Patrick Burns /

Portfolio Probing

The ultimate aim of the Portfolio Probing blog is to help make fund management more effective, to make savings safer through better tools and better methods. Patrick Burns, the founder of Burns Statistics, offers a unique mix of experience in quantitative finance, statistics, computing and writing.

Review of “Risk and Meaning” by Nicolas Bouleau

The subtitle is: Adversaries in Art, Science and Philosophy. Executive Summary Genius or madness? I haven’t decided. Irreversibility of interpretation The book drives home that once we decide how something is we can’t go back to our state of innocence. Figures 1 through 3 exhibit this idea via a randomly generated polygon.  Look at Figure … Continue reading

Posted in Book review, R language, Risk | 1 Comment

Schelling points and prices

Deus Ex Macchiato has a brief post called “Prices as modified Schelling Points”.  It is a cute little idea about how markets work. I had known of the concept of Schelling points but not their name. Subscribe to the Portfolio Probe blog by Email

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A critique of financial advice

Dan Ariely has a post called “Asking the right and wrong questions” about financial advisors.  It starts off with: For the most part, professional financial services rely on clients’ answers to two questions: How much of your current salary will you need in retirement? What is your risk attitude on a seven-point scale? In his … Continue reading

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Realized beta and beta equal 1

What does beta look like in the out-of-sample period for the portfolios generated to have beta equal to 1? In the comments Ian Priest wonders if the results in “The effect of beta equal 1” are due to a shift in beta from the estimation period to the out-of-sample period.  (The current post will make … Continue reading

Posted in Quant finance, R language | Tagged , , , | 2 Comments

Market efficiency versus stability

Mark Buchanan has a piece on Bloomberg called “Sand in the machine the key to stable markets”. This is an introduction into the idea that market efficiency is at odds with market stability. A couple of quotes: Every modern economy depends on financial markets … to funnel capital into the most worthwhile enterprises. But we … Continue reading

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The effect of beta equal 1

Investment Performance Guy had a post about beta equal 1.  It made me wonder about the properties of portfolios with beta equal 1.  When I looked, I got a bigger answer than I expected. Data I have some S&P 500 data lying about from the post ‘On “Stock correlation has been rising”‘.  So laziness dictated … Continue reading

Posted in Quant finance, R language, Random portfolios | Tagged , , , | 12 Comments

Things I learned at useR!2011

The title says “things” but conferences are mainly about people. Some of it can be serendipitous.  For example, one day I sat next to Jonathan Rougier at lunch because I had a question for him about climate models.  When Jonathan left, I started a conversation with the person on my other side.  That was most … Continue reading

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A test of new market circuit breakers

The Barron’s article “Hitting the Switch on New Circuit Breakers” describes a backtest of the proposed new rules for circuit breakers in American markets. All trades for 2008 through 2010 were inspected relative to the so-called “limit up-limit down” scheme. Result: Maybe we should think a little more about it. Subscribe to the Portfolio Probe … Continue reading

Posted in Fund management in general | Tagged | 2 Comments

Random input software testing

The usual approach to testing software is to create a specific problem and see if the software gets the correct answer.  Although this is very useful, there are problems with it: It is labor-intensive It almost totally neglects to test the code that throws errors There can be unconscious bias in the test cases created … Continue reading

Posted in Computation, R language | Tagged , , | 1 Comment

A view of useR!2011

Start Brian Ripley The conference was opened with a talk by Brian Ripley.  I’ll distort his talk into 3 points that came across to me. 1. R Core is finite The time available from R Core members is a strictly limited good.  The more that is pushed onto R Core, the less attention to details.  … Continue reading

Posted in R language | Tagged | 8 Comments