Avellaneda Lectures: Models and Risk
May 28, 2011
Quantivity recently stumbled upon the following two excellent lecture series by Marco Avellaneda (affiliated with Courant Institute), while researching a new trading strategy. The first series surveys quant strategies, with an emphasis on mean-reversion and factor models. The second surveys risk and portfolio management. All relevant for building quantitative trading strategies.
While this material is available elsewhere, self-contained lectures which coherently assemble important themes from the literature are a joy to read.
Quantitative strategies:
- Statistical Models of Stock Returns
- PCA and Risk Factors
- Dynamic PCA & More Examples
- Exchange-Traded Funds
- Mean-Reversion
- Back-testing Statistical-arbitrage Strategies
- Quantitative Option Strategies
- Entropy Methods for Financial Derivatives
- Dispersion Trading
- Volatility Statistical Arbitrage
- Asymptotics
- Hard-to-Borrow Securities
Risk and portfolio management:
- Statistical Models of Stock Returns
- Principal Components Analysis and Factors Explaining Stock Returns
- Exchange Traded Funds: Gaining Exposure to Sectors
- Arbitrage Pricing Theory: Theory and Applications To Financial Data Analysis
- Stochastic Processes & Dynamics of Stock Prices
- Auto-Regressive Models
- Construction of Market Risk Models: Treasuries and MBS
- Equity Options: Risk and Portfolio Management
- Option portfolios with Several Underlying Assets
- Hard-to-Borrow Securities
- Statistical Methods for Mortgage-Backed Securities
6 Comments
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Great resource. Thanks for pointing this out. Unfortunately, how can I enjoy my long weekend when you put something like this up?
@John: thanks. Re your question: perhaps consider redefining “long weekend enjoyment” to include reading quant lectures? 🙂
There are a couple of interviews to Marco Avellaneda
@besanson: thanks for links.
Readers should be aware these are in Spanish.
Yes. Sorry i didnt warn.
Did you receive my email? Any chance in the near future to do a podcast? In english of course.
No Lecture 7 for the quant course?