LSE - Delayed Quote GBp

JPM Emerging Markets Income Fund X - Net Accumulation (0P0000RSXA.L)

154.00
+2.00
+(1.32%)
At close: October 14 at 9:00:00 PM GMT+1

Fund Summary

The fund seeks to provide a portfolio designed to achieve income by investing primarily in Equity and Equity-Linked Securities of Emerging Markets companies in any economic sector whilst participating in long-term capital growth.

JPM Emerging Markets Income Fund X - Net Accumulation

60 Victoria Embankment

Fund Overview

Category Global Emerging Markets Equity
Fund Family JPMorgan Funds Limited
Net Assets 422.93M
YTD Return 15.06%
Yield 3.92%
Morningstar Rating
Inception Date Jan 29, 2013

Fund Operations

Last Dividend 0.03
Last Cap Gain 0.00
Holdings Turnover 35.25%
Average for Category --

Fees & Expenses

Expense 0P0000RSXA.L Category Average
Annual Report Expense Ratio (net) 0.00% 0.00%
Prospectus Net Expense Ratio 0.00% --
Prospectus Gross Expense Ratio 0.00% --
Max 12b1 Fee -- --
Max Front End Sales Load 0.00% --
Max Deferred Sales Load -- --
3 Yr Expense Projection 0 --
5 Yr Expense Projection 0 --
10 Yr Expense Projection 0 --

Management Information

Omar Negyal, Lead Manager since November 19, 2012
Omar Negyal, executive director, is a portfolio manager within the Emerging Markets and Asia Pacific Equities Team, based in London. An employee since 2012, Omar joined the firm with 14 years of experience in Emerging Markets gained through previous analyst and portfolio management roles at HSBC Global Asset Management, Lansdowne Partners and F&C Asset Management. Omar has an MA, MEng in Chemical Engineering from the University of Cambridge and is 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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