Optimal Stopping in Fuzzy Stochastic Processes and its Application to Option Pricing in Financial Engineering

Author(s):  
Yuji Yoshida
1972 ◽  
Vol 12 (1) ◽  
pp. 173-179
Author(s):  
V. Mackevičius

The abstracts (in two languages) can be found in the pdf file of the article. Original author name(s) and title in Russian and Lithuanian: В. Мацкявичюс. О некоторых задачах оптимальной остановки устойчивых случайных процессов V. Mackevičius. Apie kai kuriuos stabilių atsitiktinių procesų optimalaus sustabdymo uždavinius


2015 ◽  
Vol 23 (2) ◽  
pp. 183-205
Author(s):  
Young Ho Eom ◽  
Woon Wook Jang

This paper investigates empirically the modelling issues for the stochastic processes underlying KOSPI200 index options. Empirical results show that we need to incorporate two factor stochastic volatility processes to have a good option pricing performance. However, the number of the leverage channel is not an important issue for the modelling of the KOSPI200 index options. Our results also show that the models with finite activity large jumps outperform that with infinite activity small jumps for the financial crisis period. On the while, for the pre-crisis period, there is no clear superiority or inferiority between both jumps models.


1971 ◽  
Vol 11 (3) ◽  
pp. 529-533
Author(s):  
B. Grigelionis

The abstracts (in two languages) can be found in the pdf file of the article. Original author name(s) and title in Russian and Lithuanian: Б. И. Григелионис. К вопросу о достаточных статистиках для задач об оптимальной остановке случайных процессов B. Grigelionis. Pakankamų statistikų atsitiktinių procesų optimalaus sustabdymo uždaviniams klausimu


1983 ◽  
Vol 26 (3) ◽  
pp. 260-266
Author(s):  
M. Longnecker

AbstractLet {Xn} be a sequence of random variables, not necessarily independent or identically distributed, put and Mn =max0≤k≤n|Sk|. Effective bounds on in terms of assumed bounds on , are used to identify conditions under which an extended-valued stopping time τ exists. That is these inequalities are used to guarantee the existence of the stopping time τ such that E(ST/aτ) = supt ∈ T∞ E(|Sτ|/at), where T∞ denotes the class of randomized extended-valued stopping times based on S1, S2, … and {an} is a sequence of constants. Specific applications to stochastic processes of the time series type are considered.


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