Page 86 - Special Topic Session (STS) - Volume 3
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STS517 Andreas Basse-O’Connor
                  more complex phenomena, which are not captured by ordinarily Ornstein–
                  Uhlenbeck processes. That is, we consider a process  given by




                  where    ∈  ℕ,      for    =  1, . . . ,   are  independent  α-stable  Ornstein–
                                    
                  Uhlenbeck processes with parameters   >  0, and   ≥  0 for   =  1, . . . ,  are
                                                         
                                                                     
                  positive numbers satisfying  + ··· +   =  1. Generalizing this idea we arrive
                                                       
                                              1
                  at  the  definition  of  superposition  of  Ornstein–Uhlenbeck  processes  (cf.
                  Barndorff-Nielsen (2000)):
                  Definition 1.1. Let  denote a probability measure on ℝ+ and α ∈ (0,2]. Then
                   is called an α-stable superposition of Ornstein–Uhlenbeck (supOU) process
                  if it has a representation of the form




                  where Λ is a symmetric α-stable random measure on ℝ with control measure
                                                                       2
                  ().
                      We note that the supOU process , given in (1.4), is well-defined if and
                          1
                  only  if ∫  () < ∞,  cf.  Fasen  and  Klüppelberg  (2007,  page  343).  The
                             −1
                          0
                  ordinary Ornstein– Uhlenbeck process (1.2) corresponds to m = δλ, and the
                  more general case (1.3) corresponds to  = ∑     . Throughout the paper
                                                                    
                                                               =1
                    denotes the Dirac measure at   ∈  ℝ given by  () =  (), and ℝ : =
                   
                                                                                         +
                                                                    
                                                                              
                  (0, ∞). An α-stable supOU process is a stationary α-stable process, however, it
                  is neither Markovian nor semi martingale in general, opposite to ordinary OU
                  processes.  Moreover,  supOU  processes  provide  a  flexible  framework  for
                  modelling long-range dependence, let e.g.  be the (, 1)-law where   ∈
                  (0,1), cf.  Barndorff-Nielsen  (2000,  Example  3.1),  which  is  also  opposite  to
                  ordinary OU processes. In the next section we will prove the main result of the
                  paper (Theorem 3.1), which says that if  has finite  − ℎ moment for some
                    >  0 and   ∈ (1,2), then the  α-stable  supOU process has càdlàg  sample
                  paths.

                  2.  Methodology
                      To show that an α-stable supOU process X, given in Definition 1.1, has
                  càdlàg sample paths we decompose it as

                                 () =   () +  (),             (2.1)
                  where




                  Our  treatment  of  the  two  processes    and    in  (2.1)  requires  different
                  techniques. In particularly, under a moment condition on m, we will show, in


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