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BlackRock Impact Mortgage Inv A (CIGAX)

9.26
0.00
(0.00%)
At close: 8:03:45 PM EDT

Fund Summary

The fund seeks to achieve its objective by investing at least 80% of its net assets, plus any borrowings for investment purposes, in mortgage-backed and other mortgage-related securities that are issued or guaranteed by the U.S. government and its agencies.

BlackRock Impact Mortgage Inv A

100 BELLEVUE PARKWAY

Fund Overview

Category Intermediate Government
Fund Family BlackRock
Net Assets 262.99M
YTD Return 2.95%
Yield 3.68%
Morningstar Rating
Inception Date Jan 25, 2018

Fund Operations

Last Dividend 0.08
Last Cap Gain -30.00
Holdings Turnover 1,330.00%
Average for Category --

Fees & Expenses

Expense CIGAX Category Average
Annual Report Expense Ratio (net) 1.45% 0.72%
Prospectus Net Expense Ratio 1.45% --
Prospectus Gross Expense Ratio 1.77% --
Max 12b1 Fee -- --
Max Front End Sales Load -- 3.53%
Max Deferred Sales Load -- 1.36%
3 Yr Expense Projection 0 --
5 Yr Expense Projection 0 --
10 Yr Expense Projection 0 --

Management Information

Siddharth Mehta, Director, is a member of the Mortgage Portfolio Team within BlackRock's Americas Fixed Income Alpha Strategies. Mr. Mehta joined the Portfolio Management Group in 2008.From 2006 to 2008, Mr. Mehta was a member of BlackRock's Risk and Quantitative Analytics Group, where he was responsible for supporting the mortgage team. Mr. Mehta began his investment career with BlackRock as an analyst in the Portfolio Analytics Group. Mr. Mehta earned a BS degree, magna cum laude, in electrical engineering from the University of Michigan in 2005.

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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