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Performance Comparison between Foreign Banks and Domestic Banks for Asian Emerging Markets-Correcting Selection Bias by Matching Methods

Author

Listed:
  • Yuan Chang

    (Department of Business Education, National Changhua University of Education, Taiwan)

  • Chung-Hua Shen

    (Department of Finance, National Taiwan University, Taiwan)

  • Pei-Fang Chang

    (Department of Banking and Finance, Tamkang University, Taiwan)

Abstract

Based on the banking data of six Asian emerging market countries from 2007 to 2008, this paper analyzes the differences in financial performance between foreign banks and domestic banks. By applying Rubin's (1973, 1977) matching theory and the propensity score matching of Rosenbaum and Rubin (1983, 1985a, b), four matching methods, namely, the Nearest, Caliper, Mahala and Mahala Caliper, are used to match the financial characteristics of the two groups of banks in order to correct for sample selection bias. The empirical results show that, before sample matching, foreign banks outperform domestic banks in terms of their capital adequacy and underperform them on asset quality. They also do not differ from each other in regard to management ability, earning ability and liquidity risks. After sample matching, most of the evidence suggests that foreign banks exhibit few significant differences from domestic banks based on five CAMEL indicators. The principal outcomes are robust to changes in the definition of foreign banks and to using Heckman's (1979) two-stage estimation to correct for sample selection bias.

Suggested Citation

  • Yuan Chang & Chung-Hua Shen & Pei-Fang Chang, 2012. "Performance Comparison between Foreign Banks and Domestic Banks for Asian Emerging Markets-Correcting Selection Bias by Matching Methods," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 8(1), pages 59-100, January.
  • Handle: RePEc:jec:journl:v:8:y:2012:i:1:p:59-100
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    More about this item

    Keywords

    foreign bank; matching theory; propensity score matching; selection bias; CAMEL;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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