Institutional investors are starting to wield the upper hand when it comes to fee negotiations with hedge funds, according to a Towers Watson research paper.
The traditional 'two plus 20' model (2 per cent of total assets under management, plus 20 per cent of the outperformance) is coming under pressure from investors with large allocations and long-term investment horizons, according to the report.
Towers Watson senior investment consultant Ross Barry said a more equitable management fee would be aligned with the operating costs of the firm, rather than a percentage of assets under management.
Fee structures based on assets under management have contributed to a misalignment of interests between investors and hedge funds in the past, he added.
"Managers share profits, but there is no mechanism for them to share losses so there is an incentive to take excessive risk rather than targeting high long-term returns," Barry said.
He recommended fee structures that contain 'hurdles' (ie, where the manager will not charge a performance fee until the performance exceeds a predetermined target).
'High watermarks' (which can effectively limit the fees payable) and clawback provisions in the event of drawdowns may also be appropriate, Barry said.
Institutional investors can also take advantage of their long-term time horizon to trade-off some amount of liquidity in return for lower fees, Barry said.
Ultimately, the most equitable arrangement would be for one-third of outperformance to go to the manager and the rest to go to the investor, according to Towers Watson.
Infrastructure well-positioned to hedge against global uncertainty, says investment chief.
The fund manager remains positive on the outlook for gold and believes ongoing market volatility will provide opportunities to acquire small-cap stocks in promising sectors.
T. Rowe Price Group VP said investment strategies must adapt to an ageing population, as Australians outlive their retirement savings.
The international asset manager expects AI will reach a point in the near future where it can autonomously manage investments within certain parameters set by fund managers.