Definition of the conditional expectation operator $E^Q_{t,z}$?












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I'm studying the book "Arbitrage Theory in Continuous Time" by Bjork, and the authore uses a lot the notation $E^Q_{t,z}$, where $Q$ is a probability measure and $z=Z_t$ a stochastic process, but he did not give the definition.



Form the exercise below (taken from the book) I guess that $E^Q_{t,z}(Z_u)=E^Q(Z_u|Z_t)$. So for $u = t$ we should have $E^Q_{t,z}(Z_u)=Z_t$, is this correct?



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  • 1




    $E^Q_{t,z}$ must be $E^Q(cdot|Z_t=z)$. But that doesn't mean $E^Q_{t,z}(Z_u)=Z_t$, which would be true if $Z$ were also a martingale. In any case, are you sure there's no definition in the book? I'd have another look at the section where the author first discusses Markov processes.
    – AddSup
    Dec 26 at 14:30












  • Thank you very much for the help. So in the exercise $$int_t^T dlog Z_t^2=log Z_T^2-log Z_t^2,$$ but then $$E^Q_{t,z}(log Z_t^2)=E^Q(log Z_t^2|Z_t=z)=log z^2?$$
    – sound wave
    Dec 26 at 14:41






  • 1




    Sure. And yes, that's correct.
    – AddSup
    Dec 26 at 14:44










  • Ok thanks. To be rigorous, in the integral should I change the time letter of $Z$, i.e. writing $int_t^T dlog Z_s^2$ (with $s$ instead of $t$) ?
    – sound wave
    Dec 26 at 14:57








  • 1




    Yes. More like to be correct.
    – AddSup
    Dec 26 at 18:21
















0














I'm studying the book "Arbitrage Theory in Continuous Time" by Bjork, and the authore uses a lot the notation $E^Q_{t,z}$, where $Q$ is a probability measure and $z=Z_t$ a stochastic process, but he did not give the definition.



Form the exercise below (taken from the book) I guess that $E^Q_{t,z}(Z_u)=E^Q(Z_u|Z_t)$. So for $u = t$ we should have $E^Q_{t,z}(Z_u)=Z_t$, is this correct?



enter image description here










share|cite|improve this question


















  • 1




    $E^Q_{t,z}$ must be $E^Q(cdot|Z_t=z)$. But that doesn't mean $E^Q_{t,z}(Z_u)=Z_t$, which would be true if $Z$ were also a martingale. In any case, are you sure there's no definition in the book? I'd have another look at the section where the author first discusses Markov processes.
    – AddSup
    Dec 26 at 14:30












  • Thank you very much for the help. So in the exercise $$int_t^T dlog Z_t^2=log Z_T^2-log Z_t^2,$$ but then $$E^Q_{t,z}(log Z_t^2)=E^Q(log Z_t^2|Z_t=z)=log z^2?$$
    – sound wave
    Dec 26 at 14:41






  • 1




    Sure. And yes, that's correct.
    – AddSup
    Dec 26 at 14:44










  • Ok thanks. To be rigorous, in the integral should I change the time letter of $Z$, i.e. writing $int_t^T dlog Z_s^2$ (with $s$ instead of $t$) ?
    – sound wave
    Dec 26 at 14:57








  • 1




    Yes. More like to be correct.
    – AddSup
    Dec 26 at 18:21














0












0








0







I'm studying the book "Arbitrage Theory in Continuous Time" by Bjork, and the authore uses a lot the notation $E^Q_{t,z}$, where $Q$ is a probability measure and $z=Z_t$ a stochastic process, but he did not give the definition.



Form the exercise below (taken from the book) I guess that $E^Q_{t,z}(Z_u)=E^Q(Z_u|Z_t)$. So for $u = t$ we should have $E^Q_{t,z}(Z_u)=Z_t$, is this correct?



enter image description here










share|cite|improve this question













I'm studying the book "Arbitrage Theory in Continuous Time" by Bjork, and the authore uses a lot the notation $E^Q_{t,z}$, where $Q$ is a probability measure and $z=Z_t$ a stochastic process, but he did not give the definition.



Form the exercise below (taken from the book) I guess that $E^Q_{t,z}(Z_u)=E^Q(Z_u|Z_t)$. So for $u = t$ we should have $E^Q_{t,z}(Z_u)=Z_t$, is this correct?



enter image description here







stochastic-calculus expected-value






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Dec 26 at 13:22









sound wave

1598




1598








  • 1




    $E^Q_{t,z}$ must be $E^Q(cdot|Z_t=z)$. But that doesn't mean $E^Q_{t,z}(Z_u)=Z_t$, which would be true if $Z$ were also a martingale. In any case, are you sure there's no definition in the book? I'd have another look at the section where the author first discusses Markov processes.
    – AddSup
    Dec 26 at 14:30












  • Thank you very much for the help. So in the exercise $$int_t^T dlog Z_t^2=log Z_T^2-log Z_t^2,$$ but then $$E^Q_{t,z}(log Z_t^2)=E^Q(log Z_t^2|Z_t=z)=log z^2?$$
    – sound wave
    Dec 26 at 14:41






  • 1




    Sure. And yes, that's correct.
    – AddSup
    Dec 26 at 14:44










  • Ok thanks. To be rigorous, in the integral should I change the time letter of $Z$, i.e. writing $int_t^T dlog Z_s^2$ (with $s$ instead of $t$) ?
    – sound wave
    Dec 26 at 14:57








  • 1




    Yes. More like to be correct.
    – AddSup
    Dec 26 at 18:21














  • 1




    $E^Q_{t,z}$ must be $E^Q(cdot|Z_t=z)$. But that doesn't mean $E^Q_{t,z}(Z_u)=Z_t$, which would be true if $Z$ were also a martingale. In any case, are you sure there's no definition in the book? I'd have another look at the section where the author first discusses Markov processes.
    – AddSup
    Dec 26 at 14:30












  • Thank you very much for the help. So in the exercise $$int_t^T dlog Z_t^2=log Z_T^2-log Z_t^2,$$ but then $$E^Q_{t,z}(log Z_t^2)=E^Q(log Z_t^2|Z_t=z)=log z^2?$$
    – sound wave
    Dec 26 at 14:41






  • 1




    Sure. And yes, that's correct.
    – AddSup
    Dec 26 at 14:44










  • Ok thanks. To be rigorous, in the integral should I change the time letter of $Z$, i.e. writing $int_t^T dlog Z_s^2$ (with $s$ instead of $t$) ?
    – sound wave
    Dec 26 at 14:57








  • 1




    Yes. More like to be correct.
    – AddSup
    Dec 26 at 18:21








1




1




$E^Q_{t,z}$ must be $E^Q(cdot|Z_t=z)$. But that doesn't mean $E^Q_{t,z}(Z_u)=Z_t$, which would be true if $Z$ were also a martingale. In any case, are you sure there's no definition in the book? I'd have another look at the section where the author first discusses Markov processes.
– AddSup
Dec 26 at 14:30






$E^Q_{t,z}$ must be $E^Q(cdot|Z_t=z)$. But that doesn't mean $E^Q_{t,z}(Z_u)=Z_t$, which would be true if $Z$ were also a martingale. In any case, are you sure there's no definition in the book? I'd have another look at the section where the author first discusses Markov processes.
– AddSup
Dec 26 at 14:30














Thank you very much for the help. So in the exercise $$int_t^T dlog Z_t^2=log Z_T^2-log Z_t^2,$$ but then $$E^Q_{t,z}(log Z_t^2)=E^Q(log Z_t^2|Z_t=z)=log z^2?$$
– sound wave
Dec 26 at 14:41




Thank you very much for the help. So in the exercise $$int_t^T dlog Z_t^2=log Z_T^2-log Z_t^2,$$ but then $$E^Q_{t,z}(log Z_t^2)=E^Q(log Z_t^2|Z_t=z)=log z^2?$$
– sound wave
Dec 26 at 14:41




1




1




Sure. And yes, that's correct.
– AddSup
Dec 26 at 14:44




Sure. And yes, that's correct.
– AddSup
Dec 26 at 14:44












Ok thanks. To be rigorous, in the integral should I change the time letter of $Z$, i.e. writing $int_t^T dlog Z_s^2$ (with $s$ instead of $t$) ?
– sound wave
Dec 26 at 14:57






Ok thanks. To be rigorous, in the integral should I change the time letter of $Z$, i.e. writing $int_t^T dlog Z_s^2$ (with $s$ instead of $t$) ?
– sound wave
Dec 26 at 14:57






1




1




Yes. More like to be correct.
– AddSup
Dec 26 at 18:21




Yes. More like to be correct.
– AddSup
Dec 26 at 18:21















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