Assoc Prof Paul LajbcygierBSc, MFin, PhD, GradCertHE, MACS Associate Professor
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Paul Lajbcygier joined the Department in 2006. He combines extensive industry and academic experience in investments. Since 1990, Paul has provided investment advice for various prominent domestic and international: funds managers, banks and hedge funds. Since 1995, Paul has published over 50 academic papers and generated over $3.1 million in government grants and payments in-kind. He has sat on over 10 journal editorial boards and conference program committees. He has also worked/researched at amongst the best business schools in the world, including: London Business School and the Stern School of Business, New York University.
Research: | Asset pricing, including: equity and option pricing, funds management analysis, trading systems, financial econometrics, time-series, hedge funds, computational finance, including: bootstrap, non-parametric regression and clustering. |
| Teaching: | AFC3540 Modelling in finance |
Recent Publications
Journals and Professional Publications
- Sanford, AD & Lajbcygier, PR (2009). Examination items in financial mathematics: A Bayesian analysis of differential item functioning using item response theory (IRT). Advances in Financial Education, 7(1 & 2), 158-182. United States:Finance Education Association
- Lajbcygier, PR (2008). A model of fund growth for managed futures: Evidence of managerial skill. Journal of Investment Management, 6(1), 55-67. USA:Stallion Press
- Brown, S* & Lajbcygier, PR & Li, BL* (2008). Going negative: what to do with negative book equity stocks. The Journal of Portfolio Management: the journal for investment professionals, 35(1), 95-102. USA:Institutional Investor, Journals
- Lajbcygier, PR & Shen, Y* (2008). Incentives for asset growth: The different causes of monthly in-flows and out-flows of surviving managed future funds. Journal of Derivatives and Hedge Funds, 13(4), 287-303. UK:Palgrave Macmillan Ltd
- Lajbcygier, PR & Sanford, AD (2008). Predicting exam failure in computational finance. Advances in Financial Education, 6(Winter), 59-78. USA:Finance Education Association
- Lajbcygier, PR & Lim, E* (2007). How important is money management? Comparing the largest equity drawdown, optimal-f and two naive money management approaches . Journal of Trading, 3(2), 58-75. USA:Institutional Investor, Journals
- Lajbcygier, PR & Ong, M* (2007). Using the GAP statistic to find the correct number of mutual fund styles. Economic & Financial Modelling, 14(3), 103-137. UK:European Economics and Financial Centre
Book Chapters
- Sanford, AD & Lajbcygier, PR & Spratt, C* (2009). Identifying latent classes and differential item functioning within a cohort of e-learning students. In E-Learning Technologies and Evidence-Based Assessment Approaches, (pp 195-217). Hershey, PA, USA: Information Science Reference (IGI Global)
- Lajbcygier, PR & Spratt, C* (2009). The validity of group marks as a proxy for individual learning in e-learning settings. (1 th ed.). In E-Learning Technologies and Evidence-based Assessment Approaches, (pp 136-150). Hershey, New York: Information Science Reference (IGI Global)
- Li, BL* & Lajbcygier, PR (2007). Effect of negative book equity on the Fama French HML. In Advances in Business and Finance Studies, (pp 213-226). Hyderabad India: ICFAI University Press
- Lajbcygier, PR & Spratt, C* (2007). Using "blended learning" to develop tertiary students skills of critique. (1 th ed.). In Integrating Information & Communications Technologies into the Classroom, (pp 1-18). USA: Information Science Publishing
Monographs
- Lajbcygier, PR (2010). Modern Option Pricing: Improving Option Pricing with Modern Statistical Techniques. Saarbrucken Garmany: LAP Lambert Academic Publishing AT & Co KG
- Lajbcygier, PR & Spratt, C* (2009). E-learning Technologies and Evidence-based Assessment Approaches. Hershey, NY: IGI Global



