LSE - Delayed Quote GBp

M&G Global Government Bond GBP A Inc (0P00000CAX.L)

74.48 -0.44 (-0.59%)
As of April 25 at 9:00 PM GMT+1. Market Open.

Fund Summary

M&G Global Government Bond GBP A Inc

10 Fenchurch Avenue
+44 (0)800 390 390

Fund Overview

Category --
Fund Family M&G Securities Ltd
Net Assets 80.44M
YTD Return -2.70%
Yield 3.89%
Morningstar Rating
Inception Date Oct 04, 1999

Fund Operations

Last Dividend 0.01
Last Cap Gain --
Holdings Turnover 150.41%
Average for Category --

Fees & Expenses

Expense 0P00000CAX.L 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

Eva Sun-Wai became the lead manager on the Global Government Bond strategy and deputy manager on the Global Macro Bond strategy in January 2021. Since September 2019, Eva had been a junior macro fund manager in the Wholesale Fixed Income team, where her role involved implementing macroeconomic trade ideas in the Global Macro Bond and the Absolute Return Bond strategies. She joined M&G in 2018 on the Investment Graduate Scheme, rotating across several business areas including emerging market debt, corporate credit research, real estate and long-term investment strategy. Before joining M&G, she worked on passive products and ETF strategies as a summer intern at State Street Global Advisors. Eva has a BSc (Hons) Economics degree from the University of Birmingham, has obtained the IMC and Financial Services Level 6 qualifications and is a Level 2 candidate in the CFA Program.

Morningstar Style Box

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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