The Quant Crunch Experience and the Future of Quantitative Investing

Bob Litterman


Introduction to 'Lessons from the Financial Crisis'


The Credit Crunch of 2007: What Went Wrong? Why? What Lessons Can be Learned?


Underwriting versus Economy: A New Approach to Decomposing Mortgage Losses


The Shadow Banking System and Hyman Minsky’s Economic Journey


The Collapse of the Icelandic Banking System


The Quant Crunch Experience and the Future of Quantitative Investing


No Margin for Error: The Impact of the Credit Crisis on Derivatives Markets


The Re-Emergence of Distressed Exchanges in Corporate Restructurings


Modelling Systemic and Sovereign Risks


Measuring and Managing Risk in Innovative Financial Instruments


Forecasting Extreme Risk of Equity Portfolios with Fundamental Factors


Limits of Implied Credit Correlation Metrics Before and During the Crisis


Another view on the pricing of MBSs, CMOs and CDOs of ABS


Pricing of Credit Derivatives with and without Counterparty and Collateral Adjustments


A Practical Guide to Monte Carlo CVA


The Endogenous Dynamics of Markets: Price Impact, Feedback Loops and Instabilities


Market Panics: Correlation Dynamics, Dispersion and Tails


Financial Complexity and Systemic Stability in Trading Markets


The Martingale Theory of Bubbles: Implications for the Valuation of Derivatives and Detecting Bubbles


Managing through a Crisis: Practical Insights and Lessons Learned for Quantitatively Managed Equity Portfolios


Active Risk Management: A Credit Investor’s Perspective


Investment Strategy Returns: Volatility, Asymmetry, Fat Tails and the Nature of Alpha

One of the more fascinating stories to come out of the investment world in recent years is that of quantitative investing. After a decades-long evolution, this approach to investing grew enormously over the 10 years prior to the events of July and August 2007. In the author’s view that is not the end of the story, but, rather, the beginning of a new chapter. Let us take a closer look.

To start with a definition, we like to think that quantitative asset management draws on the best knowledge from the academic theory of finance, which tells us that return should be commensurate with risk, to take advantage of systematic opportunities in the marketplace. Some risks are better than others, of course. Quantitative investors, just like all other investors, attempt to identify investments offering a premium that more than justifies the risk. A recent example occurred in early 2009 when the premium on credit risk seemed very high. The stock market was clearly on the mend by the end of April, but credit spreads remained quite wide. Many investors thought the nation faced a prolonged recession. Coming out of a severe crunch, credit spreads were wider than at almost any time in history

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