Short-Term Forecasting of Global Energy and Metal Prices: VAR and VECM Approaches
This study introduces a set of multivariate models with the aim of forecasting global prices of 1) crude oil, 2) natural gas, 3) iron ore, and 4) steel. Various versions of vector autoregression and error-correction models are applied to monthly data for the short-term prediction of nominal commodit...
Saved in:
Main Author: | Diana Balioz |
---|---|
Format: | Article |
Language: | English |
Published: |
National Bank of Ukraine
2022-12-01
|
Series: | Visnyk of the National Bank of Ukraine |
Subjects: | |
Online Access: | https://journal.bank.gov.ua/en/article/2022/254/02 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Price Forecasting Through Multivariate Spectral Analysis: Evidence for Commodities of BM&Fbovespa
by: Carlos Alberto Orge Pinheiro, et al.
Published: (2016-01-01) -
Using Futures Prices and Analysts’ Forecasts to Estimate Agricultural Commodity Risk Premiums
by: Gonzalo Cortazar, et al.
Published: (2025-01-01) -
LONG-RUN AND SHORT-RUN CAUSALITY BETWEEN STOCK PRICE INDICES AND MACROECONOMIC VARIABLES: EVIDENCE OF PANEL VECM ANALYSIS FROM BOSNIA AND HERZEGOVINA, CROATIA, NORTH MACEDONIA AND SERBIA
by: Goran Mojanoski
Published: (2022-11-01) -
LONG-RUN AND SHORT-RUN CAUSALITY BETWEEN STOCK PRICE INDICES AND MACROECONOMIC VARIABLES: EVIDENCE OF PANEL VECM ANALYSIS FROM BOSNIA AND HERZEGOVINA, CROATIA, NORTH MACEDONIA AND SERBIA
by: Goran Mojanoski
Published: (2022-11-01) -
ENERGY CONSUMPTION, TRADE OPENNESS AND GROWTH NEXUS IN TURKEY: EVIDENCE FROM VECM
by: Elma Satrovic
Published: (2019-05-01)