Unbiased Consensus Earnings Estimates Excluding Biased Inputs
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Solution Overview
Problem
Current methods for providing consensus earnings estimates fail to distinguish between estimates influenced by investment banking relationships and those that are not, leading to concerns about integrity and potential biases in analyst reporting.
Innovation Solution
A system and method to correlate business relationships with earnings estimates, generating a consensus estimate that excludes inputs from financial institutions with substantial banking relationships, and providing recommended actions based on this differentiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If consensus earnings estimates include all analyst inputs, then the quantity of data is maximized, but the reliability is compromised due to potential bias from investment banking relationships
Solution Approach 1:
The patent segments the consensus estimate into two distinct categories: estimates from analysts with investment banking relationships and estimates from analysts without such relationships. This segmentation allows users to separately evaluate unbiased estimates while preserving the complete data set for reference, thereby maintaining reliability without completely discarding any analyst inputs.
Solution Approach 2:
The system extracts and identifies estimates that may be biased due to investment banking relationships. By extracting these potentially biased estimates and presenting them separately, the system enables users to focus on the remaining unbiased estimates, thus improving the reliability of the consensus estimate without losing the extracted data entirely.
2Reliability
If the system identifies and excludes biased estimates, then the reliability improves, but the device complexity increases due to additional screening mechanisms
Solution Approach 1:
The patent introduces an intermediary component (the computer system with database) that automatically screens and identifies potentially biased estimates based on pre-stored information about investment banking relationships. This intermediary handles the complex screening task, keeping the overall system complexity manageable while still achieving reliable unbiased consensus estimates.
Solution Approach 2:
The system performs preliminary screening and identification of potentially biased estimates before generating the consensus estimate. By conducting this screening action in advance and storing the information in a database, the system avoids the need for complex real-time screening during the consensus calculation process, thereby managing device complexity while maintaining reliability.
3Loss of information
If the system provides detailed differentiation of estimates, then the loss of information is reduced, but the ease of operation decreases due to increased complexity in interpreting multiple estimates
Solution Approach 1:
The patent applies local quality by providing different levels of information presentation: a simplified primary consensus estimate for easy interpretation, and detailed breakdown information about individual analyst estimates and their sources for those who need deeper information. This allows the system to reduce information loss while maintaining ease of operation for typical users.
Solution Approach 2:
The system adds an informational dimension by organizing data hierarchically: the primary consensus estimate provides a simple summary, while additional dimensions of information (individual analyst inputs, their relationships, and potential biases) are made available upon request or in appendices. This multi-dimensional presentation reduces information loss without overwhelming users with complexity.
Data Source
AI summary
Apparatus and methods are described for correlating business relationships and issuing earnings estimates. According to the present invention, an earnings estimate can be generated for a company as it compares to a consensus estimate, or other rating aggregate, along with an indication of an investment banking relationship or other business relationship that the entity providing the estimate has had with the company. In addition to a consensus estimate that may be based upon current and previous analyst earnings estimates, operating actuals, expected reporting dates, footnotes and company-issued guidelines, indications of investment banking relationships and a consensus estimate is provided that excludes input from banks conducting business with the company. The present invention can also include suggested actions that can be taken based upon data relating to an investment banking relationship, an earnings estimate and/or a consensus earnings estimate that excludes input from banks with substantial business relationships with the company.