Webinar

The Importance of Nowcasting: Three Quant Lessons from COVID-19

April 17th, 2020 11:30AM - 12:30 PM EDT

Moderator

  • Marta Lopata

    Chief Growth Officer
    @Thinknum Alternative Data

Speaker

  • Marcos Lopez de Prado

    Professor of Practice
    @Cornell University
    CIO @True Positive Technologies

Many quantitative firms have suffered substantial losses as a result of the COVID-19 selloff, but very few market makers experienced similar impact - as they turned to nowcasting for managing real-time risks.

In this webinar Marcos Lopez de Prado will highlight three lessons that quantitative researchers could learn from this episode based on his latest SSRN paper developed in collaboration with Alexander Lipton - "Three Quant Lessons from COVID-19". Marcos will also share his research on Estimation of Theory-Implied Correlation Matrices introducing applications of knowledge graphs for machine learning (ML).

This webinar is brought to you by Thinknum Alternative Data and is a part of a series of global volatility virtual events featuring thought leaders in finance, machine learning and data.

Our expert Prof. Marcos López de Prado is the CIO of True Positive Technologies (TPT), and Professor of Practice at Cornell University’s School of Engineering. He has over 20 years of experience developing investment strategies with the help of machine learning algorithms and supercomputers. Marcos launched TPT after he sold some of his patents to AQR Capital Management, where he was a principal and AQR’s first head of machine learning. TPT is currently engaged by clients with a combined AUM in excess of $1 trillion. Marcos also founded and led Guggenheim Partners’ Quantitative Investment Strategies business, where he managed up to $13 billion in assets, and delivered an audited risk-adjusted return (information ratio) of 2.3.

Marcos has an Erdős #2 according to the American Mathematical Society, and in 2019, he received the ‘Quant of the Year Award’ from The Journal of Portfolio Management.

Thinknum's insights on the recent real-time economic turndown were featured by CNBC, The New York Times, WSJ and Business Insider.

Read the latest Thinknum Media report to track the drastic decrease in electricity usage in Japan, upswing in remote-work software like Zoom and many other metrics.

Moderator

  • Marta Lopata

    Chief Growth Officer
    @Thinknum Alternative Data

    Marta Lopata

    Chief Growth Officer @Thinknum Alternative Data

    Marta V. Lopata is the Chief Growth Officer at Thinknum Alternative Data and Kgbase - no-code knowledge graph tool. In 2019, Marta has founded External Data Conference - the world’s first annual conference bringing together leading minds in finance, business, media, government and sustainability to discuss the real-world applications for alternative data.

    Marta is also a co-Founder of Thinknum's media outlet which attracted millions readers with its alternative-data focused market insights about leading public and private companies.

    Marta is frequently quoted in the Business Insider, Institutional Investor, TechCrunch and other business publications; and is often a featured panelist at major market-related conferences.

    Marta speaks 4 languages (Chinese, French, Polish and English) and before immigrating to the US, she led product & growth teams in digital fabrication and sustainable materials in China and France.

Speaker

  • Marcos Lopez de Prado

    Professor of Practice
    @Cornell University
    CIO @True Positive Technologies

    Marcos Lopez de Prado

    Professor of Practice @Cornell University
    CIO @True Positive Technologies

    Prof. Marcos López de Prado is the CIO of True Positive Technologies (TPT), and Professor of Practice at Cornell University’s School of Engineering. He has over 20 years of experience developing investment strategies with the help of machine learning algorithms and supercomputers. Marcos launched TPT after he sold some of his patents to AQR Capital Management, where he was a principal and AQR’s first head of machine learning. TPT is currently engaged by clients with a combined AUM in excess of $1 trillion. Marcos also founded and led Guggenheim Partners’ Quantitative Investment Strategies business, where he managed up to $13 billion in assets, and delivered an audited risk-adjusted return (information ratio) of 2.3.

    Concurrently with the management of investments, since 2011 Marcos has been a research fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy, Office of Science). He has published dozens of scientific articles on machine learning and supercomputing in the leading academic journals, is a founding co-editor of The Journal of Financial Data Science, has testified before the U.S. Congress on AI policy, and SSRN ranks him as the most-read author in economics. Marcos is the author of several graduate textbooks, including Advances in Financial Machine Learning (Wiley, 2018) and Machine Learning for Asset Managers (Cambridge University Press, 2020).

    Marcos earned a PhD in financial economics (2003), a second PhD in mathematical finance (2011) from Universidad Complutense de Madrid, and is a recipient of Spain's National Award for Academic Excellence (1999). He completed his post-doctoral research at Harvard University and Cornell University, where he is a faculty member. Marcos has an Erdős #2 according to the American Mathematical Society, and in 2019, he received the ‘Quant of the Year Award’ from The Journal of Portfolio Management.

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