The efficiency of banks and stock performance: Evidence from Saudi Arabia

Mohammad Alsharif and David McMillan

Cogent Economics & Finance, 2021, vol. 9, issue 1, 1953726

Abstract: The aim of this study is to extend the literature by extensively investigating the efficiency of banks in Saudi Arabia and examining its relationship with stock performance through relying on six measures of efficiency (three price efficiencies and three technical efficiencies). This study employs the data envelopment analysis (DEA) on all listed Saudi commercial banks over the period 2006–2018 ensuring the robustness of the results, and the multiple-regression analysis method is used to empirically test the impact of the efficiency changes on bank stock returns. The results indicate that Saudi banks are more technically efficient, and their price efficiencies are more volatile. Furthermore, changes in bank efficiency are positively related to stock performance; however, these positive relationships are only statistically significant with the changes in profit and scale efficiency measures implying that investors pay much attention to the improvement in bank profitability and future dividends.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/23322039.2021.1953726 (text/html)
Access to full text is restricted to subscribers.

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:taf:oaefxx:v:9:y:2021:i:1:p:1953726

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/OAEF20

DOI: 10.1080/23322039.2021.1953726

Access Statistics for this article

Cogent Economics & Finance is currently edited by Steve Cook, Caroline Elliott, David McMillan, Duncan Watson and Xibin Zhang

More articles in Cogent Economics & Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().