A lot depends on your time horizon. With long hold periods stuff like correlations, market neutrality, factor/sensitivity exposures matters a lot. This applies to long/short equity books, options portfolios, swaps books … anything where you hold for weeks/months.
-
Show this thread
-
For fast trading (hold < 1 day) that stuff matters less because you get diversification from the number of bets through time, rather than diversification from making cross-sectionally independent bets.
1 reply 2 retweets 47 likesShow this thread -
With very fast strategies where you are in/out multiple times per day you might literally treat every market as independent, perhaps keeping an eye on overall delta and hedging it with something cheap.
1 reply 1 retweet 24 likesShow this thread -
I try not to make any of my decisions contingent on whether I am in drawdown or at hwm. I don’t believe that’s informative for how the strat will perform in the future. The one exception is that if you lose/make a lot of money quickly it *may* be a sign that one of your
1 reply 0 retweets 30 likesShow this thread -
assumptions is wrong and you should revisit everything, and it *may* be prudent to cut risk while you do that.
1 reply 0 retweets 27 likesShow this thread -
On trade sizing I think sizes should be proportional to confidence and inversely proportional to risk. That assumes you can meaningfully distinguish confidence levels! If not then equal weight or risk-parity weight is better than overthinking it.
2 replies 1 retweet 45 likesShow this thread -
On overall risk levels, most often I am managing to a mandate so I don’t think about it often. Sorry nothing to add here!
1 reply 0 retweets 17 likesShow this thread -
The type of strategy I all working on most often is a big bucket of positions, typically 100s-1000s. Every position has an associated alpha and exposures to risks that I want to control. The alphas and the exposures change day by day or even minute by minute. Typically over time
2 replies 0 retweets 29 likesShow this thread -
the alpha of the portfolio decays and the risk exposures creep up, and the job of the portfolio manager is to keep making trades that increase the alpha, decrease the unwanted risk exposures, and don’t cost too much. Simple really.
3 replies 4 retweets 76 likesShow this thread -
Step 1. Get market data Step 2. Build simulation framework Step 3. Build the rest of the fucking strategy
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.