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See:
Description
| Class Summary | |
|---|---|
| BlackLitterman | This class encapsulates the top level Black-Litterman functionality in terms of backing the risk aversion out of the market portfolio, and then on to calculating the expected return with views. |
| BLResults | This class holds results from a Black-Litterman mixing operation. |
| BLView | Models a single view in the Black-Litterman model. |
| BLViews | |
| FusaiMeucci | Provides test data and harness to reproduce the results from the Fusai and Meucci paper on assessing views for the Black-Litterman portfolio optimization method. |
| HeLitterman | Provides test data and harness to reproduce the results from the He & Litterman paper on the Black-Litterman portfolio optimization method. |
| IdzorekBLExample | This class implements the method described in Idzorek (2005) of driving the variance of the views from the confidence level by linearl solution of the variance to match the expected change in weight of the unconstrained portfolio. |
| KrishnanMains | Provides test data and harness to reproduce the results from the Krishnan & Mains 2 factor Black-Litterman paper published in Risk magazine. |
| MeanVariance | |
Provides classes which implement the Black-Litterman model and various extensions.
The Black-Litterman model master formula for estimated returns is
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