From - Fri May 11 09:49:50 2001 Received: from maths.lth.se (matcent28 [130.235.3.108]) by maths.lth.se (8.9.1b+Sun/8.9.1) with ESMTP id IAA19289 for ; Fri, 11 May 2001 08:05:30 +0200 (MET DST) Message-ID: <3AFB8127.2F06791E@maths.lth.se> Date: Fri, 11 May 2001 08:05:27 +0200 From: Aurelia Vogel X-Mailer: Mozilla 4.76 [en] (Win98; U) X-Accept-Language: en MIME-Version: 1.0 To: asmus@maths.lth.se Subject: Seminarium =?iso-8859-1?Q?p=E5?= fredagen Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: 8bit X-Mozilla-Status: 8001 X-Mozilla-Status2: 00000000 X-UIDL: 6fe1aeb178233c9fdf87c29430593d94 Seminarium i matematisk statistik fredagen 11 maj 13.15 i MH227 Thomas Mikosch, Köpenhamn Modeling dependence and fat tails in financial data Abstract Return time series of share prices, stock indices, FX rates, etc. have in common that they are extremely heavy-tailed (when considered as realizations of stationary sequences). Moreover, the extremes of such sequences tend to occur in clusters (clustering of volatility, dependence in the tails). We consider the theoretical properties of some standard models (GARCH, stochastic volatility models) and check whether the empirically observed facts can be explained by these models.