Price development of selected agricultural commodity

Bachelor thesis aims on price development of tea in Kenya. Introductory part includes basic information about tea, its sorts and its cultivation. Subsequently the biggest world tea producers and exporters are introduced and then the thesis is devoted to the system of defining and creating tea price. This chapter comprises descriptions of individual factors influencing tea price as. Methods such as regression and correlation analysis, and time series analysis were used for analyzing of tea price development. The results of regression and correlation analysis revealed that tea price within the time span of one year is influenced from 40 % by the volume of concrete country´s production, whereas tea price within one month is influenced from 6 % by the volume of country´s production. According to time series analysis tea price will grow in the future. However having a look into the past, sudden tea price jumps can not be excluded