Special Issue "Forecasting Commodity Markets"
Deadline for manuscript submissions: closed (31 August 2021).
Interests: exchange rates; commodity prices; time series econometrics; Bayesian econometrics; DSGE models
Interests: commodity market; time series econometrics; applied macroeconomics and financial market integration
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We all know that fluctuations in commodity prices exert a tremendous impact on the global economy, but also everyday life of many individuals. For that reason, understanding commodity price dynamics and the ability to formulate their reliable forecasts are important to take better economic policy or investment decisions.
The key question we ask in this SI is whether it is possible to develop a method that can be successfully applied in forecasting commodity prices. We welcome submissions:
- Discussing short and long-term forecasting;
- Focusing on individual as well as a broader range of commodities;
- Using traditional econometric models as well as machine learning methods or technical analysis.
The ultimate goal is to identify methods that allow us to better understand the dynamics of commodity markets and hence which can be exploited in practice in decision-taking process.
Prof. Dr. Michał Rubaszek
Prof. Gazi Salah Uddin
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forecasting is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- commodity prices
- time series models
- machine learning methods
- nonlinear models
- technical analysis