Study suggests banks may be better off with simpler VAR models
Non-parametric VAR models perform well in calm markets, but miss the mark in volatile periods
Non-parametric models that do not rely on normal distributions are all the rage in finance these days – especially among quants experimenting with big data and machine learning techniques. But research published in the Journal of Risk Model Validation suggests banks might want to stick with old-fashioned parametric models for calculating value-at-risk.
University of Warsaw economists Mateusz Buczyński and Marcin Chlebus tested VAR calculations for equity indexes from six countries using a
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
BofA sets its sights on US synthetic risk transfer market
New trading initiative has already notched at least three transactions
Op risk data: At Trafigura, a $1 billion miss in Mongolia
Also: Insurance cartels, Santander settlement and TSB’s “woeful” customer treatment. Data by ORX News
Cyber risk can be modelled like credit risk, says Richmond Fed
US supervisors may begin to use historical datasets to assess risk at banks and system-wide
The changing shape of risk
S&P Global Market Intelligence’s head of credit and risk solutions reveals how firms are adjusting their strategies and capabilities to embrace a more holistic view of risk
To liquidity and beyond: new funding strategies for UK pensions and insurance
Prompted by policy shifts and macro events, pension funds and insurance firms are seeking alternative solutions around funding and liquidity
More cleared repo sponsors join Eurex ahead of cross-margining
End of TLTROs for banks and pension fund search for liquidity management tools drives uptake
Reimagining model risk management: new tools and approaches for a new era
A collaborative report by Chartis and Evalueserve on how the use of automation can combat the growing complexity of managing model risk due to regulation and market volatility
What Goldman’s appeal victory means for Fed stress tests
Decision could embolden more banks to appeal, analysts say. But others believe result is one-off
