Showing posts with label shares. Show all posts
Showing posts with label shares. Show all posts

01 October 2011

Registry of Interests


This is a list of my main sources of income, and of any other work-related benefits, as of 1 October 2011. I will update this as and when any major changes occur.

My main sources of income are from writing for Computerworld UK, The H Open and Techdirt. In the past I have occasionally written for other titles, but not recently, and given my many commitments I think that is unlikely to change.

I also get paid to give talks, mostly on free software, intellectual monopolies and digital rights.

I occasionally accept paid-for trips to attend conferences related to my work; I aim to declare that fact in any writing that comes out of such visits. In the past (ten to twenty years ago) I accepted these routinely, as did all journalists. For the record, the company that invited me most frequently back then was probably Microsoft....

I am not, and never have been, a consultant for any company.

As for unpaid positions, I'm on the Open Knowledge Foundation Advisory Board, and also on the Advisory Committee of the Climate Code Foundation.

I do not own (and have never owned) any shares except those that might be hidden away in financial instruments I may have or have had: I have never tried to find out if there are any, or what they might be. Similarly, I do not have, and have never had, investments in any company.

I no longer accept freebies in the form of review software/hardware (though I did a couple of decades ago when this was standard practice.) I buy all my own computers and smartphones at full price (luckily, the software comes free...)

I very occasionally receive free review copies of books on areas I'm interested in, but I'm trying to discourage this since I never have time to write the reviews (er, sorry about that.)

Follow me @glynmoody on Twitter or identi.ca, and on Google+

10 August 2007

Of Maths, Shares and Horoscopes

I have been a mathematician since the age of eight. As such, I tend to look at the world through the optics of mathematics. For this reason, I have never understood why people believe that they can model financial markets: they're clearly far too complex/chaotic to be reduced to any equation, and trying to extrapolate with computers - no matter how powerful - is just doomed to failure.

And so it seems:

I hear many Risk Arb players at big shops are getting creamed. It seemed like you make money for 3 years, then give it all back in a couple weeks. Classic mode-mean trade: mode is positive, mean is zero.

In fact, what is most surprising - nay, shocking - is that this apparently unshakeable belief in the existence of some formula/method that will one day allow such markets to be tracked accurately enough to make dosh consistently is equivalent to a belief in horoscopes. After all, horoscopes are all about "deep" correlations - between the stars and your life. Maybe financial markets should try casting a few - they'd be just as likely to succeed as the current methods. (Via TechDirt.)