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Nov 23, 2015 at 15:12 history edited Gordon CC BY-SA 3.0
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Nov 23, 2015 at 14:32 history edited Gordon CC BY-SA 3.0
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Nov 22, 2015 at 14:15 comment added Gordon @SRKX: You are right. Since $Z_t$ is a GBM, I tried to leverage on existing result.
Nov 22, 2015 at 11:45 comment added SRKX I know you did most of the job here, but I'd really love to see the example go on until the close-form assuming a lognormal. But I guess that's just long a tedious algebra to get the value of the expectation given the joint distribution of $S$ and $P$ right? Or maybe you define $Z_t=\frac{S_t}{P_t}$ which is also a GBM and which should help already.
Nov 21, 2015 at 14:30 history edited Gordon CC BY-SA 3.0
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Nov 20, 2015 at 21:41 history edited Gordon CC BY-SA 3.0
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Nov 20, 2015 at 21:36 history answered Gordon CC BY-SA 3.0