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What is the distribution of $dX_t = bsigma_tdV_t$?


Girsanov: Change of drift, that depends on the processSecond (centered) moment for martingalesProve that the following process is a Geometric Brownian motion for every constantWhat is the conditional distribution of $X_3$ where $dX_t = adt + dW_t$?Conditions for limiting distribution to equal stationary distribution of SDEFind $E(X_t)$ for 3 differentials $dX_t$Geometric brownian motion with more than one brownian motion termHow to prove differential of product correlated Brownian Motions?Product of two processes DifferentialStochastic differential equation with respect to general stochastic process













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$begingroup$


$$dX_t =sigma_tX^a dW_t$$
$$dsigma_t = bsigma_tdV_t$$
$$ dV_tdW_t = rho dt$$



$V,W$ are two correlated Brownian Motions. $a$ and $b$ is two real valued parameters. If $X_0$, $sigma_0$, a, b and $rho$ is known: What are the distribution of $X_t$?



$sigma_t$ is a Geometric Brownian motion with no drift.










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$endgroup$

















    0












    $begingroup$


    $$dX_t =sigma_tX^a dW_t$$
    $$dsigma_t = bsigma_tdV_t$$
    $$ dV_tdW_t = rho dt$$



    $V,W$ are two correlated Brownian Motions. $a$ and $b$ is two real valued parameters. If $X_0$, $sigma_0$, a, b and $rho$ is known: What are the distribution of $X_t$?



    $sigma_t$ is a Geometric Brownian motion with no drift.










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      $$dX_t =sigma_tX^a dW_t$$
      $$dsigma_t = bsigma_tdV_t$$
      $$ dV_tdW_t = rho dt$$



      $V,W$ are two correlated Brownian Motions. $a$ and $b$ is two real valued parameters. If $X_0$, $sigma_0$, a, b and $rho$ is known: What are the distribution of $X_t$?



      $sigma_t$ is a Geometric Brownian motion with no drift.










      share|cite|improve this question











      $endgroup$




      $$dX_t =sigma_tX^a dW_t$$
      $$dsigma_t = bsigma_tdV_t$$
      $$ dV_tdW_t = rho dt$$



      $V,W$ are two correlated Brownian Motions. $a$ and $b$ is two real valued parameters. If $X_0$, $sigma_0$, a, b and $rho$ is known: What are the distribution of $X_t$?



      $sigma_t$ is a Geometric Brownian motion with no drift.







      probability probability-theory probability-distributions stochastic-processes stochastic-calculus






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 13 at 12:09







      k.dkhk

















      asked Mar 12 at 5:19









      k.dkhkk.dkhk

      16410




      16410






















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