Abstract
We construct a network centrality portfolio strategy using Planar Maximally Filtered Graph, and investigate the relationships between centrality and cross-section of international stock markets. We find that the network centrality could significantly explain the cross-section of stock market returns. A subsample analysis shows that the strategy performs better before the crisis, which reveals that business cycles influence the performance of the strategy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Billio, M., Getmansky, M., Lo, A. W., & Pelizzon, L. (2012). Econometric measures of connectedness and systemic risk in the finance and insurance sectors. Journal of Financial Economics, 104(3), 535–559.
Diebold, F. X., & Yilmaz, K. (2014). On the network topology of variance decompositions: measuring the connectedness of financial firms. Journal of Econometrics, 182(1), 119–134.
Fama, E. F., & French, K. R. (2012). Size, value, and momentum in international stock returns. Journal of Financial Economics, 105, 457–472.
Firgo, M., Pennerstorfer, D., & Weiss, C. R. (2016). Network centrality and market prices: empirical evidence. Economics Letters, 139, 79–83.
Mantegna, R. N. (1999). Hierarchical structure in financial markets. The European Physical Journal B-Condensed Matter and Complex Systems, 11(1), 193–197.
Newey, W., & West, K. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55, 703–708.
Peralta, G., & Zareei, A. (2016). A network approach to portfolio selection. Journal of Empirical Finance, 38, 157–180.
Pozzi, F., Di Matteo, T., & Aste, T. (2013). Spread of risk across financial markets: Better to invest in the peripheries. Scientific Reports, 3, 1665.
Tse, C. K., Liu, J., & Lau, F. C. M. (2010). A network perspective of the stock market. Journal of Empirical Finance, 17, 659–667.
Tumminello, M., Aste, T., Di Matteo, T., & Mantegna, R. N. (2005). A tool for filtering information in complex systems. Proceedings of the National Academic of Science, 102(30), 10421–10426.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Xu, Z., Li, Z., Fang, T. (2021). Network Centrality and Cross-Section of Stock Market Returns. In: Li, M., Bohács, G., Hua, G., Gong, D., Shang, X. (eds) IEIS 2020. Springer, Singapore. https://doi.org/10.1007/978-981-33-4363-4_1
Download citation
DOI: https://doi.org/10.1007/978-981-33-4363-4_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-4362-7
Online ISBN: 978-981-33-4363-4
eBook Packages: Economics and FinanceEconomics and Finance (R0)