Empirická analýza časových řad nakupovaných komodit v průmyslovém podniku

Abstract

Commodities have traditionally strong status among the traders, even stronger than stocks indices. High trade volume and more factors cause high volatility in these markets. The regression and correlation analysis is used in this dissertation to make decisions about purchasing power and gas easier for buyers in an industrial company. Sophisticated methods, including exponential smoothing, are performed in the SPSS Statistics.