Value at risk for Konsesjonskraft IKS
Abstract
ARMA models and uni- and multivariate ARMA-GARCH models are estimated based on logreturns from time series of electricity price data from 2005 to 2019. The electricity price dataare Nord Pool day-ahead spot prices and 1-3 years Nasdaq OMX forward contracts. The ARMAand ARMA-GARCH models were evaluated based on moving window, one-day walk forwardcalculations of AIC and BIC, and forecast testing towards an exponential weighted movingaverage 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 atrisk for the required capital reserve for Konsesjonskraft IKS. The analyses did not provideany usable forecast because of not converging ARMA forecasts and divergent ARMA-GARCHmodels, 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 BICand for forecasting evaluations to compare different model types, and the methodology is wellprepared for further development including other explanatory factors. A univariate GARCHmodel approach is suggested for future development.