CalPERS: Why investments in oil and gas groups are also climate solutions
CalPERS explains why some of its climate solution investments include allocations to oil and gas groups.
Ohio STRS warns of higher US recession risk; prioritises liquidity
The State Teachers Retirement System of Ohio has warned of a “material” increase in US recession risk compared to last year as the fund braces for a wider, “negatively skewed” distribution of outcomes in the next 12 months. It came as the mature plan, which is 81 per cent funded, is tilting to fixed income and new asset classes like liquid alternatives over equities.
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CDPQ balances equity gains with real estate woes
Equity and infrastructure drove gains at C$473 billion ($329 billion) Caisse de Depot et Placement du Quebec, but “persistent headwinds” in real estate allocation given the fund’s above benchmark exposure to US offices in poorly performing cities New York and Chicago dragged down performance in 2024.
South Korea’s NPS pivots to sustainability, dials up risks in the portfolio
After smashing the return record again in 2024, South Korea’s state pension fund National Pension Service is gearing up to reduce coal investments to promote sustainability in the portfolio, and target riskier assets to ensure sustainability in funding.
Abu Dhabi’s ADQ steps up engagement with EM economies
Abu Dhabi-based sovereign wealth fund ADQ kicked off the new year forging two global investment partnerships, as the fund seeks to boost its influence in emerging markets by deploying capital in critical areas such as infrastructure and urban development.
AIMCo sheds more costs with NYC, Singapore offices the latest casualties
The C$169 billion Alberta Investment Management Corporation has shut its Singapore and New York offices and sacked high-profile investment staff as part of a “strategic re-alignment of resources” under the leadership of former Canadian prime minister and now chair of AIMCo Stephen Harper.
ML forecasts trump analyst coverage over long horizons: Research
Machine learning forecasts of corporate earnings outperform analyst forecasts, by revealing new information, economically important predictors and capturing non-linear relationships. Investors can use ML models as a less-biased forecast and a decision-making tool for when there is a vacuum of analyst coverage, an award-winning research paper has found.
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