May 23rd, 2007, 5:22 pm
Yes. I know many guys, who were ex-stat arb, and had used barra models for their risk purposes - and they happened to back-testing the barra factors as a return factor. Then they said "viola! why don't I dump my stat-arb model and switch to this easy stuff" and then launched a hedge fund with nothing more than a bloomberg terminal and subscription to barra factor. A few of them even ended up getting some money & its really amazing that there too many such cases of ex-stat arb traders who follow this route, not knowing that there are many others before them who have tried the same.It is better to actually backtest some of the elements of barra factors instead. recall their factors are more from a risk-variance explaination perspective. i had some huge amount of factor backtest of the barra factors and compared them to ones i calculated on my own from databases like compustat, worldscope - and you will be better off that way.(a) moreover, there are major practical issues in using a factor which is both used for the alpha and for the risk, if the objective is to often to have a risk-adjusted factor ... intuitively, its like dividing by the same thing etc ... (b) also, more often than not, many institutions, who ask for transparencies, will end up looking at the barra-factor exposures of the manager and conclude that the manager has only alternative beta via barra factor risk and not really doing any genuine stock picking and then start to pull out their money(c) finally, in quant equity strategies, the transaction cost often eats up 50%-70% of the back-tested returns ... but very few people factor this in their back-test exclusively. I met too many guys who just add a fixed number - and the most common is a negative 3% - whereas in equity market neutral (area of my expertise), the loss due to transacion costs is often 7%-12%. So, in case you are planning to do so, make sure you know all the smart ways to combine factors to get a higher information ratio/coefficients.