AllianceBernstein

2019 Top 400 ranking: 37http://www.alliancebernstein.com

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Key Data

2019 Q2 - Assets under management

2019 Q2 - Breakdown by client type

2019 Q1 - Assets under management

2019 Q1 - Breakdown by client type

2018 Q4 - Assets under management

2018 Q4 - Breakdown by client type

2018 Q3 - Assets under management

2018 Q3 - Breakdown by client type

Q2 2018 - Assets under management

Q2 2018 - Breakdown by client type

Q1 2018 - Assets under management

Q1 2018 - Breakdown by client type

Q4 2017 - Assets under management

Q4 2017 - Breakdown by client type



Data from the IPE Top 400 Asset Managers as at 31 December 2018

Click here to see more Top 400 data.

Key Data - Total group AUM worldwide

Key Data - AUM for external institutional clients worldwide

Key Data - Type of external institutional clients worldwide

Head Office
50 Berkeley Street
London
W1J 8HA
United Kingdom
Contact
Nitish Sharma Tel. +44 20 7959 4771
Company website:
http://www.alliancebernstein.com
Parent Company:
AllianceBernstein L.P.
Year Founded:
1967
No. of investment offices worldwide:
17

What’s new

  • Why Asset Managers Need Their Own Social Networks

    Why Asset Managers Need Their Own Social Networks

    White papersFri, 21 Jun 2019

    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.

  • Turning Big Data into Big Investment Insights

    Turning Big Data into Big Investment Insights

    White papersThu, 20 Jun 2019

    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.

  • How Machine Learning Can Help Bond Investors

    How Machine Learning Can Help Bond Investors

    White papersWed, 19 Jun 2019

    When a group of graduate students asked Warren Buffett about the best way to prepare for an investing career, he held up a stack of Securities and Exchange Commission filings. “Read 500 pages like this every day,” he told them. “That’s how knowledge works. It builds up like compound interest.”

  • Cracking the Code: Investment Management Tackles Data Science

    Cracking the Code: Investment Management Tackles Data Science

    White papersWed, 19 Jun 2019

    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?

  • China’s Great Wall of Worry: Myths vs. Realities

    China’s Great Wall of Worry: Myths vs. Realities

    White papersWed, 5 Jun 2019

    China’s rise as a preeminent economic power makes it impossible for globally minded investors to ignore. With the integration of China’s domestic-listed equities and bonds into major global indices, the potential of investing in the broad economy is increasingly opening to the world. It’s time, then, for investors to familiarize themselves with misconceptions that can distort the view of China’s economy and corporate landscape. 

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