Professor Adam Clements
Faculty of Business & Law,
School of Economics & Finance
Biography
Background Adam joined QUT as a lecturer in 2003 and was appointed at the Professorial level in April 2010. Prior to this, he was a sessional staff member and was employed in the Funds Management industry. Adam has supervised numerous postgraduate research students who have gone on to take both industry and academic positions. Adam's research has published in international journals such as The Journal of the American Statistical Association, Journal of Banking and Finance, International Journal of Forecasting and Journal of Financial Econometrics. Adam has been involved in various industry collaborations including parts and servicing forecasting, options strategies for retirement portfolios and forecasting risk in agricultural finance.Research interests
- Forecasting
- Financial econometrics
- Time-series econometrics
- Volatility and risk
Personal details
Positions
- Head of School
Faculty of Business & Law,
School of Economics & Finance - Professor
Faculty of Business & Law,
School of Economics & Finance
Keywords
Forecasting, Risk, Volatility, Econometrics, Finance
Research field
Banking, finance and investment
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020
Qualifications
- Doctor of Philosophy (Queensland University of Technology)
- BBus(Hons) (Queensland University of Technology)
Teaching
Teaching interests
- Finance
- Econometrics
- Financial econometrics
Publications
- Becker, R., Clements, A. & Mcclelland, A. (2009). The jump component of S&P 500 volatility and the VIX index. Journal of Banking and Finance, 33(6), 1033–1038. https://eprints.qut.edu.au/32244
- Becker, R. & Clements, A. (2008). Are combination forecasts of S&P 500 volatility statistically superior? International Journal of Forecasting, 24(1), 122–133. https://eprints.qut.edu.au/224127
- Becker, R., Clements, A. & White, S. (2007). Does Implied Volatility Provide Any Information Beyond that Captured in Model-based Volatility Forecasts? Journal of Banking and Finance, 31(8), 2535–2549. https://eprints.qut.edu.au/14812
- Becker, R., Clements, A. & White, S. (2006). On the Informational Efficiency of S&P500 Implied Volatility. The North American Journal of Economics and Finance, 17(2), 139–153. https://eprints.qut.edu.au/8381
- Clements, A., Hurn, S. & Lindsay, K. (2003). Mobius-Like Mappings and their use in Kernel Density Estimation. Journal of the American Statistical Association, 98(464), 993–1000. https://eprints.qut.edu.au/8378
QUT ePrints
For more publications by Adam, explore their research in QUT ePrints (our digital repository).
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/a.clements
Selected research projects
- Title
- Novel Econometric Techniques for Modelling and Forecasting Electricity Prices and Price Volatility in Australia
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- LX0882226
- Start year
- 2008
- Keywords
- Electricity Prices; Price Risk; Multivariate Models; Volatility; Forecasting
Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.
Supervision
Current supervisions
- AI-driven marketing pricing and marketing efficiency in economic analysis
MPhil, Principal Supervisor
Other supervisors: Dr Catherine Batch - Beyond traditional indicators: how news sentiment shapes short- and long-term market volatility
MPhil, Principal Supervisor
Other supervisors: Dr Stephen Thiele - Financial machine learning in empirical asset pricing
PhD, Principal Supervisor
Other supervisors: Dr Stephen Thiele - Institutional Investor and Hedge Fund Activism: Changing Nature of Shareholder Activism
PhD, Associate Supervisor
Other supervisors: Professor Anup Basu - Modelling Volatility in Complex Financial Market Systems
PhD, Principal Supervisor
Other supervisors: Dr Stephen Thiele
Completed supervisions (Doctorate)
- Developing A Clustering-Based Demand Prediction Model for CAT Spare Parts (2026)
- Modelling Risk in the Agricultural Sector to Improve Decision-Making (2025)
- Advancing volatility prediction: Exploring directional forecasts, measures of volatility, and asset allocation strategies (2024)
- Contributions to statistical inference and forecasting in financial risk models (2024)
- Systemically important bank bond funding: Implications for financial stability (2024)
- Machine learning applications in asset pricing (2023)
- Three essays on modelling and forecasting multivariate volatility (2023)
- A Transactional Level Analysis of Residential Real Estate: Implications of Foreign Investment, Mis-Pricing and Disposition Effects (2022)
- Forecasting realized covariance matrices: New methods to improve financial decision making (2022)
- Procyclical Nature of the Proposed FRTB Market Risk Capital Regime (2022)
Completed supervisions (Masters by Research)
The supervisions listed above are only a selection.