Quadratic Hedging Methods for Defaultable Claims

2007 ◽  
Vol 56 (3) ◽  
pp. 425-443 ◽  
Author(s):  
Francesca Biagini ◽  
Alessandra Cretarola
Keyword(s):  
2014 ◽  
Vol 42 ◽  
pp. 13-32 ◽  
Author(s):  
Alexandru Badescu ◽  
Robert J. Elliott ◽  
Juan-Pablo Ortega

2007 ◽  
Vol 10 (05) ◽  
pp. 873-885 ◽  
Author(s):  
FRIEDRICH HUBALEK ◽  
CARLO SGARRA

In the present paper we give some preliminary results for option pricing and hedging in the framework of the Bates model based on quadratic risk minimization. We provide an explicit expression of the mean-variance hedging strategy in the martingale case and study the Minimal Martingale measure in the general case.


2015 ◽  
Vol 8 (1) ◽  
pp. 83-102 ◽  
Author(s):  
Hardy Hulley ◽  
Thomas McWalter
Keyword(s):  

Author(s):  
Maciej Augustyniak ◽  
Frrddric Godin ◽  
Clarence Simard
Keyword(s):  

2015 ◽  
Vol 2015 ◽  
pp. 1-21 ◽  
Author(s):  
Daniel Bonetti ◽  
Dorival Leão ◽  
Alberto Ohashi ◽  
Vinícius Siqueira

We propose a feasible and constructive methodology which allows us to compute pure hedging strategies with respect to arbitrary square-integrable claims in incomplete markets. In contrast to previous works based on PDE and BSDE methods, the main merit of our approach is the flexibility of quadratic hedging in full generality without a priori smoothness assumptions on the payoff. In particular, the methodology can be applied to multidimensional quadratic hedging-type strategies for fully path-dependent options with stochastic volatility and discontinuous payoffs. In order to demonstrate that our methodology is indeed applicable, we provide a Monte Carlo study on generalized Föllmer-Schweizer decompositions, locally risk minimizing, and mean variance hedging strategies for vanilla and path-dependent options written on local volatility and stochastic volatility models.


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