# Information-Nonintensive Models of Rumour Impacts on Complex Investment Decisions

## TL;DR

This paper introduces a qualitative, trend-based modeling framework to analyze how rumors influence complex investment decisions under severe information constraints, using minimal data inputs and scenario generation.

## Contribution

It presents a novel qualitative modeling approach that integrates rumor-spreading dynamics with investment decision processes under limited information.

## Key findings

- Framework effectively models rumor impacts on investments.
- Scenario-based analysis captures diverse system behaviors.
- Integration of rumor dynamics with financial decisions enhances understanding.

## Abstract

This paper develops a qualitative framework for analysing the impact of rumours on complex investment decisions (CID) under severe information constraints. The proposed trend-based models rely on minimal data inputs in the form of increasing, decreasing, or constant relations. Sets of trend rules generate scenarios, and permitted transitions between them form a directed graph that represents system behaviour over time. The approach is applied in three interconnected models: financial CID, rumour-spreading dynamics, and their integration.