Portfolio evaluation using OWA-heuristic algorithm and data envelopment analysis

Journal of Risk Finance

Volumn 11, Issue 1, 2010, Pages 75-88

  Singh, Abhay Kumar ^a   Sahu, Rajendra ^b   Bharadwaj, Shalini ^b  

^a EDITH COWAN UNIVERSITY   (Australia)

^b ABV INDIAN INSTITUTE OF INFORMATION TECHNOLOGY AND MANAGEMENT   (India)

Author keywords

Algorithmic languages; Data analysis; Portfolio investment

Indexed keywords

EID: 85015429444     PISSN: 15265943     EISSN: 09657967     Source Type: Journal    
DOI: 10.1108/15265941011012697     Document Type: Article

References (20)

1. Avkiran, N.K. (2001), “Investigating technical and scale efficiencies of Australian universities through data envelopment analysis”, Socio-Economic Planning Sciences, Vol. 35, pp. 57-80.
2. Banker, R.D., Charnes, R.F. and Cooper, W.W. (1984), “Some models for estimating technical and scale inefficiencies in data envelopment analysis”, Management Science, Vol. 30, pp. 1078-92.
3. Calhoun, J. (2003), Data Envelopment Analysis of Relative Efficiencies of Institutions of Higher Learning, Association for the Study of Higher Education, Portland, OR.
4. Charnes, A., Cooper, W.W. and Rhodes, R. (1978), “Measuring the efficiency of decision making units”, European Journal of Operational Research, Vol. 2, pp. 429-44.
5. Elton, E.J., Gruber, M.J. and Padberg, M.W. (1976), “Simple criteria for optimal portfolio selection”, Journal of Finance, Vol. 31 No. 5, pp. 1341-57.
6. Gregoriou, G.N. (2003), “Performance appraisal of hedge funds using data envelopment analysis”, Journal of Wealth Management, Vol. 5 No. 4, pp. 88-95.
7. Haslem, J.A. and Scheraga, C.A. (2003), “Data envelopment analysis of Morningstar's large-cap mutual funds”, Journal of Investing, Winter, pp. 41-8.
8. Morey, M.R. and Morey, R.C. (1999), “Mutual fund performance appraisals: a multi-horizon perspective with endogenous benchmarking”, Omega, Vol. 27, pp. 241-58.
9. Nawrocki, D.N. (1983), “A comparison of risk measures when used in a simple portfolio selection heuristic”, Journal of Business Finance & Accounting, Vol. 10 No. 2, pp. 183-94.
10. Nawrocki, D.N. (1990), “Tailoring asset allocation to the individual investor”, International Review of Economics and Business, Vol. 38 Nos 10-11, pp. 990-7.
11. Shen, Y., Eggleston, K., Lau, L. and Schmid, C. (2005), “Hospital ownership and financial performance: a quantitative research review”, Working Paper No. 11662, NBER, Cambridge, MA.
12. Zhu, J. (2003), Quantitative Models for Performance Evaluation and Benchmarking, Kluwer, Boston, MA.
13. Chang, T.J. and Meade, N. (2000), “Heuristics for cardinality constrained portfolio optimization”, Computers & Operations Research, Vol. 27 No. 13, pp. 1271-302.
14. Cohen, K.J. and Pogue, J.A. (1967), “An empirical evaluation of alternative portfolio-selection models”, Journal of Business, Vol. 40, pp. 166-93.
15. Lopes, A., Lanzer, E., Lima, M. and da Costa, N. Jr (2008), “DEA investment strategy in the Brazilian stock market”, Economics Bulletin, Vol. 13 No. 2, pp. 1-10.
16. Markowitz, H.M. (1952), “Portfolio selection”, The Journal of Finance, Vol. 7 No. 1, pp. 77-91.
17. Markowitz, H.M. (1991), “Foundations of portfolio theory”, The Journal of Finance, Vol. 46 No. 2, pp. 469-77.
18. Nawrocki, D.N. (2000), “Portfolio optimization, heuristics and the butterfly effect”, Journal of Financial Planning, Vol. 13 No. 2, pp. 68-75.
19. Powers, J. and McMullen, P.R. (2000), “Using data envelopment analysis to select efficient large market cap securities”, Journal of Business and Management, Vol. 7, pp. 31-42.
20. Talluri, S. (2000), Data Envelopment Analysis: Models and Extensions, Decision Line, Silberman College of Business Administration, Fairleigh Dickinson University, Teaneck, NJ.