All Bloomberg indices are built on the same trusted capital markets expertise and data which underpin its products. Marrying index analytics with indices developed by industry-leading teams of analysts, proven risk-modelling expertise, real-time news feeds and an optimization solution means that we can find, and explain, optimal risk-return profiles.
That same optimization process is applied to customized products, which can cater to customers wanting to benchmark against any combination of equities and multi-asset portfolios, including Bloomberg’s fixed income, equity and commodity benchmarks. Custom indices can be built from the ground up or based on known benchmarks. For the latter, investors can add filters that tilt weightings or eliminate companies that have characteristics unattractive to a desired outcome.
The engine behind each index will also add value for exchange-traded funds, which can take advantage of the broad data reach (including proprietary thematic info) to build their bespoke benchmarks. That will be vital for the growing retail market which wants reliable and novel indices to help build their diversified portfolios. In the same way, Bloomberg’s multi-asset benchmarks incorporate fixed-income, equities and commodities, and can even include digital assets like Bitcoin.