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AB SICAV I - US Low Volatility (0P0001RQIW.F)

17.43 -0.15 (-0.85%)
At close: September 5 at 10:00 PM GMT+2

Fund Summary

AB SICAV I - US Low Volatility

57樓之一 台北101大樓 信義路五段七號 台北

Fund Overview

Category --
Fund Family AllianceBernstein (Luxembourg) S.à r.l.
Net Assets --
YTD Return 16.57%
Yield --
Morningstar Rating --
Inception Date Jun 15, 2021

Fund Operations

Last Dividend --
Last Cap Gain --
Holdings Turnover 55.48%
Average for Category --

Fees & Expenses

Expense 0P0001RQIW.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

Kent W. Hargis, Lead Manager since June 15, 2021
Kent Hargis was promoted to Co-Chief Investment Officer of Strategic Core Equities in 2018. He has been managing the Global, International and US portfolios since their inception in September 2011, and the Emerging Markets Strategic Core portfolio since January 2015. Hargis was named Head of Quantitative Research for Equities in 2009, with responsibility for overseeing the research and application of risk and return models across the firm’s equity portfolios. He joined the firm in October 2003 as a senior quantitative strategist.

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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