scholarly journals Shortfall Risk Minimization in Discrete Time Financial Market Models

2014 ◽  
Vol 5 (1) ◽  
pp. 384-414 ◽  
Author(s):  
N. Frikha
2021 ◽  
Vol 58 (1) ◽  
pp. 197-216 ◽  
Author(s):  
Jörn Sass ◽  
Dorothee Westphal ◽  
Ralf Wunderlich

AbstractThis paper investigates a financial market where stock returns depend on an unobservable Gaussian mean reverting drift process. Information on the drift is obtained from returns and randomly arriving discrete-time expert opinions. Drift estimates are based on Kalman filter techniques. We study the asymptotic behavior of the filter for high-frequency experts with variances that grow linearly with the arrival intensity. The derived limit theorems state that the information provided by discrete-time expert opinions is asymptotically the same as that from observing a certain diffusion process. These diffusion approximations are extremely helpful for deriving simplified approximate solutions of utility maximization problems.


2012 ◽  
Vol 49 (3) ◽  
pp. 838-849 ◽  
Author(s):  
Oscar López ◽  
Nikita Ratanov

In this paper we propose a class of financial market models which are based on telegraph processes with alternating tendencies and jumps. It is assumed that the jumps have random sizes and that they occur when the tendencies are switching. These models are typically incomplete, but the set of equivalent martingale measures can be described in detail. We provide additional suggestions which permit arbitrage-free option prices as well as hedging strategies to be obtained.


Author(s):  
NEIL F. JOHNSON ◽  
PAUL JEFFERIES ◽  
PAK MING HUI

2008 ◽  
Vol 32 (7) ◽  
pp. 1363-1378 ◽  
Author(s):  
Young Shin Kim ◽  
Svetlozar T. Rachev ◽  
Michele Leonardo Bianchi ◽  
Frank J. Fabozzi

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