While the final FRTB text has some important changes from the fourth QIS of July 2015, including an extra year for implementation (with a new deadline of January 1st, 2019 for local translation and Dec 31st for latest date for 1st report submission by the financial institutions) and a reduced Residual Risk Add-on—many of the key rules in the framework remain unchanged from prior versions. Derivate market participants are finding the scope and complexity of the framework quite daunting.

What can be done to adequately prepare for FRTB implementation? Clearly, this is a highly complex question without simple answers. For simplification purposes, this paper breaks down the key implications, requirements and methodologies related to the FRTB ‘final’ text and implementation. First, the paper starts by addressing the increasing capital risk charges of considerable concern to today’s derivative market participants—as they continue to rethink derivative business strategy and impact on overall profitability. Next, our study explores the computational implications of FRTB and provides a comparison of the current framework vs. the FRTB framework for the Standardized Approach and Internal Model Approach.

As the paper unfolds, it provides a comprehensive breakdown of the Standardized Approach and Internal Model Approach, including detailed methodologies and prescribed formulas—highlighting overall computational and data challenges and the need for organizations to review, and potentially revamp, IT infrastructure in preparation.

Highlights of the paper include:

  • FRTB Market Risk Capital Requirements under Standardized Approach and Internal Model Approach
  • Detailed Breakdowns of Newly Prescribed FRTB Calculation Requirements
  • Methodologies for the Current Framework vs. FRTB Framework—for both the Standardized Approach and the Internal Model Approach
  • Overview of Residual Risk Add-On as Revised in 'Final' FRTB Text
  • P&L Attribution and Its Challenges

Complete the form to the right to download this complimentary whitepaper, “Finalized,’ but Far from the Finish Line – Preparing for the Next Evolution of FRTB.”

 

Author Biography

Franck Rossi, Director of Product Management, Numerix LLC Franck Rossi is a Director of Product Management at Numerix, responsible for product strategy and thought leadership related to banking and derivatives regulations. He also works with clients to understand and document their requirements so Numerix can develop the required functionality into its software. Prior to joining Numerix, Mr. Rossi worked at Thomson Reuters in Product Management in Regulations, Analytics and Structured Products, and at HSBC in Interest Rate Structured Products. He holds an MSc in Finance and Mathematics from Paris-Dauphine University.

Download White Paper

Complete the form below to download this complimentary white paper.

Select Form: 

Form #5: Research

Keep me informed of future research from Numerix:

Sign me up to receive "Thinking Derivatively" monthly newsletter by Numerix:

* Required fields
press release - Sep 23, 2021

Numerix Partners with Leading Quantitative Researcher, Alan De Genaro of Riscométrica

white paper

White paper | Risk.net: Next-generation technologies and the future of trading

newsletter issue - Sep 15, 2021

Thinking Derivatively – September 2021 Newsletter

product

CrossAsset - Leading the Industry in Advanced Models and Methods

newsletter issue - Aug 11, 2021

Thinking Derivatively – Aug 2021 Newsletter

numerix conference

Join us for NEXT 2021 - the Numerix User Conference

conference

Risk Australia

newsletter issue - Jul 14, 2021

Thinking Derivatively – July 2021 Newsletter

press release - Jun 22, 2021

Numerix Oneview Named Best Analytics Solution in the Waters Technology Asia Awards 2021

press release - Jun 22, 2021

American Financial Exchange® Launches AMERIBOR® Term Structure of Interest Rates based on Overnight...

white paper

White paper | Real-Time Risk Management in Practice: The Experts’ Views

on-demand webinar - Jun 30, 2021

Numerix On-Demand Webinar | Modelling Energy Curves for XVA