Skip to main content
Commonmark migration
Source Link

What is the mean and the variance of $y_t$, given the following SDE:

$dy_t = -x_t y_t dt + \sigma_1 dW^1_t$

 

$dx_t = -\sigma_2 y_t dW^2_t$

$W^1$ and $W^2$ are (possibly correlated) Wiener processes.

What is the mean and the variance of $y_t$, given the following SDE:

$dy_t = -x_t y_t dt + \sigma_1 dW^1_t$

 

$dx_t = -\sigma_2 y_t dW^2_t$

$W^1$ and $W^2$ are (possibly correlated) Wiener processes.

What is the mean and the variance of $y_t$, given the following SDE:

$dy_t = -x_t y_t dt + \sigma_1 dW^1_t$

$dx_t = -\sigma_2 y_t dW^2_t$

$W^1$ and $W^2$ are (possibly correlated) Wiener processes.

Source Link
Posch79
  • 111
  • 1

Mean and Variance of SDE

What is the mean and the variance of $y_t$, given the following SDE:

$dy_t = -x_t y_t dt + \sigma_1 dW^1_t$

$dx_t = -\sigma_2 y_t dW^2_t$

$W^1$ and $W^2$ are (possibly correlated) Wiener processes.