Rate My Professor Don Galagedera
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Always fair, kind, and deeply insightful.
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About Don
Dr. Don Galagedera is a Senior Lecturer in the Department of Econometrics and Business Statistics within the Monash Business School at Monash University. His academic career at Monash University encompasses research and teaching in quantitative methods for business and economics. He serves as the chief examiner for several units, including ETF2700 Mathematics for Business, ETF5970 Mathematics for Business, and ETF5480 Optimisation for Managers. Galagedera holds a BSc, Graduate Diploma in Statistics, MSc in Engineering, and PhD. Additionally, he has supervised doctoral theses, such as 'Empirical studies of asset pricing models: an emerging market perspective for Indonesia' awarded in 2016. His research specializations are performance appraisal, data envelopment analysis (DEA), and network DEA, with expertise keywords including Performance Appraisal, Data Envelopment Analysis, and Network DEA.
Galagedera has published extensively on efficiency measurement and asset pricing applications of nonparametric methods. Key publications include 'Assessing Overall Performance of Sports Clubs and Decomposing into Their On-Field and Off-Field Efficiency' (with Joan Tan, Mathematics, 2024), which develops a network DEA model to evaluate overall management efficiency of Australian Football League clubs by decomposing into on-field and off-field subprocesses. Other works comprise 'Wavelet-based fuzzy clustering of time series' (with Elizabeth Maharaj and Pierpaolo D'Urso), 'Testing the lower partial moment asset-pricing models in emerging markets' (with Javed Iqbal and Robert Brooks), 'Relationship between Downside Beta and CAPM Beta' (2008, with Maharaj and Brooks), 'Multivariate tests of asset pricing: simulation evidence from an emerging market' (2010, with Iqbal and Brooks), and studies on downside risk pricing and mutual fund performance using two-stage DEA. His research demonstrates impact, with over 1,300 citations on ResearchGate, advancing methodologies in econometrics, finance, and performance evaluation.