In this paper a correction factor for Jennrich's statistic is introduced in order to be able not only to test the stability of correlation structure, but also to identify the time windows where the instability occurs. If Jennrich's statistic is only to test the stability of correlation structure along predetermined non-overlapping time windows, the corrected statistic provides us with the history of correlation structure dynamics from time window to time window. A graphical representation will be provided to visualize that history. This information is necessary to make further analysis about, for example, the change of topological properties of minimal spanning tree. An example using NYSE data will illustrate its advantages. © 2014 by the authors;licensee MDPI, Basel, Switzerland.
CITATION STYLE
Djauhari, M. A., & Gan, S. L. (2014). Dynamics of correlation structure in stock market. Entropy, 16(1), 455–470. https://doi.org/10.3390/e16010455
Mendeley helps you to discover research relevant for your work.