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Historical Scenarios with Fully Flexible Probabilities

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To walk through the code and for a thorough description, refer to
A. Meucci, (2010) "Personalized Risk Management: Historical Scenarios with Fully Flexible Probabilities"

Latest version of article and code available at http://www.symmys.com/node/150

Free download from Shareware Connection - To walk through the code and for a thorough description

Publisher: Attilio Meucci | License: Shareware
Version: 1.0 | Size: 41 KB | Platform: Matlab, Scripts
Released Date: 10-04-2013 | Rating: 0 | Title: Historical Scenarios with Fully Flexible Probabilities

Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/31360/1/Meucci_FullFlexProbs.zip

More downloads from Historical Scenarios with Fully Flexible Probabilities publisher Attilio Meucci:

Risk and Asset Allocation - These routines support the book "Risk and Asset Allocation" Springer Finance, by A. Meucci, see

Simulations with Exact Means and Covariances - Multivariate normal simulations where sample mean and covariances match the respective population moments, refer to A. Meucci (2009), "Simulations with Exact Means and Covariances", Latest version of article and code available at http://symmys.

Review of Statistical Arbitrage, Cointegration, and Multivariate Ornstein-Uhlenbeck - To walk through the code and for a thorough description, refer to A. Meucci (2009) , "Review of Statistical Arbitrage, Cointegration, and Multivariate Ornstein-Uhlenbeck", Latest version of article and code available at http://symmys.

Visualizing the Propagation of Risk - To walk through the code and for a thorough description, refer to A. Meucci (2010), "Visualizing the Propagation of Risk: Square-Root Rule, Covariances and Ellipsoids" Latest version of article and code available at http://symmys.

Exercises in Advanced Risk and Portfolio Management - Exercises and case studies for a rigorous approach to risk- and portfolio-management

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Fully Flexible Bayesian Networks - To walk through the code and for a thorough description, refer to A. Meucci, (2010) "Fully Flexible Bayesian Networks" Latest version of code and article available at http://www.symmys.

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