For all parts of the
investment research lifecycle
The RIXML Research Standard is designed to reduce friction across all parts of the investment research distribution lifecycle.
How your firm will benefit from using the RIXML standards depends on the role or roles your firm plays:
Efficiency
built in
from the beginning
Before investment research can be created, the tools needed to do so have to be built.
Some buyside, sellside, and independent research firms build their research creation tools in-house, others purchase third-party products created by vendors who specialize in creating these tools and customize them to meet their firm’s needs.
Either way, these tools generally have a number of features to make creating research easier:
Templates
ensure a consistent format is followed, and provide guidance the ensures that the firm’s processes and procedures are followed.
Dropdown menus
provide a consistent set of terms used across all of the firm’s research.
Data integration
pulls in additional financial data based on the ticker, simplifying the process of populating the research report with needed information and reduces the chance for error.
These tools are designed to make the process of creating investment research more efficient and accurate. Incorporating RIXML metadata tags and taxonomies ensures that the content created using these tools create flows seamlessly through downstream content distribution, aggregation, and search systems.
Creating content
Investment professionals, independent research creators, and others producing research content for investment professionals use these tools to create research. Templates automate much of the process, such as populating the author’s contact information, inserting financial data based on the company ticker, and selecting the relevant sector from a drop-down menu.
For all types of investment research
company reports | models | sector, industry, country, and region overviews | macroeconomic analysis | thematic research | podcasts | webinars
For all formats
PDF | Excel | text files | audio and video | HTML5 | interactive
For all distribution channels
publisher's website | aggregation platforms | direct feeds | custom solutions
For all tasks
describe | distribute | categorize | aggregate | search | compare | sort | search | distill
For all reasons
initiating coverage | in-depth analysis | quick take on news | change of rating, weighting, or outlook
Describing content using
automatically and manually added metadata
Creating the RIXML metadata file is a critical part of publishing research content, but that doesn't mean that research authors need to become metadata experts or spend time manually adding metadata to ensure it gets to the right audience.
The features built into research creation tools that make it easier for investment professionals to produce their research reports also facilitate the process of capturing RIXML metadata behind the scenes. Dedicated fields for entering estimates, price targets, or other data provide additional automation opportunities.
The template an author uses, the values selected from dropdown menus, and the data pulled in based on the ticker allow much of the needed tagging to be added behind the scenes. Additional tagging can be added based on a publisher's needs and preferences.
Distributing content
Research content is usually published to multiple places, including to the firm’s own institutional research platform, to a variety of aggregation vendors, and often via direct feeds to institutional clients.
When research content is published, a RIXML tag file travels along with it, allowing the publisher to clearly indicate important information about the research, including authorship and copyright information, subject matter, and publication details.
Without RIXML
content producers need to create and maintain entirely separate mechanisms to send their research content and its associated tagging information to each research aggregation vendor and client that receives their research.
With RIXML
RIXML Research enables firms to create and maintain a single process for transmitting their research content to all of their data aggregation vendors and clients, greatly improving efficiency and reducing maintenance costs.
The RIXML Research standard’s extensibility means that publishers can add any additional tags an aggregator may need, such as a proprietary company code, author code, or entitlement code.
Aggregating content
After publication, research begins traveling to the systems that will help the end users find it. Generally, this means that it is commingled with other research content. Internally, this may mean research content from other departments or divisions; externally, this will mean research from other firms.
The things that make RIXML a more efficient way for publishers to transmit their content to multiple aggregators also make it a more efficient way for aggregators to collect research content from multiple publishers.
Major aggregation vendors have used RIXML for decades, and their content aggregation systems are built to parse the structured data in each RIXML record to populate their metadata database. With all publishers using a common language to describe their research content, aggregators can develop products and services to help their clients find and make use of the investment research they need.
Benefitting from RIXML –
usually without even knowing that it exists!
Because all research publishers who use RIXML are using the same set of tags to describe their content, and aggregators have developed their searching, alerting, and research discovery features based on this tagging, end users benefit from RIXML without even knowing it exists.
Developing insights
The metadata in a RIXML record is designed to meet the needs of both the humans and the systems that will be using it, simplifying the process of finding relevant research.
Artificial intelligence tools have already impacted how investment research is created, described, distributed, consumed, and analyzed. One thing thas has not changed is the importance of metadata.
In fact, the reason that artificial intelligence-powered content analysis tools need high-quality metadata is similar to the reason that the tools that power traditional searching, filtering, and alerting need it: accuracy and efficiency!
Traditional search
The metadata in a RIXML record is provided by the publisher, so it accurately describes the content of the research report, model, or other content.
AI-powered search & analysis
AI-powered tools need metadata for the same reasons as traditional search: improved accuracy and efficiency. The RIXML metadata that describes each research report helps generative search tools identify the research reports that are likely to contain the answer to the query prompt.
Content interoperability
The key tag sets in the RIXML Research Standard are also used in the other standards in the Suite: the Interactions Standard, Coverage Updates Standard, and Roster Updates Standards. Leveraging a shared tag set makes the process of maintaining these systems and communicating the information to buyside firms, vendors, and other partners more efficient.