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Exercises in Advanced Risk and Portfolio Management - With Step-by-Step Solutions and Fully Documented Code

Attilio Meucci


August 15, 2010

Exercises and case studies for a rigorous approach to risk- and portfolio-management. This booklet stems from the review sessions of the six-day ARPM bootcamp.

Contents include:
Advanced multivariate statistics; copula-marginal decomposition
Annualization/projection (FFT, cumulants, simulations)
Pricing: exact; first order (delta/duration); second order (gamma/convexity)
Quest for invariance (stationarity, volatlity clustering, cointegration)
Mutlivariate estimation
- Non-parametric; MLE; shrinkage; robust; Bayesian; missing data
- Generalized hypothesis testing
Dimension reduction
- Statistical (random matrices; principal components; factor analysis)
- Cross-sectional / time-series factor models
- Factors on Demand
Risk management
- VaR/CVaR (marginal Euler decomposition; extreme value theory; Cornish-Fisher; elliptical)
- Generalized objectives (p&l, return, relative return, etc)
- Stochastic dominance/utility theory
Classical portfolio management: mean-variance
Dynamic strategies (option replication, CPPI, utlity maximization)
Advanced portfolio management
- Robust optimization
- Black-Litterman and beyond: fully flexible views
Solution code available at MATLAB Central File Exchange.

Number of Pages in PDF File: 111

Keywords: multivariate statistics, invariance quest, estimation theory, factor models, dimension reduction, pricing, VaR, CVaR, robust optimization, estimation risk, copula, cointegration, shrinkage, robustness, Bayesian, Black-Litterman, dynamic strategies

JEL Classification: C1, G11

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Date posted: August 11, 2009 ; Last revised: October 11, 2010

Suggested Citation

Meucci, Attilio, Exercises in Advanced Risk and Portfolio Management - With Step-by-Step Solutions and Fully Documented Code (August 15, 2010). Available at SSRN: http://ssrn.com/abstract=1447443 or http://dx.doi.org/10.2139/ssrn.1447443

Contact Information

Attilio Meucci (Contact Author)
SYMMYS ( email )
HOME PAGE: http://www.symmys.com
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