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Most Recent Technology
Analytics | Portfolio Risk Management
Axioma and Jacobi forge new partnership bringing investment managers enhanced risk analytics and workflow tools
Axioma, today announces a new partnership with Jacobi Inc (Jacobi). Clients of Jacobi’s platform, including asset managers, wealth managers, consultants and asset owners, will now have access to Axioma’s equity and multi-asset class factor risk models and portfolio optimizer, to better visualize portfolio risk, inform portfolio construction decisions, and ultimately bolster their portfolio return objectives.
Axioma has announces an expanded partnership with Equity Data Science (EDS), to deliver hedge funds and asset managers access to its market-leading Axioma Equity Factor Risk Model Suite.
Analytics | Index | Benchmarks
Together in ’22: Qontigo Investment Intelligence Summit returns to London, New York
After two years of virtual gatherings, I’m thrilled to announce that the flagship Qontigo Investment Intelligence Summit will return in person this May. This year’s Summit, which we have called ‘Together in ’22,’ will take place in London on May 5 and in New York on May 19. The two events will offer insights on some of the most important […]
This whitepaper evaluates two thematic investment strategies – STOXX® Global Ageing Population (“Ageing Population”) and STOXX® Global Millennials (“Millennials”) – which seek exposure to these two distinct generations.
In this paper we analyzed four tech-oriented thematic indices’ performance and risk through a factor lens leveraging Axioma’s Worldwide Fundamental Factor Model, and also compared their characteristics to the broad market indices.
Analytics | Technology
ESG, technology and survival of the fittest – the changing world of investment management
As founder of fintech Axioma, and now the CEO of newly launched analytics and index provider Qontigo, Sebastian Ceria has for over 20 years been immersed in the sweeping changes that continue to transform the business of investment management
Constructing fixed income factor models has long been an elusive endeavor owing to a number of challenges, not least of which includes cleansing and organizing the underlying fixed income data, or lack thereof.