Organization profile

Profile Information

Bond University commenced its programs in Actuarial Science in 2015, and has made a number of academic appointments which serve to strengthen our core capabilities in Big Data, as well as the specific applications of Big Data in areas such as Actuarial Science, Finance and Informatics.  Under the leadership of Professor Terry O’Neill, the establishment of a University Centre in Actuarial and Financial Big Data Analytics will help Bond University establish itself as a significant player in the Big Data and Analytics research space.

Members of the centre have specific big data analytics interests in finance, machine learning, risk management and climate change, amongst others.  Members of the centre have a genuine desire to collaborate and contribute their complimentary skills on a range of innovative big data projects.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

adolescent Social Sciences
Fuzzy Statistics Mathematics
Time Series Analysis Mathematics
Extremal Optimization Mathematics
Official Statistics Mathematics
alcohol consumption Social Sciences
Vector Autoregressive Model Mathematics
Bilinear Model Mathematics

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Profiles

Photo of Adrian Gepp

Adrian Gepp

Person: Teaching and Research

20062018
Photo of Julia Henker

Julia Henker

Person: Teaching and Research

20052018
Photo of Simone Kelly

Simone Kelly

Person: Teaching and Research

20042018

Research Output 1986 2018

Big Data and Social Sciences: a Practical Guide to Methods and Tools

Kumar, K., Jun 2018, In : Journal of the Royal Statistical Society. Series A: Statistics in Society. 181, 3, p. 916 1 p.

Research output: Contribution to journalBook/Film/Article reviewResearch

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

Business Distress Prediction Using Bayesian Logistic Model for Indian Firms

Shrivastava, A., Kumar, K. & Kumar, N., 9 Oct 2018, In : Risks. 6, 4, 15 p., 113.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Distress
Logistic model
Prediction
Business sector
Bayesian modeling

Activities 2009 2018

Financial Fragility, Systemic Risk and Financial Systems

Adrian Gepp (Examiner)
2018

Activity: ExaminationThesis Examination

Accounting and Finance (Journal)

Simone Kelly (Editor)
2017 → …

Activity: Publication peer-review and editorial workEditorial Board Member

Pacific Accounting Review (Journal)

Adrian Gepp (Editor)
20162018

Activity: Publication peer-review and editorial workEditorial Board Member

Student theses

Experiments with property driven monitoring of C programs

Author: Vorobyov, K., 10 Oct 2015

Supervisor: Krishnan, P. (Supervisor), Randall, M. (Supervisor) & Stocks, P. (Supervisor)

Student thesis: Doctoral Thesis

File

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

Financing, Firm Size and Productive Efficiency: the Effect of Family Ownership

Author: Barbera, F., 8 Feb 2014

Supervisor: Falvey, R. (Supervisor), Moores, K. (Supervisor) & Rajaguru, G. (Supervisor)

Student thesis: Doctoral Thesis

File