A Second-Order Hierarchical Clustering of Cryptocurrencies | ||
| Interdisciplinary Journal of Management Studies | ||
| دوره 15، شماره 3، پاییز 2022، صفحه 569-593 اصل مقاله (1.12 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/ijms.2021.320018.674466 | ||
| نویسنده | ||
| Hojjatollah Sadeqi* | ||
| Department of Accounting and Finance, Faculty of Humanities and Social Sciences, Yazd University, Yazd, Iran | ||
| چکیده | ||
| The clustering of cryptocurrencies as an emerging field in investment management is the main topic of this research. Applying the information-based distance matrices, we clustered the 30 most valuable cryptocurrencies. Then, we identified the most influential clustering by the concept of Minimum Spanning Tree (MST) and the centrality measures of graph theory. A second-order clustering, which is defined as the clustering of hierarchical clusterings, was applied to cluster 56 dendrograms. Using the most influential clustering, we identified the main clusters of cryptocurrencies and sub-clusters. The results showed that the clustering composition of cryptocurrencies changed at the period I (before COVID-19) and II (pandemic time). | ||
| کلیدواژهها | ||
| hierarchical clustering؛ minimum spanning trees؛ entropy؛ cryptocurrencies | ||
| مراجع | ||
|
| ||
|
آمار تعداد مشاهده مقاله: 1,167 تعداد دریافت فایل اصل مقاله: 1,598 |
||