Methods and apparatus employing hierarchical conditional variance to minimize downside risk of a multi-asset class portfolio and improved graphical user interface
OwnerKartik Sivaramakrishnaninventor
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OwnerKartik Sivaramakrishnaninventor
Estimating the term…
The traditional Markowitz mean-variance-optimization (MVO) framework that uses the standard deviation of the possible portfolio returns as a measure of risk does not accurately measure the risk of multi-asset class portfolios whose return distributions are non-Gaussian and asymmetric. A scenario-based conditional value-at-risk (CVaR) approach for minimizing the downside risk of a multi-asset class portfolio is addressed that uses Monte-Carlo simulations to generate the asset return scenarios. These return scenarios are incorporated into a modified Rockafellar-Uryasev based convex programming formulation to generate an optimized hedge. One example addresses hedging in an equity portfolio with options. Testing shows that a hierarchical CVaR approach generates portfolios with better predicted worst case loss, downside risk, standard deviation, and skew.
A computer-implemented method for interactively comparing performance of a plurality of investment portfolios within a window of a graphical user interface, the method comprising:
A computer-implemented method for interactively comparing performance of a plurality investment portfolios within windows of a graphical user interface on a computer screen and then selecting a preferred investment portfolio, the method comprising:
A computer-implemented method for interactively engineering and selecting a preferred portfolio of investments within windows of a graphical user interface on a computer screen connected to a programmed computer, the method comprising:
A computer implemented method of estimating risks of an optimized portfolio when assets with nonlinear and asymmetric return distributions are included in the optimized portfolio, the computer implemented method comprising:
A computer implemented method of employing a hierarchical conditional value at risk (HCVaR) comprising:
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