Header

UZH-Logo

Maintenance Infos

"Know the Competitor, Know Thyself?" First Evidence from Banks in Emerging Europe


Ongena, Steven; De Haas, Ralph; Lu, Liping (2013). "Know the Competitor, Know Thyself?" First Evidence from Banks in Emerging Europe. London: VoxEU.org.

Abstract

How best to measure banking competition? The empirical banking literature typically resorts to well-known concentration measures such as the Herfindahl–Hirschman index, or performance indicators like the Lerner or Boone indexes. While these have their merits, none of them explicitly takes into account that banks may actively compete with some banks but not with others. This chapter presents micro evidence on the determinants of such dyadic banking competition, and argues that this concept can advance our understanding of how banking competition affects firms’ access to credit.

Abstract

How best to measure banking competition? The empirical banking literature typically resorts to well-known concentration measures such as the Herfindahl–Hirschman index, or performance indicators like the Lerner or Boone indexes. While these have their merits, none of them explicitly takes into account that banks may actively compete with some banks but not with others. This chapter presents micro evidence on the determinants of such dyadic banking competition, and argues that this concept can advance our understanding of how banking competition affects firms’ access to credit.

Statistics

Additional indexing

Item Type:Scientific Publication in Electronic Form
Communities & Collections:03 Faculty of Economics > Department of Banking and Finance
Dewey Decimal Classification:330 Economics
Editors:Ongena Steven, De Haas Ralph, Beck Thorsten
Language:English
Date:2013
Deposited On:21 Feb 2014 11:20
Last Modified:05 Apr 2016 17:39
Publisher:VoxEU.org
Official URL:http://www.voxeu.org/content/understanding-banks-emerging-markets-observing-asking-or-experimenting
Other Identification Number:merlin-id:8634

Download

Full text not available from this repository.

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations