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USING INTRINSIC TIME IN PORTFOLIO OPTIMIZATION

Abstract

The concept of intrinsic time was introduced in Mandelbrot’s paper circa 1963 and further developed in discussion paper by Muller et al. (1993). As reported by Didenko et al. (2014), there are some evidencesthat sampling price series in volume domain results in almost normal returns, which could help to overcome some common issues in portfolio optimisation. First, we briefly survey flaws of classic approach to portfolio optimisation, then we test for statistical properties of intrinsic-time sampled return series, theorize on how intrinsic time could help in handling issues of portfolio optimisation, and then empirically test our guesses. We show that using intrinsic time helps in overcoming such flaws of Modern Portfolio Theory as poor diversification and reliance on normality of returns.

About the Author

B. Vasilyev
Financial University
Russian Federation


References

1. Black, F., & Litterman, R. (1992), "Global portfolio optimization", Financial Analysts Jour-nal, 48 (5), 28-43.

2. Chriss, N. A., & Almgren, R. (2005), "Portfolios from sorts", http://ssrn.com/abstract=720041 [accessed 17 Mar 2015].

3. DeMiguel, V., Garlappi, L., & Uppal, R. (2009), "Optimal versus naive diversifi cation: How inef-fi cient is the 1/N portfolio strategy? ", Review of Financial Studies, 22 (5), 1915-1953.

4. Didenko, A., Dubovikov, M., Poutko, B. (2014), "Forecasting market transition to an unsteady state using decomposition of volatility to dynamic components", Working paper (in Russian).

5. Fernholz, E. R. (2002), Stochastic portfolio theory (pp. 1-24). Springer New York.

6. Jagannathan, R., & Ma, T. (2003), "Risk reduction in large portfolios: Why imposing the wrong constraints helps", The Journal of Finance, 58 (4), 1651-1684.

7. Lindberg, C. (2009), "Portfolio optimization when expected stock returns are determined by exposure to risk", Bernoulli, 15 (2), 464-474.

8. Longin, F. (2005), "The choice of the distribution of asset returns: How extreme value theory can help? ", Journal of Banking & Finance, 29 (4), 1017-1035.

9. Lummer, S. L., Riepe, M. W., & Siegel, L. B. (1994), "Taming your optimizer: A guide through the pitfalls of mean-variance optimization", Global Asset Allocation: Techniques for Optimizing Portfolio Management.


Review

For citations:


Vasilyev B. USING INTRINSIC TIME IN PORTFOLIO OPTIMIZATION. Review of Business and Economics Studies. 2015;3(2):7-14. (In Russ.)



ISSN 2308-944X (Print)
ISSN 2311-0279 (Online)