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Guegan, Dominique - HAL - 2008

In this paper we deal with the problem of non-stationarity encountered in a lot of data sets, mainly in financial and economics domains, coming from the presence of multiple seasonnalities, jumps, volatility, distorsion, aggregation, etc. Existence of non-stationarity involves spurious behaviors...

Persistent link: https://www.econbiz.de/10010750362

Pricing bivariate option under GARCH processes with time-varying copula

Zhang, Jing; Guegan, Dominique - HAL - 2008

Heteroskedastic (GARCH) process. As the association between the underlying assets may vary over time, the dynamic copula with time …-varying parameter offers a better alternative to any static model for dependence structure and even to the dynamic copula model … Shanghai and Shenzhen stock composite indexes. Results show that the option prices obtained by the time-varying copula model …

Persistent link: https://www.econbiz.de/10010750766

Extreme values of random or chaotic discretization steps

Garcin, Matthieu; Guegan, Dominique - HAL - 2012

By sorting independent random variables and considering the difference between two consecutive order statistics, we get random variables, called steps or spacings, that are neither independent nor identically distributed. We characterize the probability distribution of the maximum value of these...

Persistent link: https://www.econbiz.de/10010635212

Pricing bivariate option under GARCH processes with time-varying copula

Zhang, Jing; Guegan, Dominique - HAL - 2008

Heteroskedastic (GARCH) process. As the association between the underlying assets may vary over time, the dynamic copula with time …-varying parameter offers a better alternative to any static model for dependence structure and even to the dynamic copula model … Shanghai and Shenzhen Stock Composite Indexes. Results show that the option prices obtained by the time-varying copula model …

Persistent link: https://www.econbiz.de/10010738655