|Bid Price||GBX 121.60||Offer Price||GBX 121.60|
|Mid Price||-||Day Change||GBX -0.60 (-0.49%)|
|Price Date||18 Jan 2019||Crown Rating|
|Shares Class||Inc.||Yield||1.30 %|
|Last Ex-Dividend Date||29 May 2018||Dividend Frequency||Semi-annually|
|Sector||UK Gilts||Fund Size||989,077,453.52|
|Launch Date||08/03/1981||Standard Initial Charge||0.00%|
|Ongoing cost||0.15%||Annual Management Charge||0.00%|
The objective of this fund is to provide a combination of income and growth (if the income is reinvested) by tracking the performance of the FTSE Actuaries British Government All Stocks Index.The fund will invest in bonds (a type of loan which pays interest). The fund's investments will closely match those that make up the Index. This Index consists of bonds which are issued by the UK Government (known as gilts). The gilts that the fund invests in will be investment grade bonds (rated as lower risk). Investment grade bonds are bonds that have achieved a higher credit rating from a rating agency. Credit ratings give an indication of how likely it is that the issuer of a bond will be able to pay back interest and the loan on time. 35% or more of the fund can be invested in bonds issued by the UK Government. The fund may use derivatives (contracts which have a value linked to the price of another asset) to:• reduce risk or cost; or• generate additional capital or income with no, or an acceptably low, level of risk.If you hold accumulation units, income from investments held by the fund (interest) will be reinvested into the value of your units.If you hold distribution units, income from investments held by the fund will be paid out to you every six months (as interest).
LGIM Index Fund Management Team
The Index Fund Management team comprises 25 fund managers, supported by two analysts. Management oversight is provided by the Global Head of Index Funds. The team has average industry experience of 15 years, of which seven years has been at LGIM, and is focused on achieving the equally important objectives of close tracking and maximising returns.