• Bond University, Bond Business School

    4229 Gold Coast

    Australia

  • 75 Citations
  • 4 h-Index
20062018
If you made any changes in Pure these will be visible here soon.

Personal profile

Research interests

My research interest is in using big data and predictive modelling to reveal unique insights about problems of economic and social importance. My research spans fraud detection, fintech, health analytics, business failure prediction and workplace design. I am also an active inaugural member of Bond University's Centre for Actuarial and Financial Big Data Analytics.

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 3 Similar Profiles
Industry Engineering & Materials Science
Decision trees Engineering & Materials Science
Insurance Engineering & Materials Science
Network architecture Engineering & Materials Science
Data mining Engineering & Materials Science
Learning systems Engineering & Materials Science
Automation Engineering & Materials Science
Prediction Business & Economics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2006 2018

5 Citations

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

Guest editorial

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

Research output: Contribution to journalEditorialResearch

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
1 Citations

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

Sentiment
Sentiment analysis
News
Excess returns
Excess volatility

Special Issue: Forensic Accounting Teaching and Research

Dunstan, K. (ed.) & Gepp, A. (ed.), Apr 2018, In : Pacific Accounting Review. 30, 2

Research output: Contribution to journalSpecial issueResearch

Activities 2009 2018

Pacific Accounting Review (Journal)

Adrian Gepp (Editor)
20162018

Activity: Publication peer-review and editorial workEditorial Board Member

Financial Fragility, Systemic Risk and Financial Systems

Adrian Gepp (Examiner)
2018

Activity: ExaminationThesis Examination

Bond Business Links

Adrian Gepp (Participant)
2016

Activity: Participating in or organising an eventOrganising a conference, workshop, ...

Accounting & Finance Association of Australia and New Zealand (External organisation)

Adrian Gepp (Member)
2016 → …

Activity: MembershipProfessional Memberships

Queensland Police Service

Adrian Gepp (Attendee)
2016

Activity: Professional DevelopmentExternal Professional Development

Student theses

Financial statement fraud detection using supervised learning methods

Author: Gepp, A., 10 Oct 2015

Supervisor: Kumar, K. (Supervisor) & Bhattacharya, S. (External person) (Supervisor)

Student thesis: Doctoral Thesis

File