• September 12, 2012

    Previously This book and the associated R package were introduced before. Executive Summary A very nice -- and enlightening -- discussion of a wide range of topics. Principles The [...]

  • September 10, 2012

    The paper is "Not Fooled by Randomness: Using Random Portfolios to Analyze Investment Funds" by Roberto Stein.  Here is an explanation of the idea of random portfolios. Favorite sentence [...]

  • September 5, 2012

    Featured Thalesians, London 2012 September 12. Chia Tan on "Practical Financial Modeling". Abstract: Financial modelling is not a competition in the mastery of complexity. Rather, the aim is to [...]

  • September 3, 2012

    An introduction to Bayesian analysis and why you might care. Fight club The subject of statistics is about how to learn.  Given that it is about the unknown, it [...]

  • August 27, 2012

    How much does garch shorten long tails? Previously Pertinent blog posts include: "A practical introduction to garch modeling" "The distribution of financial returns made simple" "Predictability of kurtosis and [...]

  • August 20, 2012

    A herd of heuristic algorithms is compared using a portfolio optimization. Previously "A comparison of some heuristic optimization methods" used two simple and tiny portfolio optimization problems to compare [...]

  • August 13, 2012

    I unfortunately was not there, but we can vicariously enjoy it via the presentations that are posted on the conference website. Below is my take on the highlights (in [...]

  • July 30, 2012

    How are returns calculated when net asset value goes negative? Previously In "A tale of two returns" we highlighted the similarities and differences of log returns versus simple returns. [...]

  • July 26, 2012

    Do not use order when you want rank. Background The update of "A comparison of some heuristic optimization methods" is due to the bug that Luca Scrucca spotted. Actually, [...]

  • July 23, 2012

    A simple portfolio optimization problem is used to look at several R functions that use randomness in various ways to do optimization. Orientation Some optimization problems are really hard. [...]