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American basket options

Dear Wojciech,

Thank you very much for your note!

As I understand, the polynomial regression is used in
Longstaff-Schwarz method to predict the expected
return from keeping the option between stages k and
k+1 (which allows one to decide whether to exercise it
at stage k), so any other type of prediction can be
used (like regression trees, neural networks, etc.). 
Has anyone tried to run a "mini Monte Carlo" from
stage k to k+1 (for every k from 1 to N) in order to
reduce the variance of expected returns if continued
to stage k+1?
In my case I am not concerned about the speed (even a
few hours for one run will be OK - but certainly not a
few millenniums!).

Regards,

Moshe.

--- Wojciech Slusarski <wojciech.slusarski at gmail.com>
wrote: