Research Portal

Professor Bruce Vanstone

Head of Bangor Business School

Affiliations

ORCID: 0000-0002-3977-2468
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  1. Book › Research › Not peer-reviewed

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

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

    Research output: Book/Report › Book

  3. Other contribution › Research › Peer-reviewed

  4. LSMRealOptions: Value American and Real Options Through LSM Simulation

    Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 26 Jun 2021

    Research output: Other contribution › peer-review

  5. Other contribution › Research › Not peer-reviewed

  7. FKF.SP: Fast Kalman Filtering Through Sequential Processing

    Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C., Vanstone, B. J., Luethi, D., Erb, P., Otziger, S. & Smith, P., 18 Dec 2020

    Research output: Other contribution

  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. NFCP: N-Factor Commodity Pricing Through Term Structure Estimation

    Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 13 Jan 2021

    Research output: Other contribution

  10. Paper › Research › Peer-reviewed

  11. Modelling Oil and Copper Commodity Prices Through Term Structure Estimation: New R Package NFCP useful in future commodity pricing research

    Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 1 Jul 2021.

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

  12. Momentum Investment Strategies

    Vanstone, B. J., 24 Oct 2020.

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

  13. 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

  14. Variable Transformation to a 2x2 domain space for Edge Matching Puzzles

    Aspinall, T., Gepp, A., Harris, G. & Vanstone, B. J., 1 Sept 2020.

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

  15. Paper › Research › Not peer-reviewed

  16. 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

  17. Big Data and ICU scoring systems

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

    Research output: Contribution to conference › Paper

  18. Bond Business School, Bond University and intelliHQ

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

    Research output: Contribution to conference › Paper

  19. 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

  20. 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

  21. Market reactions to ASIC media releases: abnormal returns around ASIC “Name and Shame” disclosures

    Hall, L., Earea, D., Gepp, A., Harris, G., Kelly, S. & Vanstone, B. J., 1 Jul 2018.

    Research output: Contribution to conference › Paper

  22. 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

  23. 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

  24. 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

  25. Using Customer Information and Bayesian Techniques to Enhance Persistence Modelling

    Johnman, M., Gepp, A. & Vanstone, B. J., 1 Jun 2019, p. 87.

    Research output: Contribution to conference › Paper

  26. Conference contribution › Research › Peer-reviewed

  27. 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

  28. Conference contribution › Research › Not peer-reviewed

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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 proceeding › Conference contribution

  37. 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

  38. 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

  39. Theory identity: A machine-learning approach

    Larsen, K. R., Hovorka, D., West, J., Birt, J., Pfaff, J. R., Chambers, T. W., Sampedro, Z. R., Zager, N. & Vanstone, B., 2014, Proceedings of the 47th Annual Hawaii International Conference on System Sciences, HICSS 2014. United States: IEEE Computer Society Press, p. 4639-4648 10 p.

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

  40. 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

  41. Chapter › Research › Peer-reviewed

  42. 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 proceeding › Chapter › peer-review

  43. Chapter › Research › Not peer-reviewed

  44. 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

  45. 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

  46. 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

  47. 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

  48. Article › Research › Peer-reviewed

  49. 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

  50. 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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

  58. 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

  59. 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

  60. Estimation of a Term Structure Model of Carbon Prices through State Space Methods: The European Union Emissions Trading Scheme

    Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 1 Jun 2021, In: Accounting and Finance . 61, 2, p. 3797-3819

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

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