AB / Using Data Science to Track the Recovery

Using Data Science to Track the Recovery

Economies have started to recover from the COVID-19 crisis, with many areas reopening in stages. But the paths to a new normal vary a lot—and are subject to the uncertainty of the virus trajectory. This dashboard uses alternative data to provide an up-to-date visual look at US and global key indicators. We’ve also included videos that describe how AB is using modern data-science techniques to generate insights.

Check back regularly for updates.

Crisis Dashboard:
Big Data Helps Paint the Big Picture (June Update)

As investors look for signs of a return to normalcy from the coronavirus crisis, they have a dizzying array of indicators to choose from. We’ve assembled a group of signals, with the help of big data, that may point the way.

Jonathan Berkow, Scott Krauthamer

June 03, 2021

US State-by-State Activity Heat Map

Through July 20, 2021
Source: Apple, Google, OpenTable, and HomeBase

US State Activity Trends

Through July 20, 2021
Source: Apple, Google, OpenTable, and HomeBase

Cracking the Code:
Investment Management Tackles Data Science

Data science, artificial intelligence (AI) and machine learning are hot topics in investment management, as firms look for new ways to model investing problems and generate differentiated insights. But data science is also relatively new to the industry—and that means growing pains. What does it take to get it right?

Andrew Chin | 19 June 2019

Turning Big Data into Big Investment Insights

What do airline ticket prices, car sales and thousands of corporate filings have in common? In each of these areas, we applied advanced big data techniques to tackle an equity investing conundrum that couldn’t be solved by human researchers alone.

Nelson Yu, Chris Hogbin | 20 June 2019

US and Global Activity Trends

Through July 20, 2021
Source: Apple, Google, OpenTable, and HomeBase

Data Science: Start with a Question

There's More than “Data” in Data Science

How Machine Learning Can Help Bond Investors

For most investors, there aren’t enough hours in the day to comb through the onslaught of data coming at them. Artificial intelligence and machine learning are changing this—and bond managers are starting to take notice.

Bernd Wuebben, Jeff Skoglund, Gershon Distenfeld | 19 June 2019

Why Asset Managers Need Their Own Social Networks

The digital age gave professional investors near-instantaneous access to a vast trove of data, but organizational silos have sometimes prevented subsequent insights from spreading widely. That’s changing, however, as new digital platforms make it easier for money managers to share real-time information with colleagues across asset classes and strategies.

Scott Krauthamer | 19 June 2019

Using Data Science to Track the Recovery

Crisis Dashboard:
Big Data Helps Paint the Big Picture (June Update)

US State-by-State Activity Heat Map

US State Activity Trends

Cracking the Code:
Investment Management Tackles Data Science

Turning Big Data into Big Investment Insights

US and Global Activity Trends

Data Science: Start with a Question

There's More than “Data” in Data Science

How Machine Learning Can Help Bond Investors

Why Asset Managers Need Their Own Social Networks

{{help_item.header}}

{{help_item.header}}

{{help_item.header}}

Using Data Science to Track the Recovery

Crisis Dashboard: Big Data Helps Paint the Big Picture (June Update)

US State-by-State Activity Heat Map

US State Activity Trends

Cracking the Code: Investment Management Tackles Data Science

Turning Big Data into Big Investment Insights

US and Global Activity Trends

Data Science: Start with a Question

There's More than “Data” in Data Science

How Machine Learning Can Help Bond Investors

Why Asset Managers Need Their Own Social Networks

{{help_item.header}}

{{help_item.header}}

{{help_item.header}}

Crisis Dashboard:
Big Data Helps Paint the Big Picture (June Update)

Cracking the Code:
Investment Management Tackles Data Science