The eighth annual Conference on High Frequency Finance and Analytics (HF2019) will take place between June 27 and 29, 2019, at Stevens Institute of Technology, in Hoboken, NJ. HF2019 will focus on sharing the latest research and model applications for data sampled with high frequency. This year we are encouraging submissions detailing applications of Statistical Learning algorithms to Finance particularly to High Frequency data. 

This three-day conference gathers key thought leaders from academia, industry and government from across the globe in the areas of mathematical finance, financial engineering, quantitative finance, stochastic processes and applications, and more. The conference includes showcases of student and faculty research; networking opportunities; and social events, including a Battle of the Bands.

Limited slots are available for contributed talks as well as for graduate student talks and posters. Please follow the instructions below to register for the conference.                                                                            

-> Registration for HF2019 Conference

Special Issue. Through the contributions of many of the past conference participants in 2018 we launched High Frequency, a new journal on applied and theoretical topics involving large data sets sampled with a higher frequency than the norm in the particular domain. This journal goal is to promote mathematical and statistical modeling, empirical studies, computational theory and design to many areas including of course finance, but also astronomy, seismology, various other areas of physics and geosciences, imaging applications such as in neuroscience, and more. We refer to the editorial published in the first issue for more details of the journal. 

The intent is for the journal High Frequency to be a focal point around which the emerging HF community of modelers, quantitative researchers, empirical analysts, and data scientists, may coalesce without regard to disciplinary boundaries.

We are planning a Special Issue centered on High Frequency Finance and Data Analytics related to the conference. 

->Details of Special Issue on High Frequency Finance