Numerix: Mastering Model Risk: Assessment, Regulation And Best Practices

Robust quantitative models have been an essential component of risk management and analysis for decades, but have dramatically increased in sophistication and complexity over the last few years. Rapidly changing market dynamics and increased regulations demand
robust financial models that address a broad range of evolving risks.

Recent high-profile model failures have emphasized the importance of modeling practices that employ stringent implementation, validation and review techniques to

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact [email protected] or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact [email protected] to find out more.

To continue reading...

You need to sign in to use this feature. If you don’t have a RiskTech Forum account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: