Abstract
The purpose of this article is twofold. First, we introduce a novel definition of financial networks obtained from time series data from the stock market. Second, we demonstrate that these networks can be used as an index with the property to reflect critical states of the market, respectively, crashes sufficiently. Our work aims to advocate a network-based analysis in the context of the stock market, because such a collective phenomenon can not only be economically described by networks but also analyzed as demonstrated in this article.
| Original language | English |
|---|---|
| Pages (from-to) | 24-33 |
| Number of pages | 10 |
| Journal | Complexity |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 29 Oct 2010 |
| Externally published | Yes |
Keywords
- Complex networks
- Computational finance
- Finance
- Financial networks
- Graph edit distance
- Market index
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