Professor Bruce Vanstone

Head of Bangor Business School

  1. 2003
  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 proceedingConference contributionpeer-review

  3. 2004
  4. 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 conferencePaper

  5. 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

  6. 2005
  7. 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

  8. 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

  9. 2006
  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 proceedingConference contribution

  11. 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 journalArticlepeer-review

  12. 2008
  13. 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, S., Gelman, L., Hukins, D., Hunter, A. & Korsunsky, A. (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

  14. 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 journalArticlepeer-review

  15. 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

  16. 2009
  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 proceedingConference contribution

  18. 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 journalArticlepeer-review

  19. 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

  20. 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 journalArticlepeer-review

  21. 2010
  22. Designing stock market trading systems: With and without soft computing

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

    Research output: Book/ReportBook

  23. 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

  24. 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 conferencePaper

  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 journalArticlepeer-review

  26. 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 journalArticlepeer-review

  27. 2011
  28. 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 proceedingConference contribution

  29. 2012
  30. 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

  31. 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

  32. 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

  33. 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 journalArticlepeer-review

  34. 2013
  35. 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

  36. 2014
  37. 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 proceedingConference contribution

  38. 2015
  39. 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 journalArticlepeer-review

  40. 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

  41. 2017
  42. 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 journalArticlepeer-review

  43. Big Data and ICU scoring systems

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

    Research output: Contribution to conferencePaper

  44. Bond Business School, Bond University and intelliHQ

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

    Research output: Contribution to conferencePaper

  45. 2018
  46. 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 conferencePaper

  47. 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

  48. 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

  49. 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

  50. 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 conferencePaper

  51. 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 conferencePaper

  52. 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

  53. 2019
  54. Harnessing Investor Sentiment Using Big Data Analytics

    Johnman, M., Gepp, A. & Vanstone, B. J., 2019, In: The Australasian Journal of Applied Finance. 2019, 3

    Research output: Contribution to journalArticlepeer-review

  55. 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

  56. 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 journalArticlepeer-review

  57. 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 conferencePaper

  58. 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 journalArticlepeer-review

  59. Modelling momentum winner/loser asymmetry: the sources of winner and loser returns in the ASX200 and S&P500

    Inglis, N., Vanstone, B. J. & Hahn, T., 1 Apr 2019, In: Accounting and Finance . 59, S1, p. 657-684 28 p.

    Research output: Contribution to journalArticlepeer-review

  60. 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 conferencePaper

  61. 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 journalArticlepeer-review

  62. Financial Applications of Semidefinite Programming: A Review and Call for Interdisciplinary Research

    Gepp, A., Harris, G. & Vanstone, B. J., 27 Sept 2019, In: Accounting and Finance .

    Research output: Contribution to journalArticlepeer-review

  63. 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 journalArticlepeer-review

  64. 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 journalArticlepeer-review

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