Econometrics: one step ahead forecast - page 43
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It was not a question of choosing the sample size to analyse, but of the forecast horizon. I don't think it should be fixed in time, but if you really want to discuss what its value depends on, then the size of the sample to be analysed is one of the factors
I remember you promised me a model in the state space on Monday.
First of all, I don't owe you anything. Secondly, I have other pressing concerns. Thirdly, my statement included the proviso "if nothing interferes". Fourthly, your attitude to techies is not conducive to an atmosphere of mutual assistance. And fifthly, considering your level of knowledge you should thoroughly study such model, and for this you need a lot of time.
In particular, familiarity with the theory of differential equations would be required -- how well do you master this matter?
zy.
And I'll make an example of model in state space - it will be useful. Now I'm doing another experiment -- I'll use this real example of actual data to build a model. But it's a slow process -- I'm going to fit the model to the process, not the process to the model.
And I used to think it was stupidly commutative all the time:
Подгонять( модель, процесс ) = Подгонять( процесс, модель ).
Never mind, keep discussing...
And I used to think it was stupidly commutative all the time:
Подгонять( модель, процесс ) = Подгонять( процесс, модель ).
Never mind, keep discussing...
And what do you yourself see as the fundamental differences between these... er... functions? I, for example, am still frankly confused.
And I used to get the impression that everything here is stupidly commutative:
Подгонять( модель, процесс ) = Подгонять( процесс, модель ).
Never mind, keep discussing...
IMHO
Empirical approach:
look at the data
come up with a model that can describe the observed phenomena
estimate the parameters of the model using the available data
if the model works poorly, we devise another model
Theoretical approach:
build a theory which presumably results in the observed process
build a model for optimal trade (prediction) on the basis of the proposed theory
estimate the parameters of the model using the data available
If the model works poorly - think out another theory