• Joseph Simonian on Model Validation in Finance

  • Jun 21 2024
  • Length: 54 mins
  • Podcast

Joseph Simonian on Model Validation in Finance

  • Summary

  • In this episode, host Lotta Moberg is joined by Joseph Simonian to discuss the importance of understanding the field of model validation and how it applies to the financial industry.

    His published work on the topic can be found here: https://rpc.cfainstitute.org/en/research/foundation/2024/investment-model-validation

    Joseph Simonian is a globally renowned investor and researcher who has
    conducted extensive research in quantitative finance, machine learning, factor
    investing, and portfolio construction. Over the course of a 20-year career in the
    investment industry, he has held senior portfolio management and research
    positions in several prominent asset management firms. He is also the founder
    and CIO of Autonomous Investment Technologies.

    Simonian is a noted contributor to leading finance journals and a prominent
    speaker at investment events worldwide. He is co-editor of the Journal of
    Financial Data Science, is on the editorial board of the Journal of Portfolio
    Management, chairman of the board of directors of the Financial Data
    Professional Institute, and a member of the CFA Institute Research and Policy
    Center Technical Commitee. Simonian has authored over 40 publications in
    leading investment journals. He is co-author of the book Quantitative Global
    Bond Portfolio Management and author of Computational Global Macro, slated
    for release in 2024.

    Financial Thought Exchange is the official podcast and video channel of the CFA Institute Research Foundation. If you would like to support the show and our work, please donate here: https://rpc.cfainstitute.org/en/research-foundation/donate

    Show More Show Less
activate_Holiday_promo_in_buybox_DT_T2

What listeners say about Joseph Simonian on Model Validation in Finance

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.