2
$\begingroup$

I'm struggling with the understanding of the properties of a Radon-Nykodym Derivative process. In my example we defined the probability measure $\mathbb{Q}[A]=\int_A Z(\omega) d\mathbb{P}(\omega)$. Then Z is the Radon-Nykodym derivative of $\mathbb{Q}$ w.r.t. $\mathbb{P}$ and $Z_t=E_\mathbb{P}[Z|\mathcal{F}_t]$ is a Radon-Nykodym derivative process, I saw that then the conditional expectation: $$E_\mathbb{Q}[Y|\mathcal{F}_t]=\frac{1}{Z_t} E_\mathbb{P} [YZ_s|\mathcal{F_t}]$$ asuming here that Y is $\mathcal{F}_s$ measurable where $s \geq t$.

I startet with a event $A \in \mathcal{F}_t$. Then: $$ E_\mathbb{Q}[Y|\mathcal{F}_t]=E_\mathbb{Q}[Y 1_A]=E_P[YZ_t1_A]=E_P[E_P[YZ_t1_A|\mathcal{F_t}]$$ But then I couldn't do it further, because then I would take out $Z_t$ but this would make no sense, when looking at the equation. Could somebody help me? Thank you!

Thank you!

$\endgroup$
5
  • $\begingroup$ This question is missing a lot of important context. How are the measures $\mathbb{P}$ and $\mathbb{Q}$ related? What is $Z_t$? I can make guesses based on what you're trying to do but you should really include those details in the question. $\endgroup$ Commented Apr 13, 2018 at 10:58
  • $\begingroup$ Hi nobody thanks for your reply, I did some changes, I hope the question is now more clear. Thank you :) $\endgroup$ Commented Apr 13, 2018 at 12:41
  • $\begingroup$ Shouldn't $A \in \mathcal F_t$? $\endgroup$ Commented Apr 13, 2018 at 12:56
  • $\begingroup$ exactly, sorry. I‘ve corrected it $\endgroup$ Commented Apr 13, 2018 at 13:11
  • $\begingroup$ You should define all the notations. For example, let $(\Omega,\mathcal{F}, \mathbb{P})$ be a probability space and let $\{\mathcal{F}_t\mid t\geq 0\}$ be a filtration... Moreover, whether $\mathbb{Q}$ is given at the very beginning or it is defined via $Z$. What is $Z$? Is $Z:\mathcal{\Omega}\rightarrow \mathbb{R}$ and $\mathcal{F}/\mathcal{B}(\mathbb{R})$ measurable? or $\mathcal{G}/\mathcal{B}(\mathbb{R})$ for some sub $\sigma$-algebra $\mathcal{G}\subseteq \mathcal{F}$. $\endgroup$ Commented Apr 13, 2018 at 16:05

1 Answer 1

2
$\begingroup$

First notice that $$\mathbb{E}_\mathbb{P}[YZ_s | \mathcal{F}_t] = \mathbb{E}_\mathbb{P}[ \mathbb{E}_\mathbb{P}[YZ | \mathcal{F}_s] | \mathcal{F}_t] = \mathbb{E}_\mathbb{P}[YZ | \mathcal{F}_t]$$ by the tower law, where the first equality follows from the definition of $Z_s$ and the fact that $Y$ is $\mathcal{F}_s$ measurable.

Let $C_t = \frac{1}{Z_t} \mathbb{E}_\mathbb{P}[YZ | \mathcal{F}_t]$. Then $C_t$ is $\mathcal{F}_t$ measurable so $$\mathbb{E}_\mathbb{P}[ Z C_t | \mathcal{F}_t] = C_t \mathbb{E}_\mathbb{P}[Z | \mathcal{F}_t] = C_t Z_t = \mathbb{E}_\mathbb{P}[YZ | \mathcal{F}_t].$$

We would like to show that $\mathbb{E}_\mathbb{Q}[Y | \mathcal{F}_t] = C_t$. That is, we need to check that for every $A \in \mathcal{F}_t$ we have $ \mathbb{E}_\mathbb{Q}[ {1}_A C_t] = \mathbb{E}_\mathbb{Q} [ {1}_A Y]$. Notice that we do not expect to have $\mathbb{E}_\mathbb{Q}[Y | \mathcal{F}_t] = \mathbb{E}_\mathbb{Q}[Y 1_A]$ as you have written since the left hand side is a random variable whilst the right hand side is just a number.

So we compute for $A \in \mathcal{F}_t$, $$\mathbb{E}_\mathbb{Q}[1_A C_t] = \mathbb{E}_\mathbb{P} [1_A Z C_t] = \mathbb{E}_\mathbb{P} [ 1_A \mathbb{E}_\mathbb{P} [ ZC_t | \mathcal{F}_t]] = \mathbb{E}_\mathbb{P} [ 1_A \mathbb{E}_\mathbb{P} [ZY | \mathcal{F}_t]] = \mathbb{E}_\mathbb{P} [ YZ 1_A ] = \mathbb{E}_\mathbb{Q} [ 1_A Y ]$$ as desired.

$\endgroup$
5
  • $\begingroup$ @TheoreticalEconomist whoops, that was just a typo (now fixed). Thanks for pointing it out! $\endgroup$ Commented Apr 13, 2018 at 15:52
  • $\begingroup$ Looks good now! +1 $\endgroup$ Commented Apr 13, 2018 at 15:54
  • $\begingroup$ Thank you for the great response, I think I get it know $\endgroup$ Commented Apr 14, 2018 at 7:13
  • $\begingroup$ @raphim If you're happy with the answer, you should accept the answer by clicking on the check mark next to it. $\endgroup$ Commented Apr 22, 2018 at 15:37
  • $\begingroup$ did that now, sorry didn't know about this feauture :) $\endgroup$ Commented Apr 23, 2018 at 16:52

You must log in to answer this question.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.