6533b839fe1ef96bd12a64e4
RESEARCH PRODUCT
Economic Sector Identification in a Set of Stocks Traded at the New York Stock Exchange: A Comparative Analysis
Claudia CoronnelloFabrizio LilloSalvatore MiccichèRosario N. MantegnaMichele Tumminellosubject
Physics - Physics and SocietyStatistical Finance (q-fin.ST)Correlation coefficientEconomic sectorEconophysicsFOS: Physical sciencesQuantitative Finance - Statistical FinanceTime horizonPhysics and Society (physics.soc-ph)minimum spanning treeSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Hierarchical clusteringFOS: Economics and businessEconomic informationStock exchangePhysics - Data Analysis Statistics and ProbabilityEconomicsEconometricsfinancial marketRandom matrixData Analysis Statistics and Probability (physics.data-an)Stock (geology)description
We review some methods recently used in the literature to detect the existence of a certain degree of common behavior of stock returns belonging to the same economic sector. Specifically, we discuss methods based on random matrix theory and hierarchical clustering techniques. We apply these methods to a set of stocks traded at the New York Stock Exchange. The investigated time series are recorded at a daily time horizon. All the considered methods are able to detect economic information and the presence of clusters characterized by the economic sector of stocks. However, different methodologies provide different information about the considered set. Our comparative analysis suggests that the application of just a single method could not be able to extract all the economic information present in the correlation coefficient matrix of a set of stocks.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2006-09-01 |