How Does the Reform in Pricing Mechanism Affect the World’s Iron Ore Price: A Time-Varying Parameter SVAR Model
Yufeng Chen () and
Shuo Yang
Additional contact information
Yufeng Chen: School of Economics and Management, Zhejiang Normal University, Jinhua, 321004, China. College of Business Administration, Capital University of Economics and Business, Beijing, 100070, China. Corresponding author.
Shuo Yang: School of Economics and Management, Tsinghua University, Beijing, 100084, China. Research Center for Technological Innovation, Tsinghua University, Beijing, 100084, China.
Journal for Economic Forecasting, 2022, issue 2, 83-103
Abstract:
This paper employs a time-varying parameter structural vector autoregressive (TVP-SVAR) model to examine the dynamic impact of the reform of the pricing mechanism on the world’s iron ore price, drawing on the data from January 2005 to December 2021. The empirical results indicate that (1) the volatility of iron ore price has increased dramatically since the introduction of quarterly pricing mechanism based on spot price; (2) the reform of pricing mechanism changes the environment of iron ore market, and the iron-ore trading market has been obviously a shift from a seller’s market to a buyer’s market; (3) during the quarterly pricing mechanism, the iron ore price responds quickly to the supply and demand situation of the global market, and the strong demand in China replaces the BIG-3 supply as the key factor of the price of iron ore. Furthermore, reducing effect of speculation can be attributed to a more transparent pricing mechanism based on spot price and the advancement of the technological level. Based on the findings, the policy should focus on decreasing the strong demand for iron ore by improving the utilization ratio of scrap steel and by increasing overseas investment.
Keywords: iron ore price; pricing mechanism; TVP-SVAR; time-varying effect; spot price (search for similar items in EconPapers)
JEL-codes: D43 L72 Q31 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.ipe.ro/RePEc/rjef/rjef2_2022/rjef2_2022p83-103.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rjr:romjef:v::y:2022:i:2:p:83-103
Access Statistics for this article
Journal for Economic Forecasting is currently edited by Lucian Liviu Albu and Corina Saman
More articles in Journal for Economic Forecasting from Institute for Economic Forecasting Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ( this e-mail address is bad, please contact ).