LSE - Delayed Quote GBp

Robeco Emerging Stars Equities (0P0001SB0M.L)

11,504.00 +15.00 (+0.13%)
As of October 14 at 9:00 PM GMT+1. Market Open.

Fund Summary

Robeco Emerging Stars Equities

Weena 850
+31 10 2241224

Fund Overview

Category --
Fund Family Robeco Institutional Asset Management BV
Net Assets --
YTD Return --
Yield --
Morningstar Rating --
Inception Date Feb 27, 2014

Fund Operations

Last Dividend --
Last Cap Gain --
Holdings Turnover -32.87%
Average for Category --

Fees & Expenses

Expense 0P0001SB0M.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

Karnail Sangha is a Portfolio Manager to Robeco's High Conviction Emerging Stars Strategy and the Lead Portfolio Manager for Emerging Smaller Companies. He is a global strategies Research Analyst with a focus on India and Pakistan. Prior to joining Robeco in 2000, Mr. Sangha was a Risk Manager/Controller at Aegon Asset Management, where he started his career in the industry in 1999. He holds an M.S. in Economics from Erasmus University Rotterdam and is a CFA® Charterholder

Morningstar Style Box

Yahoo partners with Morningstar a leading market research and investment data group to help investors rate and compare funds on Yahoo Finance. The Morningstar Category is shown next to the Morningstar Style Box which identifies a fund's investment focus, based on the underlying securities in the fund. MORNING_STAR_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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