Powered by advanced factor research and daily refreshed data, Bloomberg’s MAC3 Risk Model transforms how investors see and manage risk in a multi-asset world. Bloomberg MAC3 gives investors a unified ...
Wealth managers are eager to deploy model portfolios in their client accounts, thanks to models’ ready availability, transactional convenience, and the increasingly broad array of model offerings.
NEW YORK – Tuesday December 2, 2025 – Bloomberg today announced that Marshall Wace, a leading global liquid alternatives manager with $70BN+ in assets, has adopted Bloomberg’s Multi-Asset Class ...
Below I evaluate each of the asset class buckets. 1. Inflation Beneficiary Equities [IBEs] This asset allocation bucket is performing well and that performance, together with increases in some ...
Model investment portfolios have become a staple for many financial advisors. Their simplicity allows advisors to scale their practices while spending more time managing client relationships. While ...
Alternative assets have become an increasingly important component of model portfolios, offering investors unique opportunities to invest in private market assets that are typically available only to ...
Today’s revised forecast marks the first higher estimate in the past four months for GMI. US shares are expected to earn noticeably softer results in the years ahead vs. the market’s realized return ...
Strategically allocating your investments across different asset classes is the best way to balance risk and reward. It helps you optimize your portfolios for growth and stability while reducing ...
It took more than 30 years for alternative asset classes like venture capital, private equity and hedge funds to become must-have portfolio allocations, but they have finally arrived in force. Private ...
How many asset classes are there? An asset class is a group of investments with similar financial characteristics. As a result, they react similarly to market events. Asset classes are the building ...
In a breakthrough for artificial intelligence (AI) and finance, computer scientists from Texas A&M University have developed a machine learning based method called Symbolic Modeling to handle ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. In recent years, the music industry has undergone a ...