OTC Markets OTCPK - Delayed Quote USD

ArabesqueQ3.17-Glb ESG Momt Flex Allc $ (0P00016HPU)

79.67 -1.56 (-1.92%)
As of July 24 at 4:00 PM EDT. Market Open.

Fund Summary

ArabesqueQ3.17-Glb ESG Momt Flex Allc $

Frankfurt am Main
Frankfurt am Main

Fund Overview

Category --
Fund Family Arabesque (Deutschland) GmbH
Net Assets --
YTD Return 6.24%
Yield 20.56%
Morningstar Rating
Inception Date Nov 07, 2018

Fund Operations

Last Dividend 5.79
Last Cap Gain --
Holdings Turnover --
Average for Category --

Fees & Expenses

Expense 0P00016HPU 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. Hans-Robert Arndt is the portfolio manager for the Global ESG Momentum Equity strategy and a founding partner of Arabesque overseeing more than $400mn in firm-wide AuM (as of July 2021). In collaboration with Arabesque’s AI quantitative research department, the team around Dr. Arndt focuses on the combination of advanced mathematics and informatics in the context of financial markets and the integration of such into the investment strategy development process. Prior to joining Arabesque, Dr. Arndt was Vice President in Sales Structuring at Barclays, developing bespoke multi-asset structuring solutions for institutional clients. He holds an M.Sc. and a Ph.D. in Mathematics from the University of Rostock (Germany) and has published his work in various journals.

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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