G
Gareth
Member
Question 6 asks what a continuous stochastic process X_t is.
I would have describe it as a stochastic process that has continous sample paths, as in the mapping t->X_t being continuous. If i really wanted to be precise i would use the epsilon delta definition of continuity...
But, IoA says it is a process that can be represented as:
dX_t = sigma_t dW_t + mu_t dt
Does anyone else find this a bit odd...while this may be true for continuous stochastic processes, it is hardly the defining equations...
sometimes this feels like a losing battle, the examiner asks one thing, but means something totally different.
I would have describe it as a stochastic process that has continous sample paths, as in the mapping t->X_t being continuous. If i really wanted to be precise i would use the epsilon delta definition of continuity...
But, IoA says it is a process that can be represented as:
dX_t = sigma_t dW_t + mu_t dt
Does anyone else find this a bit odd...while this may be true for continuous stochastic processes, it is hardly the defining equations...
sometimes this feels like a losing battle, the examiner asks one thing, but means something totally different.