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EUVC

E340 | EUVC | Webinar VC:LP Roundtable on Data Driven Portfolio Modelling

Aug 1, 2024
Joel Larsson, Founding GP of Pale blue dot, Jon Coker from Eka Ventures, Joe Schorge of Isomer Capital, and Anubhav Srivastava, CEO of Tactyc, dive into the nuances of data-driven portfolio modeling. They discuss best practices in portfolio management, the importance of dynamic fund forecasting, and challenges linked to portfolio construction. Topics like portfolio concentration, evaluating companies, and the significance of both qualitative and quantitative metrics are explored, offering valuable insights for navigating the venture capital landscape.
01:33:46

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Quick takeaways

  • Data-driven portfolio management emphasizes continuous assessment and adjustments based on real-time performance and evolving market conditions.
  • Maintaining an updated fund forecast is essential for comparing projected outcomes with actual data to inform strategic investment decisions.

Deep dives

Understanding Data-Driven Portfolio Management

Data-driven portfolio management in venture capital emphasizes the continuous assessment and adjustment of forecasts throughout the life cycle of a fund. Unlike traditional models that often treat portfolio construction as a one-time task, successful firms view it as an ongoing process guided by feedback from real-time performance and evolving market conditions. This approach allows fund managers to stay adaptive, ensuring their strategies align with actual market dynamics rather than outdated assumptions. By maintaining a forward-looking perspective, funds can refine their checks, reserve strategies, and overall investment thesis in light of current data.

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