The predictive power of stock market’s expectations volatility: A financial synchronization phenomenon
Fecha
2021-05-20
Profe guía
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Título del volumen
Editor
Public Library of Science
ISBN
ISSN
1932-6203
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Resumen
We explore the use of implied volatility indices as a tool for estimate changes in the synchronization of stock markets. Specifically, we assess the implied stock market’s volatility indices’ predictive power on synchronizing global equity indices returns. We built the correlation network of 26 stock indices and implemented in-sample and out-of-sample tests to evaluate the predictive power of VIX, VSTOXX, and VXJ implied volatility indices. To measure markets’ synchronization, we use the Minimum Spanning Tree length and the length of the Planar Maximally Filtered Graph. Our results indicate a high predictive power of all the volatility indices, both individually and together, though the VIX predominates over the evaluated options. We find that an increase in the markets’ volatility expectations, captured by the implied volatility indices, is a good Granger predictor of an increase in the synchronization of returns in the following month. Estimating, monitoring, and predicting returns’ synchronization is essential for investment decision-making, especially for diversification strategies and regulating financial systems.
Descripción
Lugar de Publicación
Sponsorship
Universidad Adolfo Ibáñez, under the grant Internal Funds for Research 1154-2020 (Business School - Jaime F. Lavin).
Citación
Plos one, Vol. 16, N° 5, e0250846 (2021) p. 1-21
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Licencia
Atribución-NoComercial-CompartirIgual 3.0 Chile (CC BY-NC-SA 3.0 CL)