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JumpDiusion Stock Return Models in Finance Stochastic Process Density with UniformJump JumpDiusion Stock Return Models in Finance Stochastic Process Density with UniformJump

JumpDiusion Stock Return Models in Finance Stochastic Process Density with UniformJump - PDF document

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Uploaded On 2014-12-17

JumpDiusion Stock Return Models in Finance Stochastic Process Density with UniformJump - PPT Presentation

Hanson Laboratory for Advanced Computing University of Illinois at Chicago 851 Morgan St MC 249 Chicago IL 606077045 USA hansonmathuicedu and J J Westman Department of Mathematics University of California Box 951555 Los Angeles CA 900951555 USA jwes ID: 25220

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                   FloydB.HansonLaboratoryforAdvancedComputingUniversityofIllinoisatChicago851MorganSt.;M/C249Chicago,IL60607-7045,USAhanson@math.uic.eduJ.J.WestmanDepartmentofMathematicsUniversityofCaliforniaBox951555 "     :   !!  7!*)   ) )         ,  ; ) =(   )   **   )           )     *            (  &6 !      &       (     *  &     *         =.0="       (     )(       "        "    ;%&#                ).  0=&#x-359;&#x.900; &#x-359;&#x.900;#(%        #&#x-359;&#x.900;     &5      *   *  )#)    ! = #&#x-359;&#x.900;     *  &5   )(      !*   "       *    *      !    )     6 ".#0    #$$%%# 5 #&      *   *!   (      )      (      .)(         (         . 0)% )       )       *   )(    )      &     *         .0   *   )Theorem2.1.               .      !   %&9    % 0.1 0.08 0.06 0.04 0.02 0 0.02 0.04 0.06 0.08 0.1 0 50 100 150 200 250 300 (sp)Frequency, f (sp)S&P500 Log Returns, DLog(S) 5 #21       6 "#$$%B%#) # &"# $                  "   #            6            )             D      !&6 6 "* (    D4$9C )D#C8         D) ( E   &1 )(   %&9 ( 2Corollary2.1."&     '      %&/      &%&/    (  -                *   %&% )- (    #   (    &F %&/ -          )(         (                 *      &,&%&/     (     %&4 )D  =  *         )( D         -  &,&%&$                   D )    .#0     .0   #0  D )    .0    *         D#$   %   5    !   )    *   !    &5      )           ) * ))   D ! ( &           (  6 "#$$%%#    =# 5 #)  !           & %%%   )%%#  )D    &     *  &G  *      )  E  %$#4!(  /8! )     ! E  &     ! !      *        )    *!(  ! E  &1 )          E   (  E    &6   .8)0)  (  ,((     * *     * &1)((  ,    .$0 )(bin) ( (  )     ,            ,       -=%%#&+  (         )((  (     * (2Theorem3.1.    *        (     "  "  + "   * '   ! (jdsim)   (jdsim)=H    ! "#  '   *          (    * )(jd)(bin)(jd)  )  -  *    &   4         -      )   *     )(      %&      )    *    *   &    -, -  ,- .C0)*        .8)0)( 4&# &   "  *       .$0     .90&   (  (   **            #9I5   &    (  ,      5 %)(         &           )        & 0.1 0.08 0.06 0.04 0.02 0 0.02 0.04 0.06 0.08 0.1 0 50 100 150 200 250 300 350 GSF JumpDiffusion Theory Fit, f(jdth)Frequency, f(jdth)LogReturns, xi+0.5 0.1 0.08 0.06 0.04 0.02 0 0.02 0.04 0.06 0.08 0.1 0 50 100 150 200 250 300 350 GSF JumpDiffusion Simulation Fit, f(jdsim)Frequency, f(jdsim)LogReturns, xi+0.5 5 %21         )       6 "  #$$%B%#( 5 &#) # &          )(                     & 6    )     (        )             !)#$$%%#  6 "&          * *         .80&  * ( ,( (       ,(    ,  &6  )6 "           &             !   )                     .90   &Acknowledgement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