Chief Editor
  • Prof. Christina Nikolova, PhD
Editorial Board
  • Prof. Christina Nikolova, PhD - UNWE
  • Prof. Elka Todorova, DSc. - UNWE
  • Prof. Maya Lambovska, DSc. - UNWE
  • Assoc. Prof. Todor Nedev, PhD - UNWE
  • Assoc. Prof. Dorina Kabakchieva, PhD - UNWE
  • Assoc. Prof. Paskal Zhelev, PhD - UNWE
Scientific Secretary
  • Assoc. Prof. Aleksandar Valkov, PhD - UNWE
Coordinator
  • Assist. Prof. Veselina Lyubomirova, PhD - UNWE
International Editorial Board
  • Damian Stantchev, PhD
    Edinburgh NAPIER University, UK

  • Ivaylo Vassilev, PhD
    University of Southampton,UK

  • Prof. Irina Kuzmina-Merlino, PhD
    Transport and Telecommunication Institute, Riga

  • Milan Zdravkovic
    University of Niš, Serbia

  • Prof. Niculae Mihaita, PhD
    Bucharest Academy of Economic Studies, Romania

  • Prof. Ricardo Jardim-Gonçalves, PhD
    UNINOVA institute, New University of Lisbon, Portugal

  • Prof. Ing. Jaroslav Belás, PhD
    Tomas Bata University in Zlín, Czech Republic

  • Prof. John Rijsman, PhD
    Tilburg University

  • Prof. Ing. Zdenek Dvorák, PhD
    University of Zilina, Slovak Republic

  • Prof. Zoran Cekerevac, PhD
    “Union – Nikola Tesla” University in Belgrade, Serbia

Commodity Market Structure and Risk Factor Analysis in Bulgaria
YEARBOOK OF UNWE
year 2021
Issue 2

Commodity Market Structure and Risk Factor Analysis in Bulgaria

Abstract

Analyzing the Bulgarian raw material, crude oil and natural gas markets is an important step in setting up an early warning system (EWS). The Comprehensive Price Index is based on the weighting of imports from the energy and non-energy sectors, including the crude oil sector. The explanatory variables that describe the crisis index are analyzed and predicted by the ordered Probit model. The EWS system developed in this study takes into account the most important measurable variables that affect the raw material market, and based on this understanding, we focus on which variables can represent risk.

JEL: C53, Q31, Q32

Keywords

raw material market, oil and natural gas market, early warning system, probit model
Download YB.2021.2.04.pdf

ISSN (print): 1312-5486
ISSN (online): 2534-8949