Bayesian lessons for payout structuring

Bayesian lessons for payout structuring

In the past few decades, the world of financial derivatives has experienced an explosion in the development of quantitative methods. Remarkably, very little of that development went into supporting the process of product innovation and structuring – the cornerstone of every derivatives business. Compared with modelling, which continues to attract most quantitative effort, product innovation remains essentially a form of art.

Click on the link below to read the full version of this article.

Bayes

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 Risk.net 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: