Modelling
Best data management service provider; Best actuarial modelling software: Sungard
Double award for Sungard with further enhancements to Prophet
Best catastrophe modelling software: Aon Benfield
Aon brings philosophy of openness to catastrophe models
Best risk engine: UBS Delta
Clean data and consistency put UBS Delta in lead
Best Solvency II software package; Best economic scenario generator: Moody’s Analytics
Clients say breadth of coverage a winning formula
CCAR leaves modelling teams short of time and staff
Fed stress tests are a "perfect storm of pressure"
Why multi-asset investing calls for 3G factor models
Factor models can be helpful in identifying unseen risks in investor portfolios
EU 'five-year delay' to Basel op risk modelling axe
Scrapping op risk modelling in Europe could take five years, say lawyers
Modelling the financial risks of wind generation with Weibull
The manner in which wind generation can affect the half-hourly APX price is discussed
Adios AMA: Basel proposal to bin op risk models worries banks
Firms doubtful about risk sensitivity of standardised replacement charge
Reining in capital models is bad for risk management
AMA's likely demise is latest sign of worrying trend in bank capital rules
Quant ideas: Strategic versus tactical risk management
The susceptibility of enterprise risk tools to poor quality data is a major issue
Disruptive technology could leave regulators behind – Stanworth
Focus on historical data is out of step with speed of change, says head of L&G Capital
Loss given default modeling: an application to data from a Polish bank
This paper compares two methods of estimating LGD: a beta regression model and a multinomial logit (MNL) model.
Veolia: taking XVAs by the horns
Veolia's Damien Vancraeyneste, on capping costs and challenging banks’ calculations
Maximising refinery profits using portfolio optimisation
Making the right decisions requires an enterprise-wide view of risk, authors argue
Presentation is key to making most of insurance models
Management depends on clear information to harness full value, say specialists
A robust set-valued scenario approach for handling modeling risk in portfolio optimization
By introducing the set-valued scenario, this paper proposes a unified robust portfolio selection approach under downside risk measures.
New trading book QIS tackles correlation gripes
Changes proposed for correlation, exotic derivatives and hard-to-model risks
Creating effective revenue forecast models for CCAR using machine intelligence
Sponsored webinar: Ayasdi
Commodity value-at-risk modeling: comparing RiskMetrics, historic simulation and quantile regression
The authors of this paper investigate the risk modeling of commodities. They note that return distributions differ widely across different commodities, both in terms of tail fatness and skewness.
The global network of payment flows
This paper considers a network of cross-border SWIFT message flows where nodes are the countries in which the sending and receiving banks are domiciled. The authors analyze how the payment flows reflect or predict various aspects of the real economies.
Quant ideas: Do we need realistic models?
Realistic models not necessarily a prerequisite for successful risk management
Practitioners must take risk measures with a pinch of salt
Buffett's warning on perils of volatility is well justified, argues Kaminski