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 […]
Commercial Credit Analytics 2: A Missed Opportunity
Many banks are wasting the loans data they capture, according to David O’Connell, Senior Analyst, Aite Group, a financial services consulting group. This posting summarizes the second half of his webinar organized by the Global Association of Risk Professionals on February 20, 2014. O’Connell contrasted marketing teams with underwriting teams. Marketing teams use predictive analytics to decide which customers are most likely to respond to certain campaigns. They are very forward-thinking in devising the “customer next best action,” he said. O’Connell encouraged the credit and underwriting teams to have a similar outlook—to also make use of predictive analytics to determine “borrower […]
Commercial Credit Analytics 1: Under-utilized Tools
“There is a surprising under-utilization of common tools,” said David O’Connell, Senior Analyst, Aite Group, a financial services consulting group, during a webinar organized by the Global Association of Risk Professionals on February 20, 2014. He was referring to a survey by Aite Group of about twenty North American commercial loan underwriting professionals (responses as at quarter end Q3 2012). O’Connell characterized the under-utilization as “surprising” because loan underwriting is such an important part of banking. O’Connell was formerly a loan underwriting and loans officer, and was clearly familiar with the details of commercial lending and its role in “Banking […]
Stress Testing, Part 2: Data, the River
A common theme throughout contemporary financial stress testing is “data, the risky river,” said David O’Connell, Senior Analyst, Aite Group, a financial services consulting group. He was the second of two speakers to address issues around data in stress testing in a webinar organized by GARP on January 28, 2014. The recent financial crisis has permanently altered the relationship between the central bank and all other financial institutions, said O’Connell. The central bank is now looking at them as potential customers for a line of credit, and thus must carry out due diligence including asking for proof that the financial […]
Stress Testing, Part 1: The Data Mountain
Demands by regulators for increased frequency of reporting and more granularity of data in financial stress testing “are creating a data mountain,” said Jon Asprey, VP Strategic Consulting, Trillium Software. He was the first of two speakers to address the issue of data in stress testing in a webinar organized by the Global Association of Risk Professionals on January 28, 2014. He contrasted the new demands with early (pre-financial crisis) days of Basel reporting, when the summary level was sufficient. The data mountain has a significant impact on financial institutions, creating “the month-end panic,” Asprey said, since reporting at most […]
Basel, the Big Picture: Tackling Risk Aggregation & Reporting. Part 2
“What [should we] look for in a risk aggregation solution?” asked Renzo Traversini, Director of Europe, the Middle East and Africa & Asia-Pacific, Risk Management Center of Excellence at SAS. He was the second of two speakers at a GARP-sponsored webinar to discuss the recently released Basel paper, Principles for Effective Aggregation and Reporting of Risk Data. Traversini focussed on the “nuts and bolts” of how to aggregate and report risk data. SAS is one of the major suppliers of information technology (IT) solutions in financial risk management. Timeliness is crucial to a good reporting system. Traversini began by showing […]
Risk Data Aggregation & Risk Reporting. Part 2
“Not everything that can be counted counts,” said Mike Donovan, VP, Strategic Risk Analytics & Credit Portfolio Management at Canadian Imperial Bank of Commerce (CIBC). He was the second speaker to address the September 19, 2013 evening meeting of the Toronto chapter of GARP regarding the set of Principles for Effective Risk Data Aggregation & Risk Reporting released by the Basel Committee in January 2013. CIBC, like other Canadian banks, is adapting to the heightened risk management data requirements and building the foundation for future sustainable growth. Donovan used the opening quote by Einstein to remind the audience that big […]
Risk Data Aggregation & Risk Reporting. Part 1
During the throes of the last financial crisis, banks and regulators alike “struggled” to get good quality information. “The infrastructure was not there,” said James Dennison, CFA, Managing Director, Operational Risk Division, Office of the Superintendent of Financial Institutions (OSFI). To enhance banks’ risk management infrastructure, the Basel Committee on Banking Supervision (BCBS) released a set of Principles for Effective Risk Data Aggregation & Risk Reporting in January 2013. Dennison was first to speak on the evening of September 19, 2013 at the Toronto chapter meeting of the Global Association of Risk Professionals (GARP). It was convened at First Canadian Place to allow […]
Graph Analytics: A New Approach to Risk Management
According to the World Economic Forum, “personal data is becoming a new economic asset class, a valuable resource for the 21st century that will touch all aspects of society.” The New York Times likens big data to a resource like crude oil. What, then will extract the useful component from the raw data? What reaction vessel will synthesize new things from the raw data? Cray, the supercomputer company, has a spin-off data manipulation company, Yarcdata, that specializes in graph analytics. Graph analytics refers to models of complex networks of data in a graphical representation of nodes and edges. “Analysis of […]
Quant Chalkboard: Data, Models & Concepts
“People are more likely to believe something that comes as data,” said Joe Pimbley, Principal, Maxwell Consulting, “but you shouldn’t necessarily believe the data.” Pimbley, a lead investigator for the examiner appointed by the Lehman Brothers bankruptcy court, addressed financial risk management professionals at a GARP webinar on August 6, 2013. [Ed. Note Click here to read Joe Pimbley – “Why Lehman Brothers Failed When It Did” on Stories.Finance.] Pimbley said that model builders must always look at data with the eyes of a skeptic. With a PhD in physics he is conversant with models devised to predict the “real world” and […]