All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Development of Milk Prices in the Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027251%3A_____%2F18%3AN0000027" target="_blank" >RIV/00027251:_____/18:N0000027 - isvavai.cz</a>

  • Alternative codes found

    RIV/61384399:31140/18:00051680

  • Result on the web

    <a href="https://uni.uhk.cz/hed/site/assets/files/1072/proceedings_2018_2.pdf" target="_blank" >https://uni.uhk.cz/hed/site/assets/files/1072/proceedings_2018_2.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Development of Milk Prices in the Czech Republic

  • Original language description

    The sector of milk production underwent through the crisis. Knowing the future price can help the management of the farm to minimize the risks related to the decision-making in production. Hence, the aim of the paper is to find optimal model for modelling of monthly prices of milk from 01/1998 to 06/2016 and predict them for 07/2016-06/2017. First, the development of milk producers' prices is modelled by Autoregressive Integrated Moving Averages models. Consequently, the relations with monthly prices of maize (02/2006-06/2016) were examined using Vector Autoregressive (VAR) model. ARIMA model suggests prices of milk in the interval from 5.97 CZIC/I to 7.06 CZK/I that is more realistic prediction than in case of VAR model that predicts lower prices (5.86-6.38 CZK/I). There might be missing some important variables in VAR model of prices of milk that can improve the prediction capability. Therefore, the challenge for future research is to improve the models further using regression analysis with relevant determinants.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

    <a href="/en/project/GBP402%2F12%2FG097" target="_blank" >GBP402/12/G097: DYME-Dynamic Models in Economics</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    16th International Scientific Konference on Hradec Economic Days

  • ISBN

    978-80-7435-701-5

  • ISSN

    2464-6059

  • e-ISSN

    2464-6067

  • Number of pages

    11

  • Pages from-to

    378-388

  • Publisher name

    Univerzita Hradec Králové

  • Place of publication

    Hradec Králové

  • Event location

    Hradec Králové

  • Event date

    Jan 30, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000449443600037