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RESIDUAL ANALYSIS
This menu aims to perform residual analysis on a pre-loaded stock in order to do statistical modeling, and the usage of the following commands along with an example will be exploited below.
- pick
- pick one of the model fitting
- Currently Supported: Naive, ARIMA
- fit
- show model fit against stock
- res
- show residuals
- hist
- histogram and density curve
- qqplot
- residuals against standard normal curve
- acf
- (partial) auto-correlation function
- normality
- normality test (Kurtosis,Skewness,...)
- goodness
- goodness of fit test (Kolmogorov-Smirnov)
- arch
- autoregressive conditional heteroscedasticity
- unitroot
- unit root test / stationarity (ADF, KPSS)
- independence
- tests independent and identically distributed (BDS)
pick
usage: pick [-m MODEL]
Pick model to fit to stock data. Currently supported: Naive, ARIMA
- -m : model to fit to stock data. Default: None.
fit
usage: fit
Plot model fitting
res
usage: res
Plot residuals
hist
usage: hist
Histogram and density curve
qqplot
usage: qqplot
Qqplot time series against a standard normal curve
acf
usage: acf [-l LAGS]
(partial) auto-correlation function
- -l : maximum lags to display in plots. Default 40.
normality
usage: normality
normality test (Kurtosis,Skewness,...)
goodness
usage: goodness
goodness of fit test (Kolmogorov-Smirnov)
arch
usage: arch
autoregressive conditional heteroscedasticity with Engle's test
unitroot
usage: unitroot
unit root test / stationarity (ADF, KPSS)
independence
usage: independence
tests independent and identically distributed (i.i.d.) time series (BDS)




