Hi everyone.
I'm doing a project in university at the moment where I have to write a program that monitors wheat prices (very interesting). The problem I'm having at the moment is that the program has to implement a GARCH (generalized autoregressive conditional heteroskedasticity) model.
Wikipedia link: en.wikipedia.org/wiki/Autoregressive_conditional_heteroskedasticity
Mind = Blown.
Having never done anything even remotely like this, I am in way over my head. From what I can understand, it will be used to predict the optimal prices for selling wheat. I really have no idea how to approach this. It doesn't necessarily have to be a GARCH model, it just has to be similar.
If anyone could help me with this I'd really appreciate it. Thanks.
(ACHHH! This is in the wrong forum. Am I able to delete this?)