Hallo to everyone!
I was hoping someone can help me here with my struggle.
So, I am writing my thesis in behavioral finance and am analyzing mutual fund flows during covid to see if people exhibit risk averse behavior.
My Model is:
Fund Flow = beta1 * recent market return (SP500) + beta2 * implied market volatility (VIX) + beta3 * recent fund performance (last month return) + beta4*long term fund performance (5 year yield)
I want to make a regression to see which coefficient is impacting the fund flows most.
I have daily data (except weekends) for the fund flows, VIX and SP500
Last month performance is the same for the whole month and the 5 year yield is a constant number.
My question is now how can I make a regression with these time series. I don't need to forecast or plot. I only need the coefficients (hopefully statistically significant).
I really hope someone can help me.