 |
Taking ERM Beyond Rating Agency Requirements »
According to a survey conducted earlier this year by Stamford, CT, consultants Towers Perrin, 32 percent of life insurance CFOs consider identifying and quantifying risk across the organization as a primary purpose of ERM tools.
|
|
SAS Increases Standing in FinTech 100 »
Given the global economic crisis and the preceding poor decisions, it’s no surprise that technology firms like SAS are quickly rising through FinTech 100 rankings. Technology tools on the rise improve analytics, decision-making and risk management.
|
|
Credit risk management sunk by crisis? »
In this ABA Banking Journal article, experts suggested that risk management models alone were inadequate for predicting outcomes given the circumstances of 2008. David Rogers, Global Product Marketing Manager for SAS, says that the present financial crisis placed the relatively young discipline under intense scrutiny, both in terms of risk-based decision models and systems deployed to measure and track risks. “It’s important to continue developing the discipline to aid navigation through the current extreme financial market conditions,” said Rogers. “Ultimately, it should evolve to provide a more forward-looking approach in both normal and extreme conditions.”
|
|
How Banks Are Detecting Credit Fraud »
Lindsay Clark, reporter at Computerweekly.com, says guns are outmoded methods for robbing banks. In her article, she discusses innovative analytical technology that financial institutions are using to detect and counter the new age of masked marauders. Bart Patrick, head of risk at SAS, says that previously, only about 25 percent of checks could be scrutinized for fraud, but the new mathematical model employed by SAS examines 100 percent of transactions.
|
|
|
|
Ensure That Your AML Efforts Satisfy Regulators »
Evolving regulatory expectations frequently exceed regulatory demands. Nancy Feig from Bank Systems & Technology says that the most critical factor to a successful AML program is a risk-based approach.
|
|
Actuarial Modelling of Claim Counts »
Actuarial Modelling of Claim Counts presents a comprehensive treatment of the various experience rating systems and their relationships with risk classification. The authors summarize the most recent developments in the field, presenting ratemaking systems, while taking into account exogenous information.
|
|
