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Bloomberg Equity Research Programme
Train Like a
Market Professional
Each term mirrors a real finance role, with live Bloomberg workflows, practical assignments, and outcome-driven learning.
Foundations of Bloomberg Navigation
Market Data Extraction and Integrity
Firm-Level Financial Research
Macroeconomic and Policy Intelligence
Fixed Income and Interest Rate Analytics
Research Integration with Excel
News, Events, and Market Reactions
Sectoral and Industry Analysis
Global Markets and Cross Asset Linkages
Event-Based Financial Research
Monitoring, Dashboards, and Market Tracking
End-to-End Bloomberg Research Workflow
Equity Research Challenge
Beat the Sensex
WealthPreneur (Build Your Own WM Firm)
Investment Banking Challenge
PE/VC Challenge
The Tax Playbook
The Financial Audit Challenge
Global Markets and Cross Asset Linkages
Event-Based Financial Research
Monitoring, Dashboards, and Market Tracking
End-to-End Bloomberg Research Workflow
How to Navigate Bloomberg Like a Practitioner
How to understand Bloomberg’s command structure and logic
How to customise screens, monitors, and saved workspaces
How to search functions efficiently and avoid common mistakes
How to manage outputs, notes, and exports for later analysis
How to Extract Market Data for Financial Research
How to identify reliable data sources within Bloomberg
How to pull clean historical price and volume data
How to handle frequencies, time windows, and adjustments
How to document data sources for research use
How to Use Bloomberg for Equity and Firm-Level Research
How to extract firm-level fundamentals and ratios
How to standardise financial statements across companies
How to build peer sets for comparative research
How to prepare datasets for cross-firm analysis
How to Work with Macroeconomic and Policy Data
How to extract macroeconomic time series
How to compare indicators across countries
How to align macro data with market variables
How to prepare macro datasets for empirical analysis
How to Conduct Bond and Interest Rate Analysis Using Bloomberg
How to extract yield, duration, and curve data
How to analyse term structures across markets
How to work with central bank and rate expectations data
How to prepare interest rate datasets for analysis
How to Combine Bloomberg Data with Excel for Research
How to use the Bloomberg Excel Add-In effectively
How to pull large datasets into structured Excel models
How to manage live vs static data
How to ensure data accuracy and reproducibility
How to Use Bloomberg News and Events for Research
How to identify event dates and timelines
How to link news and announcements to price movements
How to structure event windows for analysis
How to document qualitative inputs in quantitative research
How to Conduct Sector and Industry Level Analysis
How to extract sector indices and classification data
How to compare industry performance and drivers
How to study structural vs cyclical effects
How to build sector-level research views
How to Analyse Commodities, FX, and Global Linkages
How to extract commodity and FX datasets
How to study correlations and spillovers
How to interpret volatility and co-movements
How to prepare multi-asset datasets for research
How to Design Event Studies Using Bloomberg Data
How to identify suitable events and sample periods
How to extract pre and post-event market data
How to design clean comparison windows
How to avoid common pitfalls in event-based analysis
How to Build Research-Ready Dashboards on Bloomberg
How to create dashboards for monitoring research variables
How to track multiple assets and indicators together
How to design dashboards for long-horizon studies
How to automate updates and monitoring
How to Structure an End-to-End Bloomberg-Based Research Workflow
How to frame a research question using market data
How to extract, clean, and document datasets
How to align Bloomberg usage with academic or professional research goals
How to maintain discipline and compliance in long-term data usage
Disclaimer: The curriculum is indicative and subject to ongoing refinements based on inputs from industry experts.