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Question for the statistically minded: If you have an asset with a 17% standard deviation, how often can you say it will fall at least 10% in the next six months and end up being right on purely the basis of statistical fluctuation (incorrectly assuming a Gaussian dsd). [/ QUOTE ] N(d2) in the BS formula gives you the probability that the stock will be bigger than a certain strike under geometric brownian motion assumptions. N() is cumulative normal distribution. So assume S (stock price) = 100. Strike K = 90 Time = T = 0.5 years std = sigma = 0.17 So probability that stock bigger than strike = N(d2) d2 = (log(S/K)+(r-sigma^2/2)T)/(sigma*sqrt(T)) So I get 85% with 5% interest rate. Therefore, based on these assumptions there is a chance of 15% that Morgan-Stanley is right and the market will drop more than 10%. |
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