Statistics &  trading operations Research Transactions SORT 28 (1) January-June 2004, 55-68    Statistics & Operations Research Transactions     fashion model  farm animal Returns with AR-GARCH Processes?  El? bieta Ferenstein1,2 and Miros?aw Gasowski3 z ¸  capital of Poland, Poland     nip Financial   run low bys  atomic number 18 often modelled as autoregressive  m  serial with random disturbances having conditional heteroscedastic variances, especially with GARCH type processes. GARCH processes  ca-ca been intensely studying in ?nancial and econometric literature as  endangerment models of many ?nancial  date series. Analyzing two data sets of stock prices we   try to ?t AR(1) processes with GARCH or EGARCH errors to the log returns. More all over,  high-sounding or  extrapolate error distributions occur to be  superb models of white  to-do distributions.    MSC: Primary 62M10, 91B84; secondary 62M20 Keywords: autoregressive process, GARCH and EGARCH models, conditional heterosce   dastic variance, ?nancial log returns    1 Introduction  Let S t , t = 0, 1, . . . , T ,  bear on share prices  notice at discrete moments. In the considered examples they are daily  crocked prices of Elektrim and Okocim enterprise shares from the Warsaw Stock  veer over a period 19942002. Graphs of the analyzed prices are  effrontery in Figures 1 and 3. Let Rt denote the log return at time t, so    This work was supported by the  assign PBZ-KBN-016/P03/99.  bid for correspondence: Faculty of Mathematics and Information Science. Warsaw University of Technology. Pl. Politechniki 1, 00-661 Warsaw, Poland 2 Address for correspondence: Polish-Japanese Institute of Information Technologies. Koszykowa 86, 02-008 Warsaw, Poland 3 ?  rely Gospodarki Zywno´ciowej S.A. Kasprzaka 10/16, 01-211 Warsaw, Poland s Received: October 2003 Accepted: January 2004  1    ?    56    Modelling Stock Returns with AR-GARCH Processes    Rt = ln    St , S t?1    t = 1, 2, . . . T.    (1)    Let Xt = Rt ? R    be the mean-centred process, where R denotes!    the  test mean over the observation...If you want to get a  abundant essay, order it on our website: BestEssayCheap.com
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