Research Portal

Professor Bruce Vanstone

Head of Bangor Business School

Affiliations

ORCID: 0000-0002-3977-2468
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  1. The Financial Consequence of Integrity: Using Automated Fraud Detection for Investment

    Yee, A., Gepp, A., Kumar, K. & Vanstone, B. J., 2018.

    Research output: Contribution to conference › Paper

  2. Financial Literacy and Financial Decision-making: The mediating role of financial concerns

    Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 1 Apr 2019.

    Research output: Contribution to conference › Paper

  3. 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

  4. Financial well-being amongst elderly Australians: The role of consumption patterns and financial literacy

    Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 30 Sept 2019, In: Accounting and Finance .

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

  5. Financial Literacy and Financial Strategies: The mediating role of financial concerns

    Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 1 Aug 2021, In: Australian Journal of Management. 46, 3, p. 437-465

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

  6. Financial literacy amongst elderly Australians

    Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 1 Apr 2019, In: Accounting and Finance . 59, S1, p. 887-918 32 p.

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

  7. 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

  8. Momentum Investment using ETFs for smoother volatility and enhanced returns

    Vanstone, B. J., 27 Aug 2020, Australian Shareholders' Association.

    Research output: Other contribution

  9. 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 proceeding › Chapter

  10. 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

  11. Momentum Investment Strategies

    Vanstone, B. J., 24 Oct 2020.

    Research output: Contribution to conference › Paper › peer-review

  12. 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 proceeding › Chapter

  13. 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 journal › Article › peer-review

  14. 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 proceeding › Conference contribution

  15. 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 proceeding › Conference contribution

  16. Industry momentum: an exchange‐traded funds approach

    Vanstone, B. J., Hahn, T. & Earea, D., Sept 2021, In: Accounting and Finance . 61, 3, p. 4007-4024

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

  17. First steps in developing high-frequency trading models

    Vanstone, B. J. & Hahn, T., 2015, In: The Journal of Trading. 10, 2, p. 54-71 18 p.

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

  18. 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 proceeding › Conference contribution

  19. Bond Business School, Bond University and intelliHQ

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

    Research output: Contribution to conference › Paper

  20. 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

  21. 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

  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

  24. 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

  25. 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 journal › Article › peer-review

  26. 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

  27. 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

  28. Fundamental investment research - do US results apply to Australian investors?

    Vanstone, B. J. & Hahn, T., 2009, In: The Australasian Journal of Applied Finance. 4

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

  29. 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

  30. Enhancing stockmarket trading performance with ANNs

    Vanstone, B. & Finnie, G., 1 Sept 2010, In: Expert Systems with Applications. 37, 9, p. 6602-6610 9 p.

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

  31. 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

  32. Trading foreign currency using artificial neural network strategies

    Vanstone, B. & Finnie, G., 2011, Proceedings of the International Conference on Neural Computation Theory and Applications. Madani, K. (ed.). Germany: Springer, p. 163-167 5 p.

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

  33. 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

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

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

    Research output: Book/Report › Book

  35. 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

  36. 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

  37. 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 journal › Article › peer-review

  38. 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

  39. 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

  40. Producing actionable data-driven insights to improve athlete and team performance

    Van der Vegt, B., Gepp, A., Johnman, M. & Vanstone, B. J., 1 Feb 2020.

    Research output: Contribution to conference › Paper

  41. 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

  42. Published

    The Quest for Optimal Trade Execution: Statistical Models vs Reinforcement Learning

    Tonkin, I., Gepp, A., Harris, G. & Vanstone, B., Sept 2023.

    Research output: Contribution to conference › Paper › peer-review

  43. Published

    Improving decision making in the management of hospital readmissions using modern survival analysis techniques

    Todd, J., Gepp, A., Stern, S. & Vanstone, B., May 2022, In: Decision Support Systems. 156, 113747.

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

  44. Investigating Healthcare Contacts of Dialysis Patients by Age and Gender

    Todd, J., Gepp, A., Vanstone, B. J. & Richards, B., 27 Feb 2019, In: BMC Health Services Research. 19, 1, p. 1-8 8 p.

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

  45. 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 journal › Article › peer-review

  46. Big Data and ICU scoring systems

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

    Research output: Contribution to conference › Paper

  47. Improving Mortality Models in the ICU with High-Frequency Data

    Todd, J., Gepp, A., Richards, B. & Vanstone, B. J., 1 Sept 2019, In: International Journal of Medical Informatics. 129, p. 318-323 6 p.

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

  48. 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

  49. Predictable responses in currency markets to macroeconomic news: A trading system approach

    Schneller, W. & Vanstone, B. J., 2010, p. 1--26.

    Research output: Contribution to conference › Paper

  50. 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

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