JSM 2004 - Toronto

JSM Activity #84

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter
FRY = Fairmont Royal York, ICH = InterContinental Hotel, TCC = Metro Toronto Convention Center
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84 Applied Session Theme Session Mon, 8/9/04, 8:30 AM - 10:20 AM TCC-803 B
Statistical Methods in Finance - Contributed - Papers
Business and Economics Statistics Section
Chair(s): Yan Yu, University of Cincinnati
     8:35 AM   Inference for Stochastic Volatility Models with Semi-Markov Regime SwitchingZhaohui Liu, University of Connecticut; Nalini Ravishanker, University of Connecticut
     8:50 AM   MCMC Estimation of Multiscale Stochastic Volatility ModelsGerman Molina, Credit Suisse-First Boston; Chuan-Hsiang Han, University of Minnesota; Jean-Pierre Fouque, North Carolina State University
     9:05 AM   MCMC Estimation of Multifactor Affine Term-Structure ModelsHe Hu, University of California, Los Angeles
     9:20 AM   Statistical Estimation Error and Risk Aversion in Portfolio FormationAndrew F. Siegel, University of Washington
     9:35 AM   Modeling Market Returns with a Speculative BubbleLeonard C. MacLean, Dalhousie University
     9:50 AM   On Examining Asymmetric Behavior of Price Limit MovesPing-Hung Hsieh, Oregon State University; J. Jimmy Yang, Oregon State University
     10:05 AM   Scenario-based Conditional Nonlinear Hedge Fund ModelBernard Lee, Imperial College, London; Youngju Lee, Allianz Hedge Fund Partners
 

JSM 2004 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2004