July 25th, 2003, 12:46 pm
Back in 1998, I got a complete history of actual and expected US economic release data from 1980 onward. I did the following regression against 10y note and SPX price histories:daily return on date D = sum over economic data releases i on date D of coeff_i * (actual release value_i - expected release value_i)The regression results showed that, as far as economic data releases go, 1) Treasuries are MUCH more predictable than stock indices and 2) the Greenspan / Volcker "regime change" was easily seen in the data - bonds got much more predictable when the Fed started to peg rates instead of money supply. Having fit the data, it was also very easy to pick out the big price moves that had nothing to do with economic releases (e.g. LTCM / Russia).I tried and failed to find a way to trade on under/over-reaction to a release versus that which was predicted by the regression. I think this was only partially due to the fact that the importance of different releases changes over time and a simple regression doesn't catch this time-dependence. I think the bigger problem was that I used daily data to look for a multi-day strategy when the under/over-reaction is probably a much more transitory effect. I think you can probably day-trade releases, but this took intraday data to design and test and I didn't have it.Hope this helps.