The discretionary buy side world is currently undergoing a massive shift away from simply leveraging beta towards having to generate consistent idiosyncratic alpha. In order to achieve results in this new reality, the smartest firms are attempting to put in place a process to become more quantitative in their decision making and use new unique alpha generating data sets.
At the same time, an arms race is taking place within the systematic world where firms are searching for uncorrelated sources of alpha in new data sets, and employing new quantitative analysis techniques to find it.
L2Q is a conference designed to explore both of these important trends. The main track is focused on teaching discretionary PMs, analysts, and traders the basics of quantitative research so that they can collaborate with the quants on their desk. Quants who work alongside with them will also benefit from the main track as we explore the best ways to run the difficult process of melding fundamental analysis and quantitative decision making. The second track features topics in advanced quantitative analysis and use cases for new unique data sets within both fully systematic models and discretionary books.
Segments are taught by preeminent buy side, sell side, and unique data experts with vast quantitative and discretionary investment experience at Two Sigma, PDT PArtners, Wolfe Research, Deutsche Bank, WorldQuant, and others.
Estimize is an open financial estimates platform which facilitates the crowdsourcing of fundamental estimates from professionals (buy-side, independent, and sell-side analysts) as well as non-professionals (private investors, students, academics.) By sourcing estimates from a diverse community of individuals, Estimize provides both a more representative consensus and one that is more accurate than the sell-side 74% of the time. Currently, nearly 62,000 analysts contribute to Estimize, resulting in coverage on over 2,100 stocks each quarter.