According to Credit Suisse’s Gender 3000 report, at the end of 2013, women accounted for 12.9% of top management in 3000 companies across 40 countries. Additionally, since 2009, companies with women comprising 25-50% of their management team returned 22-29% more than those without women.
Karen Rubin has spent the last nine months exploring this question. In doing so, she developed an investment algorithm that invests in the women-led companies of the Fortune 1000. Based on a simulation run from 2002-2014, this investment algorithm would have returned 340%, or 217% more than the S&P500.
In this talk, Karen will walk through the process she went through to develop and validate the strategy. She will cover how the algorithm decides to buy and sell stock, how the backtest works, and how she has validated the results of the simulation.
Karen Rubin has spent the past 10 years building products and managing product development teams. She is currently on the product team at Quantopian, building the world’s first algorithmic trading platform in the cloud. She is currently focused on a new IPython research platform that will allow quants to access curated financial data in an interactive research environment.
Before coming to Quantopian, Karen spent time working on the investing team at Matrix Partners, where she helped evaluate potential investments and supported portfolio companies. She also spent five years on the product team at HubSpot, where she was responsible for building the first version of many of their inbound marketing tools. Prior to HubSpot, she spent five years managing content publishing development projects for clients such as NBC, iVillage.com, TheStreet.com, Stockpickr.com, and GiftCertificates.com.
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