Component VAR for a non-normal world
It has become standard to account for non-normality when estimating portfolio value-at-risk, but there are few methods available to calculate the risk contributions of each component in a non-normal portfolio. Brian Peterson and Kris Boudt present a method for decomposing the VAR of a non-normal portfolio into the component risks of each position in a coherent and computationally convenient fashion. This work allows the decomposition of VAR in portfolios of a few to thousands of assets
Value-at-risk is the most widely used downside risk measure in finance. Garman (1997) introduced the concept of component VAR and showed that for portfolio VAR calculated under the assumption of normality, it is possible to decompose the portfolio risk into the risks introduced by each component of the portfolio. The finance literature on portfolio downside risk has recently realised that it is desirable that estimators of VAR can be decomposed in a financially meaningful way into the risk
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 Market risk
Market risk solutions 2023: market and vendor landscape
A Chartis Research report that examines the structural shifts in enterprise risk systems and the impact of regulations, as well as the available technology.
The new rules of market risk management
Amid 2020’s Covid-19-related market turmoil – with volatility and value-at-risk (VAR) measures soaring – some of the world’s largest investment banks took advantage of the extraordinary conditions to notch up record trading revenues. In a recent Risk.net…
ETF strategies to manage market volatility
Money managers and institutional investors are re-evaluating investment strategies in the face of rapidly shifting market conditions. Consequently, selective genres of exchange-traded funds (ETFs) are seeing robust growth in assets. Hong Kong Exchanges…
FRTB spurs data mining push at StanChart
Bank building “single golden source” of trade data in a bid to lower NMRF burden
Asian privacy laws obstruct FRTB data pooling efforts
Bank scepticism and regulatory hurdles likely to inhibit cross-border information sharing
Seizing the opportunity of transformational change
Sponsored Q&A: CompatibL, Murex and Numerix
Doubts grow over US FRTB implementation
Fragmented roll-out would price European banks “out of the market”
Basel group shake-up has banks hoping for FRTB changes
Barger and Durand replaced by BoE's Nesbitt; banks want fresh look at P&L test
