Adrian Gepp - Research outputs

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

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

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

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

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

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

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

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

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

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

Published

Successes, failures and lessons learned from developing Data Analytics programs within Business Schools in multiple countries, one of which won a national award

Gepp, A., Sept 2023.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Professor Adrian Gepp

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