Spatial Dependence and Data-Driven Networks of International Banks Article Swipe
Ben R. Craig
,
Martín Saldías
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.26509/frbc-wp-201627
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.26509/frbc-wp-201627
This paper computes data-driven correlation networks based on the stock returns of international banks and conducts a comprehensive analysis of their topological properties. We first apply spatial-dependence methods to filter the effects of strong common factors and a thresholding procedure to select the significant bilateral correlations. The analysis of topological characteristics of the resulting correlation networks shows many common features that have been documented in the recent literature but were obtained with private information on banks' exposures. Our analysis validates these market-based adjacency matrices as inputs for the spatio-temporal analysis of shocks in the banking system.
Related Topics
Concepts
Adjacency list
Thresholding
Adjacency matrix
Topological data analysis
Spatial correlation
Correlation
Stock (firearms)
Computer science
Stock market
Data mining
Filter (signal processing)
Econometrics
Topology (electrical circuits)
Mathematics
Geography
Artificial intelligence
Algorithm
Theoretical computer science
Telecommunications
Combinatorics
Computer vision
Archaeology
Graph
Image (mathematics)
Geometry
Context (archaeology)
Metadata
- Type
- paratext
- Language
- en
- Landing Page
- https://doi.org/10.26509/frbc-wp-201627
- https://www.clevelandfed.org/-/media/project/clevelandfedtenant/clevelandfedsite/publications/working-papers/2016/wp-1627-spatial-networks.pdf
- OA Status
- bronze
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4307447965
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4307447965Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.26509/frbc-wp-201627Digital Object Identifier
- Title
-
Spatial Dependence and Data-Driven Networks of International BanksWork title
- Type
-
paratextOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-12-02Full publication date if available
- Authors
-
Ben R. Craig, Martín SaldíasList of authors in order
- Landing page
-
https://doi.org/10.26509/frbc-wp-201627Publisher landing page
- PDF URL
-
https://www.clevelandfed.org/-/media/project/clevelandfedtenant/clevelandfedsite/publications/working-papers/2016/wp-1627-spatial-networks.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://www.clevelandfed.org/-/media/project/clevelandfedtenant/clevelandfedsite/publications/working-papers/2016/wp-1627-spatial-networks.pdfDirect OA link when available
- Concepts
-
Adjacency list, Thresholding, Adjacency matrix, Topological data analysis, Spatial correlation, Correlation, Stock (firearms), Computer science, Stock market, Data mining, Filter (signal processing), Econometrics, Topology (electrical circuits), Mathematics, Geography, Artificial intelligence, Algorithm, Theoretical computer science, Telecommunications, Combinatorics, Computer vision, Archaeology, Graph, Image (mathematics), Geometry, Context (archaeology)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.stock | 9 |
| abstract_inverted_index.their | 20 |
| abstract_inverted_index.these | 80 |
| abstract_inverted_index.banks' | 75 |
| abstract_inverted_index.common | 34, 58 |
| abstract_inverted_index.filter | 29 |
| abstract_inverted_index.inputs | 85 |
| abstract_inverted_index.recent | 66 |
| abstract_inverted_index.select | 41 |
| abstract_inverted_index.shocks | 91 |
| abstract_inverted_index.strong | 33 |
| abstract_inverted_index.banking | 94 |
| abstract_inverted_index.effects | 31 |
| abstract_inverted_index.factors | 35 |
| abstract_inverted_index.methods | 27 |
| abstract_inverted_index.private | 72 |
| abstract_inverted_index.returns | 10 |
| abstract_inverted_index.system. | 95 |
| abstract_inverted_index.analysis | 18, 47, 78, 89 |
| abstract_inverted_index.computes | 2 |
| abstract_inverted_index.conducts | 15 |
| abstract_inverted_index.features | 59 |
| abstract_inverted_index.matrices | 83 |
| abstract_inverted_index.networks | 5, 55 |
| abstract_inverted_index.obtained | 70 |
| abstract_inverted_index.adjacency | 82 |
| abstract_inverted_index.bilateral | 44 |
| abstract_inverted_index.procedure | 39 |
| abstract_inverted_index.resulting | 53 |
| abstract_inverted_index.validates | 79 |
| abstract_inverted_index.documented | 63 |
| abstract_inverted_index.exposures. | 76 |
| abstract_inverted_index.literature | 67 |
| abstract_inverted_index.correlation | 4, 54 |
| abstract_inverted_index.data-driven | 3 |
| abstract_inverted_index.information | 73 |
| abstract_inverted_index.properties. | 22 |
| abstract_inverted_index.significant | 43 |
| abstract_inverted_index.topological | 21, 49 |
| abstract_inverted_index.market-based | 81 |
| abstract_inverted_index.thresholding | 38 |
| abstract_inverted_index.comprehensive | 17 |
| abstract_inverted_index.correlations. | 45 |
| abstract_inverted_index.international | 12 |
| abstract_inverted_index.characteristics | 50 |
| abstract_inverted_index.spatio-temporal | 88 |
| abstract_inverted_index.spatial-dependence | 26 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile |