- financial 0.0.2
- Financial aggregate functions
PostgreSQL Financial Extension
This is a PostgreSQL extension for financial calculations.
xirr(amounts, dates [, guess])- Irregular Internal Rate of Return. Aggregate function, much like XIRR in spreadsheet programs (Excel, LibreOffice, etc).
To build and install this extension, simply run:
% make % sudo make install
Then, to activate this extension in your database, run the SQL:
CREATE EXTENSION financial;
If you run into problems with building, see PostgreSQL wiki for troubleshooting
xirr aggregate function
The basic form of the XIRR function is:
xirr(amounts, dates [, guess])
Since XIRR is fundamentally an imprecise function,
payments is of type float8
dates is timestamp with time zone.
For example, if table
transaction has columns
time, do this:
db=# SELECT xirr(amount, time ORDER BY time) FROM transaction; xirr -------------------- 0.0176201237088334
guess argument (also float8) is an optional initial guess. When omitted,
the function will use annualized return as the guess, which is usually
reliable. Excel and LibreOffice, however, use a guess of 0.1 by default:
SELECT xirr(amount, time, 0.1 ORDER BY time) FROM transaction;
Like any aggregate function, you can use
xirr with GROUP BY or as a window
SELECT portfolio, xirr(amount, time ORDER BY time) FROM transaction GROUP BY portfolio; SELECT xirr(amount, time) OVER (ORDER BY time) FROM transaction;
There are situations where XIRR (Newton's method) fails to arrive at a result. In these cases, the function returns NULL. Sometimes providing a better guess helps, but some inputs are simply indeterminate.
Because XIRR needs to do multiple passes over input data, all inputs to the aggregate function are held in memory (16 bytes per row). Beware that this can cause the server to run out of memory with extremely large data sets.
Copyright and License
Copyright (c) 2013 Marti Raudsepp firstname.lastname@example.org
pg_financial and all related files are available under The PostgreSQL License. See LICENSE file for details.