Several principles are useful for econometric forecasters: keep the model simple, use all the data you can get, and use theory (not the data) as a guide to selecting causal variables. But theory gives little guidance on dynamics, that is, on which lagged values of the selected variables to use. Early econometric models failed in comparison with extrapolative methods because they paid too little...

Research Question: The launch and the beginning of trade on South East Electric Power Exchange (SEEPEX) in Belgrade, early 2016, opened issue forecasting volatility price movements market. Motivation: is vital importance for all market actors purpose maximising profits, reducing risks, planning production making investment decisions. Forecasting electric power markets important traders with pro...

Mixed linear models can be used to improve the informational value of milk yield forecasts. For this purpose two different functional approaches for modelling lactation curves are as well compared as three linear mixed models with varying random effects of individual animals and lactation numbers. It can be shown that more complex random regression models fit significantly better than fixed reg...