Quote:
Originally Posted by Malachii
I guess the issue that I'm struggling with is while option market makers are very sophisticated, they're also using a mathematical model, which is built on certain underlying assumptions and represents a simplified model of reality. So it seems like there could be an edge from time to time by thinking about qualitative factors in a way that a computer wouldn't be able to.
Thoughts?
Yes, what you're describing is all trading, you want to have a fundamental mispricing based on something real. Some examples I liked from Jamie Mai's chapter in Hedge Fund Market Wizards he talks about buying options that have a false assumption baked in.
Two examples he gave that I can remember:
-Buying long term options that were pricing a recent low volatility environment (something he explained many MMs do) when they expected a large change / binary event
-Creating a "worst of option" (your option priced based on the worst of the two) based for Aussie Dollars and Swiss Francs to the Euro which were inversely correlated before the Euro crashed giving a VERY cheap option cost because of the correlation assumption (that wouldn't exist in an environment like the Euro crashing)
On the flip side, when you're selling options (from the little I know) you're trying to specialize in certain type of environments and manage the risks efficiently. So you might say sell call options on stocks that have a high implied volatility between 60 to 45 DTE. I assume this works because people are willing to pay a -EV premium in environments perceived as volatile.
And fair warning, I'm mostly talking out my ass on options.