Research Portal

Professor Adrian Gepp

Professor in Data Analytics

Affiliations

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ORCID: 0000-0003-1666-5501

Contact info

Email a.gepp@bangor.ac.uk

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  1. 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

  2. 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

  3. 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

  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. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. Published

    世界で深刻化する食品犯罪、産地偽装問題　AIとブロックチェーンでの対策に期待

    Gepp, A. & Tiwari, M., 2024, Project Design Online.

    Research output: Contribution to specialist publication › Article

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

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

    Research output: Other contribution

  21. Published

    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., Jun 2024, In: Accounting and Finance . 64, 2, p. 1569-1588

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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. Published

    Food fraud is a growing economic and health issue – but AI and blockchain technology can help combat it

    Gepp, A. & Tiwari, M., 2 Apr 2024, The Conversation.

    Research output: Contribution to specialist publication › Article

  28. Published

  29. 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

  30. Published

    The Impact of Housing Tenure on Financial Wellbeing Among Elderly Australians

    Gignac, G., Gepp, A., O'Neill, T. J. & Xue, R., 27 Dec 2023, In: Social Indicators Research. 171, p. 655-675

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

  31. Published

    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 Sept 2024, In: Research in Higher Education. 65, 6, p. 1316-1339 24 p.

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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. E-pub ahead of print

    An investigation into accounting and business students’ employability beliefs

    Kercher, K., Todd, J., Gill, C., Bennett, D. & Gepp, A., 4 Apr 2024, (E-pub ahead of print) In: Accounting Education.

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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

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