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Dynamic network DEA and SFA models for accounting and financial indicators with an analysis of super-efficiency in stochastic frontiers: An efficiency comparison in OECD banking

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  • Wanke, Peter
  • Tsionas, Mike G.
  • Chen, Zhongfei
  • Moreira Antunes, Jorge Junio

Abstract

This paper presents an assessment of 124 OECD banks during 2004–2013 in light of relevant accounting and financial indicators that reflect banking production process and performance. Novel DEA and SFA Dynamic Network Super-efficiency models are developed to handle the underlying relationships among major accounting and financial indicators. Additionally, we develop a novel super-efficiency concept for SFA to compare DEA and SFA on common grounds to the extent possible. Firstly, a relational model encompassing major profit sheet indicators, balance sheet indicators, and net income is presented under a dynamic network structure for both models under the non-parametric and parametric specifications. Subsequently, the dynamic effect of carry-over indicators is incorporated into them, so that efficiency scores can be properly computed for these three sub-structures. Differences in scores and ranks are explored by bootstrapped regressions. It reveals that results generated from the proposed models interact differently with the socio-economic and business-related variables.

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  • Wanke, Peter & Tsionas, Mike G. & Chen, Zhongfei & Moreira Antunes, Jorge Junio, 2020. "Dynamic network DEA and SFA models for accounting and financial indicators with an analysis of super-efficiency in stochastic frontiers: An efficiency comparison in OECD banking," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 456-468.
    • Handle: RePEc:eee:reveco:v:69:y:2020:i:c:p:456-468
    DOI: 10.1016/j.iref.2020.06.002
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