Research Portal

Professor Adrian Gepp

Professor in Data Analytics

Affiliations

Links

ORCID: 0000-0003-1666-5501

Contact info

Email a.gepp@bangor.ac.uk

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  1. Article › Research › Peer-reviewed

  2. A Big Data Framework to Address Building Sum Insured Misestimation

    Roberts, C., Gepp, A. & Todd, J., 28 Aug 2023, In: Big Data Research. 33, 100396.

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

  3. A Review of Money Laundering Literature: The State of Research in Key Areas

    Tiwari, M., Gepp, A. & Kumar, K., 18 Mar 2020, In: Pacific Accounting Review. 32, 2, p. 271-303 33 p.

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

  4. 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

  5. E-pub ahead of print

    An investigation of data-driven player positional roles within the Australian Football League Women's competition using technical skill match-play data

    Van der Vegt, B., Gepp, A., Keogh, J. W. L. & Farley, J. B., 5 Oct 2023, (E-pub ahead of print) In: International Journal of Sports Science and Coaching.

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

  6. Big data techniques in auditing research and practice: Current trends and future opportunities

    Gepp, A., Linnenluecke, M. K. & O'Neill, T. J., 1 Jun 2018, In: Journal of Accounting Literature. 40, p. 102-115 14 p.

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

  7. Published

    Can economic sanctions lead to fraud? Nations might turn to virtual currencies if slapped with restrictions

    Tiwari, M., Gepp, A. & Kumar, K., 1 May 2019, In: Fraud Magazine. 34, 3

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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. Accepted/In press

    Exploring the interplay between equity groups, mental health and perceived employability amongst students at a public Australian university

    Gill, C., Todd, J., Bennett, D. & Gepp, A., 1 Feb 2024, (Accepted/In press) In: Research in Higher Education.

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

  14. Published

    Factors influencing the choice of technique to launder funds: The APPT framework

    Tiwari, M., Ferrill, J., Gepp, A. & Kumar, K., Sept 2023, In: Journal of Economic Criminology. 1, 100006.

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

  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. 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

  17. 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

  18. 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

  19. Financial-distress prediction of Islamic banks using tree-based stochastic techniques

    Halteh, K., Kumar, K. & Gepp, A., 22 Jun 2018, In: Managerial Finance. 44, 6, p. 759-773 15 p.

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

  20. Global money laundering appeal index: application of principal component analysis

    Tiwari, M., Gepp, A. & Kumar, K., 20 Oct 2021, In: Journal of Money Laundering Control. 26, 1

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

  21. Guest editorial

    Dunstan, K. & Gepp, A., 1 Apr 2018, In: Pacific Accounting Review. 30, 2, p. 130-134 5 p.

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

  22. 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

  23. 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

  24. 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

  25. 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

  26. Lifting the Numbers Game: Identifying key input variables and a best-performing model to detect financial statement fraud

    Gepp, A., Kumar, K. & Bhattacharya, S., 1 Sept 2021, In: Accounting and Finance . 61, 3, p. 4601-4638 38 p.

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

  27. Methods of performance analysis in women's Australian football: A scoping review

    Van der Vegt, B., Gepp, A., Keogh, J. W. L. & Farley, J. B., 13 Mar 2023, In: PeerJ. 11, e14946.

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

  28. 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

  29. 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

  30. E-pub ahead of print

    Pitching business school researcher profiles

    Faff, R., Mathuva, D., Brosnan, M., Hoffmann, S., Albu, C., Ali, S., Axelsen, M., Cornwell, N., Gepp, A., Gill, C., Honey, K., Malik, I., Mehrotra, V., Moses, O., Ratiu, R. V., Tan, D. & Tuszkiewicz, M. A., 21 Sept 2023, (E-pub ahead of print) In: Journal of Accounting Literature.

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

  31. 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

  32. Published

    Research ideas matter: Guidance for research students and early career researchers

    Duncan, K., Gepp, A., Craig, J. & O'Neill, H., 1 Dec 2023, In: Pacific-Basin Finance Journal. 82, 102153.

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

  33. E-pub ahead of print

    Taking the hunch out of the crunch: A framework to improve variable selection in models to detect financial statement fraud

    Gepp, A., Kumar, K. & Bhattacharya, S., 27 Oct 2023, (E-pub ahead of print) In: Accounting and Finance .

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

  34. 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

  35. 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

  36. The future of raising finance - a new opportunity to commit fraud: a review of initial coin offering (ICOs) scams

    Tiwari, M., Gepp, A. & Kumar, K., 1 May 2020, In: Contemporary Crises. 73, 4, p. 417-441 25 p.

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

  37. Using Cutting-Edge Tree-Based Stochastic Models to Predict Credit Risk

    Halteh, K., Kumar, K. & Gepp, A., 16 May 2018, In: Risks. 6, 2, 55.

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

  38. Using Machine Learning Techniques to Assess the Financial Impact of the COVID-19 Pandemic on the Global Aviation Industry

    Halteh, K., AlKhoury, R., Adel Ziadat, S., Gepp, A. & Kumar, K., Mar 2024, In: Transportation Research Interdisciplinary Perspectives. 101043.

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

  39. Chapter › Research › Not peer-reviewed

  40. 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

  41. Credit Rating Forecasting Using Machine Learning Techniques

    Wallis, M., Kumar, K. & Gepp, A., 1 May 2022, Research Anthology on Machine Learning Techniques, Methods, and Applications. United States: IGI Global, p. 734-752 19 p.

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

  42. How to Improve Teaching Using Blended Learning

    Gepp, A. & Kumar, K., 27 Dec 2019, Theoretical and Practical Approaches to Innovation in Higher Education. Makewa, L. N. (ed.). United States: IGI Global, p. 80-90 11 p.

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

  43. Text Box 7.1 Fraud and corporate psychopathy

    Croom, S., Erdelyi, R., Gepp, A. & Mills, R., 2020, Corporate Psychopathy. Fritzon, K., Brooks, N. & Croom, S. (eds.). United Kingdom: Palgrave Macmillan, p. 201-202 2 p.

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

  44. 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

  45. Chapter › Research › Peer-reviewed
  46. Published

    Accountants’ Attitudes to Digital Technology: A Barrier to the Digital Transformation of Accounting?

    Busulwa, R., Birt, J., Gepp, A. & Oates, G., Feb 2024, Digital Transformation in Accounting and Auditing: Navigating Technological Advances for the Future. Springer, p. 153-182

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

  47. Audit Data Analytics

    Gepp, A. & Johnson, R., 1 Sept 2021, Auditing: A Practical Approach with Data Analytics. Johnson, R. N. & Wiley, L. D. (eds.). 2nd ed. United States: John Wiley & Sons

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

  48. Published

    Lost in Translation? The Required Vs. Actual Technology Skills of Accountants

    Busulwa, R., Birt, J., Gepp, A. & Oates, G., Feb 2024, Digital Transformation in Accounting and Auditing: Navigating Technological Advances for the Future. Springer, p. 121-151

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

  49. 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

  50. Paper › Research › Not peer-reviewed

  51. Big Data and ICU scoring systems

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

    Research output: Contribution to conference › Paper

  52. Bond Business School, Bond University and intelliHQ

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

    Research output: Contribution to conference › Paper

  53. 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

  54. 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

  55. 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

  56. Performance analysis in women's Australian football: A review of current literature, challenges, and its potential for future research

    Van der Vegt, B., Farley, J. B., Gepp, A. & Keogh, J. W. L., 1 Feb 2022.

    Research output: Contribution to conference › Paper

  57. 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

  58. Published

    Shell Companies: Using a hybrid technique to detect illicit activities

    Tiwari, M., Gepp, A. & Kumar, K., 6 Jul 2021.

    Research output: Contribution to conference › Paper

  59. 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

  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 conference › Paper

  61. Paper › Research › Peer-reviewed

  62. Bankruptcy Prediction of Australian SMEs and Large Companies

    Halteh, K., Gepp, A. & Kumar, K., 1 Jun 2020.

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

  63. 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

  64. Money Laundering: Using a hybrid approach to detect illicit shell companies

    Tiwari, M., Gepp, A. & Kumar, K., 1 Jun 2020, p. 35.

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

  65. Published
  66. 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

  67. Published

    Using Data Analytics to Distinguish Legitimate and Illegitimate Shell Companies

    Gepp, A., Tiwari, M. & Kumar, K., Apr 2023.

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

  68. 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

  69. Article › Research
  70. Published

    AI threatens to add to the growing wave of fraud but is also helping tackle it

    Jones, L. & Gepp, A., 10 Aug 2023, The Conversation.

    Research output: Contribution to specialist publication › Article

  71. Other contribution › Research › Not peer-reviewed

  72. An Introductory Note on Big Data and Data Analytics for Accountants and Auditors

    Gepp, A. & Parker, M., 2018, Ivey Publishing.

    Research output: Other contribution

  73. 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

  74. 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

  75. Other contribution › Research › Peer-reviewed

  76. 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

  77. Review article › Research › Peer-reviewed

  78. Advanced Statistics with Applications in R, Eugene Demidenko, 2020, Wiley Series in Probability and Statistics, John Wiley and Sons USA

    Gepp, A., 5 Jul 2021, In: Journal of the Royal Statistical Society Series A (Statistics in Society). 184, 4, p. 1610-1611

    Research output: Contribution to journal › Review article › peer-review