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UBS(Lux) BS EmEcos LclCcy Bd$ U-X-c (0P0000WDPL)

8,819.30 +47.20 (+0.54%)
At close: May 19 at 4:00 PM EDT

Fund Summary

UBS(Lux) BS EmEcos LclCcy Bd$ U-X-c

33A, avenue J.-F. Kennedy, L-1855 Luxembourg
+352-441 0101

Fund Overview

Category --
Fund Family UBS Fund Management (Luxembourg) S.A.
Net Assets --
YTD Return --
Yield 0.00%
Morningstar Rating
Inception Date Nov 14, 2019

Fund Operations

Last Dividend --
Last Cap Gain --
Holdings Turnover 69.58%
Average for Category --

Fees & Expenses

Expense 0P0000WDPL 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

Igor Arsenin is a portfolio manager responsible for analysis and management of investments in emerging market sovereign local debt and currencies. Igor joined UBS Asset Management in April 2016. He has over twenty years of experience in the financial services industry focusing on EM sovereign and local markets. Prior to joining the firm, Igor was an Emerging Markets macro analyst at Balyasny Asset Management, a hedge fund, in 2015. From 2012 to 2014 he was the Head of Asia Rates Strategy at Barclays in Singapore. Igor started his career at Credit Suisse in 1996 where he spent 16 years, most recently as Managing Director in Emerging Markets Strategy. Igor holds a BA from MIFT in Moscow, and an MPhil in Physics from Columbia University.

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.

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