MSCI Barra Switches Models to Daily Data
DATA DISPLAY & ANALYTICS
Berkeley, Calif.-based risk data and software vendor MSCI Barra is moving the calculation of all of its risk models from a monthly to a daily basis, to produce more accurate estimates and meet demand from hedge funds for more frequent data.
The vendor began experimenting with daily data in 1999 and tested it with clients in 2000. However, it did not roll out any live models using daily data until 2004, the first of which were for US and Japanese equities.
Through the 1980s and 1990s—with the
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
Waters Wavelength Podcast: S&P’s CTO on AI, data, and the future of datacenters
Frank Tarsillo, CTO at S&P Global Market Intelligence, joins the podcast to discuss the firm’s approach to AI, the importance of data, and what might be in store for datacenters in the coming years.
Breaking out of the cells: banks’ long goodbye to spreadsheets
Dealers are cutting back on their use of Excel amid tighter regulation and risk concerns.
BMO’s cloud migration strategy eases AI adoption
The Canadian bank is embracing a more digital future as its cloud strategy makes gains and it looks to both traditional machine learning and generative AI for further augmentation.
Waters Wrap: GenAI and rising tides
As banks, asset managers, and vendors ratchet up generative AI experiments and rollouts, Anthony explains why collaboration between business and tech teams is crucial.
People Moves: NorQuant, Tradition, Duco, HKEx, SimCorp, Hazeltree, Xceptor, Broadridge, and more
A look at the past month’s people moves in the capital markets technology and data space.
Northern Trust building internal cloud data ‘marketplace’
Using a mix of in-house expertise and third-party technologies, the firm has constructed a cloud-based data mesh that gives internal staff access to proprietary datasets and analytical tools to deliver greater insights into client activity.
FactSet looks to build on portfolio commentary with AI
Its new solution will allow users to write attribution summaries more quickly and adds to its goal of further accelerating discoverability, automation, and innovation.
How Ally found the key to GenAI at the bottom of a teacup
Risk-and-tech chemistry—plus Microsoft’s flexibility—has seen the US lender leap from experiments to execution.
Most read
- Chris Edmonds takes the reins at ICE Fixed Income and Data Services
- Waters Wavelength Podcast: S&P’s CTO on AI, data, and the future of datacenters
- BMO’s cloud migration strategy eases AI adoption