Information geometry of risks and returns
An innovative product design framework and its geometric interpretation is introduced
CLICK HERE TO DOWNLOAD THE PDF
Andrei Soklakov reveals a geometric structure underlying both hedging and investment products. This structure follows from a simple formula expressing investment risks in terms of returns, which informs optimal product design. Optimal pure hedging (including cost-optimal products) and hybrid hedging (where a partial hedge is built into an optimal investment product)
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 print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@risk.net
More on Cutting Edge
Reconciling P- and Q-calibration with path-dependent volatility
A mixed approach designed to improve calibration robustness is presented
Podcast: Alexander Barzykin on modelling FX market-making
HSBC quant discusses adverse selection, price reading and internal liquidity management
Optimal quoting under adverse selection and price reading
A market-making model is introduced to account for significant real-world effects
Burnett and Piau on their comprehensive framework for XVAs
Barclays quants explain the bank’s approach to a long-standing problem
The fundamental representation of pricing adjustments
A unified representation of derivative pricing adjustments is presented
Tailoring tails within the mixture model framework
Introducing a data generator mixing Gaussian and Student-t distributions to capture fat tails
Differential machine learning with a difference
A technique to improve approximations for pricing derivatives with discontinuous payoffs is introduced
Podcast: Lipton and Lopez de Prado on a quant approach to private equity
The pair introduce analytical methods to valuing and allocating private asset investments