Marcos López de Prado

@lopezdeprado

Fund manager. Professor at Cornell. Quant of the Year 2019 (The Journal of Portfolio Management). Most read Economics author since 2017 (SSRN).

New York, USA
Vrijeme pridruživanja: svibanj 2018.

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  1. Prikvačeni tweet

    I feel truly honored, grateful and humbled by JPM's award. I hope it serves to draw attention to the many applications of financial machine learning.

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  2. proslijedio/la je Tweet
    3. velj

    "A new scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die, and a new generation grows up that is familiar with it." - Max Planck

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  3. 3. velj

    Just received the printer proof for the cover of the Cambridge book. Forthcoming March 2020. It can be pre-ordered through Amazon: I hope you like it!

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  4. proslijedio/la je Tweet
    1. velj

    I have written a new article for the Mathematical Investor blog: “Is AI coming for your job?”. It describes recent developments in machine learning and AI, and discusses the potential impact on employment.

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  5. 29. sij

    Most discoveries in finance are false due to p-hacking. This seminar explains how machine learning methods can overcome the flaws of p-values, and facilitate the discovery of new theories:

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  6. 26. sij

    Did you know that scientists working at U.S. National Laboratories have received 115 Nobel Prizes?: That is approx. 27% of all awards for Physics and Chemistry! Public science has made the modern world, and must be protected.

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  7. 17. sij

    Financial systems are extremely complex, with an overwhelming number of variables and non-linear interaction effects. In this context, correlations are a blunt tool for modeling financial codependence. This seminar introduces more powerful measures:

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  8. 13. sij

    Many problems in finance require the clustering of variables. Despite its usefulness, clustering is almost never taught in Econometrics courses. In this seminar we review two general clustering approaches: partitional and hierarchical.

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  9. 3. sij

    Notably, when making its decisions, the model received less information than human experts did. The human experts had access to patient histories and prior mammograms, while the model only processed the most recent anonymized mammogram with no extra information.

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  10. 3. sij
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  11. 1. sij

    How AI can save our humanity: Happy New Year everyone.

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  13. proslijedio/la je Tweet

    : "It's a Matter of When." How Machines Are Taking Over the World's Stock Markets

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  14. Finance will change dramatically over the next five years. Hundreds of thousands of financial jobs are expected to be automated by 2025. It is important that finance employees are retrained to work alongside algorithms.

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  15. The greatest danger to finance workers is not automation. Their greatest danger is other (likely younger) workers with coding skills. People who can process large amounts of unstructured data, perform high-throughput tasks, and work alongside algorithms.

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  17. The impact of AI on financial jobs:

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  18. Bloomberg's report on my testimony before the U.S. House of Representatives (December 6, 2019):

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  21. I look forward to my testimony to Congress this Friday, where I'll explain how AI is transforming finance, and the impact it will have on America's jobs and competitive advantage. Follow the testimony live here:

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