Package org.drip.sample.idzorek
Class UserConfidenceProjectionCalibration
java.lang.Object
org.drip.sample.idzorek.UserConfidenceProjectionCalibration
public class UserConfidenceProjectionCalibration
extends java.lang.Object
UserConfidenceProjectionCalibration calibrates the Black Litterman Projection Variance using the
Implied Allocation Tilts. The References are:
- He. G., and R. Litterman (1999): The Intuition behind the Black-Litterman Model Portfolios, Goldman Sachs Asset Management
- Idzorek, T. (2005): A Step-by-Step Guide to the Black-Litterman Model: Incorporating User Specified Confidence Levels, Ibbotson Associates, Chicago
- Module = Portfolio Core Module
- Library = Asset Allocation Analytics
- Project = DROP API Construction and Usage
- Package = Idzorek (2005) User Confidence Tilt
- Author:
- Lakshmi Krishnamurthy
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Constructor Summary
Constructors Constructor Description UserConfidenceProjectionCalibration()
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Method Summary
Modifier and Type Method Description static void
main(java.lang.String[] astrArgs)
Entry PointMethods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Constructor Details
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UserConfidenceProjectionCalibration
public UserConfidenceProjectionCalibration()
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Method Details
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main
public static final void main(java.lang.String[] astrArgs) throws java.lang.ExceptionEntry Point- Parameters:
astrArgs
- Command Line Argument Array- Throws:
java.lang.Exception
- Thrown on Error/Exception Situation
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