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Information-Nonintensive Models of Rumour Impacts on Complex Investment Decisions

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Listed:
  • Nina Bov{c}kov'a
  • Karel Doubravsk'y
  • Barbora Voln'a
  • Mirko Dohnal

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.

Suggested Citation

  • Nina Bov{c}kov'a & Karel Doubravsk'y & Barbora Voln'a & Mirko Dohnal, 2025. "Information-Nonintensive Models of Rumour Impacts on Complex Investment Decisions," Papers 2509.00588, arXiv.org.
    • Handle: RePEc:arx:papers:2509.00588
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    References listed on IDEAS

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