P&L Attribution Framework using the revaluation method
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Objective
The client wanted to implement a framework to perform P&L attribution using the revaluation method as it is more accurate
CRISIL's solution
A user can trigger attribution computation at the launch of a command. The relevant risk is configurable as input parameters to the command - A daemon process that runs in the background and responds to the user trigger
Based on the user's inputs, the process creates market data scenarios in the database and revaluates the book based on newly generated scenarios
Each revaluation generates an output file, which is picked up by a front-end application called the risk viewer, displaying the numbers in suitable formats
Used technologies such as C++ and Shell scripting
Client impact
The CRISIL solution enabled P&L attribution w.r.t each risk parameter at the launch of a command through customisable and intuitive input parameters
Identify exhaustive list of categories for P&L movement
Facilitate preparation of a meaningful commentary on the PL changes and spot any PL change beyond a meaningful level
Developed control function of the bank to work independently and explain daily PL movement
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