everis Marcus Evans FRTB Conference 23Feb17Jonathan Philp
everis was Gold Sponsor of the Marcus Evans Conference ‘4th Edition: Impact of the Fundamental Review of the Trading Book’ at Canary Wharf, London on 23-24th February 2017.
This was a timely opportunity to catch up with banks and solution partners as we move into the implementation phase of Fundamental Review of the Trading Book (FRTB) programmes. We heard views and case studies across a range of topics including market risk methodology, operating model definition and data and systems architecture design.
Our presentation at the conference focused on the architectural challenges posed by FRTB.
James Okarimia - Fundamental Review Of The Trading Book (FRTB)JAMES OKARIMIA
The Fundamental Review of the Trading Book (FRTB) aims to tighten regulations around banks' trading activities and capital requirements in response to issues during the 2008 financial crisis. The FRTB imposes stringent new capital rules, removing Value-at-Risk and increasing controls between trading and banking books. Banks face significant challenges implementing the new requirements by 2019, including restructuring data reporting at the trading desk level, reviewing profitable trading strategies, and demonstrating adequate internal controls for multiple trading books.
Solving the FRTB Challenge: Why You Should Consider an Aggregation SolutionFIS
Many banks face multiple challenges around market risk, with outdated infrastructure, fragmented systems, and inflexible reporting tools. And now FRTB raises the stakes. The Fundamental Review of the Trading Book is the biggest change in market risk rules that we’ve seen in a generation.
The answer to the FRTB challenge is a centralized aggregation solution that allows you to source required prices from one or more front-office and risk engines, perform bank-wide FRTB calculations using those inputs, and combine the results with intermediate data and expose inputs via reporting and analysis tools.
View our slideshow to learn more about aggregation challenges and why you should consider an external solution.
Outlook and market survey on the fresh Standards for Minimum capital requirements for market risk, published January 14th, 2016.
FRTB will deeply impact banks on IT, process, organization and human aspects.
CH&Co can help banks cope with these changes.
White paper risk management in exotic derivatives trading - ch cie gra -- vdefAugustin Beyot
- Banks accumulated large positions in structured interest rate derivatives known as spread range accrual products between 2005-2008. These had discontinuous payoffs that depended on reference interest rate spreads staying above certain strike levels.
- In June 2008, there was a sudden and unexpected inversion of the EUR interest rate curve. This caused the gamma exposure of banks' derivatives desks to invert, leading to large losses as the payoffs changed discontinuously.
- The document discusses how efficient risk management using techniques like stress testing and limiting risk concentrations could have helped banks avoid such losses from unhedgeable risks in exotic structured products.
The document summarizes a presentation on challenges in practical market risk management. It discusses the shift from VaR to expected shortfall measures to better assess tail risk. New regulations are making trading and banking book boundaries clearer and requiring greater emphasis on model testing, back-testing and validation. Market risk systems need to be upgraded to ensure real-time measurements and data availability so risk can be incorporated into trading decisions. Overall regulatory scrutiny and focus from senior management are driving large-scale changes in market risk management.
The document summarizes key changes in the Basel Committee's revised market risk framework, known as Fundamental Review of the Trading Book (FRTB). It introduces more complex capital calculations under the internal models approach, with requirements for multiple scenario analyses and risk factor combinations that significantly increase processing needs. It also requires clearer position classification and metadata for regulatory capital calculations. Banks will need enhanced data management and risk aggregation capabilities to integrate information across business units. The substantial technology impacts suggest a long-term, flexible implementation approach rather than short-term minimum compliance.
everis Marcus Evans FRTB Conference 23Feb17Jonathan Philp
everis was Gold Sponsor of the Marcus Evans Conference ‘4th Edition: Impact of the Fundamental Review of the Trading Book’ at Canary Wharf, London on 23-24th February 2017.
This was a timely opportunity to catch up with banks and solution partners as we move into the implementation phase of Fundamental Review of the Trading Book (FRTB) programmes. We heard views and case studies across a range of topics including market risk methodology, operating model definition and data and systems architecture design.
Our presentation at the conference focused on the architectural challenges posed by FRTB.
James Okarimia - Fundamental Review Of The Trading Book (FRTB)JAMES OKARIMIA
The Fundamental Review of the Trading Book (FRTB) aims to tighten regulations around banks' trading activities and capital requirements in response to issues during the 2008 financial crisis. The FRTB imposes stringent new capital rules, removing Value-at-Risk and increasing controls between trading and banking books. Banks face significant challenges implementing the new requirements by 2019, including restructuring data reporting at the trading desk level, reviewing profitable trading strategies, and demonstrating adequate internal controls for multiple trading books.
Solving the FRTB Challenge: Why You Should Consider an Aggregation SolutionFIS
Many banks face multiple challenges around market risk, with outdated infrastructure, fragmented systems, and inflexible reporting tools. And now FRTB raises the stakes. The Fundamental Review of the Trading Book is the biggest change in market risk rules that we’ve seen in a generation.
The answer to the FRTB challenge is a centralized aggregation solution that allows you to source required prices from one or more front-office and risk engines, perform bank-wide FRTB calculations using those inputs, and combine the results with intermediate data and expose inputs via reporting and analysis tools.
View our slideshow to learn more about aggregation challenges and why you should consider an external solution.
Outlook and market survey on the fresh Standards for Minimum capital requirements for market risk, published January 14th, 2016.
FRTB will deeply impact banks on IT, process, organization and human aspects.
CH&Co can help banks cope with these changes.
White paper risk management in exotic derivatives trading - ch cie gra -- vdefAugustin Beyot
- Banks accumulated large positions in structured interest rate derivatives known as spread range accrual products between 2005-2008. These had discontinuous payoffs that depended on reference interest rate spreads staying above certain strike levels.
- In June 2008, there was a sudden and unexpected inversion of the EUR interest rate curve. This caused the gamma exposure of banks' derivatives desks to invert, leading to large losses as the payoffs changed discontinuously.
- The document discusses how efficient risk management using techniques like stress testing and limiting risk concentrations could have helped banks avoid such losses from unhedgeable risks in exotic structured products.
The document summarizes a presentation on challenges in practical market risk management. It discusses the shift from VaR to expected shortfall measures to better assess tail risk. New regulations are making trading and banking book boundaries clearer and requiring greater emphasis on model testing, back-testing and validation. Market risk systems need to be upgraded to ensure real-time measurements and data availability so risk can be incorporated into trading decisions. Overall regulatory scrutiny and focus from senior management are driving large-scale changes in market risk management.
The document summarizes key changes in the Basel Committee's revised market risk framework, known as Fundamental Review of the Trading Book (FRTB). It introduces more complex capital calculations under the internal models approach, with requirements for multiple scenario analyses and risk factor combinations that significantly increase processing needs. It also requires clearer position classification and metadata for regulatory capital calculations. Banks will need enhanced data management and risk aggregation capabilities to integrate information across business units. The substantial technology impacts suggest a long-term, flexible implementation approach rather than short-term minimum compliance.
FRTB Backtesting and P&L Attribution Test RequirementsRamesh Jonnadula
1) Banks must pass backtesting at the bank-wide level and desk-level to use internal models to determine market risk capital requirements. Backtesting compares Value at Risk (VaR) to actual and hypothetical profit and loss.
2) At the bank level, more than 10 exceptions results in increased capital charges. At the desk level, more than 12 exceptions at 99% VaR or 30 at 97.5% VaR requires standard capital charges.
3) Profit and loss attribution (PLA) testing compares risk-theoretical profit and loss to hypothetical profit and loss. Strong correlation and similar distributions are required to use internal models, otherwise standard capital charges apply.
The document summarizes the Fundamental Review of the Trading Book (FRTB), which establishes new capital requirements for market risk. It outlines the standardized approach and internal models approach, both of which involve calculating expected shortfall and stressed value-at-risk. Banks will need to store and process significantly more market data to meet the new requirements, which are estimated to increase median capital requirements by 22% and weighted average capital requirements by 40%. Technical challenges include automating extensive data gathering, pricing, and reporting to support the new risk measurement approaches and capital calculations.
This document provides information about an upcoming conference on the Fundamental Review of the Trading Book. It lists the speakers and panelists that will be participating. It also provides an overview of the conference topics, which include regulatory timelines, the sensitivities based approach, incremental default risk modelling, model risk management, VaR vs expected shortfall approaches, and challenges around non-modellable risk factors, profit and loss attribution, and desk eligibility. The document provides logistical information about the conference including dates, location, sponsors, and discounts.
1. The revised FRTB framework aims to address weaknesses in capital requirements and distinguish between trading book and banking book holdings by requiring higher capital for trading book assets.
2. Firms seek to move assets between books to minimize capital requirements based on liquidity and profitability as positions change.
3. Key impact areas of FRTB include OTC derivatives, securitization, and more complex instruments. Firms will need new business models and technology to implement FRTB.
Because the VaR starts to be « old fashioned » and not so "Normal" :-), CH&Co. and its GRA team wanted to pay a last tribute to this world famous Market Risk Method.
This paper comes along with a Excel Tool
Operational Risk Loss Forecasting Model for Stress TestingCRISIL Limited
Presentation on ‘Operational Risk Loss Forecasting Model for Stress Testing – A Three-Stage Approach’ made by Dr. James Lu, Director, Risk & Analytics, CRISIL Global Research & Analytics (GR&A) at The 17th Annual OpRisk North America 2015, New York
CH&Cie - Fundamental Review of the Trading BookC Louiza
The document discusses concerns that led to the Fundamental Review of the Trading Book (FRTB). It summarizes that pre-FRTB there was unclear classification between banking and trading books allowing regulatory capital arbitrage. Risk measures also failed to fully capture risks like procyclicality, model risk for complex products, and comprehensive risks. The FRTB aims to address these issues with changes like standardized approaches, constraints on modeling, and convergence of prudential and accounting rules. It signals a strategic shift towards limiting internal modeling and preventing methodology arbitrage.
Making the best out of Value at Risk in a Basel III contextJean-Paul Laurent
- Historical simulation (HS) has become increasingly popular for calculating Value-at-Risk (VaR) compared to other approaches like volatility weighted historical simulation (VWHS). However, HS performs poorly during stressed periods and can exhibit hidden procyclicality.
- Standard backtesting procedures provide little discrimination between risk models during calm periods. VaR exceptions during stressed times and fallback to standard regulatory approaches can have costly impacts.
- Estimating pointwise volatility, a key component of VWHS, poses challenges. Large uncertainty exists in deriving the decay factor used in exponential weighted moving average (EWMA) models for volatility. This impacts the stability of expected shortfall computations.
With our experience and our experts, Chappuis Halder & Co would provide appropriate incentives at every level of your organization. It could help you at the time to manage “modern” risk alongside performance
everis was Gold Sponsor of the Marcus Evans Conference ‘4th Edition: Impact of the Fundamental Review of the Trading Book’ at Canary Wharf, London on 23-24th February 2017.
This was a timely opportunity to catch up with banks and solution partners as we move into the implementation phase of Fundamental Review of the Trading Book (FRTB) programmes. We heard views and case studies across a range of topics including market risk methodology, operating model definition and data and systems architecture design.
Our presentation at the conference focused on the architectural challenges posed by FRTB.
CH&CO - VaR methodology whitepaper - 2015 C Louiza
In the framework of knowledge promotion and expertise sharing, Chappuis Halder & Co. decided to give free access to the “Value-at-Risk Valuation tool” named in our paper “VaR spreadsheet estimator”. It contains the detail sheets simulations for the three main Value-at-Risk methods: Variance/covariance VaR, Historical VaR and Monte-Carlo VaR. The presented methodologies are not exhaustive and more exist and can be adapted depending on the process constraints.
This paper aims to have a theoretical approach of VaR and define all relevant steps to compute VaR according to the defined methodology. And to go further, it seems important to define VaR for a linear financial instrument. Thus, illustrations to monitor the VaR for an equity stock has been performed with a European call option VaR simulations for a better understanding of the concept and the tool. This article only focuses on VaR but will provide opportunities to open to more quantitative risk indicators as Stress-tests, Back-testing, Comprehensive risk measure (CRM), Expected Tail Loss (ETL) or Conditional VaR… more or less linked with the VaR methodologies…
BCBS 261 - Collateral and Margin Management for Uncleared Derivativesnikatmalik
The document summarizes key proposals from the BCBS 261 regarding collateral and margin management for uncleared OTC derivatives. It outlines requirements for initial and variation margin, eligible collateral, calculation methodologies, and a phased implementation schedule. It also discusses implications for costs, including higher funding costs due to increased collateral needs, and the potential for a collateral shortage as requirements reduce available collateral.
Chapter 13 basel iv market risk frameworkQuan Risk
The document summarizes the Basel IV framework for managing market risk. It introduces the four pillars of Basel IV - minimum capital requirements, supervisory review, public disclosure, and liquidity sufficiency. It then discusses the regulatory approaches to calculating market risk capital charges, including the internal models approach and standardized approach. The internal models approach uses an expected shortfall model and requires significant regulatory approval. The standardized approach uses a variance-covariance method and is simpler but less risk sensitive.
1. The document outlines the functional organization and delegation principles for model validation within a bank.
2. Risk has responsibility for controlling the fair value of financial instruments, approving models, and establishing reserves policies. Finance is responsible for financial reporting and delegates model controls to Risk.
3. Other functions like Front Office, Operations, Middle Office, and Back Office play defined roles in deal execution, market parameter validation, and P&L production according to the responsibilities chart.
The document provides an overview of key changes under the Fundamental Review of the Trading Book (FRTB). Some key points include:
- Internal model approvals will be done at a more granular trading desk level rather than bank level. Desks will also face new profit and loss attribution tests.
- Value-at-Risk and Stressed Value-at-Risk will be replaced by Expected Shortfall as the single risk measure for internal models. Expected Shortfall will be based on a 1-year stress period.
- Liquidity risk will be defined at the risk factor level rather than position level. Standardized liquidity horizons of 10, 20, 40, 60, 120 days will be
Regulatory reporting of market risk under the basel iv frameworkQuan Risk
This document provides an overview of regulatory market risk capital requirements under the Basel IV framework. It discusses the expected shortfall approach and standardized variance-covariance method for calculating market risk capital charges. The internal model approach uses an bank's expected shortfall model and is more risk sensitive but also more complex and stringent. The standardized approach applies standardized calculations and correlation coefficients specified in Basel IV and is simpler but less risk sensitive.
Regulatory reporting of market risk underthe Basel III frameworkQuan Risk
This document provides an overview of regulatory reporting requirements for market risk. It discusses the internal model method and standardized method for calculating market risk capital charges (MRCC) according to Basel III rules. The internal model method uses value-at-risk (VaR) models to calculate charges and requires regulatory approval. The standardized method applies fixed capital ratios to positions to calculate charges and has less risk sensitivity but also less regulatory requirements.
This document discusses various concepts related to managing market price risk. It defines market risk, types of market risk, and strategies for managing risk such as hedging, speculation, arbitrage, and swaps. It also defines the concepts of open interest and close out positions. Hedging involves making investments to reduce risk from adverse price movements. Speculation aims to profit from anticipated price changes and involves higher risk. Arbitrage exploits temporary price differences in similar assets. Open interest refers to the number of active futures or options contracts, and close out positions means liquidating an options position before expiry.
This document discusses different types of market risk that banks are exposed to, including liquidity risk, interest rate risk, foreign exchange risk, equity price risk, and commodity price risk. It provides definitions and explanations of these risks, as well as strategies that banks can employ to manage each type of market risk, such as maintaining adequate liquidity, using hedging tools and derivatives, setting prudent exposure limits, and monitoring investments. Diversification alone does not eliminate market or systematic risk for banks.
As the race against time to comply with IFRS 9 guidelines begins, several software solutions are being bandied about as a quick fix solution for automating the entire impairment modelling process. While automating is definitely the way to go in initiatives such as these, the question remains as to whether the software architecture should be of a strategic integrated nature or one that is decoupled and modular. In Aptivaa, we believe the answer to this lies in the 4Rs question: Readiness, Reflectiveness, Redundancy and Regularity.
Unspoken Smiles is a nonprofit foundation focused on improving oral healthcare and education in underserved communities in Haiti. The organization aims to address the widespread problem of tooth decay among school-aged children by promoting oral hygiene education, supervised toothbrushing in schools, and providing oral hygiene kits and services. The foundation is seeking $30,000 to fund a pilot project training youth as dental health workers to provide outreach in their communities and reduce oral disease. The long term goals are to expand the program to new regions in Haiti and develop a school-based dental curriculum.
FRTB Backtesting and P&L Attribution Test RequirementsRamesh Jonnadula
1) Banks must pass backtesting at the bank-wide level and desk-level to use internal models to determine market risk capital requirements. Backtesting compares Value at Risk (VaR) to actual and hypothetical profit and loss.
2) At the bank level, more than 10 exceptions results in increased capital charges. At the desk level, more than 12 exceptions at 99% VaR or 30 at 97.5% VaR requires standard capital charges.
3) Profit and loss attribution (PLA) testing compares risk-theoretical profit and loss to hypothetical profit and loss. Strong correlation and similar distributions are required to use internal models, otherwise standard capital charges apply.
The document summarizes the Fundamental Review of the Trading Book (FRTB), which establishes new capital requirements for market risk. It outlines the standardized approach and internal models approach, both of which involve calculating expected shortfall and stressed value-at-risk. Banks will need to store and process significantly more market data to meet the new requirements, which are estimated to increase median capital requirements by 22% and weighted average capital requirements by 40%. Technical challenges include automating extensive data gathering, pricing, and reporting to support the new risk measurement approaches and capital calculations.
This document provides information about an upcoming conference on the Fundamental Review of the Trading Book. It lists the speakers and panelists that will be participating. It also provides an overview of the conference topics, which include regulatory timelines, the sensitivities based approach, incremental default risk modelling, model risk management, VaR vs expected shortfall approaches, and challenges around non-modellable risk factors, profit and loss attribution, and desk eligibility. The document provides logistical information about the conference including dates, location, sponsors, and discounts.
1. The revised FRTB framework aims to address weaknesses in capital requirements and distinguish between trading book and banking book holdings by requiring higher capital for trading book assets.
2. Firms seek to move assets between books to minimize capital requirements based on liquidity and profitability as positions change.
3. Key impact areas of FRTB include OTC derivatives, securitization, and more complex instruments. Firms will need new business models and technology to implement FRTB.
Because the VaR starts to be « old fashioned » and not so "Normal" :-), CH&Co. and its GRA team wanted to pay a last tribute to this world famous Market Risk Method.
This paper comes along with a Excel Tool
Operational Risk Loss Forecasting Model for Stress TestingCRISIL Limited
Presentation on ‘Operational Risk Loss Forecasting Model for Stress Testing – A Three-Stage Approach’ made by Dr. James Lu, Director, Risk & Analytics, CRISIL Global Research & Analytics (GR&A) at The 17th Annual OpRisk North America 2015, New York
CH&Cie - Fundamental Review of the Trading BookC Louiza
The document discusses concerns that led to the Fundamental Review of the Trading Book (FRTB). It summarizes that pre-FRTB there was unclear classification between banking and trading books allowing regulatory capital arbitrage. Risk measures also failed to fully capture risks like procyclicality, model risk for complex products, and comprehensive risks. The FRTB aims to address these issues with changes like standardized approaches, constraints on modeling, and convergence of prudential and accounting rules. It signals a strategic shift towards limiting internal modeling and preventing methodology arbitrage.
Making the best out of Value at Risk in a Basel III contextJean-Paul Laurent
- Historical simulation (HS) has become increasingly popular for calculating Value-at-Risk (VaR) compared to other approaches like volatility weighted historical simulation (VWHS). However, HS performs poorly during stressed periods and can exhibit hidden procyclicality.
- Standard backtesting procedures provide little discrimination between risk models during calm periods. VaR exceptions during stressed times and fallback to standard regulatory approaches can have costly impacts.
- Estimating pointwise volatility, a key component of VWHS, poses challenges. Large uncertainty exists in deriving the decay factor used in exponential weighted moving average (EWMA) models for volatility. This impacts the stability of expected shortfall computations.
With our experience and our experts, Chappuis Halder & Co would provide appropriate incentives at every level of your organization. It could help you at the time to manage “modern” risk alongside performance
everis was Gold Sponsor of the Marcus Evans Conference ‘4th Edition: Impact of the Fundamental Review of the Trading Book’ at Canary Wharf, London on 23-24th February 2017.
This was a timely opportunity to catch up with banks and solution partners as we move into the implementation phase of Fundamental Review of the Trading Book (FRTB) programmes. We heard views and case studies across a range of topics including market risk methodology, operating model definition and data and systems architecture design.
Our presentation at the conference focused on the architectural challenges posed by FRTB.
CH&CO - VaR methodology whitepaper - 2015 C Louiza
In the framework of knowledge promotion and expertise sharing, Chappuis Halder & Co. decided to give free access to the “Value-at-Risk Valuation tool” named in our paper “VaR spreadsheet estimator”. It contains the detail sheets simulations for the three main Value-at-Risk methods: Variance/covariance VaR, Historical VaR and Monte-Carlo VaR. The presented methodologies are not exhaustive and more exist and can be adapted depending on the process constraints.
This paper aims to have a theoretical approach of VaR and define all relevant steps to compute VaR according to the defined methodology. And to go further, it seems important to define VaR for a linear financial instrument. Thus, illustrations to monitor the VaR for an equity stock has been performed with a European call option VaR simulations for a better understanding of the concept and the tool. This article only focuses on VaR but will provide opportunities to open to more quantitative risk indicators as Stress-tests, Back-testing, Comprehensive risk measure (CRM), Expected Tail Loss (ETL) or Conditional VaR… more or less linked with the VaR methodologies…
BCBS 261 - Collateral and Margin Management for Uncleared Derivativesnikatmalik
The document summarizes key proposals from the BCBS 261 regarding collateral and margin management for uncleared OTC derivatives. It outlines requirements for initial and variation margin, eligible collateral, calculation methodologies, and a phased implementation schedule. It also discusses implications for costs, including higher funding costs due to increased collateral needs, and the potential for a collateral shortage as requirements reduce available collateral.
Chapter 13 basel iv market risk frameworkQuan Risk
The document summarizes the Basel IV framework for managing market risk. It introduces the four pillars of Basel IV - minimum capital requirements, supervisory review, public disclosure, and liquidity sufficiency. It then discusses the regulatory approaches to calculating market risk capital charges, including the internal models approach and standardized approach. The internal models approach uses an expected shortfall model and requires significant regulatory approval. The standardized approach uses a variance-covariance method and is simpler but less risk sensitive.
1. The document outlines the functional organization and delegation principles for model validation within a bank.
2. Risk has responsibility for controlling the fair value of financial instruments, approving models, and establishing reserves policies. Finance is responsible for financial reporting and delegates model controls to Risk.
3. Other functions like Front Office, Operations, Middle Office, and Back Office play defined roles in deal execution, market parameter validation, and P&L production according to the responsibilities chart.
The document provides an overview of key changes under the Fundamental Review of the Trading Book (FRTB). Some key points include:
- Internal model approvals will be done at a more granular trading desk level rather than bank level. Desks will also face new profit and loss attribution tests.
- Value-at-Risk and Stressed Value-at-Risk will be replaced by Expected Shortfall as the single risk measure for internal models. Expected Shortfall will be based on a 1-year stress period.
- Liquidity risk will be defined at the risk factor level rather than position level. Standardized liquidity horizons of 10, 20, 40, 60, 120 days will be
Regulatory reporting of market risk under the basel iv frameworkQuan Risk
This document provides an overview of regulatory market risk capital requirements under the Basel IV framework. It discusses the expected shortfall approach and standardized variance-covariance method for calculating market risk capital charges. The internal model approach uses an bank's expected shortfall model and is more risk sensitive but also more complex and stringent. The standardized approach applies standardized calculations and correlation coefficients specified in Basel IV and is simpler but less risk sensitive.
Regulatory reporting of market risk underthe Basel III frameworkQuan Risk
This document provides an overview of regulatory reporting requirements for market risk. It discusses the internal model method and standardized method for calculating market risk capital charges (MRCC) according to Basel III rules. The internal model method uses value-at-risk (VaR) models to calculate charges and requires regulatory approval. The standardized method applies fixed capital ratios to positions to calculate charges and has less risk sensitivity but also less regulatory requirements.
This document discusses various concepts related to managing market price risk. It defines market risk, types of market risk, and strategies for managing risk such as hedging, speculation, arbitrage, and swaps. It also defines the concepts of open interest and close out positions. Hedging involves making investments to reduce risk from adverse price movements. Speculation aims to profit from anticipated price changes and involves higher risk. Arbitrage exploits temporary price differences in similar assets. Open interest refers to the number of active futures or options contracts, and close out positions means liquidating an options position before expiry.
This document discusses different types of market risk that banks are exposed to, including liquidity risk, interest rate risk, foreign exchange risk, equity price risk, and commodity price risk. It provides definitions and explanations of these risks, as well as strategies that banks can employ to manage each type of market risk, such as maintaining adequate liquidity, using hedging tools and derivatives, setting prudent exposure limits, and monitoring investments. Diversification alone does not eliminate market or systematic risk for banks.
As the race against time to comply with IFRS 9 guidelines begins, several software solutions are being bandied about as a quick fix solution for automating the entire impairment modelling process. While automating is definitely the way to go in initiatives such as these, the question remains as to whether the software architecture should be of a strategic integrated nature or one that is decoupled and modular. In Aptivaa, we believe the answer to this lies in the 4Rs question: Readiness, Reflectiveness, Redundancy and Regularity.
Unspoken Smiles is a nonprofit foundation focused on improving oral healthcare and education in underserved communities in Haiti. The organization aims to address the widespread problem of tooth decay among school-aged children by promoting oral hygiene education, supervised toothbrushing in schools, and providing oral hygiene kits and services. The foundation is seeking $30,000 to fund a pilot project training youth as dental health workers to provide outreach in their communities and reduce oral disease. The long term goals are to expand the program to new regions in Haiti and develop a school-based dental curriculum.
In our earlier blog, we discussed PD terminology and PD calibration approaches as applicable to the IFRS 9 framework. In this blog, we have discussed the methodologies for adjusting PDs for the ‘forward-looking’ macroeconomic scenarios and development of PD Term Structure.
A key metric that summarizes the credit worthiness of a bank’s obligor is the Probability of Default (PD). Besides credit worthiness assessment and capital computation under IRB, PD is one of the key metrics required in the updated IFRS 9 accounting standards. At present, there are many PD related terminologies used in the banking industry, such as: PIT PD, TTC PD, 12-month PD and so on. Such a wide spectrum of terminologies has led to confusion among users, especially when it comes to IFRS 9, which lays special focus on PIT PD and lifetime PD. This blog intends to clarify these key terminologies.
The document discusses credit migration risk modeling for calculating the Incremental Risk Charge (IRC). It outlines the requirements for IRC models, including using a one-year capital horizon at a 99.9% confidence level. It also discusses model assumptions, such as assigning positions to liquidity buckets and using a constant level of risk trading strategy. The document then provides an initial outline for an IRC risk model and discusses considerations such as the need to model credit migration risk under both objective and risk-neutral probability measures.
As discussed in our previous blog, PIT PD describes an expectation of the future, starting from the current situation and integrating all relevant cyclical changes & all values of the obligor idiosyncratic effect with appropriate probabilities. A PIT PD mimics the observed default rates over a period of time. TTC PDs, in contrast, reflect circumstances anticipated over an extremely long period, and thus nullify the effects of credit cycle. Basing it on these definitions, the current article focuses on range of PD Calibration approaches for aligning internal rating model output with actual default rates.
Transition matrices and PD’s term structure - Anna CornagliaLászló Árvai
A transition matrix is a square matrix describing the probabilities of moving from one state to another in a dynamic system. In each row there are the probabilities of moving, from the state represented by that row, to the other states. Thus each row of a transition matrix adds to one.
The document discusses the key components of impairment modeling required for estimating expected credit losses under IFRS 9. It explains that IFRS 9 uses a three stage model where 12-month expected losses are recognized initially and lifetime losses are recognized if credit risk increases significantly. It outlines the expectations for impairment modeling, including assessing credit risk increases, defining default, quantifying probability of default and loss given default, and estimating losses using probability-weighted and loss rate approaches.
Banks are scrambling to meet with IFRS 9 guidelines and are setting down on the path to implement various ECL estimation methodologies and models. But a topic that hasn’t been given enough attention is the need for governance of these models and the attendant model risk management framework that needs to be set up to lend credibility to the model estimates. This blog touches upon the need for validation of models and how model risk governance has become paramount in view of the new guidelines.
Fundamental Review of the Trading Book - What is FRTB and why start now?Morten Weis
Presentation on new minimum standard for market risk capital, known as Fundamental Review of the Trading Book "FRTB", issued by the Basel Committee January 2016. Given by Dr. Morten Weis, independent risk management expert, at a workshop arranged by KPMG Denmark 9 June 2016 in Copenhagen, Denmark. Focus is on general introduction to the new capital standard, with emphasis on the standard method as it is used by most banks in Denmark. Advice is shared on why to start FRTB preparations now, despite rules expected in force first from 2019.
The presentation is in pdf format, but might not display correctly unless downloaded.
Credit Impairment under IFRS 9 for BanksFaraz Zuberi
A quick overview of credit impairment under IFRS 9 for banks. Those with limited or no understanding of new requirements for loan loss accounting, will get a quick high level understanding of an accounting standard that is the most significant change in accounting for loan losses in more than a decade.
This new Accenture Finance & Risk document presents an approach to addressing the reporting demands and challenges of an evolving regulatory environment. Learn more about Accenture Finance & Risk Practice: bit.ly/2j2JD6X
Considerations for an Effective Internal Model Method Implementationaccenture
In this Accenture Finance & Risk presentation we discuss an approach banks can use to develop, manage, and monitor a robust and effective Internal Model Method program. Learn more about the Accenture Finance & Risk Practice: bit.ly/2j2JD6X
The Fundamental Review of the Trading Book (FRTB) is a major challenge for the banking sector. This new Accenture Finance & Risk Services presentation explores the key implications of the new requirements and highlights key differences with previously published standards. Access this link for more information on FRTB: http://bit.ly/1NnY1RN
The document outlines the process of game development from concept to distribution. It begins with developing the initial game idea and pitching it to a publisher. If accepted, a proof of concept prototype is built and a design document is created. An development team is then assembled and the project is broken into milestones. The game passes through alpha and beta testing stages before being finalized as a gold master and mass produced for distribution.
Fundamental Review of the Trading Book (FRTB) – Data Challengesaccenture
In this Accenture Finance & Risk presentation we explore the challenges facing banks responding to the new Fundamental Review of the Trading Book (FRTB) rules and offer guidance on how to respond to these. http://bit.ly/2fojCKB
October 2019The last pit stop Time for bold late-cyc.docxvannagoforth
October 2019
The last pit stop?
Time for bold
late-cycle moves
McKinsey Global Banking Annual Review 2019
Literature title
2
Content
04
Executive summary
07
The late cycle:
Welcome to uncertainty
23
Time for bold moves:
Levers to improve performance in the late cycle
41
The right moves for the right bank
55
Conclusion
3 The last pit stop? Time for bold late-cycle moves
A decade on from the global financial
crisis, signs that the banking industry has
entered the late phase of the economic
cycle are clear: growth in volumes and
top-line revenues is slowing with loan
growth of just four percent in 2018—the
lowest in the past five years and a good
150 basis points below nominal GDP
growth. Yield curves are also flattening.
And, though valuations fluctuate, investor
confidence in banks is weakening
once again.
Industry veterans have been through
a few of these cycles before. But,
notwithstanding the academic literature,1
this one seems different. Global return
on tangible equity (ROTE) has flatlined
at 10.5 percent, despite a small rise in
rates in 2018. Emerging market banks
have seen ROTEs decline steeply, from
20 percent in 2013 to 14.1 percent in
2018, due largely to digital disruption that
continues unabated. Banks in developed
markets have strengthened productivity
and managed risk costs, lifting ROTE
from 6.8 percent to 8.9 percent. But on
balance, the global industry approaches
the end of the cycle in less than ideal
health with nearly 60 percent of banks
printing returns below the cost of equity. A
prolonged economic slowdown with low or
even negative interest rates could wreak
further havoc.
What explains the difference between
the 40 percent of banks that create
value and the 60 percent that
destroy it? In short, geography, scale,
differentiation, and business model.
1 Carmen M. Reinhart and Kenneth S. Rogoff, This Time is Different: Eight Centuries of Financial Folly,
Princeton, NJ: Princeton University Press, 2009.
On the first, we find that the domicile
of a bank explains nearly 70 percent
of underlying valuations. Consider the
United States, where banks earn nearly
ten percentage points more in returns
than European banks do, implying
starkly different environments. Then
comes scale. Our research confirms that
scale in banking, as in most industries,
is generally correlated with stronger
returns. Be it scale across a country, a
region, or a client segment. Having said
that, there are still small banks with niche
propositions out there generating strong
returns, but these are more the exception
than the rule. Underlying constraints of
a business model also have a significant
role to play. Take the case of broker
dealers in the securities industry, where
margins and volumes have been down
sharply in this cycle. A scale leader in the
right geography as a broker dealer still
doesn’t earn cost of capital.
Domicile is mostly out of a bank’s control.
...
This document provides an overview of the work several international standard-setting bodies have done regarding crypto-assets. The Financial Stability Board has developed a framework to monitor crypto-assets and potential financial stability risks. The Committee on Payments and Market Infrastructures has conducted work on distributed ledger technology and is monitoring payment innovations. The International Organization of Securities Commissions is establishing networks to discuss initial coin offerings and developing guidance. The Basel Committee is quantifying bank exposures and clarifying regulatory treatment of crypto-assets. Collectively, this work aims to identify and mitigate risks to markets and stability from crypto-assets.
This presentation discusses liquidity risk management for financial institutions. It begins with definitions of liquidity risk and introduces the concept of a liquidity gap as a measurement of liquidity. New regulations focusing on liquidity are discussed, including both qualitative and quantitative approaches. The presentation recommends two new ratios - the Liquidity Coverage Ratio and Net Stable Funding Ratio proposed by the Basel Committee. Best practices for liquidity risk measurement and management are then outlined, including policies, stress testing, contingency funding plans, risk limits, and oversight.
Basel II is an international framework that establishes capital requirements and risk management procedures for banks. It was introduced in 1988 and revised in 2006. Pillar 1 establishes minimum capital requirements for credit, market, and operational risk. Banks can use a standardized approach or develop internal ratings. Pillar 2 covers internal and external supervision, requiring banks to have capital assessment processes and allowing supervisors to require more capital if needed. Pillar 3 focuses on disclosure to financial markets regarding banks' risk profiles and capital adequacy.
The document discusses the impacts and perspectives of the Fundamental Review of the Trading Book (FRTB) regulation. Key points:
1. Market participants provided over 200 comments on the FRTB to the Bank for International Settlements (BIS), with the majority focused on methodological issues in the standardized and internal model approaches.
2. Comments highlighted significant challenges for banks in meeting the requirements, including the short implementation timeframe and substantial investments needed in infrastructure like IT architecture, data management, and organizational changes.
3. While some improvements in the FRTB were welcomed, comments also identified remaining methodological issues like risk insensitivity in certain asset class treatments, and concerns that the non-modellable risk
This document discusses approaches for measuring and managing systemic risk from an economic perspective. It outlines network analysis, portfolio modeling using market data, and macro stress testing approaches. It also discusses plausible mitigation strategies like hedging, collateral management, and central clearing counterparties. Specific examples are provided on modeling local contagion, ranking financial institutions by systemic risk under baseline and stressed scenarios, and assessing the impact of sovereign defaults. Collateral management strategies like haircut valuation under baseline and stressed conditions are also examined.
There was a man who made a living selling balloons at a fair. He had all colors of
balloons, including red, yellow, blue, and green. Whenever business was slow, he would
release a helium-filled balloon into the air and when the children saw it go up, they all
wanted to buy one. They would come up to him, buy a balloon, and his sales would go up
again. He continued this process all day. One day, he felt someone tugging at his jacket.
He turned around and saw a little boy who asked, "If you release a black balloon, would
that also fly?" Moved by the boy's concern, the man replied with empathy, "Son, it is not
the color of the balloon, it is what is inside that makes it go up."
The same thing applies to our lives. It is what is inside that counts. The thing inside of us
that makes us go up is our attitude.
Have you ever wondered why some individuals, organizations, or countries are more
successful than others?
It is not a secret. These people simply think and act more effectively. They have learned
how to do so by investing in the most valuable asset--people. I believe that the success
of an individual, organization or country, depends on the quality of their people.
I have spoken to executives in major corporations all over the world and asked one
question: "If you had a magic wand and there was one thing you would want changed,
that would give you a cutting edge in the marketplace resulting in increased productivity
and profits, what would that be?" The answer was unanimous. They all said that if people
had better attitudes, they'd be better team players, and it'd cut down waste, improve
loyalty and, in general, make their company a great place to work.
William James of Harvard University said, "The greatest discovery of my generation is
that human beings can alter their lives by altering their attitudes of mind."
Experience has shown that human resources is the most valuable asset of any business.
It is more valuable than capital or equipment. Unfortunately, it is also the most wasted.
People can be your biggest asset or your biggest liability.
TQP--TOTAL QUALITY PEOPLE
Having been exposed to a number of training programs, such as customer service,
selling skills, and strategic planning, I have come to the conclusion that all these are
great programs with one major challenge: None of them works unless they have the right
foundation, and the right foundation is TQP. What is TQP? TQP is Total Quality People--
people with character, integrity, good values, and a positive attitude.
Don't get me wrong. You do need all the other programs, but they will only work when
you have the right foundation, and the foundation is TQP. For example, some customer
service programs teach participants to say "please," and "thank-you," give smiles and
handshakes. But how long can a person keep on a fake smile if he does not have the
desire to serve? Besides, people can see through him. And if the smile is not sincere, it is
irritating. My point is, there has to be sub.
This document discusses collateral optimization and the value chain of collateral from liquidity, cost, and capital perspectives. It conducted a survey of 22 European financial institutions on their collateral management practices. The survey found that implementing a collateral value chain across business lines could allow European banks to save up to €40 billion in equity capital requirements. It also examined the challenges of accessing liquid assets and establishing processes for liquidating or transforming collateral to meet regulatory liquidity requirements. Finally, it proposed that optimizing collateral management is a strategic priority for financial institutions to help improve profitability and manage volatile market flows in today's regulated environment.
This presentation provides a highlight of the key issues in the management of Market Risk. It touches briefly some of the elements of the Basel 2 Accord with respect to Market Risk
This document provides an overview and analysis of repo markets across EMEAP member countries. It finds that while repo markets have developed in the region, there is still room for improvement. Most countries collect some repo market data through regular surveys conducted by regulators or private sector bodies. However, data availability and transparency varies. The document then analyzes similarities and differences across regional repo markets before providing individual profiles of the repo market for each EMEAP member country. It concludes there is scope to further develop non-government debt markets and secondary market liquidity in some countries.
Rwa density what lies behind this underrated financial ratioLéonard Brie
This document discusses the RWA (Risk-Weighted Assets) density ratio, which is calculated by dividing a bank's total RWA by its total assets. The ratio emerged as regulators increasingly focused on risk management and standardized RWA calculations under Basel II and III. While critics question RWA density, the document argues it provides useful information when used alongside other indicators. It presents RWA density's origins and definitions, then analyzes theoretical portfolios and European banks' RWA densities from 2012-2014. The conclusion evaluates RWA density's potential to help monitor bank risks and resources if further refined.
The document discusses a panel on shadow banking and money market funds. It summarizes the remarks of several panelists:
- Graham Bishop expressed support for shadow banking but dislike of the term.
- Kay Swinburne argued shadow banking is an essential source of capital and not unregulated.
- Anastasia Nesvetailova described the origin and evolution of shadow banking and argued it is a complex financial phenomenon.
- David Carruthers supported transparency efforts but noted regulatory actions require consideration.
- Gareth Murphy argued shadow banking should be monitored to address data gaps and support financial stability.
The panels discussed terminology issues, data gaps, and regulatory approaches regarding shadow banking and money market funds.
Traditionally, quantitative finance practitioners are divided into two populations: those who seek fair values, i.e. means of price distributions, and those who seek risk measures, i.e. quantiles of price distributions. Fair value people and risk people typically live in separate lands, and worship different gods: the profit and loss balance sheet, and regulatory capital, respectively.
Prudent Valuation is a rather unexplored midland which has recently emerged somewhere in between the well known mainlands of Pricing and Risk Management. In fact, the Capital Requirements Regulation (CRR), requires financial institutions to apply prudent valuation to all fair value positions. The difference between the prudent value and the fair value, called Additional Valuation Adjustment (AVA), is directly deducted from the Core Equity Tier 1 (CET1) capital. The Regulatory Technical Standards (RTS) for prudent valuation proposed by the EBA have been adopted by the EU (reg. 2016/101) on 28th Jan. 2016.
The 90% confidence level required by regulators for prudent valuation links quantiles of price distributions (exit prices) to capital, thus bridging the gap between the Pricing and Risk Management mainlands, and forcing the crossbreeding of the fair value and risk populations above.
In this seminar, we will explore the Prudent Valuation land.
This document discusses the Capital Adequacy Ratio (CAR) and its evolution over time from Basel I to Basel III. It defines CAR as the ratio of a bank's capital to its risk-weighted assets. Basel I established an initial CAR requirement of 8% in 1988. Basel II introduced a more risk-sensitive approach and recognized additional risks. Basel III further strengthened regulations by improving capital quality and introducing liquidity requirements. The overall purpose was to increase stability in the banking system and strengthen a bank's ability to absorb financial and economic shocks.
Repo, Security, Collateral Management –are we on the right track? - Godfried ...László Árvai
The document summarizes key findings from an ICMA study on the potential impacts of introducing mandatory buy-ins under the Central Securities Depositories Regulation (CSDR). The study found that liquidity across European bond and repo markets would significantly decrease, with bid-offer spreads widening dramatically. For less liquid bonds, market makers would withdraw liquidity or stop providing quotes altogether. The repo market would also be significantly affected, with more reliance on short-term repo and withdrawals of liquidity for less liquid bonds. The study estimates the costs of these impacts for bond and repo markets would be substantial.
This document summarizes initial lessons from the financial crisis in three areas: regulation, macroeconomic policy, and the global financial system. Key failures included fragmented regulation that allowed regulatory arbitrage, a lack of coordination between macro and financial stability policies, and an inability within the global system to identify vulnerabilities. Lessons indicate regulation needs broader oversight of all systemically important financial activities, macro policies should consider financial stability risks, and greater international cooperation is required.
Basel II aims to establish a more risk-sensitive approach to capital adequacy by addressing three main areas or pillars: minimum capital requirements, supervisory review, and market discipline. It requires banks to hold capital reserves proportional to their credit, market, and operational risk. The framework allows two approaches for calculating credit risk - a standardized approach and internal ratings-based approaches. Pillar 2 covers supervisory review to ensure banks have adequate capital for all risks and encourage better risk management. Pillar 3 focuses on market discipline through public disclosures.
The document discusses how corporations can use data analytics to detect fraud through analyzing large volumes of transaction data. It describes three common techniques used: distribution analysis, which looks for anomalies compared to statistical norms like Benford's Law; correlation analysis, which identifies anomalies in cause-and-effect relationships; and scenario testing, which simulates how fraudsters may exploit control weaknesses. While useful, data analytics techniques have limitations, and fighting fraud ultimately relies on increasing the probability of detecting abnormal transactions through these types of sophisticated analyses.
Basel III is a global regulatory standard that aims to strengthen bank capital requirements and introduce new regulatory requirements on bank liquidity and leverage. It was developed in response to deficiencies in previous regulations that contributed to the global financial crisis. The goals of Basel III include improving the banking sector's ability to absorb shocks from financial and economic stress, reducing risks, and strengthening transparency. Key changes under Basel III include higher and better quality capital buffers, introduction of leverage ratio, liquidity coverage ratio, net stable funding ratio, and capital surcharges for systemically important banks.
James Okarimia - Basel II Pillar1 Analytics : Covering Credit, Market,and Ope...JAMES OKARIMIA
The document discusses Basel II analytics covering the three pillars of credit risk, market risk, and operational risk. For credit risk, it describes various risk components like probability of default, exposure at default, loss given default, expected loss, and different approaches for calculating capital requirements. For market risk, it mentions risks like market data analysis, sensitivity modeling, and stress testing. For operational risk, it discusses the basic indicator approach, standardized approach, and advanced measurement approach. It also covers the internal capital adequacy assessment process under Pillar 2 and market discipline requirements under Pillar 3.
Similar to Market Risk and capital requirements: a hide and seek game (20)
How Does CRISIL Evaluate Lenders in India for Credit RatingsShaheen Kumar
CRISIL evaluates lenders in India by analyzing financial performance, loan portfolio quality, risk management practices, capital adequacy, market position, and adherence to regulatory requirements. This comprehensive assessment ensures a thorough evaluation of creditworthiness and financial strength. Each criterion is meticulously examined to provide credible and reliable ratings.
OJP data from firms like Vicinity Jobs have emerged as a complement to traditional sources of labour demand data, such as the Job Vacancy and Wages Survey (JVWS). Ibrahim Abuallail, PhD Candidate, University of Ottawa, presented research relating to bias in OJPs and a proposed approach to effectively adjust OJP data to complement existing official data (such as from the JVWS) and improve the measurement of labour demand.
Vicinity Jobs’ data includes more than three million 2023 OJPs and thousands of skills. Most skills appear in less than 0.02% of job postings, so most postings rely on a small subset of commonly used terms, like teamwork.
Laura Adkins-Hackett, Economist, LMIC, and Sukriti Trehan, Data Scientist, LMIC, presented their research exploring trends in the skills listed in OJPs to develop a deeper understanding of in-demand skills. This research project uses pointwise mutual information and other methods to extract more information about common skills from the relationships between skills, occupations and regions.
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OJPs are becoming a critical resource for policy-makers and researchers who study the labour market. LMIC continues to work with Vicinity Jobs’ data on OJPs, which can be explored in our Canadian Job Trends Dashboard. Valuable insights have been gained through our analysis of OJP data, including LMIC research lead
Suzanne Spiteri’s recent report on improving the quality and accessibility of job postings to reduce employment barriers for neurodivergent people.
Decoding job postings: Improving accessibility for neurodivergent job seekers
Improving the quality and accessibility of job postings is one way to reduce employment barriers for neurodivergent people.
2. Elemental Economics - Mineral demand.pdfNeal Brewster
After this second you should be able to: Explain the main determinants of demand for any mineral product, and their relative importance; recognise and explain how demand for any product is likely to change with economic activity; recognise and explain the roles of technology and relative prices in influencing demand; be able to explain the differences between the rates of growth of demand for different products.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
Lecture slide titled Fraud Risk Mitigation, Webinar Lecture Delivered at the Society for West African Internal Audit Practitioners (SWAIAP) on Wednesday, November 8, 2023.
Economic Risk Factor Update: June 2024 [SlideShare]Commonwealth
May’s reports showed signs of continued economic growth, said Sam Millette, director, fixed income, in his latest Economic Risk Factor Update.
For more market updates, subscribe to The Independent Market Observer at https://blog.commonwealth.com/independent-market-observer.
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2. Outlook
Regulatory mindset
Banks and markets
A hide and seek game?
Fire internal risk models?
Quantitative Impact Studies (QIS) dismissed?
The cons of Standardized Sensitivity Based
Approach (SA/SBA)
A pragmatic approach to finalizing FRTB
Monitoring of SA/SBA to IMA and look for « real outliers »
Inclusion of settlement prices as modellable risk factors
Revamp PnL Attribution Test according to regulators’
objectives
2
5. A hide and seek game?
“I’ll say it again; I’d like you to print it. There is no big
wave of additional capital ».
Mark Carney, December 2015
“There’s an ugly rumour that global regulators are planning
Basel 4 ‐ a new set of regulations to keep banks in check ‐
And it’s not true”.
Mark Carney, January 2016, Christian Noyer’s symposium, Paris
“We agree with the premise of the Basel Committee that
this exercise was about not raising capital requirements”
Daniel Tarullo, September 2016, CNBC
EBA chair Andrea Enria said that regulators were fed up with
the hide and seek approach of banks in lobbying against
every regulatory change.
http://www.reuters.com/article/regulations‐banking‐basel‐idUSL8N1BK2MT
5
10. QIS/Monitoring Exercises dismissed?
Excerpts from Explanatory note on the revised
minimum capital requirements for market risk (2016)
“When the Basel 2.5 market risk reforms were finalized in
July 2009, the impact study indicated an average (median)
increase of 223.7% (102.0%) in market risk capital
requirements”.
“QIS estimates at the time suggested that total market risk
capital requirements as a proportion of overall Basel capital
requirements would increase from 7.3% to 19%”.
“Subsequent to these high QIS estimates, however, bank
data provided as of end‐June 2014 showed that total market
risk capital requirements formed a 5.7% share of overall
Basel III capital requirements”.
10
16. Finalizing FRTB : Redefine « real
price » criteria for NMRF
MRF real price criteria may not provide good
incentives regarding data management and
market transparency
Include settlement prices from CCPs or bilateral
CSA
Thus aligning streams on OTC markets and
regulatory capital
https://www.linkedin.com/pulse/real‐prices‐risk‐weighted‐
assets‐trading‐book‐jean‐paul‐laurent?trk=mp‐reader‐card
Align NMRF and SA correlations for better
consistency between IMA and SA?
16
Usefulness of banking intermediation on financial markets?
Providing liquidity (bond issuance and trading), SFTs
Enhance risk transfers (hedging/investment strategies) on different asset classes : OTC derivatives (risk intermediation)
Market Liquidity after the Financial Crisis, Federal Reserve Bank of New York Staff Reports. Adrian, Fleming & Voght, NY Fed Staff reports.
The best and the worst of VaR in a Basel III context
Ratio of 90%/10% quantiles = 1.84. Note that the average median = one, thus no model provides lower figures in average.
Shaky ratios of VaRs means that the ranking of risk models for simple hypothetical portfolios is meaningless.
“We see the Fundamental Review of the Trading Book proceeding well. We see it as quite modest in terms of its overall impact”.
Mark Carney, http://www.bloomberg.com/news/articles/2015-12-01/carney-dismisses-basel-iv-talk-as-regulator-meets-in-new-York
NMRF charge is even more punitive than SA/SBA
Note that all SA risk factors are deemed modellable
Local currency rates?
Apart from credit (under extremely stringent conditions), capital charges add-up (no diversification benefits as in SA).
NMRF charge is likely to be vastly understated by some banks and requires further monitoring exercises
The Committee will continue to conduct further quantitative assessment on the profit and loss (P &L) attribution test required for the revised internal models approach. This will complement previous
quantitative impact assessments to calibrate the P & L attribution test to a meaningful level. Appropriate calibration is important for this supervisory tool to ensure the robustness of banks’ internal models at
the trading desk level