It's an interesting question, does the market price the earnings move as a multiple of the ambient volatility or does it price it as an outright move. My experience is that it's the latter, since the earnings move is idiosyncratic to the stock, while the ambient volatility is largely explained by the broad sector/market volatility.should really translate that into SD and relate the price of the straddle to the statistical average chance of it exceeding the priced in number of SDs
Why, your motivation is pretty clear. You’re running a service to make money on the subscription fees
I do, however, question the ability of your clients to make money based on your subscription alerts (described somewhere before).
That’s the key difference between you and an OPM trader. An OPM trader only makes money if his clients make money (*). Conversely, you mostly don’t care how your clients do, especially if you can replace them fast enough by using aggressive enough advertisement.
PS. I did ask why would you be running a service while having a holy grail strategy. On one hand, a 2-Sharpe strategy that has no obvious capacity constraints should allow to raise funds. On the other hand, by running a service you are potentially giving away your alpha.
Not necessarily. Same strategy doesn't mean same trade. There are many variations (different strikes, different expirations etc.) In addition, there are a lot of unofficial trades, so members who cannot get filled on one of the official trades can always try of the other trades.Don't you have the same issue if you have, say, 100 members, each having 100k in their account? If you members try to use the same strategy, collectively they will face the liquidity issue and cause the performance to degrade.
Sle's post above explains it more clearly than I did. 252 is the number of trading days in a year, used to annualize var. 4 is the number of trading days at base or ambient var used as a multiplier, the 1 on the other term (the one day at 0.10**2 var) is implied. The 5 is a divisor to bring the five day var back to one day var. ** in python means exponentiation so the 2 means vol raised to the second power which converts vol to var. The sqrt around the whole equation brings var back to vol.explain why you calculated vol using those equations? ...meaning of the numbers such 252, 4, 5 and 2...
See post by sle for a better explanation. Option price change is due to delta, curvature, and theta (decrease in optionality and rate/divyeild decay), not "change" in IV.Also, why is this "vol ramp" not tradeable if it is reflected as an options price change?
Be a little bit careful on that. The equation I posted assumes that the one-day event vol distribution is unimodal (of the same lognormal form as the base or ambient vol). Unimodal distributions are mathematically tractable enough so that a unimodal event spike distribution is easy to incorporate into your typical binomial pricing model. Unfortunately market implied risk neutral event vol distributions (especially for large events like an FDA decision for a biotech name) are often bimodal. Bimodal distros are difficult to put into a binomial pricing model as the tree no longer recombines.So, if I can calibrate the base vol and earning spike vol, I can track the vol ramp. If it deviates from the "theoretical value", it is tradable.
See post by sle for a better explanation. Option price change is due to delta, curvature, and theta (decrease in optionality and rate/divyeild decay), not "change" in IV.
BTW, though I have never been dumb enough to subscribe to an options signal service, the experience of friends who have has been uniformly negative.
Like anything driven by supply and demand, implied volatility does go up and down. Obviously, if you have a position in options, you will make or lose money due to these moves. It could be reprice of the event or simply a bid for ambient volatility. However, there is nothing systemic about it - if I had to guess you would find that mean risk-adjusted change in implied volatility prior to the events is zero.Really?
Of course it's supply and demand. What's your point? The trick is to take advantage of the price when IV goes down and buy low to reduce the risk. I provided you with a live example of a straddle going up in price in matter of hours. There are dozens similar examples.Like anything driven by supply and demand, implied volatility does go up and down. Obviously, if you have a position in options, you will make or lose money due to these moves. It could be reprice of the event or simply a bid for ambient volatility. However, there is nothing systemic about it - if I had to guess you would find that mean risk-adjusted change in implied volatility prior to the events is zero.