Bruce Vanstone

Personal profile

Research interests

My research focuses on applying Big Data and predictive modelling techniques to difficult business problems. I have applied my predictive work in fields as diverse as health, logistics, finance and marketing. I am also particularly interested in finding better ways to apply machine learning techniques to investment modelling, and am interested in the rise of FinTech and Deep Learning.

I am also an active inaugural member of the Centre for Actuarial and Financial Big Data Analytics.

Statement for HDR students

My research focuses on applying Big Data and predictive modelling techniques to difficult business problems. I have applied my predictive work in fields as diverse as health, logistics, finance and marketing. I am also particularly interested in finding better ways to apply machine learning techniques to investment modelling, and am interested in the rise of FinTech and Deep Learning.

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Research Output

25 Article
13 Conference contribution
5 Presentation
4 Chapter
12 More

A Unifying Model for Statistical Arbitrage: Model Assumptions and Empirical Failure

Stephenson, J., Vanstone, B. J. & Hahn, T., 4 Apr 2020, In : Computational Economics.

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

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

Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., 2 Aug 2020, In : Australian Journal of Management.

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

Open Access

File

36 Downloads (Pure)

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 journal › Article › Research › peer-review

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

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

Research output: Contribution to conference › Abstract › Research

Open Access

File

5 Downloads (Pure)

Variable transformation to a 2×2 Domain Space for Edge Matching Puzzles

Aspinall, T., Gepp, A., Harris, G. & Vanstone, B. J., Sep 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: 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Kitakyushu, Japan, September 22-25, 2020, Proceedings. Fujita, H., Fournier-Viger, P., Ali, M. & Sasaki, J. (eds.). Cham: Springer, p. 210-221 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12144 LNAI).

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