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Review of Quantitative Finance and Accounting

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01-01-2016 | Original Research

Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks

Authors: George E. Halkos, Roman Matousek, Nickolaos G. Tzeremes

Published in: Review of Quantitative Finance and Accounting | Issue 1/2016

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Abstract

This study focuses on bank mergers and acquisitions (M&As) and applies a DEA based procedure that allows us to pre-evaluate technical efficiency gains from possible M&As in the Japanese regional banking sector. This approach provides a strategic tool for policy-makers to pre-evaluate possible M&As decisions based on performance criteria that are measured in terms of technical efficiency gains. The results clearly show that possible M&As formed by the smaller banks performed better compared with the possible M&As formed by the larger banks. Moreover, our findings imply that small regional banks will have possible efficiency gains when they merge with neighboring banks, whereas larger banks appear to have efficiency gains from merging with distant banks.

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We consider here only the VRS case; however the constant returns to scale (CRS) case can be obtained by dropping the constraint in (3) requiring \(\gamma s\)to sum to one (Charnes et al. 1978).

The bootstrap approach is the only practical method for estimating confidence intervals, for correcting the bias of DEA estimator, for hypothesis testing and for sub-sampling techniques (Simar and Wilson 2011). However, Dyson and Shale (2010) suggest that the homogeneity assumption of efficiency across the input output space could be unrealistic.

For a DEA application using bootstrap techniques investigating banking efficiency and stock market performance see Hadad et al. (2011).

Since we are not using input (output) prices we assume that the inputs and outputs used across the banks are homogeneous in nature and generally the homogeneity assumption between banks holds (Dyson et al. 2001). However, when prices of inputs (outputs) are used then the homogeneity assumption can be violated and alternative DEA formulations must be applied (Sahoo and Tone 2013).

For the case of Taiwanese banks, Yu and Van Luu (2003) suggest that if the banks want to obtain efficiency gains from scale economies, they should choose the subadditivity expansion path and therefore they need to merge with other banks, rather than to expand their network by opening more branches.

Since we are using panel data for the period 2000–2008, we define all the possible PMAs based on the findings of the year 2000 (base year in our case). The number of possible pairs can be found as: \(n!/\left( {n - k} \right)!k!\).

In such a way we are able to compare the PMA under examination to the other incumbents (banks) competing in the same market (Evanoff and Örs 2008) but at the same time with the banks that form the specific PMA, obtain therefore robust results.

However, it must be mentioned that there is still a weakness regarding the application of a nonparametric regression in a second stage analysis. That is the assumption of a 'separability' condition between the external variable (the distance in our case) and the estimated efficiencies (Simar and Wilson 2011).

We will explain later how we calculate regional distances between the merged entities.

See Barros et al. (2012) for a discussion on the bank production process.

For the calculation of the DEA estimates we have used the software package FEAR (Wilson 2008).

We also assume that an PMA can only occur between two banks. Our procedure can also be applied for an PMA formed from more than two banks but in real life the merger of three banks in the same period is not a usual phenomenon.

Due to the enormous quantity of results obtained it is not possible to present them all in this paper. All analytical results obtained are available upon request.

In our case the DTEG limit is objective and is set to zero since according to Cooper et al. (2007) only a DTEG value >0 indicates efficiency gains.

According to Bivand et al. (2008, p. 237) areal entities are referred to polygon entities with defined boundaries. In our case these boundaries are not defined by the researcher but instead they are administrative boundaries.

In order to compute the local linear estimator we have used the ‘np’ software package introduced by Hayfield and Racine (2008).

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Title: Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks
Authors: George E. Halkos
Roman Matousek
Nickolaos G. Tzeremes
Publication date: 01-01-2016
Publisher: Springer US
Published in: Review of Quantitative Finance and Accounting / Issue 1/2016
Print ISSN: 0924-865X
Electronic ISSN: 1573-7179
DOI: https://doi.org/10.1007/s11156-014-0461-5

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