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Columbia Commodity Strategy Fund (CCSAX)

8.54
-0.01
(-0.12%)
At close: 8:05:14 AM EDT

Fund Summary

Under normal circumstances, the fund seeks to maintain substantial economic exposure to the performance of the commodities markets. It invests, directly or indirectly, in a portfolio of commodity-linked investments, such as commodity-linked futures, structured notes and/or swaps, that are designed to provide exposure to the investment return of assets that trade in the commodities markets, without investing directly in physical commodities.

Columbia Commodity Strategy Fund

BOSTON MA 02110
225 FRANKLIN STREET
612-671-4321

Fund Overview

Category Commodities Broad Basket
Fund Family Columbia Threadneedle
Net Assets 239.21M
YTD Return 8.50%
Yield 8.33%
Morningstar Rating
Inception Date Oct 01, 2014

Fund Operations

Last Dividend 0.75
Last Cap Gain -95.00
Holdings Turnover 117.00%
Average for Category --

Fees & Expenses

Expense CCSAX Category Average
Annual Report Expense Ratio (net) 1.11% 1.11%
Prospectus Net Expense Ratio 1.11% --
Prospectus Gross Expense Ratio 1.11% --
Max 12b1 Fee -- --
Max Front End Sales Load -- 5.25%
Max Deferred Sales Load -- 1.23%
3 Yr Expense Projection 0 --
5 Yr Expense Projection 0 --
10 Yr Expense Projection 0 --

Management Information

Matthew Ferrelli is a portfolio manager for the Global Asset Allocation team at Columbia Threadneedle Investments. Previously, he was a risk analyst at Putnam Investments. He joined the firm in 2017 and has been a member of the investment community since 2005. Matt received an M.S. in Finance from Suffolk University and a B.A. from Boston College. In addition, he holds the Chartered Financial Analyst® designation.

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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