Skip navigation
Please use this identifier to cite or link to this item: https://repositorio.unb.br/handle/10482/36304
Files in This Item:
File SizeFormat 
ARTIGO_MultiAgentBased.pdf1,63 MBAdobe PDFView/Open
Title: Multi-agent based modeling applied to portfolio selection in the doom-loop of sovereign debt context*
Authors: Rosa, Paulo Sérgio
Gartner, Ivan Ricardo
Ralha, Célia Ghedini
metadata.dc.identifier.orcid: http://orcid.org/0000-0003-4481-1916
Assunto:: Investimentos
Modelo Baseado em Agente (MBA)
Dívida pública
Ciclo de destruição
Risco sistêmico
Issue Date: 2019
Publisher: Sociedade Brasileira de Pesquisa Operacional
Citation: ROSA, Paulo Sérgio; GARTNER, Ivan Ricardo; RALHA, Célia Ghedin. Multi-agent based modeling applied to portfolio selection in the doom-loop of sovereign debt context*. Pesquisa Operacional, v. 39, n. 1, p. 57-84, 2019. DOI: https://doi.org/10.1590/0101-7438.2019.039.01.0057. Disponível em: http://scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382019000100003. Acesso em: 23 jan. 2020.
Abstract: This study explores the self-fulfilling dynamic between sovereign debt risk and rational choices of neutral, risk-seeking and risk-averse investors, with implications to the systemic risk emergence. The agent-based model parameterization includes investment strategy (randomly selected assets, stock exchange participation, economic segment, and technical analysis), portfolio rebalance period, and stop gain/loss option. We use Brazilian markets data from 2006 to 2017 to simulate stochastic distributions of investments by a set of 3,000 agents in both stages of model verification and validation (robustness check). Using the Capital Asset Pricing Model, we confirmed our proposition that the optimal rational risk attitude (less risk appetite) constitutes a trigger for the self-fulfilling dynamic, having its foundation on government securities yield and in the debt dynamics. This finding is contrary to the equity premium puzzle in the Brazilian case. The findings have implications to policymakers regarding systemic risk issues, among other public policies.
Licença:: (CC BY)
DOI: https://doi.org/10.1590/0101-7438.2019.039.01.0057
Appears in Collections:CIC - Artigos publicados em periódicos
PPGA - Artigos publicados em periódicos

Show full item record Recommend this item " class="statisticsLink btn btn-primary" href="/handle/10482/36304/statistics">



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.