Automated Financial Scenario Forecasting System
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Solution Overview
Problem
Manually gathering and individually assessing financial instrument data is tedious and time-consuming, limiting the ability to analyze impacts between instruments effectively.
Innovation Solution
A computerized system that automatically identifies and collects relevant data, applies algorithms to identify trends, and generates electronic scenario forecasts, allowing for real-time modification and analysis of various 'what-if' scenarios affecting financial instruments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual gathering and individual assessment of financial instrument data is performed, then data accuracy can be ensured through human judgment, but time consumption and labor intensity increase significantly
Solution Approach 1:
The patent replaces manual mechanical data gathering and assessment processes with an automated computerized system that electronically collects data from multiple sources, applies algorithms to identify trends and relationships, and generates scenario forecasts automatically, thereby eliminating time-consuming manual operations while maintaining analytical accuracy
Solution Approach 2:
The system enables self-service automated data collection and analysis by electronically gathering information from multiple sources, applying assessment algorithms, and generating forecasts without requiring manual human intervention for each financial instrument, thus resolving the contradiction between accuracy and time consumption
2Measurement precision
If individual assessment of each financial instrument is performed separately, then detailed analysis of each instrument is achieved, but the ability to analyze impacts between instruments is constrained
Solution Approach 1:
The patent merges individual instrument assessments into a unified computerized system that simultaneously analyzes multiple financial instruments and their interrelationships, allowing detailed individual analysis while also capturing cross-instrument impacts through electronic data integration and algorithmic trend identification
Solution Approach 2:
The system provides multi-functional capability to perform both individual instrument assessment and cross-instrument impact analysis through the same electronic platform, enabling versatile analysis that accommodates both detailed individual examination and broader relational assessment
3Quantity of substance
If vast electronic data is collected for scenario forecasting, then comprehensive analysis coverage is improved, but data processing complexity and computational requirements increase
Solution Approach 1:
The system extracts only the relevant data and relationships needed for scenario forecasting from vast electronic data sources using automated algorithms, identifying key trends and patterns while filtering out unnecessary information, thus achieving comprehensive analysis coverage without proportionally increasing processing complexity
Data Source
AI summary
Systems, methods, and other embodiments associated with computing scenario forecasts according to electronic inputs are described. In one embodiment, a method includes, in response to receiving a signal that triggers data collection, collecting electronic data from one or more electronic databases by aggregating the electronic data into data structures of a processing table. The electronic data defines historic values of a set of instruments. The method also includes computing projected values for each of the set of instruments according to correlations identified in the historic values. The projected values form primary forecasts that model expected future values of the set of instruments. The method includes, in response to receiving electronic inputs including scenario variables of a scenario that affects the primary forecasts, generating scenario forecasts for the set of instruments according to the scenario variables and the projected values to identify how the scenario influences the primary forecasts.