Algorithmic Trading In Commodities
Algorithmic Trading in Commodities is a computational trading methodology that automates the execution of commodity market transactions through predefined algorithmic rules, distinguished from conventional trading approaches by its reliance on mathematical models, high-frequency data processing, and systematic risk-control mechanisms to exploit price inefficiencies across commodity markets.
14
Publications
275
Citations
34
Authors
19
Institutions
Publications per year
2017–2026
7
Parents
14
1–5 of 14
34
1
h-index
1
h-index
1 publications · 14 citations
1
h-index
1
h-index
1
h-index
1–5 of 34
19
Copenhagen Business School
Copenhagen, Denmark
2 h-index
2 publications
40 citations
University of Tartu
Tartu, Estonia
1 h-index
1 publications
13 citations
Florida International University
Miami, United States
1 h-index
1 publications
41 citations
Northwestern University
Laoag, Philippines
1 h-index
1 publications
18 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
2 publications
54 citations

University of South Australia
Adelaide, Australia
1 h-index
1 publications
24 citations
Central University of Finance and Economics
Beijing, China
1 h-index
1 publications
11 citations
Columbia University
New York, United States
1 h-index
1 publications
11 citations
1–8 of 19
4 publications · 92 citations
4
h-index
JRFM · 2 publications · 25 citations
2
h-index
1 publications · 17 citations
1
h-index
1 publications · 24 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5