Quote from optioncoach:
Mathematical expectancy is a nice formula but it is not realistic. I will never take the full $91,500 loss given my risk management plan. Given the movement of the index it would be hard to imagine anyone truly sitting there and taking the full $91,500 loss. So I do not go by straightforward statistical expectancy. Expectancy is not what is most importance to me, actual money making is. As I said, the whole key to this strategy is risk management and allowing this position to get to the maximum loss is not something that should be considered.
The odds of the strikes being in the money is extremely small. WIth an index, the movement will not be a gap down overnight so I do not have to worry about going to bed with the index at 1130 and waking up at 1070. The key is in the way I approach the trades. I plan to roll out if I am within 10 points of my short strike. Given time decay the potential loss in such an approach is far far less than $91,500, especially since the options will not even be in the money when I roll out.
Moreover, the occurrences where the market has made such a large move in 35 days or less is extremely rare and at most once a year (9/11 is the extreme movement and that was 13% or so in a month. The other extreme was about 10% and it took 4 weeks to make that move).
Moreover, when the market starts moving towards my short strikes, I add partial hedges in place using options on futures and SPY options. THis reduces the potential profit but that is the price of insurance. I do not mind reducing a 5% profit to a 2.5% profit if it gives me more cushion. That is still pretty good for 35 days or so. So when I have to pull out at the extreme, my hedge profits reduce the loss somewhat to a smaller loss. The annual chances of losses on 10 positions is about 2 out of 10 during sever market activity. Following my own personal risk management plan, I can still have positive returns with 2 out of 10 positions where I was forced to close out my spreads.
So I do not use the general expectancy since it involves the unrealistic assumption that I would lose the full $91,500. For example, assume 1 approache to this stategy is to get out when the cost to close the spread is 10% of the margin. In that case it would be 5% of $9,150 v. 95% of $4,500 which is a postive cash expectancy per trade. It is easy to play with these numbers. That is why I focus on the risk management plan and actual trading.
I appreciate the question!
Regards,
Phil