Name: Learn 2 Quant
From: 20 Jun 2017
To: 20 Jun 2017
Address: The Union League Club
38 East 37 Street
New York, NY 10016, United States
Key speakers: Leigh Drogen, CEO, Estimize Omer Cedar, Co-Founder & CEO, Omega Point Nitish Maini, Vice President of Portfolio Management, WorldQuant Vinesh Jha, CEO, ExtractAlpha Yin Lou, Vice Chairman, Wolfe Research
Pricing: - starting at $ 995
Description: Estimize, an open financial estimates platform which facilitates the crowdsourcing of fundamental estimates from both professionals and non-professionals, and IMN, a premier finance and investment conference organizer, are pleased to announce L2Q: Learn 2 Quant.
The discretionary buy side world is currently undergoing a massive shift away from playing with beta towards having to generate consistent alpha. In order to achieve results in this new reality, the smartest firms are attempting to put in place processes to become more quantitative and use new unique alpha generating data sets. While that all sounds great, the realities of making that shift are stark and progress will be hard fought.
L2Q is a one day seminar designed for discretionary institutional PMs, analysts, and traders who know they need to move quickly and efficiently towards building these processes. Segments will be taught by preeminent buy side, sell side, and unique data experts with vast quantitative investment experience at Two Sigma, PDT Partners, Wolf Research, Deutsche Bank, and others. Attendees will also have access to 15 heavily vetted alternative data vendors in our exhibition hall.
Topics for the day will include:
A basic overview of data science and the skills needed to perform quality quantitative research;
How to become aware of and manage the beta factors you are exposed to;
What are factor models and how to use them in your investment process;
How to prioritize and analyze unique data sets to generate alpha;
How to find and work with new unique data vendors.
Attendees will leave L2Q with a better understanding of:
1. How to collaborate with your team’s ‘quant’ on building an actionable (and understandable) quantitative process.
2. How to find, vet and incorporate new tools and data sets into your decision making process.
3. How to gain further education on the world of quantitative investing.
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