Identifying common spectral and asymmetric features in stock returns

Caiado, Jorge; Crato, Nuno

http://hdl.handle.net/10400.5/27735

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Authors

Caiado, Jorge

Crato, Nuno

Abstract(s)

This paper proposes spectral and asymmetric-volatility based methods for cluster analysis of stock returns. Using the information about both the periodogram of the squared returns and the estimated parameters in the TARCH equation, we compute a distance matrix for the stock returns. Clusters are formed by looking to the hierarchical structure tree (or dendrogram) and the computed principal coordinates. We employ these techniques to investigate the similarities and dissimilarities between the "blue-chip" stocks used to compute the Dow Jones Industrial Average (DJIA) index. For reference, we investigate also the similarities among stock returns by mean and squared correlation methods.

Keywords

Asymmetric Effects Cluster Analysis DJIA Stock Returns Periodogram Threshold ARCH Model Volatility

URI

http://hdl.handle.net/10400.5/27735

Citation

Caiado, Jorge and Nuno Crato .(2007). “Identifying common spectral and asymmetric features in stock returns”. MPRA Paper No. 6607 -2007. (Search PDF in 2023).