, T., 1 Mar 2017, In: Accounting and Finance . 57, 1, p. 261-287 27 p.

    Research output: Contribution to journal › Article › peer-review

  7. 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 proceeding › Chapter

  8. Big Data and ICU scoring systems

    Todd, J., Richards, B., Vanstone, B. J. & Gepp, A., 21 Jul 2017.

    Research output: Contribution to conference › Paper

  9. Bond Business School, Bond University and intelliHQ

    Vanstone, B. J. & Gepp, A., 21 Jul 2017.

    Research output: Contribution to conference › Paper

  10. 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 proceeding › Conference contribution

  11. Consumption pattern, financial literacy and financial well-being: the course of retirement

    Xue, R., Gepp, A., Stern, S., O'Neill, T. & Vanstone, B. J., 1 Jul 2018.

    Research output: Contribution to conference › Paper

  12. 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 proceeding › Conference contribution

  13. Creating trading systems with fundamental variables and neural networks: The Aby case study

    Vanstone, B., Finnie, G. & Hahn, T., Dec 2012, In: Mathematics and Computers in Simulation. 86, p. 78-91 14 p.

    Research output: Contribution to journal › Article › peer-review

  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 proceeding › Chapter

  16. E-pub ahead of print

    Deep learning applications in investment portfolio management: a systematic literature review

    Novykov, V., Bilson, C., Gepp, A., Harris, G. & Vanstone, B., 18 Dec 2023, (E-pub ahead of print) In: Journal of Accounting Literature.

    Research output: Contribution to journal › Article › peer-review

  17. 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 proceeding › Conference contribution

  18. Designing stock market trading systems: With and without soft computing

    Vanstone, B. & Hahn, T., 2010, Harriman House Publishing.

    Research output: Book/Report › Book

  19. 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 proceeding › Conference contribution

  20. Do News and Sentiment play a role in Stock Price Prediction?

    Vanstone, B. J., Gepp, A. & Harris, G., 1 Nov 2019, In: Applied Intelligence. 49, 11, p. 3815-3820 6 p.

    Research output: Contribution to journal › Article › peer-review

  21. Do Wall Street fundamentals work in the ASX200?

    Vanstone, B. J. & Agrawal, A., 2006, In: The Australasian Journal of Applied Finance. 4, p. 2-7 6 p.

    Research output: Contribution to journal › Article › peer-review

  22. Published

    Do initial stop-losses stop losses?

    Vanstone, B. J., 2008, In: The Australasian Journal of Applied Finance. 4, p. 5-8 4 p.

    Research output: Contribution to journal › Article › peer-review

  23. Published

    Empirical validation of ELM trained neural networks for financial modelling

    Novykov, V., Bilson, C., Gepp, A., Harris, G. & Vanstone, B., Jan 2023, In: Neural Computing and Applications. 35, 2, p. 1581-1605 25 p.

    Research output: Contribution to journal › Article › peer-review

  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 proceeding › Conference 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 proceeding › Conference contribution

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