Publication2027
A Fusion Approach to Enhance the Prediction of Stock Prices
The record
- Type
- Publication
- Date
- 1 January 2027
- Level
- National
- Journal
- Smart Innovation Systems and Technologies
- Volume
- 486 SIST
- Pages
- 649-658
- Published
- 1 January 2027
- DOI
- 10.1007/978-981-95-9101-5_48
- Scopus ID
- 105046817801
- ISSN
- 21903018
- Authors
- 4
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
8.3 Promote development-oriented policies that support productive activities, decent job creation and entrepreneurship
Hybrid LSTM-ARIMA model for stock price prediction improves financial forecasting with reduced training data.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2.3 Services and the knowledge economy
Financial modeling and economic forecasting contributes to services and knowledge economy.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “A Fusion Approach to Enhance the Prediction of Stock Prices”. Kortex.