Risk measures and the risk-return paradox: an analysis in the context of the economic crisis

Purpose – The purpose of this study is to analyze, in the context of the last economic crisis, the prediction capacity of the different risk measures and the relationship between risk and return. Design/methodology/approach – We selected three risk measures constructed using annual accounting data o...

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Detalhes bibliográficos
Autores: Muñoz Castellanos, Rosa María, Sánchez de Pablo González del Campo, Jesús David, Salinero Martín, María Yolanda, Peña García-Pardo, Isidro
Formato: artículo
Fecha de publicación:2020
País:España
Recursos:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/32932
Acesso em linha:https://doi.org/10.7819/rbgn.v22i2.4049
https://rbgn.fecap.br/RBGN/article/view/4049
https://hdl.handle.net/10578/32932
Access Level:acceso abierto
Palavra-chave:Global crisis
Corporate failure
Predictive ability
Risk
Risk-return paradox
Bowman's paradox
Descrição
Resumo:Purpose – The purpose of this study is to analyze, in the context of the last economic crisis, the prediction capacity of the different risk measures and the relationship between risk and return. Design/methodology/approach – We selected three risk measures constructed using annual accounting data obtained from Spanish companies. A logistic regression was then developed to verify whether the companies’ predictions were eventually correct, considering those companies that were able to survive the crisis. A multiple linear regression was subsequently employed in order to review Bowman’s paradox, that is, in the risk-return relationship. Findings – The research results support the two hypotheses formulated:1) variability measures of risk have a greater predictive power than that of downside risk measures; 2) the risk-return paradox is more likely to exist in the more uncertain environment of a pre-crisis period of time. Originality/value – Managers could employ the frameworks developed in this study as important diagnostic tools in order to attain advance warning of whether an organization may be close to failure. An analysis of this nature would then allow a firm to take appropriate action to arrest the process.