High-frequency Forecasting
High-Frequency Forecasting is a short-term forecasting methodology that specifically leverages densely sampled, high-frequency data to capture rapid temporal dynamics and enable precise, near real-time predictions, distinguishing it from conventional forecasting approaches that operate on lower-frequency or aggregated time series data.
163
Publications
11.2K
Citations
395
Authors
282
Institutions
Publications per year
2017–2026
83
Parents
163
Stock Price Prediction via Discovering Multi-Frequency Trading Patterns
Liheng Zhang, Charų C. Aggarwal, Guo-Jun Qi · 2017 · 433 citations · Full text
Computing, Data Science, Finance +17
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282
Duke University
Durham, United States
6 h-index
10 publications
2.7K citations
Federal Reserve
Washington D.C., United States
4 h-index
10 publications
739 citations
University of Oxford
Oxford, United Kingdom
4 h-index
4 publications
980 citations
University of Stavanger
Stavanger, Norway
4 h-index
8 publications
1K citations

National Bureau of Economic Research
Cambridge, United States
3 h-index
5 publications
385 citations
Federal Reserve Board of Governors
Washington D.C., United States
3 h-index
6 publications
203 citations

Aarhus University
Aarhus, Denmark
3 h-index
3 publications
135 citations
IPAG Business School
Paris, France
3 h-index
3 publications
89 citations
1–8 of 282
Repository · 19 publications · 729 citations
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10 publications · 365 citations
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9 publications · 639 citations
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9 publications · 574 citations
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5 publications · 502 citations
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