MFE at Columbia is good but pretty basic.The Math Finance there is very theoretical.Their Center for Applied Probability has had a good rep for manyyears. But if you want to get into a top tier bank you prob needa PhD.
Thanks. Does subtracting the risk-free rate make sense if the portfolio generating the returnis self-financing? Seems like kelly theory may break down in this case and argue for limitlessleverage since its effectively a free bet with high expectation.
<t>AM trying to determine kelly bet size when returns come from a normal distribution;Searches on Wilmott and on Google suggest that kelly fraction is mu/sigma^2 but this makes no sense:if I have a annual Information ratio of 1.5 with a mean of 6% and stdev of 4% the fraction comes outto be 37.50 we...
<t>Does anyone have suggestions on how to find a portfolio weight vector to maximize correlation with another portfolio?For example I have a pre-specified portfolio of hedge fund returns that I cannot trade, but want to maximize correlation with this through some other tradable assets - I have a sam...
<t>Does anyone know how to calculate the correlation of two portfolios directly from the covariance matrix?i.e. if I have a CAPM model r(i) = B(i)*mkt+e(i) which gives me cov matrix C when B(i) and sigma(i) are known or estimatedhow would I calculate the correlation between two portfolios with weigh...
<t>For a super-cap stock like MSFT, I would say yes, all the big indexers are forecasting previously non-existent dividends, it would matter a great deal to cost of carry on a $5billion dollar arb book. Regarding writeups of methodology, sorry tosh137 I am not aware of anything out there. The proble...
<t>Most index arb models look at historical payments for each stock, thenforecast these with similar ex dates and amounts, sometimes with a (small) growth factor if earnings estimates are decent....though unless you are doingsome futures fair value/basis calculations you could just use the historica...
<t>Exactly - I am actually trying to fit the solution to a model by Dong to minimize MSE on price instead of P/Ebut its virtually the same - my results are as you suggest "not robust". It is a complex system with manyparms but there seemed to be enough "order" there to maybe force a single solution....
<t>I have tried fitting this model, I seem to get local minima very dependent upon starting pointand a large number of useless minima which is surprising given the number of free parametersvs the number of data points; it should be "easy" to get a good fit. What upper/lower parameterboundaries are y...