DYNAMIC PORTFOLIO SELECTION UNDER CAPITAL-AT-RISK WITH NO SHORT-SELLING CONSTRAINTS

2011 ◽  
Vol 14 (06) ◽  
pp. 957-977 ◽  
Author(s):  
GORDANA DMITRAŠINOVIĆ-VIDOVIĆ ◽  
ALI LARI-LAVASSANI ◽  
XUN LI ◽  
ANTONY WARE

Portfolio optimization under downside risk is of crucial importance to asset managers. In this article we consider one such particular measure given by the notion of Capital at Risk (CaR), closely related to Value at Risk. We consider portfolio optimization with respect to CaR in the Black-Scholes setting with time dependent parameters and investment strategies, i.e., continuous-time portfolio optimization. We review the results from our previous work in unconstrained portfolio optimization, and then investigate and solve the corresponding problems with the additional constraint of no-short-selling. Analytical formulae are derived for the optimal strategies, and numerical examples are presented.

2010 ◽  
Vol 2010 ◽  
pp. 1-26 ◽  
Author(s):  
Gordana Dmitrasinovic-Vidovic ◽  
Ali Lari-Lavassani ◽  
Xun Li ◽  
Antony Ware

Portfolio optimization with respect to different risk measures is of interest to both practitioners and academics. For there to be a well-defined optimal portfolio, it is important that the risk measure be coherent and quasiconvex with respect to the proportion invested in risky assets. In this paper we investigate one such measure—conditional capital at risk—and find the optimal strategies under this measure, in the Black-Scholes continuous time setting, with time dependent coefficients.


Author(s):  
Eric Kwame Austro Gozah ◽  
Eric Neebo Wiah ◽  
Albert Buabeng ◽  
Paul Yaw Addai Yeboah

2019 ◽  
Vol 279 (1) ◽  
pp. 225-241 ◽  
Author(s):  
Amir Ahmadi-Javid ◽  
Malihe Fallah-Tafti

Author(s):  
TUNCER ŞAKAR CEREN ◽  
MURAT KÖKSALAN

We study the effects of considering different criteria simultaneously on portfolio optimization. Using a single-period optimization setting, we use various combinations of expected return, variance, liquidity and Conditional Value at Risk criteria. With stocks from Borsa Istanbul, we make computational studies to show the effects of these criteria on objective and decision spaces. We also consider cardinality and weight constraints and study their effects on the results. In general, we observe that considering alternative criteria results in enlarged regions in the efficient frontier that may be of interest to the decision maker. We discuss the results of our experiments and provide insights.


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