Qontigo has made available ISS ESG, Clarity AI and Sustainalytics data within its financial optimizer, Axioma Portfolio Optimizer (APO). Sustainalytics will also be integrated into Axioma Portfolio Analytics (APA) for performance attribution and reporting as well as Axioma Risk Model Machine (RMM), which allows users to create custom risk models.
We posted a blog in May 2018 specifically for asset managers who were still trying to integrate legacy technology into their investment ecosystem. Three years later, APIs are a must across the financial industry but not all APIs are created the same. We’ve updated this blog to include what it means to be API-first.
SimCorp, an independent provider of SaaS investment management solutions and trusted partner to the global buy side, today announces a new partnership with Qontigo, a leading provider of analytics and indices, and part of the Deutsche Börse Group.
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.
Industry dynamics are altering the traditional roles played by industry participants in the capital markets and investment ecosystems. Active investment firms are faced with immediate business challenges that are born from the waves of regulation, passive investing, fee compression trends, and broader capital demands that have emerged since the last financial crisis.
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.