Derives the Kolmogorov Backward Equation for a Markov Diffusion process described by a general SDE, which includes Brownian Motion, Geometric Brownian Motion, and Ornstein Uhlenbeck processes as special cases.
Пікірлер: 15
@vivizhou87663 жыл бұрын
This is so well presented and explained. Thank you!
@quantpie3 жыл бұрын
Many thanks!!
@JZ-ey1yh4 жыл бұрын
Thanks for the clear explanations! If possible, can we have a future video that discusses jump processes?
@quantpie4 жыл бұрын
Many thanks! Yes this is work in progress, so hopefully in 2 weeks time!
@davide4674 жыл бұрын
very interesting, nice video as always
@quantpie4 жыл бұрын
Thank you @Davide!
@hosseinebrahimian12553 жыл бұрын
It was very useful for me ! 🙏🏻🙏🏻🙏🏻🙏🏻🙏🏻 thanks
@quantpie3 жыл бұрын
glad you found it useful! You are welcome and many thanks!
@siddharthjain21274 жыл бұрын
I think I'm study whole ODE and PDE... But this is new for me... 😂 😂 Thanks dude
@quantpie4 жыл бұрын
thanks! glad you found it useful!
@HungDuong-dt3lg2 жыл бұрын
For the derivatives in the taylor series at 8:58, should it be with respect to y, not x_0?
@Freelancer-il2xk3 жыл бұрын
Is there a way to solve a Fokker Planck equation that is both forward and backward in time.
@quantpie3 жыл бұрын
many thanks for the question! Do you have an example in mind please?