Goldman taps alt data for economic forecasts during pandemic
Economists at the bank leveraged a combination of public and third-party data to make conclusions about the future during uncertain times.

Like ski resorts or beach towns, the economies that surround large college campuses are highly reliant on their seasonal clientele. When Covid-19 struck in 2020, and colleges across the US ordered all or at least some of their students to stay inside—or even to return home—the bars, coffee shops, and retailers that were used to catering to hordes of students suffered.
For economists at Goldman Sachs, whose job it is to make economic predictions, the plight of these college-town businesses
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: https://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.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
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. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Data Management
S&P Global partners with IBM, Eventus launches Frank AI, Tradeweb expands algo execution abilities, and more
The Waters Cooler: Arcesium makes waves with Aquata Marketplace, NYSE Cloud flows into Blue Ocean Technologies, and more in this week’s news roundup.
Is market data compliance too complex for AI?
The IMD Wrap: Reb looks at two recent studies and an article by CJC, which cast doubt on AI’s ability to manage complexity.
Robinhood looks to ‘Chaos Monkey’ for op resilience playbook
As firms look to break down silos across business divisions to bolster operational resilience, the US broker is ditching emails, while utilizing chaos engineering and automating everything in sight.
Can AI be the solution to ESG backlash?
AI is streamlining the complexities of ESG data management, but there are still ongoing challenges.
Drilling down into data redistribution
A series of podcasts focusing on data redistribution across the financial services industry.
Will return-to-office mandates fuel market data brain drain?
The IMD Wrap: Increasingly, market data systems can be operated completely remotely. So, why are firms insisting that data professionals return to the office?
Industry vets ally to launch full-service data consultancy
The new company combines the skills and experience of individuals and firms that each serve different needs of the data industry.
M&G Investments replaces research platform with Bloomberg’s RMS
The chief investment officer of the London-based asset manager explains why the firm opted to use Bloomberg’s RMS platform for its research capabilities.
Most read
- Waters Wavelength Ep. 334: BofA’s Krishnan and McInnes
- Is market data compliance too complex for AI?
- Robinhood looks to ‘Chaos Monkey’ for op resilience playbook