Basel III
104 white papers and resources
Risk Library hosts a number of Basel III white papers by leading experts. Use the information resource for the latest industry developments and to ensure that your organisation meets all Basel III requirements. Basel III is the third set of global regulatory requirements agreed upon by members of the Basel Committee. It builds upon Basel I and II by adding new core capital requirements to strengthen a banks position. Banks will now have to hold increased levels of common equity and additional capital butters, including a counter cyclical buffer. A minimum leverage ratio and liquidity ratios are being introduced.
Reading the Tea Leaves of Recent Regulatory Guidance
This white paper will explore the Federal Reserve’s “Guidance on Supervisory Assessment of Capital Planning and Positions” (SR 15-18 and SR 15-19). The paper further examines the BCBS’s “Guidance on Credit Risk and Accounting for Expected Credit Losses”.
Fundamental Review of the Trading Book: Impacts & Market Perspectives
This white paper analyses the Fundamental Review of the Trading Book (FRTB), covering its origins, responsibilities and priorities. The paper further identifies how market participants interpret the reform and examines some of the FRTB’s key issues.
Risk-Weighted Assets (RWA) density | What lies behind this underrated financial ratio
This white paper will cover the origins of the Risk-Weighted Assets ratio and the history of its use in financial analysis. The paper will further showcase its characteristics and behavioural traits, exemplified through a number of theoretical tests.
Enterprise Stress Testing Systems 2015: SAS Vendor Highlights
This report provides an independent evaluation and description of leading practices from SAS as well as its competitive position in the market. The report also includes a brief look at key business and regulatory challenges and focuses on the technology landscape for enterprise stress testing.
Interest Rate Risk In The Banking Book – How to manage IRRBB considering the Monetary Policy and the new regulation
This white paper focuses on understanding how current market conditions (low interest rates) can affect banks’ revenues and profitability. The paper further analyses, via simulations on a real portfolio, the impacts of interest rate moves on the Economic Value of Equity and the Earnings at Risk.
An Enhanced Liquidity Risk Management Framework for Banks
This white paper shows the advantages of including internal behavioural models into an institution’s liquidity risk management practices to enhance returns and exploit competitive advantages related to their balance sheet composition, funding structure, and business model.
Fundamental Review of the Trading Book: Impacts on financial institutions in Australia
This white paper aims to outline the Fundamental Review of the Trading Book's key requirements, and how they translate into processes in and around the trading book. It offers suggestions with respect to best practices for the design and development of a platform to meet concerns raised by…
Post-Scoring Classification for Low Default Portfolios
This whitepaper aims to provide clues for optimizing Post-Scoring classification as well as analysing the relationship between the number of classes in a rating scale and the impact on regulatory capital for Low Default Portfolios.
Stress Testing: Putting the Pieces Together to Solve an Increasingly Intricate Puzzle
The global financial crisis and the aftermath that continues to unfold have created a justifiable obsession with stress among bankers and supervisors. The sharper focus has made stress testing a key component of the evolving global regulatory framework covering risk control and capital discipline.
Next generation criminal fraud detection: Identifying account takeover and fraudulent transactions to help stop cybercriminals
In today’s ever changing fraud landscape, much of the currently used statistical-based fraud detection methodology is creating significant challenges for both organizations and end users. These statistical models generate high false positive rates and provide a risk score that does not effectively…