About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Deutsche Börse Launches Web Portal for Portfolio Risk Assessment

Subscribe to our newsletter

Deutsche Börse’s SENSIS data product has been available via its own web portal since Monday. SENSIS supplies investors and investment advisors with objective key indicators for systematic risk measurement of tradable investments.

Internet users can run through their own investment scenarios at www.sensis-data.com, and optimise investment portfolios or investment recommendations in line with their personal willingness to take risks. Deutsche Börse calculates these figures as a neutral provider, thereby providing asset managers, advisors and investors with particularly easy access to securities risks without them having to install additional software. The SENSIS data, which is updated daily, provides the risk profile of individual securities, including funds and bonds, or of entire investment portfolios. Risk concentrations are instantly identifiable in diagrams.

SENSIS key risk figures (also known as sensitivity analyses) are calculated for each security, per ISIN. The analyses include influential factors such as currencies, interest rates and commodities prices. The customer accordingly receives up to 30 indicators per single share. This enables the identification of critical risk components in the portfolio that either increase investment risk or decrease diversification. The expanded data package contains additional standardised risk parameters for simplified determination of value at risk, the standard risk measure for portfolios. Defined individual risk parameters can also be taken into account for client specific calculations.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Agentic AI’s Data Quality Imperative: AI in Capital Markets Summit Review

Artificial intelligence agents are not only changing the way organisations deploy new technology, they are also throwing new challenges to data managers as the autonomous structures place new demands on their infrastructure. It’s not enough that AI needs good-quality data to generate and perform the most accurate and safest outputs; agents are also prompting a...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...