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Description

Geopolitical uncertainty continues to challenge the way risk is assessed and how organizations prepare for market disruption. This webinar will explore how firms are approaching risk analysis and scenario modeling to navigate today's market environment.

The session will begin with an overview of current market conditions, the various types of risk embedded in day-to-day trading and investment activities, and the solutions Bloomberg MARS provides to help firms assess and manage the potential impact on portfolio performance.

Attendees will then be introduced to Bloomberg's market risk tools, which enable comprehensive scenario analysis, including forward-looking (predictive) scenarios and stress testing.

The webinar will conclude with a conversation between James Bailey, Quantitative Analyst at Cercano Management, and Aishwarya Kumaar, Bloomberg Relationship Manager in Buyside Enterprise, discussing how financial institutions are managing today's market volatility and strengthening their risk analysis and decision-making processes in response to the current geopolitical landscape.

Description

As settlement cycles compress, buy-side firms are rethinking post-trade operations. Join us to discover how Bloomberg modernizes post-trade workflows with event-driven synchronization, intelligent automation, and enhanced operational oversight while supporting more efficient settlement.

Discussion Topics:

Market Evolution: Firms are moving beyond traditional balance reconciliation toward event-based synchronization that supports a current, accurate, and trusted IBOR.
Modern Criteria-Based Rules Engine: Clients can define how incoming events are handled based on event type, materiality, and operational risk.
Flexible Workflow Automation: Compare critical events, auto-accept trusted third-party data, or combine both through hybrid rules to balance oversight with efficiency.
Operational Oversight in Trade Complete: Improve visibility into outstanding tasks, exceptions, ownership, and next steps required to complete post-trade activities.
Supporting Compressed Settlement Cycles: Expand asset-servicer integrations and customizable SWIFT messaging to support outsourced operating models, streamline data exchange, and accelerate settlement readiness.

Description

Equity investment teams often need to bring together research, portfolio insights, and decision making throughout the investment process. This can make it harder to understand what is driving portfolio performance, identify areas for deeper research, and translate those insights into informed portfolio actions.

In this webinar, we’ll show how Bloomberg RMS can help connect these workflows. Starting with performance attribution, we’ll explore how investment teams can move into deeper analysis, develop and evaluate ideas, and carry those insights through to portfolio decisions, while keeping research and portfolio context connected along the way.

Description

Risk models are essential tools for both risk forecasting and portfolio optimisation. Traditional global equity models, however, may contain "blind spots" that can compromise the performance of the risk model. Join Bloomberg to explore how integrated equity models can provide a more robust framework for risk forecasting and portfolio construction.

What you'll learn:

Common blind spots in global equity models and how integrated models can help address them
A comparison of risk forecast accuracy between global and integrated equity models
How integrated models can improve the efficiency of optimised portfolios
Best practices for building integrated equity models and avoiding common implementation pitfalls using advanced risk modelling techniques