Frankfurt - Delayed Quote EUR

Allianz Smart Energy AT H2 EUR (0P0001IO3E.F)

121.58 -0.62 (-0.51%)
At close: August 23 at 10:00 PM GMT+2

Fund Summary

Allianz Smart Energy AT H2 EUR

L-2633 Senningerberg

Fund Overview

Category --
Fund Family Allianz Global Investors GmbH
Net Assets --
YTD Return -1.82%
Yield 0.00%
Morningstar Rating --
Inception Date Oct 30, 2019

Fund Operations

Fees & Expenses

Expense 0P0001IO3E.F 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

Shibo Wang is an Associate Portfolio Manager of Thematic Equity team. He manages China-related thematic products and sponsors investment ideas from China and other Asian markets to global thematic funds. Shibo joined Allianz Global Investors through the Global Graduate Programme in Frankfurt in 2017 and then joined the Thematic Equity team and relocated to Hong Kong in 2019. Shibo worked in Société Générale prior to joining AllianzGI and had fulltime internships with HSBC and Bloomberg New Energy Finance during his Master’s degree studies. Shibo graduated from EDHEC Business School in France, with double degree (Grande Ecole) MSc in Risk & Finance and Master in Management. Prior to this, he obtained a Bachelor Degree in Nuclear Engineering from Harbin Institute of Technology in China. Shibo is also a CFA charterholder.

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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