Portfolio Optimization Efficiency Test Considering Data Snooping Bias

1. Aronson, D. (2011). Evidence-based technical analysis: applying the scientific method and statistical inference to trading signals, Wiley, New Jersey.Search in Google Scholar

2. Babazadeh, H., Esfahanipour, A. (2019), “A novel multi period mean-VaR portfolio optimization model considering practical constraints and transaction cost“, Journal of Computational and Applied Mathematics, Vol. 361, No. 1, pp. 313-342.10.1016/j.cam.2018.10.039Search in Google Scholar

3. Bailey, D. H., Borwein, J. M., de Prado, M. L., Zhu, Q. J. (2017), “The probability of backtest overfitting “, Journal of Computational Finance, Vol. 20, No. 4, pp. 39-69.Search in Google Scholar

4. Bailey, D. H., Borwein, J. M., de Prado, M. L., Zhu, Q. J. (2014), „Pseudomathematics and financial charlatanism: the effects of backtest over fitting on out-of-sample performance“, Notices of the AMS, Vol. 61, No. 5, pp. 458-471.Search in Google Scholar

5. Biglova, A., Ortobelli, S., Rachev, S., Stoyanov, S. (2004), “Different approaches to risk estimation in portfolio theory“, Journal of Portfolio Management, Vol. 31, No. 1, pp. 103-112.10.3905/jpm.2004.443328Search in Google Scholar

6. Chekhlov, A., Uryasev S., Zabarankin M. (2005), “Drawdown measure in portfolio optimization“, International Journal of Theoretical and Applied Finance, Vol. 8, No. 1, pp. 13-58.10.1142/S0219024905002767Search in Google Scholar

7. DeMiguel, V., Garlappi, L., Uppal, R. (2009), “Optimal versus naive diversification: how inefficient is the 1/N portfolio strategy“, Review of Financial Studies, Vol. 22, No. 5, pp. 1915-1953.10.1093/rfs/hhm075Search in Google Scholar

8. Farinelli, S., Ferreira, M., Rossello, D., Thoeny, M., Tibiletti, L. (2008), “Beyond Sharpe ratio: optimal asset allocation using different performance ratios“, Journal of Banking & Finance, Vol. 32, No. 10, pp. 2057-2063.10.1016/j.jbankfin.2007.12.026Search in Google Scholar

9. Fulga, C. (2016), “Portfolio optimization under loss aversion“, European Journal of Operational Research, Vol. 251, No. 1, pp. 310-322.10.1016/j.ejor.2015.11.038Search in Google Scholar

10. James, W., Stein, C. (1961), “Estimation with quadratic loss“, in Neyman, J. (Ed.), Fourth Berkeley Symposium on Mathematical Statistics and Probability, 20-30 June, University of California Press, Berkeley, pp. 361-379.Search in Google Scholar

11. Jorion, P. (1986), “Bayes-Stein estimation for portfolio analysis“, The Journal of Financial and Quantitative Analysis, Vol. 21, No. 3, pp. 279-292.10.2307/2331042Search in Google Scholar

12. Kalayci, C., Ertenlice, O., Akbay, M. (2019), “A comprehensive review of deterministic models and applications for mean-variance portfolio optimization“, Expert Systems with Applications, Vol. 125, pp. 345-368.10.1016/j.eswa.2019.02.011Search in Google Scholar

13. Konno, H., Yamazaki, H. (1991), “Mean-absolute deviation portfolio optimization model and its applications to Tokyo stock-market“, Management Science, Vol. 37, No. 5, pp. 591-531.10.1287/mnsc.37.5.519Search in Google Scholar

14. Lwin, K. T., Qu, R., MacCarthy, B. L. (2017), “Mean-VaR portfolio optimization: a nonparametric approach“, European Journal of Operational Research, Vol. 260, No. 2, pp. 751-766.10.1016/j.ejor.2017.01.005Search in Google Scholar

15. Magdon-Ismail, M., Atiya, A. F., Pratap, A., Abu-Mostafa, Y. S. (2004), “On the maximum drawdown of a Brownian motion“, Journal of Applied Probability, Vol. 41, No. 1, pp. 147-161.10.1239/jap/1077134674Search in Google Scholar

16. Markowitz, H. (1952), “Portfolio selection“, The Journal of Finance, Vol. 7, No. 1, pp. 77-91.Search in Google Scholar

17. Ranković, V., Drenovak, M., Urosevic, B., Jelic, R. (2016), “Mean-univariate GARCH VaR portfolio optimization: actual portfolio approach“, Computers & Operations Research, Vol. 72, No. 1, pp. 83-92.10.1016/j.cor.2016.01.014Search in Google Scholar

18. Shalit, H., Yitzhaki, S. (1984), “Mean Gini, portfolio theory and pricing of risky assets“, Journal of Finance, Vol. 39, No. 5, pp. 1449-1468.10.1111/j.1540-6261.1984.tb04917.xSearch in Google Scholar

19. Sharpe, W. F. (1966), “Mutual fund performance“, Journal of Business, Vol. 39, No. 1, pp. 119-138.10.1086/294846Search in Google Scholar

20. Sharpe, W. F. (1994), “The Sharpe ratio“, Journal of Portfolio Managemet, Vol. 21, No. 1, pp. 49-58.10.3905/jpm.1994.409501Search in Google Scholar

21. Solares, E., Coello, C., Fernandez, E., Navarro, J. (2019), “Handling uncertainty through confidence intervals in portfolio optimization“, Swarm and Evolutionary Computation, Vol. 44, No. 1, pp. 774-787.10.1016/j.swevo.2018.08.010Search in Google Scholar

22. Stein, C. (1956), “Inadmissibility of the usual estimator for the mean of a multivariate normal distribution“, in Neyman, J. (Ed.), Third Berkeley Symposium on Mathematical Statistics and Probability, December 1954 and July-August 1955, University of California Press, Berkeley, pp. 197-206.10.1525/9780520313880-018Search in Google Scholar

23. Taleb, N. N. (2007). Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets, Penguin Books, London.Search in Google Scholar

24. Tanaka, H., Guo, P., Türksen, B. (2000), “Portfolio selection based on fuzzy probabilities and possibility distributions“, Fuzzy Sets and Systems, Vol. 111, No. 3, pp. 387-397.10.1016/S0165-0114(98)00041-4Search in Google Scholar

25. White, H. (2000), “A reality check for data snooping“, Econometrica, Vol. 68, No. 5, pp. 1097-1126.10.1111/1468-0262.00152Search in Google Scholar

26. Young, M. R. (1998), “A minimax portfolio selection rule with linear programming solution“, Management Science, Vol. 44, No. 5, pp. 673-683.10.1287/mnsc.44.5.673Search in Google Scholar