I have three pages listing YT channels on mathematical/ programming, but RiskByNumbers stands above the rest. Analyzing financial data is a great topic, encouragingly. Please keep it coming.
@martinsanchez-hw4fi: thanks for reaching out to me. One of the challenges I've found is that there are a lot of resources out there. This is both a blessing and a curse. I usually have to pull from many different texts/resources in the classes that I teach. Which areas in particular are you looking to learn more about? For the videos, it has been an evolution. My first few videos were largely powerpoint, now I primarily make all animations in Python. I typically make a video, learn through that process, and then make a few improvements for the next one. Over time, those improvements have added up (hopefully!).
@EvU-bo6lu: I had been thinking of setting up a fairly simple WordPress to start. This is a new area for myself, so I'm not entirely sure quite yet. The more important goal would be to have the content accessible to anyone. Thank you so much for your positive note -- really means a lot!
@alex-craft: great comment and question! Having looked at log returns for financial assets in the past, I've found it to be a good 'approximation', but there is definitely evidence out there that they do not perfectly follow a Gaussian distribution (nor a random walk with drift). I think Black-Scholes is a nice example of a case where strong assumptions have been made that may not be perfectly true, but that does not mean that the Black-Scholes model has not been immensely valuable. A very interesting paper around the modeling of returns can be found in Andrew Lo's paper: "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test". It is a great, interesting read around the nature of stock prices explored through an intuitive variance ratio test. Highly recommend. Happy to continue the conversation, and thanks again for the question.
![The most beautiful equation in math, explained visually [Euler’s Formula]](http://i.ytimg.com/vi/f8CXG7dS-D0/mqdefault.jpg)
I have three pages listing YT channels on mathematical/ programming, but RiskByNumbers stands above the rest. Analyzing financial data is a great topic, encouragingly.
Please keep it coming.
@lioncaptiv: wonderful to hear from you. Really appreciate the kind words, and thanks for supporting the channel!
This is absolutely brilliant. You do an amazing job of sharing the joy of natural logs and statistic modelling!
@dinnertonightdinner7923: this is really great to hear, and obviously much appreciated. Thank you!
Great video! Everything comes together perfectly!
@lachlanpower5140: that is great to hear. Thanks for the positive note!
Another amazing video! Thank you so much!
@pedrocolangelo5844: thank you! Glad to hear that you are finding these videos helpful!
Can you recommend 1) study resources for the topics you cover and 2) the tools you use to make your videos and animations
@martinsanchez-hw4fi: thanks for reaching out to me. One of the challenges I've found is that there are a lot of resources out there. This is both a blessing and a curse. I usually have to pull from many different texts/resources in the classes that I teach. Which areas in particular are you looking to learn more about?
For the videos, it has been an evolution. My first few videos were largely powerpoint, now I primarily make all animations in Python. I typically make a video, learn through that process, and then make a few improvements for the next one. Over time, those improvements have added up (hopefully!).
Great content , please ,keep the great work !! , thanks!!
Thanks, @jm7476 -- on it!
We just started to do this in my Cal class. Thank you for further insight 🤌🏽
Thanks, @johng9259! Really great to hear your positive feedback!
Great video!
@alexbush9250: thank you!
This is gold.
Thanks, @TruongNguyen-cj3pl! Really appreciate it.
Can’t wait for the blog, you thinking of posting on medium?
@EvU-bo6lu: I had been thinking of setting up a fairly simple WordPress to start. This is a new area for myself, so I'm not entirely sure quite yet. The more important goal would be to have the content accessible to anyone. Thank you so much for your positive note -- really means a lot!
Keep up the good work!
Thank you, @jakethomas9556!
amazing, thanks!
@venil82: thanks for commenting and the positive feedback. It means a lot!
Are you sure that distribution of r is gaussian?
@alex-craft: great comment and question!
Having looked at log returns for financial assets in the past, I've found it to be a good 'approximation', but there is definitely evidence out there that they do not perfectly follow a Gaussian distribution (nor a random walk with drift).
I think Black-Scholes is a nice example of a case where strong assumptions have been made that may not be perfectly true, but that does not mean that the Black-Scholes model has not been immensely valuable.
A very interesting paper around the modeling of returns can be found in Andrew Lo's paper: "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test". It is a great, interesting read around the nature of stock prices explored through an intuitive variance ratio test. Highly recommend.
Happy to continue the conversation, and thanks again for the question.
this is awesome!
Thank you, @siddhantchaudhary496!
Nice job!
@rafaelvoss6639: thank you! Appreciate the kind note.