Fat tails via utility-based entropy
Asset returns are well known to be fat-tailed, but widely used classical econometric techniques are not well suited for building such distributions. Craig Friedman, Yangyong Zhang and Wenbo Cao use a minimum relative utility-based entropy principle to estimate fat-tailed conditional asset return distributions
Practitioners and researchers concerned with describing and managing risk or discovering trading strategies for alpha-capture often construct and study conditional probabilistic models of the behaviour of asset returns, given the values of various explanatory variables.
Some are interested in the probability distributions of single asset returns in their own right (see, for example, references cited in or Stoyanov et al, 2011). Others (see, for example, Jondeau & Rockinger, 2006) are more
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 Risk management
Backtesting correlated quantities
A technique to decorrelate samples and reach higher discriminatory power is presented
Could Trump presidency herald $27bn margin call on World Bank?
Think-tank’s policy plan to pull US out of multilateral threatens AAA rating, ending collateral exemption
Op risk data: Shady loans robbing Reliance of $1.1bn
Also: H20’s less-than-liquid holdings, Ripple ripped for $125m, and more WhatsApp slaps expected. Data by ORX News
Banks must close the loop on counterparty credit risk
Following a series of market and industry credit risk events, regulatory scrutiny of counterparty credit risk management practices is increasing. Now, more than ever, banks must ensure they are optimising their approaches to credit risk mitigation
Should banks risk lightning hitting twice for CrowdStrike?
Bank tech teams divided on whether to give security vendor a second chance after update crash
Risk management overhauls juggle speed and independence
Some banks say the 1.5 line of defence responds faster to risk, but supervisors are still divided
Risk Technology Awards 2024: AI hopes and holdups
Live AI use-cases are limited, as vendors warn on over-regulation
The post-Archegos risk model rebuild begins… slowly
Following regulatory prodding, banks start to overhaul counterparty risk models. A flurry of new research on the topic may aid the effort