Institutional investors have been strategically increasing their exposure to private assets over the last few years, seeking to enhance portfolio resilience and return potential through higher expected yields and enhanced risk-adjusted performance.
One interesting consequence of the recent global tariff uncertainty has been that investors have been reconsidering the shape and pace of some of these strategies, particularly in sensitive sectors such as manufacturing.
Given these trends, there is a greater need for institutional investors to have a deeper understanding of the variety and breadth of the risk/return profile of this asset class, and the many unique characteristics one should consider when designing investment strategies.
Join us for this webinar, where Amrit Summan will provide an introduction to private assets in a broader institutional investment context, discussing:
- Why private assets might remain appealing in the current macroeconomic climate and their distinctive characteristics, including liquidity constraints and commitment schedules
- Challenges in measuring, capturing and monitoring private asset valuations, and how they influence investment decision-making
- Approaches to modeling private assets that address data quality limitations and incorporate income and pacing structures
Webinar details
| Date: | Wednesday October 15, 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
Private asset modelling to support strategic asset allocation
- Explore more effective approaches to modelling private asset classes in support of strategic asset allocation (SAA) decisions
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
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