July 23, 2026 By Yodaplus
MiFID II research unbundling changed how investment research is paid for by separating research costs from trading commissions. Before the regulation, asset managers typically received equity research from brokers as part of the fees they paid for trade execution. MiFID II required firms to pay for research separately, making its cost transparent and forcing both research providers and investment firms to rethink how research is produced, priced, and consumed.
Introduced by the European Union in January 2018, MiFID II (Markets in Financial Instruments Directive II) was designed to improve transparency, reduce conflicts of interest, and strengthen investor protection. While the rule applied to European markets, its effects were felt across the global investment industry.
Before MiFID II, the process was relatively simple.
When an asset manager executed trades through an investment bank or broker, they paid a commission. That commission covered two services:
Research reports, analyst meetings, earnings previews, and investment insights were bundled into trading costs.
Because research was included within execution fees, clients rarely knew how much they were actually paying for research.
This model had existed for decades and became standard practice across capital markets.
MiFID II introduced one major change.
Research could no longer be bundled with execution services.
Investment firms had to choose one of two approaches:
This made research a separately priced product rather than an indirect benefit attached to trading activity.
For the first time, research providers had to demonstrate the commercial value of their work.
European regulators believed the previous model created several problems.
Because research was tied to trading commissions, firms sometimes traded more frequently than necessary to maintain access to research.
It also became difficult for investors to understand:
Research unbundling was introduced to improve:
The objective was to ensure investment decisions were driven by research quality rather than bundled commercial relationships.
Once research carried a visible price tag, asset managers became much more selective.
Instead of subscribing to dozens of research providers, firms started evaluating:
Research budgets became more disciplined, with greater focus on measurable value.
Investment banks experienced significant changes after MiFID II.
Research departments that had traditionally been supported through trading commissions suddenly had to operate as standalone businesses.
Many firms responded by:
Rather than producing as much research as possible, the emphasis shifted toward producing research that clients were willing to pay for directly.
One of the most widely discussed consequences of MiFID II was the decline in research coverage for smaller listed companies.
Research naturally became concentrated around companies with greater investor demand.
Many small and mid-cap businesses experienced:
This raised concerns about whether smaller businesses could continue attracting sufficient investor attention.
Research unbundling also created new opportunities.
Independent research firms no longer had to compete against bundled research attached to trading relationships.
Instead, they could compete based on:
Many investors began building research portfolios using multiple specialized providers rather than relying exclusively on large investment banks.
As research budgets tightened, efficiency became increasingly important.
Technology began supporting analysts by automating repetitive activities such as:
Automation helped research teams maintain productivity despite smaller budgets and leaner analyst teams.
Artificial intelligence is driving another transformation in equity research.
AI can rapidly process:
Instead of spending hours gathering information, analysts can focus on interpreting data, testing investment ideas, and communicating recommendations.
As research becomes more data-intensive, AI enables firms to deliver faster, more comprehensive insights without proportionally increasing costs.
Although MiFID II came into effect several years ago, its influence continues to shape equity research.
Research is now treated as a measurable investment rather than an invisible cost.
Investment firms increasingly evaluate research providers based on:
This has encouraged greater innovation in research delivery, pricing models, and technology adoption across the investment industry.
MiFID II research unbundling transformed equity research by separating research payments from trading commissions and making research costs transparent. The regulation encouraged greater accountability, improved competition among research providers, and pushed investment firms to evaluate research based on quality rather than bundled relationships. Although it created challenges for traditional research business models and reduced coverage in some market segments, it also accelerated the adoption of technology and AI to improve research efficiency and deliver more valuable investment insights.
Yodaplus Agentic AI for Financial Operations helps investment banks, asset managers, wealth managers, and institutional research teams modernize equity research through intelligent automation. By combining Agentic AI, financial data analysis, document intelligence, workflow orchestration, and automated report generation, Yodaplus enables organizations to streamline research workflows, reduce manual effort, accelerate report creation, and deliver higher-quality investment insights with greater efficiency.
MiFID II research unbundling is a regulation that requires investment research to be paid for separately from trade execution services, making research pricing more transparent.
It was introduced to improve transparency, reduce conflicts of interest, strengthen investor protection, and encourage competition among research providers.
Investment banks had to separate research revenues from trading commissions, leading many to revise pricing models, reduce research coverage, and invest in technology to improve efficiency.
Yes. Many small and mid-cap companies received less analyst coverage because investment firms became more selective about the research they purchased.
AI automates financial data collection, document analysis, company monitoring, report generation, and research workflows, allowing analysts to focus on deeper investment analysis and decision-making.