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  • Search: person:"Djauhari, Maman Abdurachman"
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Adjacency matrix 1 Business sectors 1 Closeness centrality 1 Correlation networks 1 Escoffier’s operator 1 Euclidean distance 1 Market index 1 Membership function 1 Multivariate association 1 Stock networks 1 Stocks network analysis 1 Sub-dominant ultrametric 1 Ultrametric distance 1 Vector correlation 1
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Undetermined 3
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Article 3
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Djauhari, Maman Abdurachman 3 Gan, Siew Lee 2 Kazemilari, Mansooreh 1
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Physica A: Statistical Mechanics and its Applications 3
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RePEc 3
Showing 1 - 3 of 3
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Correlation network analysis for multi-dimensional data in stocks market
Kazemilari, Mansooreh; Djauhari, Maman Abdurachman - In: Physica A: Statistical Mechanics and its Applications 429 (2015) C, pp. 62-75
This paper shows how the concept of vector correlation can appropriately measure the similarity among multivariate time series in stocks network. The motivation of this paper is (i) to apply the RV coefficient to define the network among stocks where each of them is represented by a multivariate...
Persistent link: https://www.econbiz.de/10011264569
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Optimality problem of network topology in stocks market analysis
Djauhari, Maman Abdurachman; Gan, Siew Lee - In: Physica A: Statistical Mechanics and its Applications 419 (2015) C, pp. 108-114
Since its introduction fifteen years ago, minimal spanning tree has become an indispensible tool in econophysics. It is to filter the important economic information contained in a complex system of financial markets’ commodities. Here we show that, in general, that tool is not optimal in terms...
Persistent link: https://www.econbiz.de/10011117821
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Minimal spanning tree problem in stock networks analysis: An efficient algorithm
Djauhari, Maman Abdurachman; Gan, Siew Lee - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 9, pp. 2226-2234
Since the last decade, minimal spanning trees (MSTs) have become one of the main streams in econophysics to filter the important information contained, for example, in stock networks. The standard practice to find an MST is by using Kruskal’s algorithm. However, it becomes slower and slower...
Persistent link: https://www.econbiz.de/10010742343
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