Deviation-Based Model Risk Measures

Author(s):  
Mohammed Berkhouch ◽  
Fernanda Maria Müller ◽  
Ghizlane Lakhnati ◽  
Marcelo Brutti Righi
Keyword(s):  
2010 ◽  
Author(s):  
Alexander T. Vazsonyi ◽  
Pan Chen ◽  
Dusty D. Jenkins ◽  
Esra Burcu ◽  
Ginesa Torrente ◽  
...  
Keyword(s):  

2020 ◽  
Vol 23 (02) ◽  
pp. 2050012 ◽  
Author(s):  
VALERIANE JOKHADZE ◽  
WOLFGANG M. SCHMIDT

Risk measurement and pricing of financial positions are based on modeling assumptions, which are common assumptions on the probability distribution of the position’s outcomes. We associate a model with a probability measure and investigate model risk by considering a model space. First, we incorporate model risk into market risk measures by introducing model weighted and superposed market risk measures. Second, we quantify model risk itself and propose axioms for model risk measures. We introduce superposed model risk measures that quantify model risk relative to a reference model, which is the financial institution’s model of choice. Several risk measures that we propose require a probability distribution on the model space, which can be obtained from data by applying Bayesian analysis. Examples and a case study illustrate our approaches.


2014 ◽  
Vol 31 (3) ◽  
pp. 42-50 ◽  
Author(s):  
Michelle McCarthy
Keyword(s):  

2015 ◽  
Vol 17 (3) ◽  
pp. 35-56 ◽  
Author(s):  
Robert Jarrow ◽  
Felipe Bastos G. Silva

2007 ◽  
Vol 9 (2) ◽  
pp. 39-54 ◽  
Author(s):  
Victor de la Pena ◽  
Ricardo Rivera ◽  
Jesus Ruiz-Mata

2006 ◽  
Vol 8 (4) ◽  
pp. 1-32 ◽  
Author(s):  
A Chabaane ◽  
J Laurent ◽  
Y Malevergne ◽  
F Turpin

Sign in / Sign up

Export Citation Format

Share Document