1. 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

2. 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

3. 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 › peer-review

4. 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

5. 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 journal › Article › peer-review

6. 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

7. 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

8. 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 journal › Article › peer-review

9. 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 journal › Article › peer-review

10. 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 journal › Article › peer-review

11. Published

    Advancing Smart Tourism Destinations: High-Resolution Data in Tourism Demand Forecasting

    Horrocks, M., Gepp, A., Todd, J. & Vanstone, B., Sept 2024.

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

12. Published

    Advancing Tourism Demand Forecasting: A practical high-frequency framework

    Horrocks, M., Gepp, A., Todd, J. & Vanstone, B., Sept 2024.

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

13. 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

14. 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

15. 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 journal › Article › peer-review

16. Published

    Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered report

    Cornwell, N., Bilson, C., Gepp, A., Stern, S. & Vanstone, B., Feb 2023, In: Pacific-Basin Finance Journal. 77, 101906.

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

17. Published

    The Role of Data Analytics within Operational Risk Management: A Systematic Review from the Financial Services and Energy Sectors

    Cornwell, N., Bilson, C. M., Gepp, A., Stern, S. & Vanstone, B. J., Jan 2023, In: Journal of the Operational Research Society. 74, 1, p. 374-402

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

18. Published

    Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered study

    Cornwell, N., Bilson, C., Gepp, A., Stern, S. & Vanstone, B., Jun 2023, In: Pacific-Basin Finance Journal. 79, 102011.

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

19. 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

20. 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

21. 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

22. 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

23. 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

24. 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

25. 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

26. Estimation of a term structure model of carbon prices through state spaces methods: a pitch

    Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 8 Feb 2021, In: Accounting Research Journal. 34, 1, p. 106-112

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