Skip to main content

Information derivatives

Andrei Soklakov considers the problem of creating derivatives to provide tailored exposure to volatility risk. Information theory leads us to a whole class of such products. This class of 'information derivatives' includes the standard volatility products (for example, variance and gamma swaps) as special cases, which suggests the use of liquidity models as a basis for further refinement of standard volatility derivatives

It has long been recognised that the concept of randomness is essential in describing the evolution of asset prices. Traditionally, the amount of randomness in the returns of financial assets is measured by their volatility. Until recently, volatility was used merely as a descriptive concept - an important theoretical characterisation of a tradable asset. The situation has changed with the arrival

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 info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact info@risk.net 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 Risk.net? View our subscription options

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

Show password
Hide password

Most read articles loading...

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