Stress Testing Mortgages. Part 1
“One needs to be careful and not over-reliant on any one model,” said Scott L. Smith, Associate Director for Capital Policy at the Federal Housing Finance Agency (FHFA). He was referring to the financial models used by major financial institutions to estimate potential losses. On February 4, 2015, he was presenting a GARP-sponsored webinar on countercyclical stress tests to set capital requirements. Smith explained how credit risk is measured for mortgages, and described a way to embed stress testing that uses countercyclical concepts. He and colleague Jesse Weiher, Senior Economist at FHFA, performed dynamic stress testing that was adjusted to […]
When Data Is Sparse. Part 2
It’s difficult to model sovereign credit risk for emerging markets using structural models such as the Merton model because “calibration is always an issue,” said Rob Stamicar, Senior Director of Research in Multi-Asset Class Risk Management at Axioma, continuing a theme during the second half of his webinar on December 2, 2014. During the first half, he showed how the probability of default can be used as a common link among the asset classes of interest (bonds, swaps, and equities). In the second half, he focused more on sovereign credit risk. Calculation of sovereign risk could be done directly, “but […]
When Data Is Sparse. Part 1
When modelling risk in emerging markets, are you hampered by sparse data? “Relationships between different asset classes can help measure the sovereign risk in emerging markets,” said Rob Stamicar, Senior Director of Research in Multi-Asset Class Risk Management at Axioma. He was sole presenter at a webinar on December 2, 2014, sponsored by the Global Association of Risk Professionals. When modelling global multi-asset class portfolios, “aggregation can be challenging,” said Stamicar, because the FX rates must also be taken into consideration—the subject for another day. His talk focussed on three asset classes: equity, fixed income, and credit portfolios. Infrequent data, […]
DFAST 2. Challenges of Modeling Credit Risk
There are multiple challenges to private firm commercial & industrial (C&I) risk management, according to Mehna Raissi, Director, Enterprise Risk Solutions at Moody’s Analytics. She was the second of two speakers at a GARP-sponsored webinar on September 9, 2014, to address the Dodd-Frank Act Stress Test (DFAST). Successful risk management depends on three things: the potential for error within standardized processes; ongoing monitoring of counterparty credit risk; and the efficacy of credit risk models. A very big challenge is data quality and availability. “What are the types of variables and factors needed?” Raissi asked. “How can we take into consideration […]
DFAST 1. Modeling Losses and Provisions Over Time
Although Dodd-Frank Act Stress Testing (DFAST) requirements may be the primary motivation for bringing stress testing to the forefront, they should not be the only reason a bank explores the components of loan loss forecasting under a stressed scenario, said Chris Henkel, Senior Director, Enterprise Risk Solutions at Moody’s Analytics. He was the first of two panelists at a webinar held on September 9, 2014, sponsored by the Global Association of Risk Professionals. An accurate forecast of charge-offs is crucial, Henkel said, so that a firm “can estimate what allowances should be and how large the provisions should be,” thereby […]
Risk Ratings 2. “Hundreds of Spreadsheets”
“There were hundreds of different spreadsheet templates floating around,” said Christopher Hansert, Product Manager at Bosch Software Innovations, and the second of two presenters at a GARP webinar on the impact of new capital rules on risk ratings, held June 24, 2014. He presented a case study of an unnamed US commercial bank. Due to an acquisition during the period of regulatory change, he said that the bank had a “heterogeneous set of platforms, models, and inconsistent ratings. They wanted one robust and centralized” risk rating system. Inconsistencies in the risk rating process increased the likelihood of error, Hansert pointed […]
Risk Ratings 1. The Big Choke Points
“The inter-connectedness of the regulatory landscape has increased dramatically,” said Balachander Lakshmanan, Director at Deloitte & Touche LLP. He was the first of two presenters at the June 24, 2014, webinar sponsored by the Global Association of Risk Professionals to discuss the impact of capital rules on risk rating systems. In the wake of the financial crisis, new regulations—Basel, Volcker rule, Comprehensive Capital Analysis and Review (CCAR)—have proliferated. Due to changes in capital rules, new operating models are starting to emerge at banks, said Lakshmanan. There are requests for “spot calculations” or snapshots of a bank at any given time. […]
Counterparty Credit Risk 3. Modelling
“Counterparty credit risk is particularly difficult” to model due to its “bilateral nature” and the fact it often covers more than one year, said Rajan Singenellore, Global Head of the Default Risk and Valuation Group at Bloomberg. He was the third of three presenters at a GARP webinar on counterparty risk held on May 20, 2014. Singenellore divided the challenges to modelling counterparty risk into three categories. The first, the counterparty’s probability of default (PD), depends on multiple factors and requires estimates of recovery. The second category is how to estimate the future value of securities, which depends on the […]
Counterparty Credit Risk 2. The Good, the Bad, the Ugly, and the Unseen
“Data and its accuracy are key to making this work,” said Robert Scanlon, referring to counterparty credit risk. Scanlon is the former Group Chief Credit Officer of Standard Chartered Bank and current Principal, Scanlon Associates. As the second of three speakers at a GARP webinar on counterparty risk held on May 20, 2014, Scanlon spoke from years of experience with risk practices. First, the good part of calculating counterparty credit risk. Scanlon said there is plenty of data already, especially for consumer/retail transactions. “You can start with a steady state assumption and get more data as time goes on. Ask […]
Counterparty Credit Risk 1. Regulatory Landscape
“Things got out of control very quickly” during the collapse of Lehman Brothers, said Cady North, Senior Finance Analyst for Bloomberg Government, as she compared counterparty credit risk analysis before and after Dodd-Frank legislation was enacted. North was the first of three speakers at a webinar held on May 20, 2014, sponsored by the Global Association of Risk Professionals. The webinar attracted a record number of registrants. Prior to the financial crisis of 2007, “no regulatory reporting was going on for counterparty risk on a regular basis,” North said. There was lack of a common legal entity identifier for Lehman […]