Unpublished conference/Abstract (Scientific congresses and symposiums)
Risk Horizon and Equilibrium Asset Prices
Hübner, Georges; Lejeune, Thomas
201225th Australasian Finance and Banking Conference
 

Files


Full Text
HubnerLejeune2012DecWP_Risk Horizon and Expected Market Returns.pdf
Author preprint (558.58 kB)
Version décembre 2012
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Disciplines :
Finance
Author, co-author :
Hübner, Georges  ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > Gestion financière
Lejeune, Thomas ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > Gestion financière
Language :
English
Title :
Risk Horizon and Equilibrium Asset Prices
Publication date :
18 December 2012
Event name :
25th Australasian Finance and Banking Conference
Event organizer :
Institute of Global Finance, Australian School of Business, The University of New South Wales
Event place :
Sydney, Australia
Event date :
du 16 décembre 2012 au 18 décembre 2012
Audience :
International
References of the abstract :
The paper proposes an equilibrium asset pricing model that accounts of the incomplete information on returns distribution and investors' preferences. Only moments up to order four of unknown unconditional distribution can be observed, and the model does not impose that portfolio diversi cation or moments preference should hold. Using Chebyshev-type of inequalities, an intuitive risk measure (risk horizon) is introduced with reference to the speed of convergence of a security's mean return to its expectations. By an arbitrage argument, this risk measure is related to the horizon of treasury securities in a system of equations that allows the calibration of the model parameters using term structure information. In particular, the expected return on the market portfolio can be endogenously estimated inside this system. The model calibration on U.S. market data provides plausible parameters estimates and interesting cyclical patterns in the time series of the expected return. The empirical relevance of these estimates is examined with tests of statistical and economic predictive ability for stock excess returns. The results provide signi cant evidence on the added value of the estimates when compared to popular predictors found in the literature (see a.o. Lettau and Ludvigson, 2001; Rapach and Wohar, 2006; Goyal and Welch, 2008).
Available on ORBi :
since 09 January 2013

Statistics


Number of views
81 (13 by ULiège)
Number of downloads
2 (2 by ULiège)

Bibliography


Similar publications



Contact ORBi