Hello everybody,

I'm unsure which stats to use for the following problem:

I've got a list of prices for stocks of a certain date. In that list I also have two predictions for prices for the same date. I want to see which prediction is better and whether there is a difference in predictive power.

So I've got:

actual prices, prices according to predictor A, prices according to predictor B. (>10.000 cases)

A correlation would be unsuitable as I'm not interestet in the relationship between the predictors. My guess is that some sort of ANOVA would be the way forward. I thought about a MANOVA. Am I on the right way?

Cheers,

Paul

I'm unsure which stats to use for the following problem:

I've got a list of prices for stocks of a certain date. In that list I also have two predictions for prices for the same date. I want to see which prediction is better and whether there is a difference in predictive power.

So I've got:

actual prices, prices according to predictor A, prices according to predictor B. (>10.000 cases)

A correlation would be unsuitable as I'm not interestet in the relationship between the predictors. My guess is that some sort of ANOVA would be the way forward. I thought about a MANOVA. Am I on the right way?

Cheers,

Paul

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