P&L Attribution Framework using the revaluation method

 

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

Request for services

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Questions



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