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Income statement with commentary From Wikipedia, the free encyclopedia
In investment banking, PnL explained (also called P&L explain, P&L attribution or profit and loss explained) is an income statement with commentary that attributes or explains the daily fluctuation in the value of a portfolio of trades to the root causes of the changes.
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P&L is the day-over-day change in the value of a portfolio of trades typically calculated using the following formula: PnL = Value today − Value from Prior Day
A PnL explained report will usually contain one row per trade or group of trades and will have at a minimum these columns:
There are two methodologies for calculating Pnl Explained, the 'sensitivities' method and the 'revaluation' method. [1]
The sensitivities method [2] involves first calculating option sensitivities known as the Greeks because of the common practice of representing the sensitivities using Greek letters. For example, the delta of an option is the value an option changes due to a $1 move in the underlying commodity or equity/stock. See Risk factor (finance) § Financial risks for the market.
To calculate 'impact of prices' the formula is: Impact of prices = option delta × price move; so if the price moves $100 and the option's delta is 0.05% then the 'impact of prices' is $0.05. To generalize, then, for example to yield curves:
This method calculates the value of a trade based on the current and the prior day's prices. The formula for price impact using the revaluation method is
for some small-value assets such as "loose tools".[3]
PnL unexplained is a critical metric that regulators and product control within a bank alike pay attention to. Any residual P&L left unexplained (PnL unexplained) would be expected to be small if (1) the identified risk factors are indeed sufficient to materially explain the expected value change of the position and, if (2) the models used to calculate sensitivities to these risk factors are correct. PnL unexplained is thus a metric that, when large, may highlight instances where the risk factors classified for a risky position are incomplete, or the models used for sensitivities calculations are incorrect or inconsistent.[4] See model risk and, again, Financial risk management § Banking.
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