Quantitative risk methodologies for portfolio management

Monday, October 31, 2011

attillio-meucci-picturelarge-141x198Led by Attilio Meucci, Chief Risk Officer, KEPOS CAPITAL

The seminar provides a self-contained overview of advanced techniques necessary for a quantitative approach to risk management. The class is fast paced: the audience is assumed to be familiar with multivariate calculus, linear algebra, and statistics

08:30 Registration and coffee

09:00 The "Prayer": the ten-step checklist of advanced risk and portfolio management

  • P0- "P" vs "Q": the two worlds of quantitative finance
  • P1- Quest for invariance
  • P2- Estimation / factor models for estimation
  • P3- Projection to investment horizon
  • P4- Pricing
  • P5- Portfolio aggregation
  • P6- Risk attribution/hedging
  • P7- P&L evaluation
  • P8- Optimization
  • P9- Execution
  • P10- Ex-post analysis

09:50 Linear Factor Models: technical review, myths, pitfalls and new frontier

  • From "systematic + idiosyncratic" to "dominant + residual" models
  • Generalized time-series, cross-sectional and statistical models
  • Deceptive relationships between factor models and CAPM /APT
  • "Factors on Demand": on-the-fly, portfolio-specific factor models for hedging

10:30 Morning break

11:00 Estimation risk and generalized stress-testing

  • Historical scenarios with "Fully Flexible Probabilities"
                 - Time weighting
                 - Crisp/Kernel state weighting
                 - Entropy Pooling weighting with partial information
  • Conditional Stress-testing: "Fully Flexible Bayesian Networks"
  • Distributional stress-testing
                 - "Copula-Marginal Algorithm"
                 - Non-normal copulas for the buy-side with Fully Flexible Probabilities
                 - Panic copulas

12:30 Lunch

13:30 Diversification: technical review and new developments

  • Weight-based diversification measures
  • Risk-based diversification measures
  •  Diversification measures based on Linear Factor Models
  • Diversification distribution
  • "Effective Number of Bets" in arbitrary markets and portfolios

15:00 Afternoon break

15:30 Liquidity risk

  • Prices, market impact, liquidation policy
  • Single-security liquidity adjustment
  • Portfolio-level liquidity adjustment
  • Conditional convolution and state-dependent, distributional liquidity adjustment
  • Liquidity-adjusted portfolio statistics

17:00 End of the seminar

About the tutor:

 Attilio Meucci is a pioneer in advanced risk and portfolio management. His innovations include Entropy Pooling, Factors on Demand, Effective Number of Bets, Fully Flexible Probabilities, and Copula-Marginal Algorithm. Attilio is the founder of SYMMYS, under whose umbrella he designed and teaches the ARPM Bootcamp and manages the charity One More Reason. Attilio Meucci serves as the chief risk officer at Kepos Capital LP. Concurrently, he is adjunct professor at the Master's in Financial Engineering - Baruch College - CUNY. Previously, Attilio was the head of research at ALPHA, Bloomberg LP's portfolio analytics and risk platform; a researcher at POINT, Lehman Brothers' portfolio analytics and risk platform; a trader at the hedge fund Relative Value International; and a consultant at Bain & Co, a strategic consulting firm. Concurrently, he taught at Columbia, NYU-Courant, and Bocconi University. Attilio is the author of Risk and Asset Allocation - Springer and numerous other publications in practitioner and academic journals. He holds a BA summa cum laude in Physics from the University of Milan, an MA in Economics from Bocconi University, a PhD in Mathematics from the University of Milan and is a CFA chartholder. Attilio is fluent in six languages.

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