Luận án Chiến lược đa dạng hóa, rủi ro và hiệu quả hoạt động ngân hàng: Bằng chứng thực nghiệm tại Việt Nam

Purpose – This dissertation investigates the impacts of asset, funding, and income

diversification strategies and their combinations on the banking system’s

performance and risk in Vietnam, especially during the financial crisis. The

research also evaluates the role of ownership structure upon diversification-risk

and performance nexus.

Methodology – Using panel data collected from 34 Vietnamese commercial banks

from 2005 to 2019, with modern econometrics technique – two-step system GMM

estimator method described by Arellano and Bover (1995), are employed to

achieve research objectives. The data was collected manually from the bank's

audited financial statements, obtained from reliable sources.

Findings – The empirical results indicate that, in general, diversification practices

in banking sectors are effective in improving banks’ risk-return profile, especially

during the financial crisis. However, using them in combinations is only effective

for income and funding diversifications. These results are robust regarding the use

of alternative measures of diversification level. The results also indicate that this

impact varies across different types of bank ownership: State-owned banks,

domestic private banks, and foreign banks.

Contribution – This dissertation fills the gap in empirical literature by

systematically examining the nexus between diversification strategies, bank risk,

and performance, conditioned upon financial crisis and ownership structure. In this

sense, the findings of this dissertation provide bank managers and regulators

important information about the diversification strategy effectiveness to maintain

the stability of the banking system and financial market.

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Tóm tắt nội dung tài liệu: Luận án Chiến lược đa dạng hóa, rủi ro và hiệu quả hoạt động ngân hàng: Bằng chứng thực nghiệm tại Việt Nam

Luận án Chiến lược đa dạng hóa, rủi ro và hiệu quả hoạt động ngân hàng: Bằng chứng thực nghiệm tại Việt Nam
MINISTRY OF EDUCATION AND TRAINING 
UNIVERSITY OF ECONOMICS HO CHI MINH CITY 
--------------------------- 
PHAM KHANH DUY 
DIVERSIFICATION STRATEGIES, 
BANK RISK AND PERFORMANCE: 
EMPIRICAL EVIDENCE FROM VIETNAM 
 Major: Finance and Banking 
 Code: 9340201 
DOCTORAL DISSERTATION 
 ACADEMIC ADVISOR: 
 Assoc. Professor Dr. TRUONG THI HONG 
Ho Chi Minh City - 2021
i 
STATEMENT OF AUTHENTICATION 
I solemnly declare that this dissertation, “Diversification strategies, bank risk and 
performance: Empirical evidence from Vietnam”, is my own research. 
Except for the references cited in this dissertation, I hereby guarantee that the 
whole or any part of this dissertation has never been published or used to obtain a 
degree elsewhere. 
Any products/studies of other authors that have been used in this dissertation were 
properly cited. 
This dissertation has never been submitted to any university or institution. 
Ho Chi Minh City, 2021 
ii 
ACKNOWLEDGEMENT 
In completing this dissertation, I would like to express my gratitude to the 
University of Economics Ho Chi Minh City (UEH), which provides an ideal 
environment and financial support for my research journey. At UEH, I have gained 
valuable academic knowledge and research skills as a lecturer and as a Ph.D. 
candidate. 
My utmost appreciation is to my academic supervisor, Assoc. Prof. Dr. Truong 
Thi Hong, for dedicated, whole-heartedly coaching and guidance throughout the 
completion of my thesis. 
My gratitude also goes to my dearest colleagues at the School of Banking and the 
School of UEH Graduate for their continuously dedicated support, contributions, 
and guidance, for me in writing this dissertation. 
I want to thank Prof. Vo Xuan Vinh for the preliminary research ideas and 
suggestions. My special thanks to Dr. Nguyen Huu Huan, Dr. Ngo Minh Vu, Dr. 
Phan Chung Thuy, Dr. Hoang Hai Yen, and Dr. Ngo Minh Hai for their best efforts 
in helping me with various challenges during my Ph.D. candidature. Saying thank 
you is just simply not enough for what they have offered me. 
Finally and most importantly, my beloved family and best friends have always 
been by my sides, with unconditional love, encouragement, and endless support. 
Without them, this dissertation would have never been written. Thank you all for 
the most profound appreciation. 
Ho Chi Minh City, October 2021 
Pham Khanh Duy 
iii 
TABLE OF CONTENTS 
STATEMENT OF AUTHENTICATION ........................................................... i 
ACKNOWLEDGEMENT ................................................................................... ii 
TABLE OF CONTENTS .................................................................................... iii 
ABBREVIATION LIST .................................................................................... vii 
LIST OF TABLES ............................................................................................ viii 
LIST OF FIGURES ............................................................................................ ix 
ABSTRACT .......................................................................................................... x 
TÓM TẮT ............................................................................................................ xi 
CHAPTER 1 INTRODUCTION ........................................................................ 1 
1.1. Research motivation ................................................................................. 1 
1.2. Research background ................................................................................ 8 
1.3. Research gap identification .................................................................... 11 
1.4. Research objectives ................................................................................ 12 
1.5. Research questions ................................................................................. 14 
1.6. The scope of research ............................................................................. 15 
1.7. Research procedure and methodology .................................................... 15 
1.8. Research contributions ........................................................................... 17 
1.9. Structure of the dissertation .................................................................... 19 
CHAPTER 2 LITERATURE REVIEW AND HYPOTHESES 
DEVELOPMENT .............................................................................................. 22 
iv 
2.1. Bank diversification definition .................................................................. 22 
2.2. Classification of bank diversification strategies ........................................ 24 
2.2.1. Asset diversification in the banking sector ......................................... 28 
2.2.2. Income diversification in the banking sector ...................................... 30 
2.2.3. Funding diversification in the banking sector .................................... 32 
2.3. Theories of bank diversification ................................................................ 35 
2.3.1. Theories of diversification .................................................................. 35 
2.3.2. Theories of bank diversification ......................................................... 40 
2.4. Concept and measurement of bank risk and performance ........................ 43 
2.4.1. Concept and measurement of bank risk .............................................. 43 
2.4.2. Concept and measurement of bank performance ............................... 46 
2.5. Theoretical overview of banking crisis ..................................................... 47 
2.6. The impact of diversification on bank risk and performance .................... 50 
Although the concern on the impact of diversification on banks' risks and 
performance is discussed in various articles, the conclusion of this topic is still 
unclear. ............................................................................................................. 50 
2.6.1. Asset diversification, bank risk, and performance ............................. 52 
2.6.2. Income diversification, bank risk, and performance .......................... 56 
2.6.3. Funding diversification, bank risk, and performance ......................... 60 
2.6.4. Combinations of diversification strategies ......................................... 61 
2.6.5. Bank diversification, risk and performance in the financial crisis ..... 62 
2.6.6. Role of ownership structure in the nexus between diversification, risk 
and performance ........................................................................................... 64 
2.7. Summary .................................................................................................... 67 
v 
CHAPTER 3 DATA AND METHODOLOGY ............................................... 68 
3.1. Data sample ............................................................................................... 68 
3.2. Construction of variables ........................................................................... 70 
3.2.1. Dependent variables – Bank risk and performance ............................ 70 
3.2.2. Key explanatory variables - Bank diversification measures ............... 72 
3.2.3. Control variables ................................................................................. 74 
3.2.5. The role of financial distress and bank ownership ............................. 76 
3.3. Econometric models .................................................................................. 79 
3.4. Robustness check....................................................................................... 83 
3.5. Conclusion ................................................................................................. 86 
CHAPTER 4 EMPIRICAL RESULTS AND DISCUSSION ....................... 87 
4.1. Descriptive statistics .................................................................................. 87 
4.2. Correlation matrix ..................................................................................... 89 
4.3. Empirical results ........................................................................................ 91 
4.3.1. Diversification strategies, bank’s risk and performance .................... 91 
4.3.2. Diversification strategy combination, bank risk and performance ... 102 
4.3.3. Diversification, bank risk and performance during the crisis ........... 105 
4.3.4. The role of bank ownership structure ............................................... 109 
4.4. Robustness check results ......................................................................... 117 
4.5. Conclusion ............................................................................................... 117 
CHAPTER 5 CONCLUSION ......................................................................... 118 
5.1. Summary of research findings ................................................................. 118 
5.2. Contributions ........................................................................................... 119 
vi 
5.3. Policy implications .................................................................................. 120 
5.4. Limitations ............................................................................................... 122 
LIST OF PUBLICATION .................................................................................... i 
REFERENCES ..................................................................................................... ii 
APPENDIX ......................................................................................................... xv 
vii 
ABBREVIATION LIST 
ASEAN Association of Southeast Asian Nations 
BSI The banking stability index 
CPI Consumer Price Index 
DEA Data envelopment analysis 
FOB Foreign-owned bank 
GDP Gross domestic product 
GMM Generalized Method of Moments 
HHI Herfindahl-Hirschman Index 
JPoD Joint Probability of Distress 
JSB Joint-stock bank 
NIM Net Interest Margin 
NPL Non-performing Loan 
PB Policy Bank 
POLS Pooled Ordinary Least Squared 
RBV Resources Based View 
SBV State Bank of Vietnam 
SGMM System Generalized Method of Moments 
SOB State-owned Bank 
US The United States of America 
WTO World Trade Organisation 
viii 
LIST OF TABLES 
Table 1.1: Descriptive number of banks in Vietnam, 2005-2019 .......................... 5 
Table 2.1: Summary of hypotheses associated with research questions .............. 66 
Table 3.1: Definition of Variables ....................................................................... 78 
Table 3.2: The expected sign of variables ............................................................ 79 
Table 3.3: Testing steps for the hypotheses associated with the research question
 ..................................................................................... ... t, but not weakened by many instruments.) 
Hansen test of overid. restrictions: chi2(14) = 17.46 Prob > chi2 = 0.232 
l 
Dynamic panel-data estimation, two-step system GMM 
------------------------------------------------------------------------------ 
Group variable: id Number of obs = 365 
Time variable : yr Number of groups = 33 
Number of instruments = 21 Obs per group: min = 6 
F(6, 32) = 24.78 avg = 11.06 
Prob > F = 0.000 max = 15 
------------------------------------------------------------------------------ 
 sdroa | Coef. Std. Err. t P>|t| [95% Conf. Interval] 
-------------+---------------------------------------------------------------- 
 astdiv | .0001664 .0033444 0.05 0.961 -.006646 .0069788 
 eta | .0147252 .0031916 4.61 0.000 .0082241 .0212263 
 lnasset | -.0006763 .0002373 -2.85 0.008 -.0011596 -.000193 
 llp | .0791803 .0357368 2.22 0.034 .0063869 .1519737 
 gdp | -.0291879 .0153491 -1.90 0.066 -.060453 .0020772 
 inf | .0048582 .0020795 2.34 0.026 .0006225 .009094 
 _cons | .0146057 .004595 3.18 0.003 .005246 .0239654 
------------------------------------------------------------------------------ 
Instruments for orthogonal deviations equation 
 Standard 
 FOD.(eta lnasset llp gdp inf) 
 GMM-type (missing=0, separate instruments for each period unless collapsed) 
 L(1/14).astdiv collapsed 
------------------------------------------------------------------------------ 
Arellano-Bond test for AR(1) in first differences: z = -1.46 Pr > z = 0.143 
Arellano-Bond test for AR(2) in first differences: z = 0.53 Pr > z = 0.593 
------------------------------------------------------------------------------ 
Sargan test of overid. restrictions: chi2(14) = 9.60 Prob > chi2 = 0.791 
 (Not robust, but not weakened by many instruments.) 
Hansen test of overid. restrictions: chi2(14) = 18.19 Prob > chi2 = 0.198 
 (Robust, but weakened by many instruments.) 
li 
Dynamic panel-data estimation, two-step system GMM 
------------------------------------------------------------------------------ 
Group variable: id Number of obs = 393 
Time variable : yr Number of groups = 34 
Number of instruments = 21 Obs per group: min = 6 
F(6, 33) = 151.27 avg = 11.56 
Prob > F = 0.000 max = 15 
------------------------------------------------------------------------------ 
 sdroa | Coef. Std. Err. t P>|t| [95% Conf. Interval] 
-------------+---------------------------------------------------------------- 
 incdiv | .0104691 .0023758 4.41 0.000 .0056354 .0153028 
 eta | .0174833 .004122 4.24 0.000 .0090971 .0258696 
 lnasset | -.0008753 .0002749 -3.18 0.003 -.0014346 -.0003159 
 llp | .0741405 .0354625 2.09 0.044 .0019915 .1462895 
 gdp | -.0309636 .0266183 -1.16 0.253 -.0851188 .0231917 
 inf | .0085212 .0020395 4.18 0.000 .0043719 .0126706 
 _cons | .0165253 .0059049 2.80 0.009 .0045117 .0285389 
------------------------------------------------------------------------------ 
Instruments for orthogonal deviations equation 
 Standard 
 FOD.(eta lnasset llp gdp inf) 
 GMM-type (missing=0, separate instruments for each period unless collapsed) 
 L(1/14).incdiv collapsed 
------------------------------------------------------------------------------ 
Arellano-Bond test for AR(1) in first differences: z = -1.75 Pr > z = 0.079 
Arellano-Bond test for AR(2) in first differences: z = 0.42 Pr > z = 0.676 
------------------------------------------------------------------------------ 
Sargan test of overid. restrictions: chi2(14) = 9.61 Prob > chi2 = 0.790 
 (Not robust, but not weakened by many instruments.) 
Hansen test of overid. restrictions: chi2(14) = 18.77 Prob > chi2 = 0.174 
 (Robust, but weakened by many instruments.) 
lii 
Dynamic panel-data estimation, two-step system GMM 
------------------------------------------------------------------------------ 
Group variable: id Number of obs = 393 
Time variable : yr Number of groups = 34 
Number of instruments = 21 Obs per group: min = 6 
F(6, 33) = 209.46 avg = 11.56 
Prob > F = 0.000 max = 15 
------------------------------------------------------------------------------ 
 sdroa | Coef. Std. Err. t P>|t| [95% Conf. Interval] 
-------------+---------------------------------------------------------------- 
 fundiv | .0022956 .0024996 0.92 0.365 -.0027898 .0073811 
 eta | .0209437 .0036511 5.74 0.000 .0135156 .0283719 
 lnasset | -.0007705 .0003173 -2.43 0.021 -.0014161 -.0001248 
 llp | .1061839 .0356864 2.98 0.005 .0335793 .1787884 
 gdp | .0027413 .0217793 0.13 0.901 -.041569 .0470516 
 inf | .0029437 .0023557 1.25 0.220 -.0018491 .0077365 
 _cons | .0128031 .0072349 1.77 0.086 -.0019165 .0275227 
------------------------------------------------------------------------------ 
Instruments for orthogonal deviations equation 
 Standard 
 FOD.(eta lnasset llp gdp inf) 
 GMM-type (missing=0, separate instruments for each period unless collapsed) 
 L(1/14).incdiv collapsed 
------------------------------------------------------------------------------ 
Arellano-Bond test for AR(1) in first differences: z = -1.61 Pr > z = 0.108 
Arellano-Bond test for AR(2) in first differences: z = 0.63 Pr > z = 0.526 
------------------------------------------------------------------------------ 
Sargan test of overid. restrictions: chi2(14) = 19.77 Prob > chi2 = 0.138 
 (Not robust, but not weakened by many instruments.) 
Hansen test of overid. restrictions: chi2(14) = 17.60 Prob > chi2 = 0.226 
 (Robust, but weakened by many instruments.) 
liii 
Dynamic panel-data estimation, two-step system GMM 
------------------------------------------------------------------------------ 
Group variable: id Number of obs = 365 
Time variable : yr Number of groups = 33 
Number of instruments = 21 Obs per group: min = 6 
F(6, 32) = 42.24 avg = 11.06 
Prob > F = 0.000 max = 15 
------------------------------------------------------------------------------ 
 zscore | Coef. Std. Err. t P>|t| [95% Conf. Interval] 
-------------+---------------------------------------------------------------- 
 astdiv | 4.011716 2.858082 1.40 0.170 -1.810007 9.833438 
 eta | 81.13133 11.84624 6.85 0.000 57.00132 105.2613 
 lnasset | .4110081 .4300376 0.96 0.346 -.4649499 1.286966 
 llp | 28.04954 46.74314 0.60 0.553 -67.16313 123.2622 
 gdp | -35.14264 23.42719 -1.50 0.143 -82.86226 12.57698 
 inf | 13.373 2.61239 5.12 0.000 8.05173 18.69426 
 _cons | -.8199364 8.261271 -0.10 0.922 -17.6476 16.00772 
------------------------------------------------------------------------------ 
Instruments for orthogonal deviations equation 
 Standard 
 FOD.(eta lnasset llp gdp inf) 
 GMM-type (missing=0, separate instruments for each period unless collapsed) 
 L(1/14).astdiv collapsed 
------------------------------------------------------------------------------ 
Arellano-Bond test for AR(1) in first differences: z = -1.47 Pr > z = 0.141 
Arellano-Bond test for AR(2) in first differences: z = -0.24 Pr > z = 0.813 
------------------------------------------------------------------------------ 
Sargan test of overid. restrictions: chi2(14) = 66.90 Prob > chi2 = 0.000 
 (Not robust, but not weakened by many instruments.) 
Hansen test of overid. restrictions: chi2(14) = 16.95 Prob > chi2 = 0.259 
 (Robust, but weakened by many instruments.) 
liv 
Dynamic panel-data estimation, two-step system GMM 
------------------------------------------------------------------------------ 
Group variable: id Number of obs = 393 
Time variable : yr Number of groups = 34 
Number of instruments = 21 Obs per group: min = 6 
F(6, 33) = 35.45 avg = 11.56 
Prob > F = 0.000 max = 15 
------------------------------------------------------------------------------ 
 zscore | Coef. Std. Err. t P>|t| [95% Conf. Interval] 
-------------+---------------------------------------------------------------- 
 incdiv | 6.825339 1.47893 4.62 0.000 3.816434 9.834245 
 eta | 69.86351 12.09566 5.78 0.000 45.2547 94.47232 
 lnasset | -.449885 .4031173 -1.12 0.272 -1.270033 .3702633 
 llp | -11.83756 59.1028 -0.20 0.842 -132.0831 108.408 
 gdp | -46.40584 21.96854 -2.11 0.042 -91.10116 -1.710515 
 inf | 13.9932 3.573093 3.92 0.000 6.723683 21.26271 
 _cons | 18.46875 7.374461 2.50 0.017 3.465293 33.4722 
------------------------------------------------------------------------------ 
Instruments for orthogonal deviations equation 
 Standard 
 FOD.(eta lnasset llp gdp inf) 
 GMM-type (missing=0, separate instruments for each period unless collapsed) 
 L(1/14).incdiv collapsed 
------------------------------------------------------------------------------ 
Arellano-Bond test for AR(1) in first differences: z = -0.65 Pr > z = 0.513 
Arellano-Bond test for AR(2) in first differences: z = -0.19 Pr > z = 0.848 
------------------------------------------------------------------------------ 
Sargan test of overid. restrictions: chi2(14) = 38.57 Prob > chi2 = 0.000 
 (Not robust, but not weakened by many instruments.) 
Hansen test of overid. restrictions: chi2(14) = 19.10 Prob > chi2 = 0.161 
 (Robust, but weakened by many instruments.) 
lv 
Dynamic panel-data estimation, two-step system GMM 
------------------------------------------------------------------------------ 
Group variable: id Number of obs = 393 
Time variable : yr Number of groups = 34 
Number of instruments = 21 Obs per group: min = 6 
F(6, 33) = 35.49 avg = 11.56 
Prob > F = 0.000 max = 15 
------------------------------------------------------------------------------ 
 zscore | Coef. Std. Err. t P>|t| [95% Conf. Interval] 
-------------+---------------------------------------------------------------- 
 fundiv | 13.50463 4.653364 2.90 0.007 4.037294 22.97197 
 eta | 83.37977 10.6052 7.86 0.000 61.80332 104.9562 
 lnasset | .213859 .5386394 0.40 0.694 -.882011 1.309729 
 llp | 45.91352 37.97608 1.21 0.235 -31.34939 123.1764 
 gdp | 14.69974 23.97777 0.61 0.544 -34.0834 63.48288 
 inf | 5.903287 3.275631 1.80 0.081 -.7610338 12.56761 
 _cons | -4.447661 10.39861 -0.43 0.672 -25.6038 16.70848 
------------------------------------------------------------------------------ 
Instruments for orthogonal deviations equation 
 Standard 
 FOD.(eta lnasset llp gdp inf) 
 GMM-type (missing=0, separate instruments for each period unless collapsed) 
 L(1/14).incdiv collapsed 
------------------------------------------------------------------------------ 
Arellano-Bond test for AR(1) in first differences: z = -0.98 Pr > z = 0.327 
Arellano-Bond test for AR(2) in first differences: z = -0.18 Pr > z = 0.854 
------------------------------------------------------------------------------ 
Sargan test of overid. restrictions: chi2(14) = 37.92 Prob > chi2 = 0.001 
 (Not robust, but not weakened by many instruments.) 
Hansen test of overid. restrictions: chi2(14) = 14.45 Prob > chi2 = 0.417 
 (Robust, but weakened by many instruments.) 

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