Fast Portfolio re-Balancing as a Fractional Linear Program is an example of the kind of work we have done encoding client problems (in this case optimal portfolio selection) as optimization problems (so we can use purchased software to solve them). Its a bit mathy- but we are excited we got permission to share this. Continue reading

# Category Archives: Quantitative Finance

# What is the gambler’s equivalent of Amdahl’s Law?

While executing some statistical detective work for a client we had a major “aha!” moment and realized something like “Amdahl’s Law” rephrased in terms of probability would solve everything. We finished our work using direct methods and moved on. But it is an interesting question: what is the probabilist’s (or gambler’s) equivalent of Amdahl’s Law? Continue reading

# A Discrete Model Gauging Market Efficiency

New paper: A Discrete Model Gauging Market Efficiency PDF

We *highly* recommend reading the PDF version, but please find below a HTML translation of the paper.

We follow up on some interesting work from the literature and explore some conditions that allow large predatory traders to dominate markets.

# Betting Best-Of Series

Betting Best of Series is a new expository paper describing the mathematics involved in betting on something like the United States’ Major League Baseball World Series. It isn’t so much about baseball as about demonstrating some of the really great ideas from mathematical finance in a simplified setting. This sort analysis is the “secret sauce” in a lot of financial models and I trying to share the thrilling feeling of working with these techniques in an elementary essay (with diagrams). Continue reading

# Paper on stock trading

author: John Mount

I have finally written up and released a paper in PDF: Automatic Generation and Testing of Trades describing a lot of the statistics and optimization methods used when I was technical trading on a Banc of America Securities proprietary program trading desk. It was a very exciting time.

# New Paper

author: John Mount

Nina and I just finished up our analysis of some of the statistical difficulties encountered by users of Google AdSense. It came out a bit long- but we found the right statistical reference to prove that there are real barriers to understanding in this market. The paper is most legible in PDF, but we also include an HTML version so the blog entry can be skimmed.