|
|
|
|
| LEADER |
02773cam a2200505 4500 |
| 001 |
0-889296065 |
| 003 |
DE-627 |
| 005 |
20180316094615.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
170606s2017 gw |||||o 00| ||eng c |
| 020 |
|
|
|a 9789289927925
|9 978-92-899-2792-5
|
| 024 |
7 |
|
|a 10.2866/386225
|2 doi
|
| 024 |
7 |
|
|a 10419/175694
|2 hdl
|
| 035 |
|
|
|a (DE-627)889296065
|
| 035 |
|
|
|a (DE-576)9889296063
|
| 035 |
|
|
|a (DE-599)GBV889296065
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rda
|
| 041 |
|
|
|a eng
|
| 044 |
|
|
|c XA-DE
|c XP
|
| 084 |
|
|
|a C63
|a G21
|a L21
|a L25
|2 JEL
|
| 100 |
1 |
|
|a Farnè, Matteo
|e VerfasserIn
|4 aut
|
| 245 |
1 |
0 |
|a Business models of the banks in the euro area
|c Matteo Farnè, Angelos Vouldis
|
| 264 |
|
1 |
|a Frankfurt am Main, Germany
|b European Central Bank
|c [2017]
|
| 300 |
|
|
|a 1 Online-Ressource (circa 47 Seiten)
|b Illustrationen
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
| 490 |
1 |
|
|a Working paper series / European Central Bank
|v no 2070 (May 2017)
|
| 520 |
|
|
|a The paper identifies the business models followed by banks in the euro area, utilising a proprietary dataset collected in the context of the supervisory reporting of the Single Supervisory Mechanism. The concept of a 'business model' has been neglected by economic theory and is defined here with respect to the set of activities performed by banks. We adopt a clustering methodology to provide evidence for the existence of distinct business models. Clustering is combined with dimensionality reduction optimally, given the nature of our dataset which features a large number of dimensions for each bank ('fat' data). The method produces a level and a contrast factor which are intuitive in the economic sense. Four business models are identified alongside a set of 'outlier' banks that follow unique business models. The risk and performance indicators of each cluster are examined and evidence is provided that they follow distinct statistical distributions.
|
| 655 |
|
4 |
|a Arbeitspapier
|5 DE-206
|
| 655 |
|
4 |
|a Online-Publikation
|5 DE-206
|
| 700 |
1 |
|
|a Vouldis, Angelos
|e VerfasserIn
|4 aut
|
| 810 |
2 |
|
|a Europäische Zentralbank
|t Working paper series
|v no 2070 (May 2017)
|9 207000
|w (DE-627)372370322
|w (DE-576)108090442
|w (DE-600)2123559-4
|x 1725-2806
|
| 856 |
4 |
0 |
|u http://hdl.handle.net/10419/175694
|x Resolving-System
|z kostenfrei
|3 Volltext
|
| 856 |
4 |
0 |
|u https://dx.doi.org/10.2866/386225
|x Resolving-System
|3 Volltext
|
| 951 |
|
|
|a BO
|
| 020 |
|
|
|a 9289927925
|
| 856 |
4 |
0 |
|u http://hdl.handle.net/10419/175694
|9 LFER
|
| 852 |
|
|
|a LFER
|z 2019-05-07T00:00:00Z
|
| 970 |
|
|
|c OD
|
| 971 |
|
|
|c EBOOK
|
| 972 |
|
|
|c EBOOK
|
| 973 |
|
|
|c EB
|
| 935 |
|
|
|a lfer
|
| 980 |
|
|
|a 889296065
|b 0
|k 889296065
|o 9889296063
|c lfer
|
SOLR
| _version_ |
1757991954033934336 |
| access_facet |
Electronic Resources |
| author |
Farnè, Matteo, Vouldis, Angelos |
| author_facet |
Farnè, Matteo, Vouldis, Angelos |
| author_role |
aut, aut |
| author_sort |
Farnè, Matteo |
| author_variant |
m f mf, a v av |
| callnumber-sort |
|
| collection |
lfer |
| contents |
The paper identifies the business models followed by banks in the euro area, utilising a proprietary dataset collected in the context of the supervisory reporting of the Single Supervisory Mechanism. The concept of a 'business model' has been neglected by economic theory and is defined here with respect to the set of activities performed by banks. We adopt a clustering methodology to provide evidence for the existence of distinct business models. Clustering is combined with dimensionality reduction optimally, given the nature of our dataset which features a large number of dimensions for each bank ('fat' data). The method produces a level and a contrast factor which are intuitive in the economic sense. Four business models are identified alongside a set of 'outlier' banks that follow unique business models. The risk and performance indicators of each cluster are examined and evidence is provided that they follow distinct statistical distributions. |
| ctrlnum |
(DE-627)889296065, (DE-576)9889296063, (DE-599)GBV889296065 |
| doi_str_mv |
10.2866/386225 |
| facet_avail |
Online, Free |
| finc_class_facet |
not assigned |
| format |
eBook |
| format_access_txtF_mv |
Book, E-Book |
| format_de105 |
Ebook |
| format_de14 |
Book, E-Book |
| format_de15 |
Book, E-Book |
| format_del152 |
Buch |
| format_detail_txtF_mv |
text-online-monograph-independent |
| format_dezi4 |
e-Book |
| format_finc |
Book, E-Book |
| format_legacy |
ElectronicBook |
| format_legacy_nrw |
Book, E-Book |
| format_nrw |
Book, E-Book |
| format_strict_txtF_mv |
E-Book |
| genre |
Arbeitspapier DE-206, Online-Publikation DE-206 |
| genre_facet |
Arbeitspapier, Online-Publikation |
| geogr_code |
not assigned |
| geogr_code_person |
not assigned |
| hierarchy_parent_id |
0-372370322 |
| hierarchy_parent_title |
Europäische Zentralbank: Working paper series |
| hierarchy_sequence |
207000 |
| hierarchy_top_id |
0-372370322 |
| hierarchy_top_title |
Europäische Zentralbank: Working paper series |
| id |
0-889296065 |
| illustrated |
Not Illustrated |
| imprint |
Frankfurt am Main, Germany, European Central Bank, [2017] |
| imprint_str_mv |
Frankfurt am Main, Germany: European Central Bank, [2017] |
| institution |
DE-D117, DE-105, LFER, DE-Ch1, DE-15, DE-14, DE-L242, DE-Zwi2 |
| is_hierarchy_id |
0-889296065 |
| is_hierarchy_title |
Business models of the banks in the euro area |
| isbn |
9789289927925, 9289927925 |
| isil_str_mv |
LFER |
| issn_isn_mv |
1725-2806 |
| kxp_id_str |
889296065 |
| language |
English |
| last_indexed |
2023-02-16T12:49:32.945Z |
| marc024a_ct_mv |
10.2866/386225, 10419/175694 |
| match_str |
farne2017businessmodelsofthebanksintheeuroarea |
| mega_collection |
Verbunddaten SWB, Lizenzfreie Online-Ressourcen |
| misc_de105 |
EBOOK |
| multipart_link |
108090442 |
| multipart_part |
(108090442)no 2070 (May 2017) |
| physical |
1 Online-Ressource (circa 47 Seiten); Illustrationen |
| publishDate |
[2017] |
| publishDateSort |
2017 |
| publishPlace |
Frankfurt am Main, Germany |
| publisher |
European Central Bank |
| record_format |
marcfinc |
| record_id |
9889296063 |
| recordtype |
marcfinc |
| rvk_facet |
No subject assigned |
| series |
Europäische Zentralbank, Working paper series, no 2070 (May 2017) |
| series2 |
Working paper series / European Central Bank ; no 2070 (May 2017) |
| source_id |
0 |
| spelling |
Farnè, Matteo VerfasserIn aut, Business models of the banks in the euro area Matteo Farnè, Angelos Vouldis, Frankfurt am Main, Germany European Central Bank [2017], 1 Online-Ressource (circa 47 Seiten) Illustrationen, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Working paper series / European Central Bank no 2070 (May 2017), The paper identifies the business models followed by banks in the euro area, utilising a proprietary dataset collected in the context of the supervisory reporting of the Single Supervisory Mechanism. The concept of a 'business model' has been neglected by economic theory and is defined here with respect to the set of activities performed by banks. We adopt a clustering methodology to provide evidence for the existence of distinct business models. Clustering is combined with dimensionality reduction optimally, given the nature of our dataset which features a large number of dimensions for each bank ('fat' data). The method produces a level and a contrast factor which are intuitive in the economic sense. Four business models are identified alongside a set of 'outlier' banks that follow unique business models. The risk and performance indicators of each cluster are examined and evidence is provided that they follow distinct statistical distributions., Arbeitspapier DE-206, Online-Publikation DE-206, Vouldis, Angelos VerfasserIn aut, Europäische Zentralbank Working paper series no 2070 (May 2017) 207000 (DE-627)372370322 (DE-576)108090442 (DE-600)2123559-4 1725-2806, http://hdl.handle.net/10419/175694 Resolving-System kostenfrei Volltext, https://dx.doi.org/10.2866/386225 Resolving-System Volltext, http://hdl.handle.net/10419/175694 LFER, LFER 2019-05-07T00:00:00Z |
| spellingShingle |
Farnè, Matteo, Vouldis, Angelos, Business models of the banks in the euro area, Europäische Zentralbank, Working paper series, no 2070 (May 2017), The paper identifies the business models followed by banks in the euro area, utilising a proprietary dataset collected in the context of the supervisory reporting of the Single Supervisory Mechanism. The concept of a 'business model' has been neglected by economic theory and is defined here with respect to the set of activities performed by banks. We adopt a clustering methodology to provide evidence for the existence of distinct business models. Clustering is combined with dimensionality reduction optimally, given the nature of our dataset which features a large number of dimensions for each bank ('fat' data). The method produces a level and a contrast factor which are intuitive in the economic sense. Four business models are identified alongside a set of 'outlier' banks that follow unique business models. The risk and performance indicators of each cluster are examined and evidence is provided that they follow distinct statistical distributions., Arbeitspapier, Online-Publikation |
| swb_id_str |
9889296063 |
| title |
Business models of the banks in the euro area |
| title_auth |
Business models of the banks in the euro area |
| title_full |
Business models of the banks in the euro area Matteo Farnè, Angelos Vouldis |
| title_fullStr |
Business models of the banks in the euro area Matteo Farnè, Angelos Vouldis |
| title_full_unstemmed |
Business models of the banks in the euro area Matteo Farnè, Angelos Vouldis |
| title_in_hierarchy |
no 2070 (May 2017). Business models of the banks in the euro area ([2017]) |
| title_short |
Business models of the banks in the euro area |
| title_sort |
business models of the banks in the euro area |
| topic |
Arbeitspapier, Online-Publikation |
| topic_facet |
Arbeitspapier, Online-Publikation |
| url |
http://hdl.handle.net/10419/175694, https://dx.doi.org/10.2866/386225 |
