Other OTC - Delayed Quote USD

Allianz EMs Mlt Ast Inc W USD (0P0001I4BA)

900.14 -3.24 (-0.36%)
At close: April 22 at 4:00 PM EDT

Fund Summary

Allianz EMs Mlt Ast Inc W USD

L-2633 Senningerberg

Fund Overview

Category --
Fund Family Allianz Global Investors GmbH
Net Assets 5.74M
YTD Return 3.33%
Yield 4.13%
Morningstar Rating
Inception Date Jul 30, 2019

Fund Operations

Last Dividend 38.21
Last Cap Gain --
Holdings Turnover --
Average for Category --

Fees & Expenses

Expense 0P0001I4BA Category Average
Annual Report Expense Ratio (net) 0.00% --
Prospectus Net Expense Ratio 0.00% --
Prospectus Gross Expense Ratio 0.00% --
Max 12b1 Fee -- --
Max Front End Sales Load -- --
Max Deferred Sales Load -- --
3 Yr Expense Projection 0 --
5 Yr Expense Projection 0 --
10 Yr Expense Projection 0 --

Management Information

Dr Zijian Yang is the Head of Multi Asset Asia Pacific of Allianz Global Investors, based in Singapore. He was a portfolio manager in several Multi Asset teams with AllianzGI between 2008 and 2017, first located in Frankfurt am Main and later in Hong Kong. His last position was a senior vice president for Multi Asset Solutions at AllianceBernstein in Singapore, where he oversaw investment activities for multi asset in Asia. Zijian was also previously a fund manager at Schroders in Hong Kong, responsible for their flagship Multi Asset Fund of Funds business. Zijian holds a PhD degree in Computational Finance from the University of Essex, and he has been a CFA charterholder since 2012.

Morningstar Style Box

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Morningstar Category

While the investment objective stated in a fund's prospectus may or may not reflect how the fund actually invests, the Morningstar category is assigned based on the underlying securities in each portfolio. Morningstar categories help investors and investment professionals make meaningful comparisons between funds. The categories make it easier to build well-diversified portfolios, assess potential risk, and identify top-performing funds. We place funds in a given category based on their portfolio statistics and compositions over the past three years. If the fund is new and has no portfolio history, we estimate where it will fall before giving it a more permanent category assignment. When necessary, we may change a category assignment based on recent changes to the portfolio.

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