Frankfurt - Delayed Quote EUR

CT (Lux) European Strat Bd IE (0P0000GHDO.F)

30.18 -0.05 (-0.18%)
At close: April 25 at 10:00 PM GMT+2

Fund Summary

CT (Lux) European Strat Bd IE

L-2661 Luxembourg
+44 (0)20 7464 5437

Fund Overview

Category --
Fund Family Threadneedle Management Luxembourg S.A.
Net Assets --
YTD Return 0.41%
Yield 0.00%
Morningstar Rating
Inception Date Nov 26, 2012

Fund Operations

Last Dividend --
Last Cap Gain --
Holdings Turnover 205.17%
Average for Category --

Fees & Expenses

Expense 0P0000GHDO.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

Ryan Staszewski is a portfolio manager at Columbia Threadneedle Investments. Mr. Staszewski is responsible for European credit portfolios within the fixed income team in London. Previously, he worked as a credit analyst undertaking fundamental analysis across a number of sectors within the investment grade universe. Prior to joining one of the Columbia Threadneedle Investments firms in 2012, Mr. Staszewski held a role as a sell-side publishing analyst at JP Morgan, where he was voted the #2 utilities analyst by industry peers in the Euromoney 2012 fixed-income survey. Prior to that, he was a buy-side credit analyst at Aviva Investors. Mr. Staszewski received a degree in economics and finance from Curtin University, Western Australia, and is also a CFA Charterholder.

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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