LSE - Delayed Quote GBp

abrdn Short Dated Corp Bd Z Acc (0P0001R619.L)

118.24 +0.33 (+0.28%)
As of October 16 at 9:00 PM GMT+1. Market Open.

Fund Summary

abrdn Short Dated Corp Bd Z Acc

1 George Street
0345 600 2268

Fund Overview

Category --
Fund Family abrdn Fund Managers Limited
Net Assets 192.78M
YTD Return 4.53%
Yield 3.54%
Morningstar Rating --
Inception Date Jan 10, 2017

Fund Operations

Last Dividend 0.03
Last Cap Gain --
Holdings Turnover --
Average for Category --

Fees & Expenses

Expense 0P0001R619.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

Daniel McKernan, Director and portfolio manager, is a member of BlackRock's Fixed Income Portfolio Management Group. His primary responsibility is managing sterling corporate bond portfolios with a sector emphasis on structured finance and industrials. Mr. McKernan's service with the firm dates back to 2005, including his years with Merrill Lynch Investment Managers (MLIM), which merged with BlackRock in 2006. At MLIM, Mr. McKernan was a portfolio manager specializing in the management of sterling credit portfolios. Prior to joining MLIM, Mr. McKernan worked for Aegon in Edinburgh as the head of credit and as a credit portfolio manager at Britannia Asset Management and Norwich Union. Mr. McKernan earned a BSc degree, with honours, in banking and international finance from City University, London in 1990.

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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