SSRNEconometrics & Forecasting
Unsupervised ML in Financial Time-Series Analysis
The study merges ontological methodology and temporal clustering to detect structural changes and crucial periods in financial time series, building on prior research in commodity markets.
Featured in No. 7 on 12 Jul 2023 · 59 days after release
- Released
- 14 May 2023
- First featured
- No. 7 · 12 Jul 2023
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 2
- Identifier
- SSRN 4503933
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