Predicting and Trading Elections 🗓 🗺

–(IEEE Pennsylvania)- Trading Elections & Securities …

3549 Chestnut St. Philadelphia, Pennsylvania United States 19104 Map


Date:  January 15 2019.
Time: 06:00 PM to 09:00 PM (EDT)
Speaker: Dr. Dan Loeb.

3549 Chestnut St.
Philadelphia, Pennsylvania
United States 19104.

Cost: Free
RSVP: Required.
Event Details & Registration: (URL)

Dan Loeb will share how trading securities intersects with elections and how his work at Susquehanna International Group (SIG) is affected by the decisions made on Election Day. He will discuss SIG most recent experiences with this type of trading during recent elections in the United States and elections abroad including Brexit.


Dr. Daniel (Dan) Loeb: At first my career took a traditional academic route, I earned a Bachelor of Science Degree in Mathematics from Caltech. Professor Richard Wilson introduced me to discrete mathematics which would eventually become my thesis topic at MIT. Meanwhile I added breadth to my mathematical training by taking a number of computer science and economics classes. Caltech studies microeconomics and game theory from a very mathematical approach. In fact I often found the mathematics in my economics courses more challenging than the mathematics in my math courses: maximizing a function of a dozen variables with several constraints, whereas in math after getting past explicit examples in 2 or 3 variables we always went straight to the “general case”.
At MIT, I studied umbral calculus (a branch of combinatorics) under the direction of Prof. Gian-Carlo Rota and received my Ph.D. in 1989. I then taught and continued my research at the University of Bordeaux in France.
In 1996, I was looking to take a sabbatical and return for a while to the United States. A coauthor of mine Walter Stromquist encouraged me to consider non-academic employment, so I applied to Daniel H. Wagner Associates where he was in charge of their Pennsylvnia office.
My first projects at Wagner Associates were redesigned the corporate website (which was a great initial project since it exposed me to the wide variety of mathematical work done at the fine) and to the evaluation of a credit risk model used by BMW based on fuzzy logic.
However, I soon started working in mathematical finance for the Susquehanna International Group for their newly created Statistical Arbitrage Group in their Quantitative Research Department. As this project continued to be successful and grew in size, it took up all of my time and I eventually left Wagner Associates to work fulltime at Susquehanna where I am now responsible for a group of over a half-dozen mathematicians developing proprietary trading strategies with which to invest to the partner’s money.