scholarly journals Solving the dual Russian option problem by using change‐of‐measure arguments

2019 ◽  
Vol 2 (2) ◽  
pp. 76-84
Author(s):  
Pavel V. Gapeev

Asian Survey ◽  
1978 ◽  
Vol 18 (7) ◽  
pp. 751-766 ◽  
Author(s):  
John W. Garver
Keyword(s):  


1999 ◽  
Vol 29 (2) ◽  
pp. 197-214 ◽  
Author(s):  
Rudolf Grübel ◽  
Renate Hermesmeier

AbstractNumerical evaluation of compound distributions is one of the central numerical tasks in insurance mathematics. Two widely used techniques are Panjer recursion and transform methods. Many authors have pointed out that aliasing errors imply the need to consider the whole distribution if transform methods are used, a potential drawback especially for heavy-tailed distributions. We investigate the magnitude of aliasing errors and show that this problem can be solved by a suitable change of measure.



2005 ◽  
Vol 9 (2) ◽  
pp. 251-267 ◽  
Author(s):  
Goran Peskir


2021 ◽  
Author(s):  
Injun Hwang ◽  
Baeho Kim


The problem of computing risk measures of life insurance policies is complicated by the fact that two different probability measures, the real-world probability measure along the risk horizon and the risk-neutral one along the remaining time interval, have to be used. This implies that a straightforward application of the Monte Carlo method is not available and the need arises to resort to time consuming nested simulations or to the least squares Monte Carlo approach. We propose to compute common risk measures by using the celebrated binomial model of Cox, Ross, and Rubinstein (1979) (CRR). The main advantage of this approach is that the usual construction of the CRR model is not influenced by the change of measure and a unique lattice can be used along the whole policy duration. Numerical results highlight that the proposed algorithm computes highly accurate values.



2008 ◽  
Vol 45 (01) ◽  
pp. 135-149 ◽  
Author(s):  
B. A. Surya

In this paper we present a robust numerical method to compute the scale function W (q)(x) of a general spectrally negative Lévy process (X, P). The method is based on the Esscher transform of measure Pν under which X is taken and the scale function is determined. This change of measure makes it possible for the scale function to be bounded and, hence, makes numerical computation easy, fast, and stable. Working under the new measure Pν and using the method of Abate and Whitt (1992) and Choudhury, Lucantoni, and Whitt (1994), we give a fast stable numerical algorithm for the computation of W (q)(x).



2017 ◽  
pp. 169-181
Author(s):  
Hanspeter Schmidli
Keyword(s):  


2021 ◽  
Author(s):  
Luca di Persio ◽  
Alessandro Gnoatto ◽  
Marco Patacca




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