New York – UBS’s alternative research platform continues to expand. Yesterday, the investment bank announced that it has broadened its existing relationship with Abacus Analytics, a quantitative consulting firm. The expanded arrangement includes joint marketing to investors as well as research collaboration with UBS’s quantitative research team.
“Abacus brings sophisticated insight and a differentiated suite of tools to portfolio management, but they aren’t just looking at the surface,” said Mark Steinert, Global Head of Equities Research in UBS’s press release. “Abacus uses an understanding of the statistical properties of underlying alpha generators to design strategy parameters that really enhance performance and benefit clients.”
UBS’s Alternative Research platform seeks to offer its clients access to unique insight. The platform includes strategic alliances with five other independent research firms, including Governance Metrics International, America’s Research Group, Noble, Trucost, and Integrity Research.
Headquartered in Zurich and Basel, Switzerland, UBS is one of the world’s leading financial firms. It serves a discerning, international client base with its wealth management, investment banking and asset management businesses. In Switzerland, UBS is the market leader in retail and commercial banking.
UBS is present in all major financial centers worldwide. It has offices in over 50 countries, with about 38% of its employees working in the Americas, 34% in Switzerland, 15% in the rest of Europe and 13% in Asia Pacific. UBS employs more than 75,000 people around the world. Its shares are listed on the SIX Swiss Exchange, the New York Stock Exchange (NYSE) and the Tokyo Stock Exchange (TSE).
Abacus Analytics was founded in 2001 to provide actionable quantitative insights to both buy- and sell-side clients. Abacus is a quantitative consulting firm serving the brokerage and investment management communities. The firm’s research and consulting services are organized around the portfolio management process, and include models and analytics for alpha generation, risk management, portfolio construction, and performance attribution.