Hawkes Process in Finance Conference 2018p

This workshop is aimed to promote and facilitate academic research involving multiple disciplinary areas such as, accounting, finance, economics, financial engineering, information engineering, etc. to improve XBRL based disclosures and facilitate better understanding and utilization of the financial information disclosed using XBRL.

We sincerely invite individuals and organizations with the following areas of interests to join the consortium:

  1. Academics in Accounting and Financial Market Research;
  2. Academics in Statistics, Computer Science and Systems Engineering with Computational Intelligence as Focus;
  3. Financial Investment Firms;
  4. Financial Services Firms;
  5. Financial Regulators


TimeEventSpeaker/Session ChairLocation
09:30 amRegistration - Breakfast Provided ------ Babbio Atrium
10:00 amWelcome SpeechSteve YangBabbio 122
10:05 amKeynote Speech: Big Data or No Data?John CastiBabbio 122
10:35 amPresentation IntroductionSusan YountBabbio 122
10:45 amPresentation: An equity strategist's view of financial information usability, data quality, and XBRLAmit VarshneyBabbio 122
11:15 amPresentation: Little ‘r’ Restatements and Audit QualitySusan YoungBabbio 122
11:45 amNetworking Break - Light Refreshments Provided------Babbio Atrium
12:00 amPresentation: XBRL and Big Data, a Semantic Web and Linked Data PerspectiveXian LiBabbio 122
12:30 amPresentation: XBRL-Enabled Financial Data Analytics Based on Machine Learning TechniquesShujia ZhouBabbio 122
1:00 pmLunch and Keynote SpeechWalter HamscherBabbio Atrium
2:00 pmPanel Session One: Financial Information QualitySuzanne MorsfieldBabbio 122
3:00 pmNetworking Break - Light Refreshments Provided------Babbio Atrium
3:15 pmPanel Session Two: Financial Services and Investment Innovation through XBRLRobert GolanBabbio 122
4:15 pmNetworking Break - Light Refreshments Provided------Babbio Atrium
4:30 pmPanel Session Three: XBRL for RegulationChristine TanBabbio 122
5:30 pmClosing RemarksDinesh VermaBabbio 122

Columbia IEEE Fordham Northrop Grumman Stevens University of Virginia