TY  - JOUR
T1  - Emission Allowances Prices Predictions for the Purposes of Managerial Decision Making
AU - Hunka, Frantisek AU - Zimmermannova, Jarmila 
JO  - International Business Management
VL  - 9
IS  - 6
SP  - 1508
EP  - 1516
PY  - 2015
DA  - 2001/08/19
SN  - 1993-5250
DO  - ibm.2015.1508.1516
UR  - https://makhillpublications.co/view-article.php?doi=ibm.2015.1508.1516
KW  - Emission allowances trading
KW  -LFLF model
KW  -EUA price
KW  -fuzzy modelling
KW  -prediction
KW  -LFLF model
AB  - This study is focused on predictions of emission allowances prices within the EU ETS for the purposes of managerial decision making; precisely the study presents possibilities of the EUA auction price development forecasts with application of so called unconventional managerial decision-making methods as linguistic and fuzzy models. Firstly, the study presents the background of the EU emissions trading system and an overview of different methods used in current research connected with CO<SUB>2</SUB> emission allowances. The key task of the study is an application of one selected model of the fuzzy models group to emission allowances price development predictions. In this consequence, the study presents comparison of prediction results obtained from LFLF and ARIMA models. The prediction errors, advantages and disadvantages of LFLF are discussed; furthermore, the practical usage of emission allowances price predictions in decision making process is suggested. LFLF model can be valuable tool for predictions of the EUA price development since the errors are similar as regarding ARIMA model; however, LFLF is able to predict more precisely the shape of the price development curve.
ER  -