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arXiv · 2509.00588

Information-Nonintensive Models of Rumour Impacts on Complex Investment Decisions

Nina Bočková·Karel Doubravský·Barbora Volná·Mirko Dohnal
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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.

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BibTeXRIS

Nina Bočková, Karel Doubravský, Barbora Volná, Mirko Dohnal. 2025-08-30. Information-Nonintensive Models of Rumour Impacts on Complex Investment Decisions. https://arxiv.org/abs/2509.00588

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