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Project C5: Statistical inference for complex dynamical models in Empirical finance

Project leaders

Denis Belomestny

Jeannette Woerner

 

    

 

Abstract

This project develops novel procedures for generalized moving average processes and generalized diffusions of McKean-Vlasov- and Dunkl type. It focuses on instationary and non-linear processes and allows for a complex dependence structure in space and time including long range dependence. Among its goals are parametric and non-parametic estimating procedures for both low and high frequency data which combine methods from stochastic and time series analysis and generalized Fourier techniques.