EconPapers    
Economics at your fingertips  
 

A principal–agent approach for estimating firm efficiency: Revealing bank managerial behavior

Levent Kutlu, Emmanuel Mamatzakis and Mike G. Tsionas

Journal of International Financial Markets, Institutions and Money, 2022, vol. 79, issue C

Abstract: We consider agency-theory-based structural and reduced form models of bank performance. In the structural models, we take into account the managerial decision-making processes, and reveal underlying managerial efforts and thereby managerial behavior. In an empirical application, we estimate performance of Eurozone banks using our novel structural and reduced form approaches by Markov Chain Monte Carlo techniques. Our findings show, for the first time, that bank underperformance persists in the Eurozone whereas considerable variability across Member States exists. Our agency-theory-based structural modeling would favor cooperation of all interested parties and towards higher financial integration.

Keywords: Banking; Competition; Bayesian estimation; Governance; Moral hazard; Sources of efficiency (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1042443122000592
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:intfin:v:79:y:2022:i:c:s1042443122000592

DOI: 10.1016/j.intfin.2022.101576

Access Statistics for this article

Journal of International Financial Markets, Institutions and Money is currently edited by I. Mathur and C. J. Neely

More articles in Journal of International Financial Markets, Institutions and Money from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-23
Handle: RePEc:eee:intfin:v:79:y:2022:i:c:s1042443122000592