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I came upon the term "implied state price density" in a couple of papers. As far as I understand the concept one basically tries to extract the "pricing density" from the market data.

For the sake of simplicity we assume a constant interst rate $r$ and also don't make any assumptions on the model used to evolve $S_t$.


According to Douglas T. Breeden and Robert H. Litzenberger in their paper Prices of State-Contingent Claims Implicit in Option Prices one can recover the density via the formula:

$p(S_T|S_t)=e^{r(T-t)}\frac{\partial^2 C(t,S_t,K,r,T)}{\partial K^2}|_{K=S_T}$

How does one arrive at this formula? I tried to differentiate $C(t,S_t,K,r,T)$ but according to the rules for differentiating parameter integrals this is not how one can arrive at above formula (what am I missing?)

P.S. You can read the paper online for free at JSTOR after you register. Or just email me and I will sent you the pdf-file

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up vote 1 down vote accepted

Look the first answer of this thread: How to derive the implied probability distribution from B-S volatilities?

Also many papers in Dupire volatility have your formula derivation. For example, look at (10) in http://www.javaquant.net/papers/DupireLocalVolatility.pdf

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damn this was actually quite simple:( – Probilitator Mar 9 '14 at 6:27

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