Time Series & Forecasting Symposium (TSF2019), Sydney - external event

  • 12 Nov 2019
  • 9:00 AM
  • 13 Nov 2019
  • 5:00 PM
  • Sydney

The Time Series & Forecasting Symposium 2019 (TSF2019) is an annual research event of the Time Series and Forecasting Research Group, the University of Sydney Business School. This symposium aims to promote time series analysis and forecasting in business and other areas. We welcome oral and poster presentations in all areas related to time series and forecasting, and especially encourage contributions in the main themes:  time series econometrics, volatility modelling and risk forecasting, risk assessment and management, high-dimensional modelling and forecasting, computational methods, robust inferences and deep learning. Registration will open soon! 

Dates: Monday, 11 November 2019 & Tuesday, 12 November 2019

Time:   9:00am – 5:00pm (Morning tea, lunch and afternoon tea are provided)

Venue:  ABS Case Study Lecture Theatre 2080 and 2090, Level 2, Business School Abercrombie Building (H70), The University of Sydney Business School

               Map: Google search “The University of Sydney Business School”

International keynote speaker: Prof Morten Nielson, Queen’s University, Canada (Please see symposium website for title and abstract)

Plenary speaker: A/Prof Tomohiro Ando, University of Melbourne, Australia (Please see symposium website for title and abstract)

Registration Fee:  A$110 (incl. GST) for academic and industry participants and A$55 (incl. GST) for full-time students. All registrations include morning tea, lunch and afternoon tea 

Registration webpage: https://sydney.edu.au/business/our-research/research-groups/time-series-and-forecasting/symposium.html

Abstract submission: Please send to tsf.symposium@sydney.edu.au by email before 15 October 2019

Enquiries: tsf.symposium@sydney.edu.au or boris.choy@sydney.edu.au

Local Organising Committee: Boris Choy and Chao Wang (Co-Chairs), Richard Gerlach, Ye Lu and Jianxin Wang 

 


Powered by Wild Apricot Membership Software