Other OTC - Delayed Quote USD

MontLake DUNN WMA Institutional UCITS Fund (0P0001842L)

158.40 +0.40 (+0.26%)
At close: April 22 at 4:00 PM EDT

Fund Summary

MontLake DUNN WMA Institutional UCITS Fund

3rd Floor, 76 Lower Baggot Street Dublin 2, Ireland
+353 1 619 2300

Fund Overview

Category --
Fund Family Waystone Fund Management (IE) Limited
Net Assets --
YTD Return 14.80%
Yield 0.00%
Morningstar Rating
Inception Date Feb 19, 2019

Fund Operations

Fees & Expenses

Expense 0P0001842L 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

Martin H. Bergin, Lead Manager since September 01, 2011
Martin H. Bergin joined DUNN in 1997 as Accounting Systems Manager and was promoted to Vice President & Chief Financial Officer in March 2001. In May 2007, Mr. Bergin was promoted to President while retaining the position of Chief Financial Officer. In December 2008, Mr. Bergin relinquished the position of CFO. Mr. Bergin earned a Bachelor of Science in Business Administration from George Mason University 1987. He became a Certified Public Accountant in 1988. From June 1987 to October 1989 he was employed by the public accounting firm Sullivan and Company, Ltd. Mr. Bergin left his position as a partner with Homes Lowry Horn & Johnson, Ltd., a public accounting firm, with whom he had been employed from October 1989 to September 1997 immediately prior to joining DUNN.

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.

Related Tickers