Information-Nonintensive Models of Rumour Impacts on Complex Investment Decisions

Fuente: arXiv
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Main Authors: Bočková, Nina, Doubravský, Karel, Volná, Barbora, Dohnal, Mirko
Format: Preprint
Published: 2025
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_version_ 1866911131776319488
author Bočková, Nina
Doubravský, Karel
Volná, Barbora
Dohnal, Mirko
author_facet Bočková, Nina
Doubravský, Karel
Volná, Barbora
Dohnal, Mirko
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2509_00588
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Information-Nonintensive Models of Rumour Impacts on Complex Investment Decisions
Bočková, Nina
Doubravský, Karel
Volná, Barbora
Dohnal, Mirko
General Economics
Economics
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.
title Information-Nonintensive Models of Rumour Impacts on Complex Investment Decisions
topic General Economics
Economics
url https://arxiv.org/abs/2509.00588