Analytical Overview and Applications of Modified Black-Litterman Model for Portfolio Optimization

1. Allaj, E. The Black-Litterman Model and Views from a Reverse Optimization Procedure: An Outof-Sample Performance Evaluation. – Article in SSRN Electronic Journal, 2017. DOI: 10.2139/ssrn.2999335.10.2139/ssrn.2999335Search in Google Scholar

2. Allen, D., C. Lizieri, S. Satchell. In Defense of Portfolio Optimization: What If We Can Forecast? – Financial Analysts Journal, Vol. 75, 2019, No3, 20-38.10.1080/0015198X.2019.1600958Search in Google Scholar

3. Bartkowiak, M., A. Rutkowska. Black-Litterman Model with Multiple Experts’ Linguistic Views. – In: Soft Methods for Data Science. Springer, 2017.10.1007/978-3-319-42972-4_5Search in Google Scholar

4. Bertsimas, D., V. Gupta, I. C. Paschalidis. Inverse Optimization: A New Perspective on the Black-Litterman Model. – J. Operation Research, Vol. 60, 11 December 2012, No 6, pp. 1389-1403.10.1287/opre.1120.1115422419025382873Search in Google Scholar

5. Black, F., R. Litterman. Asset Allocation: Combining Investor Views with Market Equilibrium. – The Journal of Fixed Income, Vol. 1, 1991, No 2, p. 7-18.10.3905/jfi.1991.408013Search in Google Scholar

6. Wing, Cheung. The Black-Litterman Model Explained. – Journal of Asset Management, Vol. 11, 2011, No 4, pp. 229-243.10.1057/jam.2009.28Search in Google Scholar

7. Cui, X., J. Gao, Y. Shi. Multi-Period Mean-Variance Portfolio Optimization with Management Fees. – Int J. Oper Res, 2019, pp. 1-22.10.1007/s12351-019-00482-4Search in Google Scholar

8. Davis, M., S. Lleo. A Simple Procedure to Incorporate Predictive Models in a Continuous Time Asset Allocation. – Quantitative Finance Letters, Vol. 4, 2016, No 1, pp. 40-46.10.1080/21649502.2015.1165906Search in Google Scholar

9. Duqi, L. F., G. Torluccio. The Black-Litterman Model: the Definition of Views Based on Volatility Forecasts. – J. Applied Financial Economics, Vol. 24, 2014, No 19, pp. 1285-1296.10.1080/09603107.2014.925056Search in Google Scholar

10. Fang, Y., L. Bo, D. Zhao, S. Wang. Fuzzy Views on Black-Litterman Portfolio Selection Model. – J. of Systems Science and Complexity, Vol. 31, 2018, No 4, pp. 975-987.10.1007/s11424-017-6330-2Search in Google Scholar

11. Gao, Xuedong, GuKan. Determination of the Starting Point in Time Series for Trend Detection Based on Overlapping Trend. – Cybernetics and Information Technologies, Vol. 16, 2016, No 6, pp. 98-110.10.1515/cait-2016-0080Search in Google Scholar

12. Georgieva, P. V. Genetic Fuzzy System for Financial Management. – Cybernetics and Information Technologies, Vol. 18, 2018, No 2, pp. 20-35.10.2478/cait-2018-0025Search in Google Scholar

13. Georgieva, P., I. P. Popchev, S. N. Stoyanov. – Cybernetics and Information Technologies, Vol. 15, No 3, 2015, pp. 41-51.10.1515/cait-2015-0040Search in Google Scholar

14. Geyer, A., K. Lucivjanská. The Black-Litterman Approach and Views from Predictive Regressions: Theory and Implementation. – The Journal of Portfolio Management, Vol. 42, 2016, No 4, pp. 38-4810.3905/jpm.2016.42.4.038Search in Google Scholar

15. Harris, R. D. F., E. Stoja, L. Tan. The Dynamic Black-Litterman Approach to Asset Allocation. – European Journal of Operational Research, Vol. 259, 2017, pp. 1085-1096.10.1016/j.ejor.2016.11.045Search in Google Scholar

16. He, G., R. Litterman. The Intuition behind Black-Litterman Model Portfolios. – In: Investment Management Research. Goldman Sachs & Company, 1999.Search in Google Scholar

17. Idzorek, T. M. A Step-by-Step Guide to the Black-Litterman Model. 2002. https://faculty.fuqua.duke.edu/~charvey/Teaching/BA453_2006/Idzorek_onBL.pdf10.1016/B978-075068321-0.50003-0Search in Google Scholar

18. Kolm, P. N., R. Tutuncu, F. J. Fabozzi. 60 Years of Portfolio Optimization: Practical Challenges and Current Trends. – European Journal of Operational Research, Vol. 234, 2014, pp. 356-37110.1016/j.ejor.2013.10.060Search in Google Scholar

19. Korsemov, D., D. Borissova, I. Mustakerov. Combinatorial Optimization Model for Group Decision-Making. – Cybernetics and Information Technologies, Vol. 18, 2018, No 2, pp. 65-73.10.2478/cait-2018-0028Search in Google Scholar

20. Mahmut, K., U. Aydin, K. A. Baris. A Hybrid Approach for Generating Investor Views in Black-Litterman Model. – Expert Systems with Applications, Vol. 128, 201910.1016/j.eswa.2019.03.041Search in Google Scholar

21. Markowitz, H. Portfolio Selection. – Journal of Finance, Vol. 7, 1952, pp.77-91.10.1111/j.1540-6261.1952.tb01525.xSearch in Google Scholar

22. Meucci, A. The Black-Litterman Approach: Original Model and Extensions. Bloomberg. – In: Alpha Research&Education Paper, No 1, 2008.Search in Google Scholar

23. Michaud, R. O., D. N. Esch, R. O. Michaud. Deconstructing Black-Litterman: How to Get the Portfolio You Already Knew You Wanted. – SSRN Electronic J., Vol. 11, 2013, No 1, pp. 6-20.10.2139/ssrn.2641893Search in Google Scholar

24. Satchell, S., A. Scowcroft. A Demystification of the Black-Litterman Model: Managing Quantitative and Traditional Portfolio Construction. – J. of Asset Management, Vol. 1, 2000, pp. 138-150.10.1057/palgrave.jam.2240011Search in Google Scholar

25. Sharpe, W. Portfolio Theory and Capital Market. McGraw Hill, 2000. 316 p.Search in Google Scholar

26. Vladimirov, M., T. Stoilov, K. Stoilova. New Formal Description of Expert Views of Black-Litterman Asset Allocation Model. – Cybernetics and Information Technologies, Vol. 17, 2017, No 4, pp. 87-98.10.1515/cait-2017-0043Search in Google Scholar

27. Walters, J. Reconstructing the Black-Litterman Model, 2014.10.2139/ssrn.2330678Search in Google Scholar

28. https://www.moneyworks4me.com/about-stock-market/portfolio-managementSearch in Google Scholar

29. https://finance.yahoo.comSearch in Google Scholar

30. www.global-rated.comSearch in Google Scholar