Great content. You really deserve more subscribers.
@mattheusmegdom2 жыл бұрын
Great Video !
@JEYANBABUKK29 күн бұрын
what a man
@_AbUser2 жыл бұрын
Waiting next video.. Is it possible to use somekind of harmonic functions for seasonal component representation also? How should they looks in the model?
@QuantPy2 жыл бұрын
In short, yes it is, wait for next video
@_AbUser2 жыл бұрын
@@QuantPy Thanks dude!
@joeyattaway756 Жыл бұрын
Box Jenkins
@AdamCasenas5 ай бұрын
At 20:49, if our residuals only show a correlation for the first 15 lags, should we fit a moving average term instead?
@Hankhill13274 ай бұрын
Hi there, for the purposes of insurance wouldn’t it make more sense for someone using this as a hedge to just buy specific insurance to that business, as I’m sure the cost would be less than a call/put against a crop harvest for instance. I also wonder, how necessary is it for people trading these markets to create their own models when weather stations have been forecasting pretty accurately for many years. We could assume that news stations and research organizations have a considerable time and money investment in their own prediction models, right? Very cool video and interesting concept. I’m using an app called kalshi to trade weather markets.
@amirrosli25072 жыл бұрын
Hi, nice video. May I ask to predict weather (Temperature), is there any methods from statistical analysis besides regression . Please I need it for my project.
@QuantPy2 жыл бұрын
You could try to use local or nonparametric models like splines.
@amirrosli25072 жыл бұрын
@@QuantPy thank you
@아베다학생지구환경과 Жыл бұрын
for seasonal analysis, i want to take winter as DJF. in this case, if dec is in 1995, then jan and feb will be from 1996 and so on for all the other years until 2021. i have nc files, but i cant figure out how to extract data like this for winter. can anyone help me with this. i an working in python.
@tsehayenegash8394 Жыл бұрын
please upload in matlab or please inform me when you know the other uploader