dc.description.abstract | ARMA models and uni- and multivariate ARMA-GARCH models are estimated based on log
returns from time series of electricity price data from 2005 to 2019. The electricity price data
are Nord Pool day-ahead spot prices and 1-3 years Nasdaq OMX forward contracts. The ARMA
and ARMA-GARCH models were evaluated based on moving window, one-day walk forward
calculations of AIC and BIC, and forecast testing towards an exponential weighted moving
average benchmark model following a bootstrap procedure. Based on historical performance,
models are chosen and used for out-of-sample forecasting as a basis for calculating value at
risk for the required capital reserve for Konsesjonskraft IKS. The analyses did not provide
any usable forecast because of not converging ARMA forecasts and divergent ARMA-GARCH
models, thus, further model screening and selection is required. However, the study has contributed to creating a script for model screening including historical calculation of AIC and BIC
and for forecasting evaluations to compare different model types, and the methodology is well
prepared for further development including other explanatory factors. A univariate GARCH
model approach is suggested for future development. | |