Các yếu tố ảnh hưởng đến hiệu quả hoạt động của các ngân hàng thương mại cổ phần việt nam khóa luận đại học chuyên ngành tài chính ngân hàng

BỘ GIÁO DỤC VÀ ĐÀO TẠO NGÂN HÀNG NHÀ NƢỚC VIỆT NAM TRƢỜNG ĐẠI HỌC NGÂN HÀNG TP HỒ CHÍ MINH ĐẬU THÙY TRANG CÁC YẾU TỐ ẢNH HƢỞNG ĐẾN HIỆU QUẢ HOẠT ĐỘNG CỦA CÁC NGÂN HÀNG THƢƠNG MẠI CỔ PHẦN VIỆT NAM KHÓA LUẬN TỐT NGHIỆP CHUYÊN NGÀNH: TÀI CHÍNH – NGÂN HÀNG MÃ SỐ: 7340201 TP HỒ CHÍ MINH, NĂM 2020 Tai ngay!!! Ban co the xoa dong chu nay!!! BỘ GIÁO DỤC VÀ ĐÀO TẠO NGÂN HÀNG NHÀ NƢỚC VIỆT NAM TRƢỜNG ĐẠI HỌC NGÂN HÀNG TP HỒ CHÍ MINH ĐẬU THÙY TRANG CÁC YẾU TỐ ẢNH HƢỞNG ĐẾN HIỆU QUẢ HOẠT ĐỘNG CỦA CÁC NGÂN HÀNG THƢƠNG MẠI CỔ PHẦN VIỆT NAM KHÓA LUẬN TỐT NGHIỆP CHUYÊN NGÀNH: TÀI CHÍNH – NGÂN HÀNG MÃ SỐ: 7340201 NGƢỜI HƢỚNG DẪN KHOA HỌC TS NGUYỄN THẾ BÍNH TP HỒ CHÍ MINH, NĂM 2020 i TĨM TẮT KHỐ LUẬN Bài viết nghiên cứu yếu tố ảnh hƣớng đến hiệu hoạt động ngân hàng thƣơng mại cổ phần (NHTMCP) Việt Nam giai đoạn từ năm 2009 đến năm 2018 Dữ liệu thứ cấp nghiên cứu thu thập đƣợc từ số liệu từ báo cáo tài theo năm 22 NHTMCP Việt Nam giai đoạn từ 2009 đến 2018 để xây dựng mơ hình hồi quy định lƣợng nhằm ƣớc lƣợng mối tƣơng quan yếu tố đƣợc nghiên cứu bao gồm: Quy mô ngân hàng (SIZE), tỷ lệ vốn chủ sở hữu tổng tài sản (CAP), tỷ lệ khoản (LQR), tỷ lệ nợ xấu (NPL), chi phí hoạt động (OC), tốc độ tăng trƣởng kinh tế (GDP) lạm phát (CPI) tác động nhƣ đến tỷ suất sinh lời tổng tài sản (ROA) tỷ suất sinh lời vốn chủ sở hữu (ROE) hai yếu tố đại diện cho hiệu hoạt động kinh doanh NHTMCP Việt Nam Dựa liệu thu thập đƣợc yếu tố trên, viết tiến hành phân tích ảnh hƣởng yếu tố tới hiệu kinh doanh NHTMCP Việt Nam thơng qua phân tích định lƣợng phƣơng pháp hồi quy liệu bảng đƣợc sử dụng phần mềm thống kê Stata 12 Từ kết thu đƣợc mơ hình mối quan hệ biến tài chính, biến kiểm soát hiệu hoạt động kinh doanh ngân hàng Cụ thể tỷ suất sinh lời tổng tài sản (ROA) tỷ suất sinh lời vốn chủ sở hữu (ROE): Quy mô ngân hàng (SIZE), Tỷ lệ vốn chủ sở hữu (CAP), lạm phát (CPI) Tỷ lệ khoản (LQR) có tƣơng quan chiều ngƣợc lại, biến: Chi phí hoạt động (OC) có ảnh hƣởng ngƣợc chiều Dựa nghiên cứu đƣợc thực hiện, viết cung cấp số gợi ý mang hàm ý quản trị cho ngân hàng kiến nghị phù hợp với quan chức ii ABSTRACT Interactions in the macro economy between governments, businesses and consumers take place within an institutional environment that includes a large number of financial intermediaries These range from banks and building societies to pension funds, insurance companies, investment trusts and issuing houses, all of which provide a number of services of both direct and indirect benefit to businesses As part of the financial system within a market-based economy, these institutions full fill a vital role in channelling funds from those able and willing to lend, to those individuals and organisations wishing to borrow in order to consume or invest Financial institutions, as indicated above, comprise a wide variety of organisations, many of which are public companies with shareholders Markets include the markets for short-term funds of various types (usually termed „money markets‟) and those for long-term finance for both the private and public sectors (usually called the „capital market‟) Stock exchanges normally lie at the center of the latter, and constitute an important market for existing securities issued by both companies and government Commercial banks have always played an important position in the country‟s economy They play a decisive role in the development of the industry and trade They are acting not only as the custodian of the wealth of the country but also as resources of the country, which are necessary for the economic development of a nation Along with the development of globalization and free trade in recent years has created a development and competition environment among economic individuals In financial markets, especially commercial banks - an intermediary financial institution connecting demand and supply In addition to the competition of domestic financial institutions, banks also face foreign financial institutions that are gradually entering Vietnam iii Bank profitability is a topical issue for a wide range of stakeholders including bank managers and investors, financial supervisors and economic policymakers as well as economists, analysts and journalists.While the general factors affecting the bank, profitability have been thoroughly investigated in the academic literature, differences in the significance of those factors among diverse bank business models and various degrees of banks systemic importance have been analysed less comprehensively The paper sets out to determine the main factors and their level of impact on profitability of banks in Vietnam There are many factors affect to the profitability of the banking sector Generally, these factors are categorized as bank specific factors, industry specific factors and macroeconomic factors Bank specific factors such as Bank Size, Capital ratio, Deposits ratio, Liquidity ratio and Overhead expense management These are internal determinants of bank profitability Macroeconomic factors such as inflation, GDP and Market Capitalization Many researchers in different countries have investigated determinants of bank profitability They have found different factors affecting bank profitability Therefore, it is necessary to seek out andresearch to determine what are the factors that affect the bank's profitability That will help bank managers to find solutions to more efficient problems In Vietnam, commercial banks play the important role of the operation on the economy Therefore, study the determinants of bank profitability is more important to the economy Bank specific determinants are more important to among these factors This research examines the effects of bank-specific determinants to the profitability of domestic commercial banks in Vietnam during the period from 2009-2018 The topic will consist of chapters: iv Chapter 1: Introduction: Present the reasons for choosing the topic, research objectives, research questions, subjects and scope of research, research methods, research contributions and topic structure Chapter 2: Proposing theoretical basis and empirical studies on factors affecting profitability of Vietnamese joint stock commercial banks: presenting theoretical basis and previous empirical studies here are the factors affecting the profitability of Vietnam Joint Stock Commercial Bank: presenting the theoretical basis for the reasoning of this research, and synthesizing and analyzing research works previous rescue work as an experimental basis for research Chapter 3: Research model: Presentation of research models, data processing methods and quantitative methods to estimate the impact of factors on the profitability of commercial banks in Vietnam Chapter 4: Research results on factors affecting the profitability of Vietnamese joint stock commercial banks: this chapter presents the results from the estimation model and discusses the results achieved Chapter 5: Conclusions and recommendations for solutions: Briefly present the research results on the basis of answering research questions and research objectives set at the beginning of the article, then make recommendations on policies for policy executives and bank executives to maximize the profitability of commercial banks in Vietnam, contributing to the construction of an effective commercial banking system in Vietnam High and sustainable development The thesis collects data from the financial statements of 22 commercial banks in Vietnam between 2009 and 2018 The researched factors consist of: Bank size (SIZE), captital stucture (CAP), liquidity ratio (LQR), the ratio of bad debt (NPL), operating cost (OC), gross domestic production rate (GDP) and inflation rate (CPI) v There are two factors representing the business performance of Vietnam commercial banks: Return on total Assets (ROA) and the Return on Equity (ROE) Based on the collected data of these factors, the article analyzes the impact of these factors on the business performance of Vietnamese commercial banks through quantitative analysis by the regression method of table data Used by Stata 12 system software The study uses multivariate regression models to test the factors affecting the profitability of Vietnamese commercial banks Therefore, research results reflect reliability as well as supplement and development in terms of research methods and propose feasible solutions Provide research methods and build a regression model to estimate the correlation between factors How banks, equity rates, liquidity ratios, bad debt rates and operating costs affect the profitability (ROA) of Vietnamese commercial banks For this study, the author used quantitative methods including methods (statistics, OLS, FEM, REM, FGLS) combined with explanations based on background theory as well as conclusion from other research papers to clarify the objectives as well as research questions The author also uses Stata software to perform quantitative analysis including: descriptive statistics, measurement of correlated matrix values, data regression by Pooled method OLS REM, FEM and FGLS In addition, the author also uses inspection methods such as self-correlation test, multi-pathology, regression test results, etc to evaluate the value obtained by identifying the effects of factors From the results obtained, the model indicates the relationship between financial variables, control variables for banking performance In particular: Bank size (SIZE), Equity ratio (CAP), inflation rate (CPI) and Liquidity ratio (LQR) Which have possitive impact to bank‟s performance, in contrast bank‟s performance affected negatively by Oerating cost (OC) vi Based on the research, the paper provides some administrative implications for banks and recommendations that are relevant to the authorities Proposed Conceptual Model Bank size (SIZE), Liquidity ratio (LQR) Inflation rate (CPI) Bank Profitability (ROA, ROE) Operating cost (OC) The ratio of bad debt (NPL), Gross domestic production rate (GDP) vii LỜI CAM ĐOAN Khóa luận đƣợc thực hồn thành q trình nghiên cứu học tập làm việc với tinh thần nghiêm túc riêng tác giả Kết nghiên cứu khoá luận trung thực chƣa đƣợc công bố cơng trình nghiên cứu khác ngoại trừ trích dẫn đƣợc dẫn nguồn đầy đủ khóa luận Tác giả ĐẬU THÙY TRANG viii LỜI CẢM ƠN Lời trƣớc tiên, xin cảm ơn đến quý Thầy cô bạn Trƣờng Đại học Ngân hàng lịng biết ơn sâu sắc nhất, tơi xin gửi đến Thầy/Cơ Khoa Tài – Ngân hàng Trƣờng Đại học Ngân hàng TP HCM hỗ trợ nhiệt tình kiến thức, kinh nghiệm tâm huyết truyền đạt cho chúng tơi suốt q trình học tập trƣờng Và đặc biệt chƣơng trình thực khóa luận tốt nghiệp với hƣớng dẫn tận tâm Thầy Nguyễn Thế Bính giúp đỡ tơi công tác chọn đề tài, cách viết đề tài, nhƣ hƣớng dẫn sâu sắc cách làm việc để q trình nghiên cứu khố luận đƣợc hồn thành cách tốt Cuối cùng, xin gửi lời cảm ơn đến gia đình, bạn bè, ngƣời thân ln bên cạnh, hỗ trợ, động viên để tơi hồn thành tốt khóa luận tốt nghiệp Trân trọng! 65 2017 NCB 0.0040 0.0448 0.7482 0.0155 18.0900 0.0352 0.0681 0.0003 0.0068 2018 NCB 0.0040 0.0446 0.7930 0.0169 18.0980 0.0354 0.0708 0.0005 0.0112 10 2009 VPB 0.0129 0.0925 0.6427 0.0163 17.1313 0.0705 0.0540 0.0107 0.1152 10 2010 VPB 0.0055 0.0870 0.7176 0.0120 17.9066 0.0886 0.0642 0.0084 0.0967 10 2011 VPB 0.0123 0.0724 0.7856 0.0182 18.2322 0.1868 0.0624 0.0097 0.1334 10 2012 VPB 0.0078 0.0647 0.7131 0.0272 18.4461 0.0909 0.0525 0.0063 0.0969 10 2013 VPB 0.0128 0.0637 0.6330 0.0281 18.6135 0.0659 0.0542 0.0084 0.1317 10 2014 VPB 0.0083 0.0550 0.5734 0.0254 18.9107 0.0471 0.0598 0.0077 0.1396 10 2015 VPB 0.0084 0.0691 0.4481 0.0273 19.0827 0.0088 0.0668 0.0124 0.1789 10 2016 VPB 0.0076 0.0751 0.4082 0.0295 19.2482 0.0324 0.0621 0.0172 0.2291 10 2017 VPB 0.0093 0.1069 0.3961 0.0345 19.4422 0.0352 0.0681 0.0232 0.2169 10 2018 VPB 0.0057 0.1075 0.3868 0.0356 19.5941 0.0354 0.0708 0.0228 0.2117 11 2009 HDB 0.0051 0.0880 0.6129 0.0279 17.1286 0.0705 0.0540 0.0116 0.1081 11 2010 HDB 0.0040 0.0820 0.6745 0.0140 17.7480 0.0886 0.0642 0.0097 0.1143 11 2011 HDB 0.0060 0.0821 0.7561 0.0223 18.0780 0.1868 0.0624 0.0106 0.1202 11 2012 HDB 0.0042 0.0816 0.8115 0.0881 18.5737 0.0909 0.0525 0.0145 0.0605 11 2013 HDB 0.0038 0.0721 0.7707 0.0566 18.7827 0.0659 0.0542 0.0059 0.0253 11 2014 HDB 0.0047 0.0620 0.7357 0.0220 18.9456 0.0471 0.0598 0.0047 0.0537 11 2015 HDB 0.0094 0.0550 0.6918 0.0174 19.1371 0.0088 0.0668 0.0039 0.064 11 2016 HDB 0.0055 0.0566 0.7134 0.0195 19.2706 0.0324 0.0621 0.0039 0.092 11 2017 HDB 0.0051 0.0514 0.7367 0.0237 19.4715 0.0352 0.0681 0.0054 0.1324 11 2018 HDB 0.0058 0.0505 0.7546 0.0243 19.5940 0.0354 0.0708 0.0052 0.1902 12 2009 MBB 0.0078 0.0998 0.5462 0.0158 18.0497 0.0705 0.0540 0.0170 0.1704 12 2010 MBB 0.0079 0.0810 0.5985 0.0126 18.5126 0.0886 0.0642 0.0159 0.1965 12 2011 MBB 0.0066 0.0695 0.6221 0.0159 18.7488 0.1868 0.0624 0.0138 0.1986 12 2012 MBB 0.0049 0.0733 0.5723 0.0184 18.9838 0.0909 0.0525 0.0132 0.1804 12 2013 MBB 0.0057 0.0840 0.5449 0.0245 19.0106 0.0659 0.0542 0.0127 0.1509 12 2014 MBB 0.0062 0.0826 0.5026 0.0273 19.1163 0.0471 0.0598 0.0125 0.1511 66 12 2015 MBB 0.0056 0.1049 0.4475 0.0220 19.2139 0.0088 0.0668 0.0114 0.1084 12 2016 MBB 0.0059 0.1038 0.4545 0.0216 19.3617 0.0324 0.0621 0.0113 0.1085 12 2017 MBB 0.0059 0.0943 0.4131 0.0156 19.5645 0.0352 0.0681 0.0111 0.1179 12 2018 MBB 0.0048 0.0943 0.4222 0.0153 19.7081 0.0354 0.0708 0.0171 0.1811 13 2009 VIB 0.0107 0.0521 0.6950 0.0128 17.8522 0.0705 0.0540 0.0082 0.1571 13 2010 VIB 0.0152 0.0703 0.6929 0.0159 18.3570 0.0886 0.0642 0.0084 0.12 13 2011 VIB 0.0122 0.0842 0.6845 0.0248 18.3897 0.1868 0.0624 0.0066 0.0783 13 2012 VIB 0.0111 0.1287 0.6569 0.0250 17.9903 0.0909 0.0525 0.0080 0.0622 13 2013 VIB 0.0074 0.1038 0.5959 0.0282 18.1577 0.0659 0.0542 0.0007 0.0063 13 2014 VIB 0.0079 0.1054 0.5297 0.0251 18.2058 0.0471 0.0598 0.0065 0.0615 13 2015 VIB 0.0101 0.1021 0.5111 0.0210 18.2500 0.0088 0.0668 0.0062 0.0605 13 2016 VIB 0.0082 0.0836 0.5037 0.0262 18.4649 0.0324 0.0621 0.0054 0.0643 13 2017 VIB 0.0083 0.0714 0.5235 0.0252 18.6290 0.0352 0.0681 0.0091 0.1279 13 2018 VIB 0.0079 0.0767 0.5216 0.0254 18.7512 0.0354 0.0708 0.0158 0.2057 14 2009 SGB 0.0107 0.1629 0.5753 0.0279 16.2900 0.0705 0.0540 0.0177 0.1086 14 2010 SGB 0.0090 0.2097 0.6414 0.0140 16.6376 0.0886 0.0642 0.0473 0.2255 14 2011 SGB 0.0117 0.2151 0.6550 0.0223 16.5476 0.1868 0.0624 0.0198 0.092 14 2012 SGB 0.0130 0.2383 0.5542 0.0881 16.5137 0.0909 0.0525 0.0200 0.084 14 2013 SGB 0.0116 0.2384 0.5821 0.0566 16.5023 0.0659 0.0542 0.0118 0.0494 14 2014 SGB 0.0119 0.2203 0.5146 0.0220 16.5770 0.0471 0.0598 0.0114 0.0519 14 2015 SGB 0.0108 0.1911 0.5258 0.0203 16.6918 0.0088 0.0668 0.0024 0.0127 14 2016 SGB 0.0105 0.1845 0.5385 0.0176 16.7625 0.0324 0.0621 0.0073 0.0397 14 2017 SGB 0.0100 0.1603 0.5632 0.0236 16.8751 0.0352 0.0681 0.0026 0.016 14 2018 SGB 0.0077 0.1686 0.5661 0.0310 16.8297 0.0354 0.0708 0.0020 0.0121 15 2009 SCB 0.0124 0.0841 0.8083 0.0128 17.8136 0.0705 0.0540 0.0058 0.0687 15 2010 SCB 0.0456 0.0783 0.9143 0.1140 17.9129 0.0886 0.0642 0.0046 0.059 15 2011 SCB 0.0140 0.0783 0.8178 0.0725 18.7910 0.1868 0.0624 0.0028 0.0354 15 2012 SCB 0.0291 0.0762 0.8154 0.0723 18.8208 0.0909 0.0525 0.0004 0.0056 67 15 2013 SCB 0.0094 0.0724 0.8823 0.0163 19.0141 0.0659 0.0542 0.0002 0.0032 15 2014 SCB 0.0058 0.0544 0.8910 0.0049 19.3054 0.0471 0.0598 0.0004 0.0068 15 2015 SCB 0.0075 0.0489 0.7930 0.0034 19.5570 0.0088 0.0668 0.0003 0.0052 15 2016 SCB 0.0065 0.0427 0.8744 0.0068 19.7063 0.0324 0.0621 0.0002 0.0051 15 2017 SCB 0.0060 0.0346 0.9290 0.0072 19.9114 0.0352 0.0681 0.0003 0.0081 15 2018 SCB 0.0050 0.0323 0.9111 0.0083 20.0479 0.0354 0.0708 0.0003 0.0107 16 2009 KLB 0.0073 0.1493 0.5489 0.0117 15.8275 0.0705 0.0540 0.0122 0.082 16 2010 KLB 0.0046 0.2554 0.6277 0.0111 16.3514 0.0886 0.0642 0.0155 0.0606 16 2011 KLB 0.0063 0.1936 0.6272 0.0277 16.6975 0.1868 0.0624 0.0221 0.1142 16 2012 KLB 0.0061 0.1854 0.6039 0.0293 16.7377 0.0909 0.0525 0.0189 0.1019 16 2013 KLB 0.0049 0.1626 0.5671 0.0247 16.8776 0.0659 0.0542 0.0147 0.0902 16 2014 KLB 0.0061 0.1456 0.6211 0.0195 16.9555 0.0471 0.0598 0.0076 0.0523 16 2015 KLB 0.0082 0.1332 0.6101 0.0114 17.0472 0.0088 0.0668 0.0065 0.049 16 2016 KLB 0.0098 0.1105 0.6574 0.0107 17.2316 0.0324 0.0621 0.0040 0.036 16 2017 KLB 0.0116 0.0951 0.6419 0.0083 17.4352 0.0352 0.0681 0.0054 0.0568 16 2018 KLB 0.0123 0.0886 0.6926 0.0086 17.5605 0.0354 0.0708 0.0055 0.0618 17 2009 PGB 0.0136 0.1050 0.6477 0.0206 16.1591 0.0705 0.0540 0.0168 0.16 17 2010 PGB 0.0119 0.1327 0.6476 0.0844 16.6115 0.0886 0.0642 0.0134 0.1007 17 2011 PGB 0.0130 0.1474 0.6109 0.0298 16.6824 0.1868 0.0624 0.0254 0.1722 17 2012 PGB 0.0104 0.1659 0.5655 0.0248 16.7731 0.0909 0.0525 0.0125 0.0751 17 2013 PGB 0.0071 0.1290 0.6641 0.0275 17.0294 0.0659 0.0542 0.0015 0.0119 17 2014 PGB 0.0075 0.1295 0.5845 0.0247 17.0651 0.0471 0.0598 0.0051 0.0392 17 2015 PGB 0.0089 0.1366 0.5364 0.0279 17.0216 0.0088 0.0668 0.0017 0.0121 17 2016 PGB 0.0071 0.1408 0.5336 0.0249 17.0273 0.0324 0.0621 0.0049 0.0351 17 2017 PGB 0.0062 0.1215 0.5793 0.0326 17.1930 0.0352 0.0681 0.0022 0.0181 17 2018 PGB 0.0085 0.1233 0.5767 0.0309 17.2134 0.0354 0.0708 0.0042 0.0344 18 2009 SeABank 0.0065 0.1791 0.5614 0.0180 17.2364 0.0705 0.0540 0.0150 0.0839 18 2010 SeABank 0.0062 0.1040 0.6839 0.0097 17.8272 0.0886 0.0642 0.0114 0.1095 68 18 2011 SeABank 0.0056 0.0548 0.8859 0.0311 18.4315 0.1868 0.0624 0.0012 0.0228 18 2012 SeABank 0.0055 0.0744 0.8628 0.0297 18.1339 0.0909 0.0525 0.0007 0.0094 18 2013 SeABank 0.0058 0.0717 0.8206 0.0630 18.1958 0.0659 0.0542 0.0019 0.0265 18 2014 SeABank 0.0066 0.0709 0.8263 0.0311 18.1998 0.0471 0.0598 0.0011 0.0153 18 2015 SeABank 0.0067 0.0681 0.7356 0.0140 18.2553 0.0088 0.0668 0.0011 0.0159 18 2016 SeABank 0.0069 0.0569 0.7003 0.0100 18.4538 0.0324 0.0621 0.0011 0.0199 18 2017 SeABank 0.0059 0.0494 0.7324 0.0105 18.6439 0.0352 0.0681 0.0024 0.0494 18 2018 SeABank 0.0073 0.0591 0.7301 0.0152 18.7606 0.0354 0.0708 0.0035 0.0594 19 2009 ABB 0.0073 0.1693 0.5814 0.0421 17.0933 0.0705 0.0540 0.0118 0.0694 19 2010 ABB 0.0111 0.1224 0.6338 0.0394 17.4535 0.0886 0.0642 0.0131 0.1066 19 2011 ABB 0.0112 0.1137 0.6323 0.0394 17.5422 0.1868 0.0624 0.0074 0.065 19 2012 ABB 0.0083 0.1065 0.6355 0.0284 17.6444 0.0909 0.0525 0.0087 0.0815 19 2013 ABB 0.0073 0.0997 0.6880 0.0763 17.8695 0.0659 0.0542 0.0024 0.0245 19 2014 ABB 0.0065 0.0847 0.6392 0.0451 18.0271 0.0471 0.0598 0.0017 0.0205 19 2015 ABB 0.0089 0.0899 0.5972 0.0215 17.9802 0.0088 0.0668 0.0014 0.0158 19 2016 ABB 0.0085 0.0788 0.5932 0.0254 18.1219 0.0324 0.0621 0.0033 0.0417 19 2017 ABB 0.0103 0.0724 0.5952 0.0281 18.2523 0.0352 0.0681 0.0058 0.0799 19 2018 ABB 0.0096 0.0763 0.6279 0.0191 18.3153 0.0354 0.0708 0.0079 0.1041 20 2009 MSB 0.0072 0.0556 0.6837 0.0062 17.9725 0.0705 0.0540 0.0121 0.2175 20 2010 MSB 0.0079 0.0549 0.7672 0.0187 18.5634 0.0886 0.0642 0.0100 0.1829 20 2011 MSB 0.0107 0.0831 0.8894 0.0388 18.5550 0.1868 0.0624 0.0070 0.0839 20 2012 MSB 0.0090 0.0827 0.8315 0.0265 18.5153 0.0909 0.0525 0.0021 0.0249 20 2013 MSB 0.0096 0.0879 0.8163 0.0271 18.4894 0.0659 0.0542 0.0031 0.035 20 2014 MSB 0.0113 0.0905 0.8716 0.0516 18.4634 0.0471 0.0598 0.0014 0.0151 20 2015 MSB 0.0147 0.1305 0.8274 0.0341 18.4629 0.0088 0.0668 0.0011 0.0085 20 2016 MSB 0.0202 0.1469 0.6451 0.0378 18.3439 0.0324 0.0621 0.0015 0.0103 20 2017 MSB 0.0178 0.1223 0.7384 0.0361 18.5361 0.0352 0.0681 0.0011 0.0089 20 2018 MSB 0.0170 0.1003 0.6136 0.0345 18.7411 0.0354 0.0708 0.0063 0.0628 69 21 2009 SHB 0.0051 0.0880 0.6129 0.0279 17.1286 0.0705 0.0540 0.0116 0.1317 21 2010 SHB 0.0040 0.0820 0.6745 0.0140 17.7480 0.0886 0.0642 0.0097 0.1182 21 2011 SHB 0.0060 0.0821 0.7561 0.0223 18.0780 0.1868 0.0624 0.0106 0.1291 21 2012 SHB 0.0042 0.0816 0.8115 0.0881 18.5737 0.0909 0.0525 0.0145 0.1775 21 2013 SHB 0.0038 0.0721 0.7707 0.0566 18.7827 0.0659 0.0542 0.0059 0.0821 21 2014 SHB 0.0047 0.0620 0.7357 0.0220 18.9456 0.0471 0.0598 0.0047 0.0755 21 2015 SHB 0.0094 0.0550 0.6918 0.0174 19.1371 0.0088 0.0668 0.0039 0.0706 21 2016 SHB 0.0055 0.0566 0.7134 0.0195 19.2706 0.0324 0.0621 0.0039 0.069 21 2017 SHB 0.0051 0.0514 0.7367 0.0237 19.4715 0.0352 0.0681 0.0054 0.1048 21 2018 SHB 0.0058 0.0505 0.7546 0.0243 19.5940 0.0354 0.0708 0.0052 0.1024 22 2009 STB 0.1218 0.1014 0.6774 0.0064 18.4601 0.0705 0.0540 0.0161 0.1584 22 2010 STB 0.0778 0.0920 0.6703 0.0054 18.8419 0.0886 0.0642 0.0125 0.1363 22 2011 STB 0.0838 0.1028 0.6840 0.0058 18.7676 0.1868 0.0624 0.0141 0.1372 22 2012 STB 0.0638 0.0901 0.6187 0.0250 18.8402 0.0909 0.0525 0.0066 0.0732 22 2013 STB 0.0262 0.1057 0.6239 0.0146 18.8993 0.0659 0.0542 0.0138 0.1306 22 2014 STB 0.0254 0.0952 0.6100 0.0119 19.0615 0.0471 0.0598 0.0116 0.1222 22 2015 STB 0.0226 0.0756 0.5863 0.0814 19.4924 0.0088 0.0668 0.0022 0.0293 22 2016 STB 0.0177 0.0668 0.7750 0.0659 19.6207 0.0324 0.0621 0.0003 0.004 22 2017 STB 0.0169 0.0631 0.7549 0.0471 19.7249 0.0352 0.0681 0.0032 0.0508 22 2018 STB 0.0157 0.0607 0.7097 0.0240 19.8220 0.0354 0.0708 0.0044 0.0727 PHỤ LỤC MƠ TẢ DỮ LIỆU VÀ PHÂN TÍCH TƢƠNG QUAN Khai báo biến 70 Mô tả liệu PHỤ LỤC PHÂN TÍCH TƢƠNG QUAN MƠ HÌNH NGHIÊN CỨU ROE VÀ ROA 71 PHỤ LỤC CÁC KIỂM ĐỊNH Kiểm định tự tƣơng quan mơ hình ROE Kiểm định tự tƣơng quan mơ hình ROA 72 PHỤ LỤC PHÂN TÍCH HỒI QUY MÌNH ROA THEO POOLED OLS MƠ HÌNH ROA 73 PHỤ LỤC PHÂN TÍCH HỒI QUY MƠ HÌNH ROA THEO FEM MƠ HÌNH ROA PHỤ LỤC 74 PHÂN TÍCH HỒI QUY MƠ HÌNH ROA THEO REM MƠ HÌNH ROA PHỤ LỤC KIỂM ĐỊNH HAUSMAN MƠ HÌNH ROA PHỤ LỤC 75 KIỂM TRA TỰ TƢƠNG QUAN MƠ HÌNH ROA Phƣơng sai thay đổi rem PHỤ LỤC 10 PHÂN TÍCH HỒI QUY MƠ HÌNH ROE THEO POOLED OLS MƠ HÌNH ROE 76 PHỤ LỤC 11 PHÂN TÍCH HỒI QUY MƠ HÌNH ROE THEO FEM MƠ HÌNH ROE PHỤ LỤC 12 PHÂN TÍCH HỒI QUY MƠ HÌNH ROE THEO REM MƠ HÌNH ROE 77 PHỤ LỤC 13 KIỂM ĐỊNH HAUSMAN MƠ HÌNH ROE PHỤ LỤC 14 KIỂM ĐỊNH BREUSH-PAGAN MƠ HÌNH ROE (Sau chạy hồi quy REM) 78 PHỤ LỤC 15 HỒI QUY FGLS MƠ HÌNH ROE PHỤ LỤC 16 KIỂM ĐỊNH ĐA CỘNG TUYẾN 79 ROA ROE