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It's all more simply called foundation.
Here, as an example, is the processing of the weekly data from 02 to 06 May 2016:
The equation turns out Euro = 1.79847 + 0.000413*$ - 0.00039*gold - 0.83114*franc +0.422074*pound. We see a complete coincidence of the actual and calculated euro/dollar prices, as there are only 5 initial data points. It could not be otherwise, as this procedure is a kind of test for impeccability of formulas and algorithm. When the amount of data is larger, each tool will show its true face. If you try to recalculate on a calculator, you will not get a match, because not all significant figures are given, which are in the bowels of the computer. I guess it is understandable. I show those who doubt that the calculation formulas and the algorithm itself are impeccable. Now, the algorithm can handle any amount of data and any tool or factor.
I wish I could find an algorithm to change these coefficients!
If the coefficients change, then the wrong factors have been taken and/or the dependence is non-linear.
If the coefficients change, then the wrong factors have been taken and/or the dependence is non-linear.
The coefficients will change anyway.
another nonsense.
If the model is adequate for a stationary process - the coefficients will not change or will change insignificantly
You take an ordinary neural network, MLP type, input your 4 or more factors and output the price, train it and then check the results on the control section. I trained more than one layer of neurons )) result, in most cases, will be nothing... but maybe someday you'll get lucky ) And yes, you'll have to wait a long time.
another nonsense.
If the model is adequate to a stationary process - the coefficients will not change or will change insignificantly
You are talking nonsense.
You don't see the difference between the model and the input process -- get a handle on these concepts, then maybe you won't talk nonsense like this last one.