Banqora Insights

Ten weeks after publishing our AI-constructed defensive European equity portfolio, markets gave us a real-world test. The AI portfolio delivered +6.1% while the STOXX Europe Large 200 fell -0.8%.

Banqora research examines whether an agentic AI portfolio manager could perform effectively during severe market stress, simulating a dotcom-style crash on European equities using the STOXX Europe Large 200 index.

Asset managers have long faced a fundamental tradeoff. Discretionary approaches adapt quickly to changing market conditions but suffer from key person risk and limited scalability. Systematic strategies eliminate those dependencies but can lack the flexibility to respond when regimes shift.

Most asset managers still pour budgets into legacy systems, squeezing margins and increasing errors. Smarter automation, analytics, and AI can turn technology into a true engine for growth.

From investment research to post-trade operations, multi-agent AI systems are redefining how financial institutions work. J.P. Morgan's Ask D.A.V.I.D solution is one example of this shift in...

The ECB's latest repo market study sheds light on funding duration risk, collateral scarcity, and the structural role of intragroup transactions.

Many AI initiatives fail to account for hidden costs, from model usage and data management to infrastructure, security, and scalability.

A framework comparing four AI agent approaches across complexity, cost, risk, and ROI dimensions to help businesses choose the right architecture for their needs.

Despite widespread adoption, many financial AI initiatives fall short. Tailored solutions focused on post-trade operations can drive real impact and efficiency.

Record settlement failures and the costly shift to T+1 are reshaping global markets. Financial institutions must modernise post-trade operations with automation and AI to reduce risk, prevent...