OTC Markets OTCPK - Delayed Quote USD

Loomis Sayles Glb Mlt Ast Inc I/D USD (0P0001BR9X)

117.88 +0.25 (+0.21%)
At close: November 18 at 3:00 PM EST

Fund Summary

Loomis Sayles Glb Mlt Ast Inc I/D USD

43, avenue Pierre Mendès-France
+33 1 78408000

Fund Overview

Category --
Fund Family Natixis Investment Managers International
Net Assets --
YTD Return 7.53%
Yield 2.55%
Morningstar Rating
Inception Date Aug 16, 2017

Fund Operations

Last Dividend 3.01
Last Cap Gain --
Holdings Turnover --
Average for Category --

Fees & Expenses

Expense 0P0001BR9X 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

Kevin P. Kearns, Lead Manager since June 30, 2016
Kevin Kearns is a portfolio manager and head of the alpha strategies group at Loomis, Sayles & Company. He co-manages the Loomis Sayles multi-asset credit and income strategies and custom strategies, as well as the Loomis Sayles Inflation Protected Securities Fund. Kevin has 37 years of investment industry experience and joined Loomis Sayles in 2007. Previously, he was director of derivatives, quantitative analysis and risk management at Boldwater Capital Management where he was responsible for development and implementation of a credit-focused relative value hedge fund. Kevin managed derivative based strategies focused on capital structure arbitrage, event driven and relative value strategies. He also spent 14 years with Fleet Boston as managing director and group head of credit derivatives. Kevin earned an undergraduate degree in physics from Bridgewater State University, an MBA from Bryant University and holds a certificate in Machine Learning from Cornell University.

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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