• Bond University, Bond Business School

    4229 Gold Coast

    Australia

  • 120 Citations
  • 4 h-Index
20062019
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Research Output 2006 2019

Abstract

Addressing the problem of financial statement fraud: Better detection through improved models

Gepp, A., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Fraud detection
Financial statement fraud
Factors
Fraud
Selection process

A new framework for selecting variables in fraud detection research

Gepp, A. & Kumar, K., 2015, p. 1-1. 1 p.

Research output: Contribution to conferenceAbstractResearchpeer-review

Fraud detection
Fraud
Financial statement fraud
Common factors
Industry

Big Data and ICU Scoring Systems

Todd, J., Gepp, A., Vanstone, B. J. & Richards, B., 2017, p. 47-48. 2 p.

Research output: Contribution to conferenceAbstractResearchpeer-review

Open Access
APACHE
Benchmarking
Gold
Calibration

Detecting fraud in corporate financial statements using trees and forests

Kumar, K., Gepp, A. & Bhattacharya, S., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Evaluating the threat posed by quantum computing to the security of online business systems

Harris, G. & Gepp, A., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

quantum computation
quantum mechanics
attack
histories
on-line systems

Financial distress prediction: A cost-sensitive study using accounting ratios that compares multiple modelling techniques

Gepp, A. & Kumar, K., 2014.

Research output: Contribution to conferenceAbstractResearchpeer-review

Financial Distress Prediction in the Australian Mining Industry using Tree-Based Stochastic Techniques

Halteh, K., Gepp, A. & Kumar, K., Nov 2017.

Research output: Contribution to conferenceAbstractResearchpeer-review

Prediction
Mining industry
Financial distress
Boosting
Gradient

Financial distress prediction using cutting-edge statistical techniques

Halteh, K., Gepp, A. & Kumar, K., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Prediction
Financial distress
Industry
Financial data
Owners

Financial distress prediction using decision trees and survival analysis

Gepp, A. & Kumar, K., 2012.

Research output: Contribution to conferenceAbstractResearchpeer-review

How do you best facilitate MBA students to discover how they best learn in an online environment?

Gepp, A., 2013.

Research output: Contribution to conferenceAbstractResearchpeer-review

Improved models to detect fraud in financial statements

Gepp, A., Kumar, K. & Bhattacharya, S., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Financial statements
Fraud
Costs
Financial statement fraud
Median

Improving models that detect financial statement fraud: A new framework to guide variable selection

Gepp, A., Kumar, K. & Bhattacharya, S., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Financial statement fraud
Variable selection
Fraud detection
Factors
Fraud

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 conferenceAbstractResearch

Fraud detection
Integrity
Investing
Financial statement fraud
Fraud

The fraud detection triangle: A new framework for selecting variables in fraud detection research

Gepp, A., Kumar, K. & Bhattacharya, S., 2015.

Research output: Contribution to conferenceAbstractResearchpeer-review

Fraud detection
Financial statement fraud
Fraud
Selection process

The fraud detection triangle: A new framework for fraud detection research

Gepp, A., Kumar, K. & Bhattacharya, S., 2016.

Research output: Contribution to conferenceAbstractResearchpeer-review

Using Customer Information and Bayesian Techniques to Enhance Persistence Modelling

Johnman, M., Gepp, A. & Vanstone, B. J., Jun 2019, p. 87.

Research output: Contribution to conferenceAbstractResearchpeer-review

Persistence
Modeling
Customer information
Marketing effectiveness
Inclusion

Using decision trees to detect financial statement fraud

Gepp, A. & Kumar, K., 2014.

Research output: Contribution to conferenceAbstractResearch

Article
39 Downloads (Pure)

A comparative analysis of decision trees vis-a-vis other computational data mining techniques in automotive insurance fraud detection

Gepp, A., Wilson, J. H., Kumar, K. & Bhattacharya, S., 1 Jul 2012, In : Journal of Data Science. 10, 3, p. 537-561 25 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Insurance
Decision trees
Data mining
Industry
11 Citations (Scopus)
115 Downloads (Pure)

A review of procedures to evolve quantum algorithms

Gepp, A. & Stocks, P., Jun 2009, In : Genetic Programming and Evolvable Machines. 10, 2, p. 181-228 48 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Quantum Algorithms
Evolutionary Algorithms
Evolutionary algorithms
Quantum Computer
Quantum computers
20 Citations (Scopus)
680 Downloads (Pure)

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 journalArticleResearchpeer-review

File
Auditing
Modeling
Genealogy
Financial fraud
Financial distress
62 Citations (Scopus)
2 Downloads (Pure)

Business failure prediction using decision trees

Gepp, A., Kumar, K. & Bhattacharya, S., Sep 2010, In : Journal of Forecasting. 29, 6, p. 536-555 20 p.

Research output: Contribution to journalArticleResearchpeer-review

Decision trees
Decision tree
Prediction
Industry
Prediction Model

Do News and Sentiment play a role in Stock Price Prediction?

Vanstone, B. J., Gepp, A. & Harris, G., 9 Apr 2019, In : Applied Intelligence.

Research output: Contribution to journalArticleResearchpeer-review

Network architecture
Learning systems
Neural networks

Financial Applications of Semidefinite Programming: A Review and Call for Interdisciplinary Research

Gepp, A., Harris, G. & Vanstone, B. J., 27 Sep 2019, In : Accounting and Finance. 29 p.

Research output: Contribution to journalArticleResearchpeer-review

Finance
Interdisciplinary research
Semidefinite programming
Optimization problem
Option pricing
154 Downloads (Pure)

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

Halteh, K., Kumar, K. & Gepp, A., 11 Jun 2018, In : Managerial Finance. 44, 6, p. 759-773 15 p.

Research output: Contribution to journalArticleResearchpeer-review

File
Prediction
Islamic financial institutions
Financial distress
Islamic banking
Assets
4 Citations (Scopus)
84 Downloads (Pure)

Financial literacy amongst elderly Australians

Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., Apr 2019, In : Accounting and Finance. 59, S1, p. 887-918 32 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Financial literacy
Educational attainment
Wealth
Income
Politicians

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 Sep 2019, In : Accounting and Finance.

Research output: Contribution to journalArticleResearchpeer-review

Consumption patterns
Well-being
Financial literacy
Interaction
Consumption behavior

Improving Mortality Models in the ICU with High-Frequency Data

Todd, J., Gepp, A., Richards, B. & Vanstone, B. J., Sep 2019, In : International Journal of Medical Informatics. 129, p. 318-323 6 p.

Research output: Contribution to journalArticleResearchpeer-review

Intensive Care Units
APACHE
Mortality
Calibration
Arterial Pressure
66 Downloads (Pure)

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., 136.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Dialysis
Delivery of Health Care
Ghana
Health Services
Inpatients
3 Citations (Scopus)
88 Downloads (Pure)

Predicting FTSE 100 returns and volatility using sentiment analysis

Johnman, M., Vanstone, B. J. & Gepp, A., Nov 2018, In : Accounting and Finance. 58, S1, p. 253-274 22 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Sentiment
Sentiment analysis
News
Excess returns
Excess volatility

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 journalArticleResearchpeer-review

Data Mining
Automation
Referral and Consultation
Personnel
Processing

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., 23 Nov 2019, In : Crime, Law and Social Change.

Research output: Contribution to journalArticleResearchpeer-review

Fraud
Numismatics
fraud
finance
Financial Management
14 Downloads (Pure)

The role of survival analysis in financial distress prediction

Gepp, A. & Kumar, K., 1 Jun 2008, In : International Research Journal of Finance and Economics. 16, 16, p. 13-34 22 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Survival analysis
Prediction
Business failures
Financial distress
Failure prediction
1 Citation (Scopus)
74 Downloads (Pure)

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

Halteh, K., Kumar, K. & Gepp, A., 16 May 2018, In : Risks. 6, 2, 13 p., 55.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Credit risk
Stochastic model
Turnover
Boosting
Gradient
Chapter

Audit Data Analytics

Gepp, A. & Johnson, R., 2019, Auditing: A Practical Approach with Data Analytics. Johnson, R. N. & Wiley, L. D. (eds.). New York: John Wiley & Sons, p. 273-324 52 p.

Research output: Chapter in Book/Report/Conference proceedingChapterEducationpeer-review

Audit
Needle
Auditors
Disposal
Anomaly
63 Downloads (Pure)

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.). Cham: Springer, p. 626-632 7 p. (Lecture Notes in Computer Science (LNCS); vol. 10868).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Open Access
File
distribution
method

Business failure prediction using statistical techniques: A review

Gepp, A. & Kumar, K., 2012, Some recent developments in statistical theory and applications. Kumar, K. & Chaturvedi, A. (eds.). Florida: Brown Walker Press, p. 1-25 25 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Industry
Decision trees

Credit Rating Forecasting Using Machine Learning Techniques

Wallis, M., Kumar, K. & Gepp, A., Feb 2019, Managerial Perspectives on Intelligent Big Data Analytics. Sun, Z. (ed.). IGI Global, p. 180-198 19 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Credit rating
Machine learning
Rating
Comparative analysis
Managers
3 Downloads (Pure)

How to Improve Teaching Using Blended Learning

Gepp, A. & Kumar, K., 2019, Theoretical and Practical Approaches to Innovation in Higher Education. IGI Global, p. 80-90 11 p.

Research output: Chapter in Book/Report/Conference proceedingChapterEducationpeer-review

File
Blended Learning
Teaching
dollar
data analysis
statistics
1 Citation (Scopus)
56 Downloads (Pure)

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.). Cham: Springer, p. 551-559 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10868 LNAI).

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Open Access
File
Stock Prices
Autoregressive Model
Network Model
Neural Networks
Prediction
Conference contribution
18 Citations (Scopus)
77 Downloads (Pure)

Predicting financial distress: A comparison of survival analysis and decision tree techniques

Gepp, A. & Kumar, K., 1 Jan 2015, Eleventh International Conference on Communication Networks, ICCN 2015/India eleventh International Conference on Data Mining and Warehousing ICDMW 2015/India eleventh International Conference on Image and Signal Processing, ICISP 2015. Shenoy, PD., Iyengar, SS., Raja, KB., Venugopal, KR., Buyya, R. & Patnaik, LM. (eds.). Elsevier, Vol. 54. p. 396-404 9 p. (Procedia Computer Science).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Open Access
File
Editorial

Guest editorial

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

Research output: Contribution to journalEditorialResearch

Magazine Article
15 Downloads (Pure)

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

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

Research output: Contribution to journalMagazine ArticleResearch

Open Access
File
economic sanction
fraud
currency
money laundering
terrorism
Other

Consumption pattern, financial literacy and financial well-being: the course of retirement

Xue, R., Gepp, A., Stern, S., O'Neill, T. & Vanstone, B. J., Jul 2018.

Research output: Contribution to conferenceOtherResearchpeer-review

Financial literacy
Consumption patterns
Well-being
Retirement
Factors

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 conferenceOtherResearch

Shame
Abnormal returns
Announcement
Disclosure
Event study
Other contribution

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

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

Research output: Other contributionResearchpeer-review

Students
Industry
Big data
Paper

Business failure prediction using survival analysis

Gepp, A. & Kumar, K., 2006, p. 318-332. 15 p.

Research output: Contribution to conferencePaperResearchpeer-review

Industry
Poster

Big Data and ICU scoring systems

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

Research output: Contribution to conferencePosterResearch

APACHE
Benchmarking
Intensive Care Units
Research
3 Downloads (Pure)

Financial Statement Fraud Detection and Possible link to Company Failure

Gepp, A., Kumar, K. & Bhattacharya, S., 2012.

Research output: Contribution to conferencePosterResearch

Open Access
File
Presentation

Bond Business School, Bond University and intelliHQ

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

Research output: Contribution to conferencePresentationResearch

Industry
Students
Intensive care units
Time series
Teaching