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Read MorePCF data could come from investor service groups such as custodians, administrators, depositaries (which may be combined in one entity); brokers; exchanges; other trading venues, and index providers. It could include share prices, bond prices, currency exchange rates, futures and other derivative prices. Indices and PCFs also need to make adjustments for dividends and other corporate actions, such as rights issues, takeovers, index additions and deletions. The exercise can be more complicated for fixed income indices, which can contain a larger number of constituents.
A PCF needs to specify quantities or weights and values for all instruments so that the PCF can be used to create a basket behind an ETF.
The process can also be different for physical and synthetic ETFs. For a physical ETF doing in specie dealing, the ETF shares are exchanged for the physical securities. For a synthetic ETF, they are matched against a swap, which is usually based on an index. (The situation can become more complicated where managers choose to “optimise” their tracking of the index rather than fully replicating it, but even in this situation they still need a timely and accurate PCF file to gauge how far they can afford to deviate from the index).
Since the PCF includes all holdings, it also contains asset allocation, which can be worked out by grouping individual holdings into asset classes, geographies or other categories.
PCFs need to specify weights for each instrument, and most of these weights change during the trading day as market prices fluctuate.
PCF metrics can include the number of instruments contained in a PCF or how often the PCF valuation is updated.
PCFs can be delivered via one or more of: flat files often via SFTP (Secure File Transfer Protocol), API data-feeds, or UI (User Interfaces).
It is natural to use dedicated portfolio management software for calculating PCFs, since this will be coded to use and manipulate market prices, index prices, currency exchange rates, and other relevant details.
Spreadsheets can be used, but are viewed as a more error prone, and less robust and accurate medium than dedicated software that is specifically designed for portfolio management and ETF processes.
Market and index data feeding into PCFs can come from sources including exchanges, other trading venues, index providers and other data vendors (and licenses will often be needed to use this data). Other data on cash holdings and changes in portfolio composition could come from an ETF manager, or investor service groups.
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