Identity
- Type
- company
- Country label
- USA
- HQ country
- USA
- Founding country
- not in the notes
- Parent
- not in the notes
- Parent country
- not in the notes
- Country basis
- the research notes
Where this comes from
Convention D1: a dual label, HQ first, when the HQ, founding or parent country differ.
Models by Class
Models
ModelClassOpennessParametersReleased
Lag-LlamaMorgan Stanley, ServiceNow (ServiceNow Research, Montreal), Universite de Montreal, Milatime series12 Oct 2023Links
Organisation
Morgan Stanleycompany, USA
Morgan Stanleycompany, USAUse Casesnone recorded
Who Runs Itnone recorded
Scores
Where this comes from
Every recorded score of this organisation's models, with who ran it. Scores from different settings are not directly comparable.
Sources
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting arxiv.org https://arxiv.org/html/2310.08278v3
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Morgan Stanley", https://aurion.semai.id/organisations/morgan-stanley/, records of October 2026.