Many institutional investment strategies are evolving to include greater more complex exposures to private assets, aiming to enhance return potential and strengthen long-term portfolio resilience.
Against this backdrop, and with a recognition of how private assets differ from publicly listed ones, investors are adapting their modeling approaches to better support strategic asset allocation decisions.
Join us for this webinar, where consultants Jens Barendsen and Ashish Doshi, representing our Insurance and Global Pension Risk teams, will discuss the role of private assets in institutional portfolios and explore:
- Why it is imperative to model private assets as illiquid and on a cashflow basis, to reflect broader portfolio liquidity risks and align with the strategic asset allocation
- How to approach commitments, capital calls, and distributions over the investment horizon as part of a strategic asset allocation exercise
- The role of dynamic commitment strategies to help facilitate an effective private markets programme
Webinar details
| Date: | Wednesday October 22, 2025 |
| Time: | Session one - 9:30am – 10:00am (CEST) |
| (Two options available) |
Session two – 3:30pm – 4:00pm (CEST) |
Explore additional webinars on private asset investment decisions
Learn how to address private asset challenges across the investment decision-making process in other sessions from our five-part Private Assets in focus: Navigating investment decisions webinar series.
Topics include:
Investing in private assets through a climate change lens
- Understand the key climate considerations of private assets, across both challenges and opportunities
Private asset performance attribution to effectively analyze investment decisions
- Learn how performance measurement and attribution frameworks can be adapted for private assets
Understanding private assets in the institutional investment landscape
- Gain a deeper understanding of the risk/return profile of private assets, as well as key considerations when designing investment strategies
Harnessing scenario-based machine learning (SBML) for private asset investment decisions
- Discover how this innovative approach can be leveraged to optimize diverse portfolios aiming to increase their private asset allocations
Contact
Jens Barendsen
Business Specialist