LSE - Delayed Quote GBp

CT US Equity Income Fund (0P00017VK5.L)

230.82 -1.32 (-0.57%)
At close: April 18 at 9:00 PM GMT+1

Fund Summary

CT US Equity Income Fund

London EC4N 6AG
44-20-7464-5000

Fund Overview

Category --
Fund Family Threadneedle Investment Services Ltd
Net Assets --
YTD Return 8.30%
Yield 2.12%
Morningstar Rating
Inception Date May 20, 2016

Fund Operations

Fees & Expenses

Expense 0P00017VK5.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

Benedikt Blomberg is a portfolio analyst on the U.S. Equities Team at Columbia Threadneedle Investments. Prior to his current role, Mr. Blomberg was a senior analyst for centralized fundamental research, responsible for analyzing stocks in the defense and auto sectors. Mr. Blomberg joined one of the Columbia Threadneedle Investments legacy firms in 2005. Previously, Mr. Blomberg was a quantitative programmer and trader for Fort Orange Capital Management. Mr. Blomberg began his career as an analyst with Paradigm Capital Management. He has been a member of the investment community since 1996. Mr. Blomberg received a B.S. from the University of Muenster, in Germany, and an M.S. from Union College. He is a member of the Boston Security Analysts Society and the CFA Institute. In addition, he holds the Chartered Financial Analyst® designation.

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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