Modelling cyber losses could get easier – study

Cyber losses behaved much like non-cyber losses when grouped by severity, so perhaps less data is needed

Binary data

Modelling cyber losses might be easier than some practitioners say, an upcoming research paper reveals.

As losses mount from cyber risk, worries about the industry’s ability to model the risk properly have grown apace. Insurers warn of a lack of reliable loss data and even of standard definitions of different types of cyber threats – the latter problem sparking a new project from the US’s Federal Reserve Bank of Richmond.

But after delving into several thousand cyber and non-cyber loss events

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 or view our subscription options here:

You are currently unable to copy this content. Please contact to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to View our subscription options

If you already have an account, please sign in here.


Want to know what’s included in our free registration? Click here

This address will be used to create your account

Calibrating interest rate curves for a new era

Dmitry Pugachevsky, director of research at Quantifi, explores why building an accurate and robust interest rate curve has considerable implications for a broad range of financial operations – from setting benchmark rates to managing risk – and hinges on…

You need to sign in to use this feature. If you don’t have a 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