Mudit Sachdev, Standard & Poor's
Martin Hampel, Standard & Poor's
Standard & Poor’s makes extensive use of quantitative models in many ways, including analyzing market conditions, forecasting stress scenarios, supporting credit analysis, and evaluating pricing for complex debt instruments. One important aspect of ensuring model quality is rigorous ongoing validation, particularly for models that are recalibrated daily. This presentation provides an overview of a framework deployed at S&P that incorporates MATLAB to produce and analyze daily validation reports. The credit default swap–based Market Derived Signals model is introduced briefly, and the corresponding automated framework for daily validation of model output is discussed. Additional reports that allow for time series analysis of model behavior over a specified time period are also considered. We briefly describe a dashboard currently under development that automatically evaluates the validation output and provides a compact display of the information. Finally, we provide an overview of the technical infrastructure that was built to support the engine that drives the validation framework.
Recorded: 23 May 2013
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .Select web site
You can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.