NEW YORK--(BUSINESS WIRE)--OptionMetrics, an options database and analytics provider for international institutional investors and academic researchers, will host its 8th Annual OptionMetrics Research Conference (ORC2019) on Monday, October 28, at Fordham University, Lincoln Center Campus, New York City. Submissions to present papers or case studies that include OptionMetrics IvyDB data are due Tuesday, September 10. Tickets for ORC2019 can be purchased online.
ORC2019 will assemble OptionMetrics clients and researchers from the buy-side and sell-side, as well as academia, to present and discuss their work. Original research papers and case studies that incorporate OptionMetrics data are welcomed for submission. Major areas of interest include, but are not limited to:
- Portfolio derivative strategy
- Alternative risk premia
- Empirical option research
- Option market micro-structure
- Volatility outlook
- Machine learning in volatility investing
Those interested in presenting papers can submit a 100-300 word abstract here. Authors of selected papers will be asked to submit a full version of their paper no later than October 14, 2019.
“Each year we are thrilled to see the quality research and fascinating case studies submitted to present at ORC,” says OptionMetrics CEO David Hait, Ph.D. “From the role of machine learning in volatility investing, to best practices for options data in derivative investing, to option market micro-structure strategies, to empirical option research—it’s exciting to hear how our historic options data and analytics are used daily to successfully analyze so many vast aspects of the markets around the world.”
OptionMetrics, now celebrating its 20th year providing high-quality options databases and analytics, currently distributes its IvyDB historical options databases for U.S., Canada, Europe, Asia, Canada, and global indices to corporate and institutional subscribers, as well as top business schools worldwide. It has covered every U.S. strike and expiration option on over 6,000 underlying stocks and indices since 1996. Leading portfolio managers, equity options traders, and quantitative researchers rely on OptionMetrics for extensive, high-quality data to construct and test options investment strategies, perform empirical research, and accurately assess risk. www.optionmetrics.com, LinkedIn, Twitter, Facebook.