OTC Markets OTCPK - Delayed Quote USD

Maple-Brown Abbott Glb Infras Instl $ (0P00017IBS)

1.7958 +0.0007 (+0.04%)
At close: September 2 at 4:00 PM EDT

Fund Summary

Maple-Brown Abbott Glb Infras Instl $

259 George Street
+61 02 8226 6200

Fund Overview

Category --
Fund Family Maple-Brown Abbott Limited
Net Assets --
YTD Return 5.56%
Yield 0.00%
Morningstar Rating
Inception Date Jan 10, 2017

Fund Operations

Fees & Expenses

Expense 0P00017IBS 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

Andrew joined Maple-Brown Abbott in January 2017 as Senior Research Associate and was appointed Investment Analyst in 2019 and most recently Portfolio Manager in 2022. Andrew is responsible for covering the midstream, renewables and diversified utilities. He is also chair of the Macroeconomic Committee. Before joining Maple-Brown Abbott, Andrew spent six years at the Reserve Bank of Australia (RBA), including an 18-month secondment to the Bank of England. As a Senior Analyst in the International Financial Markets division of the RBA, he was responsible for analysing developments in international markets for the bank’s monetary policy.

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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