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Nordea 1 - Low Duration US High Yield Bond Fund (0P0001BRNE.F)

13.67 +0.03 (+0.21%)
At close: October 26 at 10:00 PM GMT+2

Fund Summary

Nordea 1 - Low Duration US High Yield Bond Fund

PB 1166 Sentrum
+47 22 485420

Fund Overview

Category --
Fund Family Nordea Investment Funds SA
Net Assets --
YTD Return --
Yield 0.00%
Morningstar Rating
Inception Date Feb 21, 2012

Fund Operations

Last Dividend --
Last Cap Gain --
Holdings Turnover 9.02%
Average for Category --

Fees & Expenses

Expense 0P0001BRNE.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

Cameron is Head of Fundamental Research supporting the Global Credit and Global Fixed Income teams. He is also a Portfolio Manager and part of the Global Credit leadership responsible for the group’s portfolios across corporate investment grade, high yield and bank loan strategies. Cameron joined MacKay Shields in 2019 as a Senior Credit Analyst on the Global Fixed Income team covering the energy and utilities sectors. Most recently, he was a Senior Credit Analyst at Apex Credit Partners LLC. Earlier in his career, Cameron held credit analyst roles at MetLife Investments and Deutsche Bank Securities. He has a BA in Economics from Colgate University, an MBA from Cornell University and is a CFA charterholder. Cameron has been in the financial services industry since 2004.

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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