Extreme Risk, excess return and leverage: the LP formula
Olivier Le Marois (),
Julia Mikhalevsky () and
Raphael Douady ()
Additional contact information
Olivier Le Marois: fluks - FLUKS
Julia Mikhalevsky: FEDERIS Gestion d'Actifs - Federis Gestion d'Actifs
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL
Abstract:
The LP formula is based upon the substitution of the exogenous risk aversion hypothesis by a credit equilibrium hypothesis. This leads to a trade-off between expected blue-sky return – the expected return excluding default scenarios – and extreme risk estimated from scenarios leading to default. An empirical study on the past 90 years shows that this trade-off curve is almost identical across asset classes. In equilibrium, an asset expected blue-sky return is proportional to its contribution to extreme risk. Assuming normal returns, we obtain CAPM as a sub-case of the LP relation. This relationship makes extreme risk underestimation a strong driver of asset price bubbles.
Keywords: asset allocation; extreme risk; CAPM; risk budgeting; equilibrium (search for similar items in EconPapers)
Date: 2014-12
New Economics Papers: this item is included in nep-fmk and nep-rmg
Note: View the original document on HAL open archive server: https://hal.science/hal-01151376
References: View references in EconPapers View complete reference list from CitEc
Citations:
Published in 2014
Downloads: (external link)
https://hal.science/hal-01151376/document (application/pdf)
Related works:
Working Paper: Extreme Risk, excess return and leverage: the LP formula (2014) 
Working Paper: Extreme Risk, excess return and leverage: the LP formula (2014) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:cesptp:hal-01151376
Access Statistics for this paper
More papers in Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) from HAL
Bibliographic data for series maintained by CCSD ().