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EBA’s Latest Risk Report for European Banks: Interesting, But Mistimed

Challenged by lockdowns, temporary or permanent closures of businesses, and cash-flow shortfalls for many of their business clients, European banks have faced an unprecedented “real-life” stress test...

June 10, 2022 | By Marco Folpmers

Credit

Model Validation for Credit Risk: A Critical Deficiency in the Jeffreys Test

A loan portfolio with zero defaults over, say, the past 12 months, is generally considered excellent – as long as the return on the portfolio is strong, of course. However, for credit risk...

May 13, 2022 | By Marco Folpmers

Market

New Drivers for Credit Risk: Increasing Interest Rates and Rising Geopolitical Risk

Credit risk and interest rate risk are often perceived by banks as worlds apart, thanks in part to the well-established risk taxonomy of the Basel Committee on Banking Supervision (BCBS). However, in...

April 8, 2022 | By Marco Folpmers

Credit

Basel III: The Impact of the New Probability of Default Input Floor

In 2023, as part of a Capital Requirements Regulation (CRR3) amendment, the probability of default (PD) input floor will rise from three basis points (bps) to five. While this may not seem like a...

February 11, 2022 | By Marco Folpmers

Credit

How to Improve LGD: Unlocking the Generalized Area Under the Curve

It is difficult to gauge the performance of loss-given default (LGD) models, partly because it’s hard to discern the difference between estimated and realized LGD. But the generalized area under the...

January 14, 2022 | By Marco Folpmers

Technology

The Rise of Machine Learning in IRB Models: New EBA Outlook Could Open Door

Until now, European banks have been hesitant to apply machine learning (ML) to their internal-ratings-based (IRB) models for credit risk. The supervisory requirements they had to meet to ensure they...

December 10, 2021 | By Marco Folpmers

Credit

The Changing Credit Risk Management Landscape at European Banks

Throughout 2021, European banks have devoted considerable time to reassessing and recalibrating their probability-of-default (PD) and loss-given-default (LGD) models. Consequently, irregularities in...

November 12, 2021 | By Marco Folpmers

Credit

Model Risk: Why Size Matters for Banks

As a general rule, the bigger the bank, the more sophisticated its credit-risk models. But determining the size of a bank is very dependent on one's measurement approach. The same holds true, on a...

October 8, 2021 | By Marco Folpmers

Technology

Credit-Risk Models Based on Machine Learning: A 'Middle-of-the-Road' Solution

Financial institutions are using machine-learning-driven models for everything from anti-money laundering to fraud protection. However, while ML models have undoubtedly yielded gains in these areas,...

September 10, 2021 | By Marco Folpmers and Linda Torn

Credit

Probability of Default: The Pluses and Minuses of Transition Matrices

Transition matrices measure the transition probabilities for credit-risk ratings over specific time intervals, and are among the most vital tools at the disposal of a credit risk manager for...

August 13, 2021 | By Marco Folpmers

Credit

Beyond Probability of Default: How to Expand the Use of the Jeffreys Test

The Jeffreys test is the most important diagnostic tool for assessing the calibration of the bucket probability of default (PD). However, it actually has a wider range of applications. Potentially,...

July 9, 2021 | By Marco Folpmers

Credit

The Riskiness of Small Banks vs. Large Banks: Size Matters

Bigger is better. At least, it seems, with respect to the riskiness of banks. The capital, profitability and credit risk differences between small and large banks were highlighted in a European Bank...

June 11, 2021 | By Marco Folpmers

Culture & Governance

The New Basel Framework for Climate Risk Management: Pros and Cons

The Basel Committee on Banking Supervision (BCBS) recently published an interesting framework for climate risk that includes helpful advice on how a financial institution can integrate climate...

May 14, 2021 | By Marco Folpmers

Credit

The Skewed Generalized T Distribution: A Swiss Army Knife for Tail Risk

Every risk professional knows that price shifts can widely diverge. Daily or weekly returns can go up or down in a more significant way than predicted by a normal distribution. When assessing and...

April 9, 2021 | By Marco Folpmers

Credit

Pros and Cons of the Six Sigma Approach for Credit Risk Management

Over the past 12 months, bank have faced a myriad of difficulties, ranging from data deficiencies to dwindling profits to rising default risk and falling interest rates. Complicating matters further,...

March 12, 2021 | By Marco Folpmers

Technology

Tempered Expectations: The Hope and Reality of AI in Risk Management

A couple of years ago, risk professionals had great expectations about artificial intelligence (AI). But the expected paradigm shift hasn't yet occurred - at least not for probability of default (PD)...

February 12, 2021 | By Marco Folpmers

Credit

Probability of Default: Pros and Cons of the Population Stability Index

All banks need to meet quality standards for their probability of default (PD) rating systems, and the Population Stability Index (PSI) is an easy-to-use PD stability assessment tool. However, it's...

January 29, 2021 | By Marco Folpmers

Credit

The Uncertain Future of Credit Risk in Europe: Banks, Borrowers, and Expiring Moratoria

In response the pandemic, borrowers across Europe were given more time to repay their loans in 2020, with the help of government-support programs and guidelines issued by the European Banking...

December 11, 2020 | By Marco Folpmers

Credit

Economic Capital in Times of COVID-19

In the aftermath of the 2008 global financial crisis (GFC), economic capital (EC) - a popular tool for calculating capital requirements across different risk types - fell into disfavor at some banks....

October 9, 2020 | By Marco Folpmers

Credit

Probability of Default: How to Pass the Jeffreys Test and Improve Predictive Ability

Proper back-testing is crucial for any bank that submits its PD and LGD models to its supervisor for approval. To meet the requirements of regulators like the European Central Bank (ECB), banks must...

September 18, 2020 | By Marco Folpmers

Credit

The Role of AI in Credit Risk: A Conversation

When working earlier this year in San Francisco, I found myself in a small breakfast restaurant in the Embarcadero area, where I was enjoying breakfast and the newspaper. Since the place was...

August 14, 2020 | By Marco Folpmers

Credit

The Effects of COVID-19 on Expected Credit Loss Modeling

Contending with the economic shocks of COVID-19 - including unemployment, decreasing revenues and high projected credit losses - banks must now overcome unprecedented credit risk management...

June 19, 2020 | By Marco Folpmers

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