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SVS Brown Shipley Income Fund I Inc (0P0000MQ23.L)

1.3949
+0.0023
+(0.17%)
At close: January 23 at 12:00:00 AM GMT

Fund Summary

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SVS Brown Shipley Income Fund I Inc

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Fund Overview

Category --
Fund Family Brown Shipley & Co Ltd
Net Assets 144.94M
YTD Return 6.87%
Yield 1.76%
Morningstar Rating
Inception Date Jan 20, 2003

Fund Operations

Last Dividend 0.02
Last Cap Gain --
Holdings Turnover 28.97%
Average for Category --

Fees & Expenses

Expense 0P0000MQ23.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

Alex Brandreth is Chief Investment Officer for Luna, joining the firm in March 2020. He is responsible for coordinating the overall investment strategy at Luna. This involves liaising with a series of analysts and chairing the Luna Investment Committee in order to provide guidance to investment managers on tactical asset allocation and individual security selection. He is also the lead Fund Manager on the Luna Model Portfolio Service*. Over the years, Alex has appeared in CityWire Top 100 Wealth Managers on multiple occasions, was included in the inaugural Citywire Selector UK 30, which showcased the most influential fund selectors in the UK market, and named in the 2019 Private Asset Management (PAM) Top 40 Under 40. Before joining Luna, Alex worked at Brown Shipley for nearly 10 years and for the last four years as Deputy Chief Investment Officer. He began his career as an Investment Analyst at Greystone Wealth Management in 2007.

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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