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Multidimensional minimal spanning tree: The Dow Jones case

✍ Scribed by Juan Gabriel Brida; Wiston Adrián Risso


Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
491 KB
Volume
387
Category
Article
ISSN
0378-4371

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✦ Synopsis


This paper introduces a new methodology in order to construct Minimal Spanning Trees (MST) and Hierarchical Trees (HT) using the information provided by more than one variable. In fact, the Symbolic Time Series Analysis (STSA) approach is applied to the Dow Jones companies using information not only from asset returns but also for trading volume. The US stock market structure is obtained, showing eight clusters of companies and General Electric as a central node in the tree. We use different partitions showing that the results do not depend on the particular partition. In addition, we apply Monte Carlo simulations suggesting that the tree is not the result of random connections.


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Random minimal spanning tree and percola
✍ Mathew D. Penrose 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 251 KB 👁 1 views

The N-cube is a graph with 2 N vertices and N 2 Ny1 edges. Suppose indepen- dent uniform random edge weights are assigned and let T be the spanning tree of minimal Ž . y 1 N ϱ y3 total weight. Then the weight of T is asymptotic to N 2 Ý i as N ª ϱ. Asymp-is1 totics are also given for the local stru