BỘ GIÁO DỤC VÀ ĐÀO TẠO NGÂN HÀNG NHÀ NƢỚC VIỆT NAM TRƢỜNG ĐẠI HỌC NGÂN HÀNG TP HỒ CHÍ MINH ĐÀO TRUNG ANH CÁC NHÂN TỐ ẢNH HƢỞNG ĐẾN BIÊN LÃI RÕNG CỦA HỆ THỐNG NGÂN HÀNG THƢƠNG MẠI VIỆT NAM KHÓA LUẬN TỐ.
BỘ GIÁO DỤC VÀ ĐÀO TẠO NGÂN HÀNG NHÀ NƢỚC VIỆT NAM TRƢỜNG ĐẠI HỌC NGÂN HÀNG TP.HỒ CHÍ MINH ĐÀO TRUNG ANH CÁC NHÂN TỐ ẢNH HƢỞNG ĐẾN BIÊN LÃI RÕNG CỦA HỆ THỐNG NGÂN HÀNG THƢƠNG MẠI VIỆT NAM KHĨA LUẬN TỐT NGHIỆP CHUN NGÀNH: TÀI CHÍNH - NGÂN HÀNG MÃ SỐ: 7340201 TP HỒ CHÍ MINH, NĂM 2022 BỘ GIÁO DỤC VÀ ĐÀO TẠO NGÂN HÀNG NHÀ NƢỚC VIỆT NAM TRƢỜNG ĐẠI HỌC NGÂN HÀNG TP.HỒ CHÍ MINH ĐÀO TRUNG ANH CÁC NHÂN TỐ ẢNH HƢỞNG ĐẾN BIÊN LÃI RÕNG CỦA HỆ THỐNG NGÂN HÀNG THƢƠNG MẠI VIỆT NAM KHĨA LUẬN TỐT NGHIỆP CHUN NGÀNH: TÀI CHÍNH - NGÂN HÀNG MÃ SỐ: 52340201 NGƢỜI HƢỚNG DẪN KHOA HỌC THS NGƠ SỸ NAM TP HỒ CHÍ MINH, NĂM 2022 i ABSTRACT The banking system plays an important role in the economy of a country Not only acting as a bridge between actors in the economy but the banking system also ensures the stability of other activities in the economy For commercial banks in Vietnam, traditional lending activities contribute a large part to the total income of the bank Specifically, this lending activity accounts from 70% to 80% of the bank's total income Over the years, due to the strong development of modern technology, fierce competition on lending interest rates and deposit interest rates among banks has occurred In recent years, commercial banks in Vietnam have been developing new products and services to attract potential customers However, income from traditional lending activity still accounts for the majority of the total income of banks And to measure the efficiency of lending activities at banks, the author uses the net interest margin - the difference between the interest earned and the interest paid by the bank divided by the total assets of the bank There have been many research articles by both domestic and foreign authors on the same topic, agreeing that net interest margin is considered an important indicator to measure the performance of a bank Through this net interest margin ratio, the bank can control the interest income and the amount of interest payable to the lender compared to the profitable assets and evaluate the efficiency of using the bank's assets Research results are the scientific basis for Vietnamese commercial bank managers to make reasonable and correct decisions and policies, bringing high efficiency to the bank and promoting economic development The study of Thomas SY Ho & Anthony Saunders (1981) studied the factors affecting the ratio of net interest margin in Ethiopia, this is one of the basic studies and lays the basis for later studies on net interest margin Factors affecting net interest margin include both micro and macro factors Most of the studies focus on variables such as bank size, risk aversion, liquidity ratio, credit risk, management quality, the scale of lending operations, operating costs, non-interest income, total ii deposits, liquidity risk, cost efficiency, implicit interest payment costs, efficiency measure to scale, reserve policy at state banks, inflation economic growth rate, The objective of the study is to clarify the level of impact as well as the direction of the factors on the net interest margin of 29 commercial banks in Vietnam From there, propose solutions to improve the NIM ratio and contribute to improving the operational efficiency of banks in Vietnam Panel data are used over a 10-year period, from 2011 to 2020 with 290 observations The study uses a quantitative method Run variable regression model to test the fit through Pooled OLS, FEM, REM models The collected data will be processed on Stata 14 software The study's layout is divided into chapters In chapter 1, the author mentioned the important role of commercial banks in the economy, specifically how bank operation affects the economy Overview of the operation of commercial banks in Vietnam in recent years Briefly summarize the opinions of the authors of previous studies on how to use net interest margin to measure and evaluate the performance of banks From there, it shows the reasons for choosing the research topic of the author Chapter also mentions the goal of the study and to achieve the goal of the research, the author has proposed issues to progress towards the implementation of the overall goal of the research paper In addition, this chapter also presents the research objective, research object, research scope, research method, and thesis layout At the end of chapter 1, the author mentioned the meaning and contribution of the research topic In chapter 2, the author presents the basis of the theories used in the research Regarding commercial banks, the author presented the main concepts and functions: credit intermediary function, payment intermediary function, and money creation function of commercial banks in Vietnam In addition, the author also mentions the basic activities of commercial banks, which are extracted according to the provisions of the law on credit institutions and the classification of existing commercial banks in Vietnam Regarding the net interest margin ratio, the author iii also briefly presents the concept, calculation formula, and meaning of the net profit margin ratio Besides, the author also summarizes the results of the latest research on the same topic of many authors, both domestic and foreign The table summarizes the results of the variables used in the author's model from previous studies The variables used in the model include micro and macro variables Micro variables include bank size, loan size, liquidity, management efficiency, operating costs, and diversification Microscopic variables include economic growth and inflation rate In addition, the author also presents the impact results of each variable from previous studies In chapter 3, the author builds a research model based on the references of many previous studies Specifically, the model includes dependent variables, bank size (SIZE), loan size (LOAN), liquidity (LIQ), management efficiency (TEATA), operating cost (OC), diversification (NIITA), economic growth (GDP), and inflation rate (INF) Besides, the author summarizes the variables and the expected sign of each variable in the model From the reference of many previous studies on the same topic, the author also proposed a research hypothesis for each variable in the model At the end of chapter 3, the author presents the steps to test the model First, the data will be calculated and presented in the form of panel data Then, test the correlation and multicollinearity between the variables through the VIF test Next, perform a best-fit model search between the OLS, FEM, and REM models To choose between OLS and FEM models, the author uses F-test Next, use the Hausman test to consider the choice between FEM and REM models Finally, the author tests the defects of the model, specifically considering the phenomenon of multicollinearity, the phenomenon of error variance, and the phenomenon of series correlation All will be tested on Stata 14 software Chapter mention the current situation of commercial banks in Vietnam in the period 2011 to 2020 Accordingly, the growth rate of equity and average lending tends to decrease over the years During this period, from 2011 to 2015, banks in iv Vietnam carried out restructuring according to the regulations of the Prime Minister of Vietnam Therefore, by the end of 2015, the average growth rate of deposits increased dramatically, reaching 134.7% compared to 2014 The research model result shows that the FEM model is more suitable and explains better than the REM model about the influence of factors on the net interest margin of banks through measuring the impact on NIM The final results show that most of the independent variables have the same effect as the initial expectation Specifically, bank size (SIZE), loan size (LOAN), management efficiency (TEATA), operating costs (OC), and inflation rate (INF) have a positive impact on the net interest margin Meanwhile, the remaining variables, liquidity (LIQ), diversification (NIITA), and growth rate have negative effects on net profit margin Of the above variables, the results of the operating cost (OC) variable have a confidence level of up to 99% When the bank increased operating expenses by 1%, the net interest margin increased by 71.2% Banks increase operating costs in activities such as investing in human resources or investing in products and services to improve customer experience or expanding branches and using advertising to attract customers All of which benefit the bank and contribute to the bank's profitability This helps to increase the net interest margin On the other hand, at the 10% significance level, liquidity (LIQ) shows the opposite effect Specifically, when commercial banks increased their liquidity by 1%, their net interest margins decreased by 1.9% The Bank holds many liquid assets, contributing to minimizing liquidity risks and ensuring the safety of the bank's operations However, the more liquid an asset is, the lower the profitability of the asset Since then, the net interest margin of banks has decreased From the above results, chapter proposes solutions and recommendations for commercial banks in Viet Nam to improve the net interest margin of the commercial banking system Specifically, for the issue of bank expansion, banks need to focus on training and developing human resources in a commensurate v manner For the problem of loan expansion, controlling loans to avoid causing inflation is very important Therefore, banks need to comply with the credit regulations of the State Bank For cost management, banks should invest in things like employee compensation and benefits, invest in technology systems, and invest in communication to enhance customer experience and attract more customers In this chapter, the author also points out the remaining limitations in the author's research And propose expansion directions for future research papers on the same topic vi LỜI CAM ĐOAN Tác giả xin cam đoan, nghiên cứu với đề tài “Các nhân tố ảnh hưởng đến biên lãi ròng hệ thống ngân hàng thương mại Việt Nam” cơng trình nghiên cứu tác giả Kết nghiên cứu hồn tồn trung thực, thơng tin nội dung tác giả tham khảo đƣợc trích dẫn nguồn đầy đủ Tp Hồ Chí Minh, tháng năm 2022 Tác giả Đào Trung Anh vii LỜI CẢM ƠN Lời đầu tiên, tác giả xin cảm ơn chân thành đến quý thầy cô trƣờng Đại học Ngân hàng TP Hồ Chí Minh trang bị tảng kiến thức vững cho tác giả suốt trình học tập trƣờng Tác giả xin gửi lời cảm ơn chân thành đến giảng viên hƣớng dẫn, Thạc sỹ Ngô Sỹ Nam Thầy nhiệt tình bảo ngày đầu tác giả chuẩn bị làm khóa luận hồn thành Thầy tận tâm trình sửa góp ý giúp nghiên cứu tác giả đƣợc hồn thiện Bên cạnh đó, suốt q trình thực khóa luận, thầy ln động viên ln tạo điều kiện tốt để tác giả hồn thành khóa luận Tác giả xin cảm ơn gia đình bạn bè, ngƣời động viên hỗ trợ tác giả suốt q trình thực khóa luận Trong q trình thực khóa luận, hạn hẹp kiến thức nhƣ giới hạn thời gian, nghiên cứu khơng tránh khỏi thiếu sót Do đó, tác giả mong q thầy nhiệt tình góp ý để tác giả hoàn thiện nghiên cứu Trân trọng cảm ơn! Tp Hồ Chí Minh, tháng năm 2022 Tác giả Đào Trung Anh viii MỤC LỤC ABSTRACT i DANH MỤC TỪ VIẾT TẮT xi DANH MỤC BẢNG xii DANH MỤC HÌNH ẢNH xiii CHƢƠNG 1: TỔNG QUAN VỀ NGHIÊN CỨU 1.1 Giới thiệu 1.2 Mục tiêu nghiên cứu 1.3 Câu hỏi nghiên cứu 1.4 Đối tƣợng phạm vi nghiên cứu 1.5 Phƣơng pháp nghiên cứu 1.6 Bố cục khóa luận 1.7 Đóng góp đề tài nghiên cứu KẾT LUẬN CHƢƠNG CHƢƠNG 2: CƠ SỞ LÝ THUYẾT 2.1 Tổng quan ngân hàng thƣơng mại 2.1.1 Khái niệm 2.1.2 Chức ngân hàng thƣơng mại 2.1.3 Các hoạt động ngân hàng thƣơng mại 2.1.4 Các loại Ngân hàng thƣơng mại 10 2.2 Cơ sở lý thuyết tỷ lệ biên lãi ròng 10 2.2.1 Khái niệm tỷ lệ biên lãi ròng 10 2.2.2 Ý nghĩa tỷ lệ biên lãi ròng 11 2.3 Các nghiên cứu liên quan 12 2.3.1 Các nghiên cứu nƣớc 12 2.3.2 Các nghiên cứu nƣớc 19 2.4 Các yếu tố tác động đến tỷ lệ biên lãi ròng 22 52 Thứ ba, biến phụ thuộc sử dụng mơ hình cịn hạn chế, chủ yếu lấy từ nghiên cứu Hamadi Awded (2012) Cụ thể, biến nhƣ quy mô ngân hàng, quy mơ cho vay, tính khoản, hiệu quản lý chi phí hoạt động Thứ tƣ, có nhiều biến đƣợc sử dụng để đo lƣờng tác động lên tỷ lệ biên lãi ròng đƣợc nhiều tác giả nƣớc sử dụng nghiên cứu đề tài Tuy nhiên, hạn chế liệu cách tính tốn tác giả khơng thể đƣa vào mơ hình 5.4 Hƣớng mở rộng nghiên cứu Dựa theo hạn chế nghiên cứu nêu trên, tác giả đề xuất khuyến nghị nhằm mở rộng đề tài cho nghiên cứu Thứ nhất, mở rộng thời gian nghiên cứu cho đề tài nhƣ số lƣợng ngân hàng, đặc biệt ngân hàng nƣớc hoạt động Việt Nam Nhằm cung cấp nhìn bao quát gia tăng xác cho mơ hình Cụ thể, đánh giá cách toàn diện mức độ tác động, chiều hƣớng tác động yếu tố lên tỷ lệ biên lãi ròng Thứ hai, sử dụng biến cho biến vi mơ vĩ mơ Ví dụ, sử dụng biến nhƣ loại hình sở hữu, sách ngƣời, thuế, tỷ giá, mức độ vốn hóa thị trƣờng, lãi suất, KẾT LUẬN CHƢƠNG Từ kết chƣơng 4, kết thúc chƣơng tác giả đƣa số khuyến nghị cho NHTM Việt Nam nhằm cải thiện tỷ lệ biên lãi rịng Bên cạnh đó, tác giả hạn chế nghiên cứu đƣa hƣớng khắc phục hạn chế cho nghiên cứu đề tài sau 53 DANH MỤC TÀI LIỆU THAM KHẢO Tài liệu tham khảo nƣớc McShane, R.W., I.G Sharpe (1985), A time series/ cross section analysis of the determinants of Australian trading bank loan/deposit interest margins: 1962-1981, Elsevier Science (North Holland) Angbazo, L (1997), Commercial bank net interest margins, default risk, interest rate risk and offbalance sheet banking, Journal of Banking and Finance, 21(1), 55-87 Islam, M S., & Nishiyama, S I (2016) The determinants of bank profitability: dynamic panel evidence from South Asian countries Journal of Applied Finance and Banking, 6(3), 77 Hamadi, H., & Awdeh, A (2012) The determinants of bank net interest margin: Evidence from the Lebanese banking sector Journal of Money, Investment and banking, 23(3), 85-98 Bektas, E (2014) Are the determinants of bank net interest margin and spread different? The case of North Cyprus Banks & bank systems, (9, Iss 4), 82-91 Almarzoqi, R., & Naceur, M S B (2015) Determinants of bank interest margins in the Caucasus and Central Asia International Monetary Fund Ho, T S., & Saunders, A (1981) The determinants of bank interest margins: theory and empirical evidence Journal of Financial and Quantitative analysis, 581-600 Aburime, T (2008) Determinants of bank profitability: Company-level evidence from Nigeria Available at SSRN 1106825 54 Khan, M., & Jalil, A (2020) Determinants of interest margin in Pakistan: A panel data analysis Economies, 8(2), 25 10 Lestari, H S., Chintia, H., & Akbar, I C (2021) Determinants of Net Interest Margin on Conventional Banking: Evidence in Indonesia Stock Exchange Jurnal Keuangan dan Perbankan, 25(1), 104-116 11 Yuksel, S., & Zengin, S (2017) Influencing factors of net interest margin in Turkish banking sector International Journal of Economics and Financial Issues, 7(1), 178-191 12 Suu, N D., Luu, T Q., Pho, K H., & McAleer, M (2020) Net Interest Margin of Commercial Banks in Vietnam Advances in Decision Sciences, 24(1), 1-27 13 Kasman, A., Tunc, G., Vardar, G., & Okan, B (2010) Consolidation and commercial bank net interest margins: Evidence from the old and new European Union members and candidate countries Economic Modelling, 27(3), 648-655 14 Plakalović, N., & Alihodzic, A A (2015) Determinants of the net interest margins in BH banks Industrija, 43(1) 15 Gounder, N., & Sharma, P (2012) Determinants of bank net interest margins in Fiji, a small island developing state Applied Financial Economics, 22(19), 1647-1654 16 Rahman, M M., Hamid, M K., & Khan, M A M (2015) Determinants of bank profitability: Empirical evidence from Bangladesh International journal of business and management, 10(8), 135 17 Abdulhakim, D İ K O (2019) Determinants of Net Interest Margins in Turkish Banking System: A Panel Data Analysis Maliye ve Finans Yazıları, (111), 233-266 55 18 Khalil, A., & Farooq, U (2019) Determinants of Net Interest Margins in Emerging Markets: A Generalized Method of Moments Approach Journal of Quantitative Methods, 3(1), 38–55 19 Mesfin, E A., & Ram, B (2019) Determinants of net interest margin in selected commercial banks in Ethiopia IJSRR, 8(1), 1646-1655 20 Qi, M., & Yang, Y (2016) The determinants of bank interest margins: A short-term funding perspective Applied Economics and Finance, 4, 127-37 Tài liệu tham khảo nƣớc Báo cáo tài Ngân hàng thƣơng mại 2011-2020 Lê Thị Tuyết Hoa (2007) Tiền tệ ngân hàng Trƣờng Đại học Ngân hàng Nhà xuất thống kê Nguyễn Kim Thu Đỗ Thị Thanh Huyền (2014) Phân tích yếu tố ảnh hưởng đến tỷ lệ thu nhập lãi ngân hàng thương mại Việt Nam Tạp chí Khoa học Đại học Quốc gia Hà Nội: Kinh tế Kinh doanh, 4, 55 – 65 Nguyễn Minh Sáng (2014) Các nhân tố ảnh hưởng đến tỷ lệ thu nhập lãi hệ thống NHTM Việt Nam Tạp chí Ngân hàng số 19/10/2014 Nguyễn Thị Mỹ Linh Nguyễn Thị Thu Hƣơng, (2015) Các yếu tố ảnh hưởng đến thu nhập lãi cận biên ngân hàng thương mại cổ phần Việt Nam Tạp chí Nghiên cứu kinh tế, 11, 43-51 Nguyễn Anh Tú Phạm Trí Nghĩa (2019) Lãi suất cận biên ngân hàng thương mại Việt Nam giai đoạn 2005-2017- nghiên cứu thực nghiệm Tạp chí Ngân hàng số 21 Trích xuất http://tapchinganhang.gov.vn/lai-suat-can-bien-cua-cac-ngan-hang-thuongmai-viet-nam-giai-doan-2005-2017-mot-nghien-cuu-thuc-nghi.htm từ 56 Đào Lê Kiều Oanh Nguyễn Hồng Quân (2020) Yếu tố tác động đến tỷ lệ thu nhập lãi cận biên ngân hàng thương mại Việt Nam Tạp chí tài Trích xuất từ https://tapchitaichinh.vn/ngan-hang/yeu-to-tac-dongden-ty-le-thu-nhap-lai-can-bien-cua-cac-ngan-hang-thuong-mai-viet-nam330371.html Nguyễn Đình An Tơ Thị Hồng Gấm (2020) Yếu tố ảnh hưởng đến thu nhập lãi cận biên ngân hàng thương mại cổ phần Việt Nam Tạp chí tài Trích xuất từ https://tapchitaichinh.vn/ngan-hang/yeu-to-anhhuong-den-thu-nhap-lai-can-bien%C2%A0cua-cac-ngan-hang-thuong-maico-phan-viet-nam-331556.html Luật Tổ chức tín dụng Luật số 47/2010/QH12 Quốc hội Trích xuất từ https://vanban.chinhphu.vn/default.aspx?pageid=27160&docid=96074 10 Chính phủ, 2012 Quyết định số 254/QĐ-TTg Thủ tƣớng Chính phủ phê duyệt “Đề án cấu lại hệ thống tổ chức tín dụng giai đoạn 2011-2015”, Hà Nội 57 Bảng Danh sách ngân hàng cung cấp liệu STT Tên đầy đủ MÃ CK Ngân hàng TMCP Công thƣơng Việt Nam (VietinBank) CTG Ngân hàng TMCP Ngoại Thƣơng Việt Nam (Vietcombank) VCB Ngân hàng TMCP Kỹ Thƣơng (Techcombank) TCB Ngân hàng TMCP Đầu tƣ Phát triển Việt Nam (BIDV) BID Ngân hàng TMCP Việt Nam Thịnh Vƣợng (VPBank) VPB Ngân hàng TMCP Quân Đội (MB) MBB Ngân hàng TMCP Sài Gịn Thƣơng Tín (Sacombank) STB Ngân hàng TMCP Sài Gòn (SCB) SCB Ngân hàng TMCP Á Châu (ACB) ACB 10 Ngân hàng TMCP Xuất Nhập Khẩu (Eximbank) EIB 11 Ngân hàng TMCP Sài Gòn – Hà Nội (SHB) SHB 12 Ngân hàng TMCP Hàng Hải (MSB) MSB 13 Ngân hàng TMCP Phát triển Thành phố Hồ Chí Minh (HDBank) HDB 14 Ngân hàng TMCP Bƣu điện Liên Việt (LienVietPostBank) LPB 15 Ngân hàng TMCP Tiên Phong (TPBank) TPB 16 Ngân hàng TMCP Quốc Tế (VIB) VIB 17 Ngân hàng TMCP Phƣơng Đông (OCB) OCB 58 18 Ngân hàng TMCP Bắc Á (Bac A Bank) BAB 19 Ngân hàng TMCP An Bình (ABBANK) ABB 20 Ngân hàng TMCP Việt Á (VietABank) VAB 21 Ngân hàng TMCP Nam Á (Nam A Bank) NAB 22 Ngân hàng TMCP Kiên Long (Kienlongbank) KLB 23 Ngân hàng TMCP Bảo Việt (BAOVIET Bank) BVB 24 Ngân hàng TMCP Sài Gòn Công Thƣơng (SAIGONBANK) SGB 25 Ngân hàng TMCP Xăng dầu Petrolimex (PG Bank) PGB 26 Ngân hàng Nông nghiệp phát triển nông thôn AGR 27 Ngân hàng TMCP Đông Nam Á (SeABank) SSB 28 Ngân hàng TMCP Bảo Việt (BAOVIET Bank) BaoVietBank 29 Ngân hàng TMCP Quốc dân NVB 59 PHỤ LỤC DỮ LIỆU NGHIÊN CỨU STT BANK YEAR NIM SIZE LOAN LIQ TEATA OC NIITA GDP INF ABB 2011 0.05 7.62 0.47 0.22 0.86 0.02 0.00 0.06 0.19 ABB 2012 0.04 7.66 0.40 0.29 0.84 0.02 0.00 0.05 0.09 ABB 2013 0.02 7.76 0.40 0.31 0.91 0.02 0.01 0.05 0.07 ABB 2014 0.02 7.83 0.38 0.31 0.91 0.02 0.00 0.06 0.04 ABB 2015 0.03 7.81 0.47 0.21 0.91 0.02 0.01 0.07 0.01 ABB 2016 0.03 7.87 0.53 0.16 0.88 0.02 0.01 0.06 0.03 ABB 2017 0.03 7.93 0.56 0.19 0.94 0.02 0.01 0.07 0.04 ABB 2018 0.02 7.95 0.57 0.14 0.94 0.02 0.01 0.07 0.04 ABB 2019 0.03 8.01 0.55 0.25 0.95 0.02 0.01 0.07 0.03 ABB 2020 0.02 8.07 0.54 0.28 0.95 0.02 0.01 0.03 0.03 ACB 2011 0.03 8.45 0.36 0.34 0.78 0.01 0.00 0.06 0.19 ACB 2012 0.04 8.25 0.57 0.20 0.88 0.02 -0.01 0.05 0.09 ACB 2013 0.03 8.22 0.63 0.08 0.91 0.02 0.01 0.05 0.07 ACB 2014 0.03 8.25 0.64 0.06 0.91 0.02 0.01 0.06 0.04 ACB 2015 0.03 8.30 0.66 0.09 0.92 0.02 0.00 0.07 0.01 ACB 2016 0.03 8.37 0.69 0.08 0.94 0.02 0.00 0.06 0.03 ACB 2017 0.03 8.45 0.69 0.08 0.94 0.02 0.01 0.07 0.04 ACB 2018 0.03 8.52 0.69 0.11 0.95 0.02 0.01 0.07 0.04 ACB 2019 0.03 8.58 0.69 0.13 0.95 0.02 0.01 0.07 0.03 ACB 2020 0.04 8.65 0.69 0.12 0.94 0.02 0.01 0.03 0.03 BAB 2011 0.03 7.38 0.70 0.12 0.90 0.02 0.00 0.06 0.19 BAB 2012 0.02 7.49 0.72 0.14 0.92 0.02 0.00 0.05 0.09 BAB 2013 0.03 7.70 0.58 0.06 0.90 0.01 0.00 0.05 0.07 BAB 2014 0.02 7.76 0.63 0.05 0.92 0.01 0.00 0.06 0.04 BAB 2015 0.02 7.80 0.65 0.05 0.93 0.01 0.00 0.07 0.01 BAB 2016 0.02 7.88 0.63 0.09 0.95 0.01 0.00 0.06 0.03 BAB 2017 0.02 7.96 0.60 0.17 0.96 0.01 0.00 0.07 0.04 BAB 2018 0.02 7.99 0.65 0.14 0.96 0.01 0.00 0.07 0.04 BAB 2019 0.02 8.03 0.67 0.15 0.96 0.01 0.00 0.07 0.03 BAB 2020 0.02 8.07 0.67 0.18 0.96 0.01 0.00 0.03 0.03 BaoVietBank 2011 0.03 7.12 0.50 0.31 0.96 0.02 0.01 0.06 0.19 BaoVietBank 2012 0.03 7.12 0.50 0.36 0.96 0.02 0.00 0.05 0.09 BaoVietBank 2013 0.03 7.23 0.47 0.40 0.97 0.02 0.00 0.05 0.07 BaoVietBank 2014 0.02 7.38 0.40 0.42 0.97 0.01 0.00 0.06 0.04 BaoVietBank 2015 0.02 7.49 0.42 0.26 0.96 0.01 0.00 0.07 0.01 BaoVietBank 2016 0.02 7.54 0.44 0.19 0.83 0.01 0.00 0.06 0.03 BaoVietBank 2017 0.02 7.69 0.44 0.23 0.96 0.01 0.00 0.07 0.04 60 BaoVietBank 2018 0.01 7.75 0.46 0.27 0.95 0.01 0.01 0.07 0.04 BaoVietBank 2019 0.01 7.78 0.41 0.36 0.96 0.01 0.00 0.07 0.03 BaoVietBank 2020 0.01 7.77 0.38 0.36 0.94 0.01 0.01 0.03 0.03 BID 2011 0.03 8.61 0.71 0.17 0.96 0.02 0.01 0.06 0.19 BID 2012 0.02 8.69 0.69 0.16 0.95 0.01 0.00 0.05 0.09 BID 2013 0.03 8.74 0.70 0.12 0.95 0.01 0.01 0.05 0.07 BID 2014 0.03 8.81 0.68 0.13 0.95 0.01 0.01 0.06 0.04 BID 2015 0.02 8.93 0.69 0.12 0.96 0.01 0.01 0.07 0.01 BID 2016 0.02 9.00 0.71 0.11 0.96 0.01 0.01 0.06 0.03 BID 2017 0.03 9.08 0.71 0.14 0.97 0.01 0.01 0.07 0.04 BID 2018 0.03 9.12 0.74 0.13 0.96 0.01 0.01 0.07 0.04 BID 2019 0.02 9.17 0.74 0.14 0.97 0.01 0.01 0.07 0.03 BID 2020 0.02 9.18 0.79 0.10 0.97 0.01 0.01 0.03 0.03 BVB 2011 0.03 7.23 0.26 0.29 0.89 0.01 0.01 0.06 0.19 BVB 2012 0.03 7.32 0.37 0.39 0.90 0.02 0.01 0.05 0.09 BVB 2013 0.02 7.36 0.43 0.31 0.89 0.02 0.01 0.05 0.07 BVB 2014 0.02 7.41 0.50 0.18 0.90 0.02 0.01 0.06 0.04 BVB 2015 0.02 7.46 0.54 0.16 0.94 0.02 0.00 0.07 0.01 BVB 2016 0.02 7.51 0.64 0.10 0.93 0.02 0.00 0.06 0.03 BVB 2017 0.02 7.60 0.62 0.16 0.92 0.02 0.00 0.07 0.04 BVB 2018 0.02 7.67 0.63 0.17 0.91 0.02 0.00 0.07 0.04 BVB 2019 0.02 7.71 0.65 0.20 0.92 0.02 0.00 0.07 0.03 BVB 2020 0.02 7.79 0.64 0.22 0.93 0.01 0.01 0.03 0.03 CTG 2011 0.05 8.66 0.63 0.18 0.95 0.02 0.01 0.06 0.19 CTG 2012 0.04 8.70 0.66 0.14 0.95 0.02 0.01 0.05 0.09 CTG 2013 0.03 8.76 0.65 0.15 0.94 0.02 0.01 0.05 0.07 CTG 2014 0.03 8.82 0.66 0.14 0.94 0.01 0.01 0.06 0.04 CTG 2015 0.03 8.89 0.68 0.11 0.95 0.01 0.01 0.07 0.01 CTG 2016 0.02 8.98 0.69 0.12 0.95 0.01 0.00 0.06 0.03 CTG 2017 0.03 9.04 0.71 0.13 0.95 0.01 0.01 0.07 0.04 CTG 2018 0.02 9.07 0.73 0.14 0.96 0.01 0.01 0.07 0.04 CTG 2019 0.03 9.09 0.74 0.13 0.96 0.01 0.01 0.07 0.03 CTG 2020 0.03 9.13 0.75 0.13 0.96 0.01 0.01 0.03 0.03 EIB 2011 0.03 8.26 0.40 0.40 0.92 0.01 0.01 0.06 0.19 EIB 2012 0.03 8.23 0.44 0.43 0.87 0.01 0.00 0.05 0.09 EIB 2013 0.02 8.23 0.49 0.36 0.94 0.01 0.00 0.05 0.07 EIB 2014 0.02 8.21 0.53 0.28 0.94 0.01 0.00 0.06 0.04 EIB 2015 0.03 8.10 0.67 0.10 0.92 0.02 0.00 0.07 0.01 EIB 2016 0.03 8.11 0.67 0.11 0.93 0.02 0.01 0.06 0.03 EIB 2017 0.02 8.17 0.67 0.14 0.94 0.01 0.01 0.07 0.04 61 EIB 2018 0.02 8.18 0.67 0.18 0.94 0.02 0.01 0.07 0.04 EIB 2019 0.02 8.22 0.67 0.20 0.94 0.02 0.01 0.07 0.03 EIB 2020 0.02 8.21 0.62 0.24 0.95 0.02 0.01 0.03 0.03 HDB 2011 0.04 7.65 0.30 0.26 0.78 0.01 0.00 0.06 0.19 HDB 2012 0.02 7.72 0.40 0.17 0.78 0.02 0.01 0.05 0.09 HDB 2013 0.00 7.94 0.50 0.17 0.82 0.01 0.01 0.05 0.07 HDB 2014 0.02 8.00 0.42 0.21 0.87 0.02 0.01 0.06 0.04 HDB 2015 0.03 8.03 0.52 0.16 0.87 0.02 0.01 0.07 0.01 HDB 2016 0.03 8.18 0.54 0.15 0.91 0.02 0.00 0.06 0.03 HDB 2017 0.04 8.28 0.55 0.16 0.94 0.02 0.01 0.07 0.04 HDB 2018 0.04 8.33 0.56 0.20 0.95 0.02 0.01 0.07 0.04 HDB 2019 0.05 8.36 0.63 0.16 0.94 0.02 0.01 0.07 0.03 HDB 2020 0.04 8.50 0.55 0.21 0.94 0.02 0.01 0.03 0.03 10 KLB 2011 0.05 7.25 0.47 0.29 0.92 0.02 0.00 0.06 0.19 10 KLB 2012 0.06 7.27 0.51 0.20 0.91 0.03 0.00 0.05 0.09 10 KLB 2013 0.05 7.33 0.56 0.19 0.91 0.03 0.02 0.05 0.07 10 KLB 2014 0.04 7.36 0.58 0.18 0.89 0.02 0.00 0.06 0.04 10 KLB 2015 0.04 7.40 0.64 0.11 0.87 0.02 0.00 0.07 0.01 10 KLB 2016 0.03 7.48 0.64 0.14 0.87 0.02 0.01 0.06 0.03 10 KLB 2017 0.03 7.57 0.66 0.18 0.89 0.02 0.00 0.07 0.04 10 KLB 2018 0.03 7.63 0.69 0.18 0.90 0.02 0.01 0.07 0.04 10 KLB 2019 0.02 7.71 0.65 0.27 0.92 0.02 0.00 0.07 0.03 10 KLB 2020 0.02 7.76 0.60 0.28 0.93 0.02 0.01 0.03 0.03 11 LPB 2011 0.04 7.75 0.23 0.38 0.90 0.02 0.00 0.06 0.19 11 LPB 2012 0.04 7.82 0.34 0.28 0.85 0.02 0.00 0.05 0.09 11 LPB 2013 0.03 7.90 0.36 0.23 0.87 0.01 0.00 0.05 0.07 11 LPB 2014 0.03 8.00 0.40 0.12 0.88 0.00 0.00 0.06 0.04 11 LPB 2015 0.03 8.03 0.52 0.07 0.89 0.01 0.00 0.07 0.01 11 LPB 2016 0.03 8.15 0.55 0.16 0.94 0.01 0.00 0.06 0.03 11 LPB 2017 0.03 8.21 0.61 0.15 0.95 0.02 0.00 0.07 0.04 11 LPB 2018 0.03 8.24 0.67 0.07 0.94 0.02 0.00 0.07 0.04 11 LPB 2019 0.03 8.31 0.69 0.10 0.95 0.02 0.00 0.07 0.03 11 LPB 2020 0.03 8.38 0.72 0.10 0.95 0.02 0.00 0.03 0.03 12 MBB 2011 0.04 8.14 0.42 0.36 0.92 0.01 0.00 0.06 0.19 12 MBB 2012 0.04 8.24 0.42 0.29 0.94 0.02 0.01 0.05 0.09 12 MBB 2013 0.04 8.26 0.48 0.20 0.93 0.02 0.01 0.05 0.07 12 MBB 2014 0.03 8.30 0.49 0.20 0.94 0.02 0.01 0.06 0.04 12 MBB 2015 0.04 8.34 0.54 0.19 0.94 0.02 0.01 0.07 0.01 12 MBB 2016 0.03 8.41 0.58 0.15 0.94 0.02 0.01 0.06 0.03 12 MBB 2017 0.04 8.50 0.58 0.21 0.95 0.02 0.01 0.07 0.04 62 12 MBB 2018 0.04 8.56 0.58 0.16 0.94 0.02 0.01 0.07 0.04 12 MBB 2019 0.05 8.61 0.60 0.14 0.94 0.02 0.02 0.07 0.03 12 MBB 2020 0.04 8.69 0.59 0.14 0.94 0.02 0.01 0.03 0.03 13 MSB 2011 0.02 8.06 0.33 0.27 0.90 0.01 0.01 0.06 0.19 13 MSB 2012 0.02 8.04 0.26 0.31 0.86 0.02 0.01 0.05 0.09 13 MSB 2013 0.02 8.03 0.25 0.25 0.82 0.02 0.01 0.05 0.07 13 MSB 2014 0.01 8.02 0.22 0.19 0.80 0.01 0.01 0.06 0.04 13 MSB 2015 0.02 8.02 0.26 0.15 0.86 0.02 0.01 0.07 0.01 13 MSB 2016 0.03 7.97 0.37 0.12 0.82 0.02 0.02 0.06 0.03 13 MSB 2017 0.02 8.05 0.32 0.13 0.83 0.02 0.01 0.07 0.04 13 MSB 2018 0.03 8.14 0.35 0.20 0.82 0.02 0.01 0.07 0.04 13 MSB 2019 0.02 8.20 0.40 0.17 0.85 0.02 0.01 0.07 0.03 13 MSB 2020 0.03 8.25 0.44 0.12 0.87 0.02 0.01 0.03 0.03 14 NAB 2011 0.03 7.28 0.36 0.23 0.74 0.01 0.01 0.06 0.19 14 NAB 2012 0.03 7.20 0.42 0.22 0.81 0.02 0.01 0.05 0.09 14 NAB 2013 0.02 7.46 0.40 0.28 0.90 0.01 0.01 0.05 0.07 14 NAB 2014 0.02 7.57 0.44 0.42 0.94 0.01 0.00 0.06 0.04 14 NAB 2015 0.03 7.55 0.58 0.23 0.93 0.02 0.00 0.07 0.01 14 NAB 2016 0.03 7.63 0.55 0.10 0.87 0.02 0.00 0.06 0.03 14 NAB 2017 0.02 7.74 0.65 0.12 0.95 0.02 0.01 0.07 0.04 14 NAB 2018 0.02 7.88 0.67 0.18 0.96 0.02 0.00 0.07 0.04 14 NAB 2019 0.02 7.98 0.70 0.17 0.94 0.02 0.00 0.07 0.03 14 NAB 2020 0.02 8.13 0.66 0.13 0.93 0.01 0.00 0.03 0.03 15 NVB 2011 0.04 7.35 0.57 0.19 0.86 0.02 0.00 0.06 0.19 15 NVB 2012 0.04 7.33 0.59 0.09 0.81 0.03 0.00 0.05 0.09 15 NVB 2013 0.02 7.46 0.46 0.21 0.83 0.02 0.00 0.05 0.07 15 NVB 2014 0.02 7.57 0.45 0.21 0.82 0.02 0.00 0.06 0.04 15 NVB 2015 0.02 7.68 0.42 0.18 0.82 0.01 0.00 0.07 0.01 15 NVB 2016 0.02 7.84 0.36 0.19 0.84 0.01 0.00 0.06 0.03 15 NVB 2017 0.02 7.86 0.44 0.17 0.84 0.01 0.00 0.07 0.04 15 NVB 2018 0.02 7.86 0.49 0.12 0.83 0.01 0.00 0.07 0.04 15 NVB 2019 0.02 7.91 0.47 0.20 0.83 0.01 0.00 0.07 0.03 15 NVB 2020 0.02 7.95 0.44 0.16 0.75 0.01 0.00 0.03 0.03 16 OCB 2011 0.04 7.41 0.54 0.18 0.87 0.02 0.00 0.06 0.19 16 OCB 2012 0.05 7.44 0.62 0.18 0.91 0.02 0.00 0.05 0.09 16 OCB 2013 0.04 7.52 0.61 0.15 0.92 0.02 0.00 0.05 0.07 16 OCB 2014 0.03 7.59 0.54 0.15 0.94 0.02 0.00 0.06 0.04 16 OCB 2015 0.03 7.69 0.56 0.15 0.94 0.02 0.00 0.07 0.01 16 OCB 2016 0.03 7.80 0.60 0.13 0.95 0.02 0.00 0.06 0.03 16 OCB 2017 0.03 7.93 0.57 0.21 0.96 0.02 0.00 0.07 0.04 63 16 OCB 2018 0.04 8.00 0.56 0.15 0.95 0.02 0.02 0.07 0.04 16 OCB 2019 0.04 8.07 0.60 0.18 0.96 0.02 0.02 0.07 0.03 16 OCB 2020 0.03 8.18 0.58 0.15 0.94 0.02 0.02 0.03 0.03 17 PGB 2011 0.07 7.25 0.68 0.14 0.92 0.03 0.00 0.06 0.19 17 PGB 2012 0.05 7.28 0.70 0.16 0.95 0.03 0.01 0.05 0.09 17 PGB 2013 0.02 7.40 0.55 0.29 0.95 0.02 0.02 0.05 0.07 17 PGB 2014 0.03 7.41 0.56 0.27 0.95 0.02 0.01 0.06 0.04 17 PGB 2015 0.03 7.39 0.64 0.15 0.94 0.02 0.01 0.07 0.01 17 PGB 2016 0.03 7.39 0.70 0.08 0.94 0.02 0.01 0.06 0.03 17 PGB 2017 0.03 7.47 0.72 0.09 0.94 0.02 0.01 0.07 0.04 17 PGB 2018 0.03 7.48 0.73 0.08 0.93 0.02 0.01 0.07 0.04 17 PGB 2019 0.03 7.50 0.74 0.10 0.94 0.02 0.01 0.07 0.03 17 PGB 2020 0.03 7.56 0.70 0.19 0.95 0.02 0.01 0.03 0.03 18 SCB 2011 0.01 8.16 0.44 0.07 0.60 0.00 0.00 0.06 0.19 18 SCB 2012 0.03 8.17 0.58 0.06 0.69 0.02 0.00 0.05 0.09 18 SCB 2013 0.02 8.26 0.49 0.07 0.69 0.01 0.00 0.05 0.07 18 SCB 2014 0.01 8.38 0.55 0.07 0.80 0.01 0.00 0.06 0.04 18 SCB 2015 0.02 8.49 0.54 0.08 0.82 0.01 0.00 0.07 0.01 18 SCB 2016 0.01 8.56 0.61 0.05 0.82 0.01 0.00 0.06 0.03 18 SCB 2017 0.00 8.65 0.59 0.27 1.02 0.01 0.01 0.07 0.04 18 SCB 2018 0.01 8.71 0.59 0.07 0.77 0.01 0.01 0.07 0.04 18 SCB 2019 0.01 8.75 0.58 0.08 0.78 0.01 0.01 0.07 0.03 18 SCB 2020 0.01 8.80 0.55 0.05 0.71 0.01 0.00 0.03 0.03 19 SGB 2011 0.06 7.19 0.71 0.11 0.90 0.02 0.01 0.06 0.19 19 SGB 2012 0.07 7.17 0.72 0.09 0.89 0.03 0.01 0.05 0.09 19 SGB 2013 0.05 7.17 0.72 0.07 0.90 0.03 0.01 0.05 0.07 19 SGB 2014 0.05 7.20 0.70 0.06 0.89 0.02 0.01 0.06 0.04 19 SGB 2015 0.04 7.25 0.65 0.11 0.90 0.02 0.00 0.07 0.01 19 SGB 2016 0.04 7.28 0.65 0.13 0.91 0.02 0.01 0.06 0.03 19 SGB 2017 0.03 7.33 0.66 0.19 0.92 0.02 0.00 0.07 0.04 19 SGB 2018 0.04 7.31 0.67 0.17 0.92 0.02 0.01 0.07 0.04 19 SGB 2019 0.03 7.36 0.63 0.26 0.93 0.02 0.01 0.07 0.03 19 SGB 2020 0.03 7.38 0.64 0.27 0.93 0.02 0.01 0.03 0.03 20 SHB 2011 0.03 7.85 0.41 0.27 0.89 0.02 0.00 0.06 0.19 20 SHB 2012 0.02 8.07 0.48 0.29 0.87 0.01 0.01 0.05 0.09 20 SHB 2013 0.02 8.16 0.52 0.23 0.88 0.01 0.00 0.05 0.07 20 SHB 2014 0.02 8.23 0.61 0.20 0.89 0.01 0.00 0.06 0.04 20 SHB 2015 0.02 8.31 0.64 0.18 0.89 0.01 0.00 0.07 0.01 20 SHB 2016 0.02 8.37 0.69 0.15 0.91 0.01 0.00 0.06 0.03 20 SHB 2017 0.02 8.46 0.68 0.14 0.89 0.01 0.01 0.07 0.04 64 20 SHB 2018 0.02 8.51 0.66 0.11 0.92 0.01 0.00 0.07 0.04 20 SHB 2019 0.02 8.56 0.72 0.12 0.90 0.01 0.00 0.07 0.03 20 SHB 2020 0.03 8.62 0.73 0.12 0.91 0.01 0.01 0.03 0.03 21 SSB 2011 0.01 8.00 0.19 0.61 0.82 0.01 0.00 0.06 0.19 21 SSB 2012 0.02 7.88 0.22 0.52 0.95 0.01 0.00 0.05 0.09 21 SSB 2013 0.01 7.90 0.26 0.42 0.90 0.01 0.00 0.05 0.07 21 SSB 2014 0.01 7.90 0.39 0.37 0.92 0.01 0.00 0.06 0.04 21 SSB 2015 0.01 7.93 0.50 0.22 0.92 0.01 0.00 0.07 0.01 21 SSB 2016 0.02 8.01 0.57 0.18 0.93 0.01 0.00 0.06 0.03 21 SSB 2017 0.02 8.10 0.56 0.21 0.94 0.01 0.00 0.07 0.04 21 SSB 2018 0.02 8.15 0.59 0.21 0.94 0.01 0.00 0.07 0.04 21 SSB 2019 0.02 8.20 0.62 0.20 0.94 0.01 0.01 0.07 0.03 21 SSB 2020 0.02 8.26 0.60 0.18 0.95 0.01 0.01 0.03 0.03 22 STB 2011 0.05 8.15 0.56 0.17 0.83 0.03 0.01 0.06 0.19 22 STB 2012 0.05 8.18 0.62 0.15 0.85 0.03 0.00 0.05 0.09 22 STB 2013 0.05 8.21 0.68 0.11 0.89 0.03 0.01 0.05 0.07 22 STB 2014 0.04 8.28 0.67 0.11 0.89 0.02 0.01 0.06 0.04 22 STB 2015 0.03 8.47 0.63 0.06 0.80 0.02 0.01 0.07 0.01 22 STB 2016 0.01 8.52 0.59 0.05 0.82 0.02 0.01 0.06 0.03 22 STB 2017 0.02 8.57 0.60 0.05 0.83 0.02 0.01 0.07 0.04 22 STB 2018 0.02 8.61 0.62 0.05 0.85 0.02 0.01 0.07 0.04 22 STB 2019 0.02 8.66 0.64 0.07 0.87 0.02 0.01 0.07 0.03 22 STB 2020 0.03 8.69 0.68 0.07 0.89 0.02 0.01 0.03 0.03 23 TCB 2011 0.03 8.26 0.35 0.29 0.88 0.01 0.01 0.06 0.19 23 TCB 2012 0.03 8.26 0.37 0.23 0.84 0.02 0.00 0.05 0.09 23 TCB 2013 0.03 8.20 0.43 0.14 0.87 0.02 0.01 0.05 0.07 23 TCB 2014 0.04 8.25 0.45 0.14 0.89 0.02 0.01 0.06 0.04 23 TCB 2015 0.04 8.28 0.58 0.12 0.92 0.02 0.01 0.07 0.01 23 TCB 2016 0.04 8.37 0.60 0.15 0.93 0.02 0.02 0.06 0.03 23 TCB 2017 0.04 8.43 0.59 0.16 0.93 0.02 0.03 0.07 0.04 23 TCB 2018 0.04 8.51 0.49 0.18 0.93 0.02 0.02 0.07 0.04 23 TCB 2019 0.04 8.58 0.59 0.17 0.93 0.02 0.02 0.07 0.03 23 TCB 2020 0.05 8.64 0.63 0.12 0.93 0.02 0.02 0.03 0.03 24 TPB 2011 -0.01 7.40 0.14 0.35 0.82 0.05 0.01 0.06 0.19 24 TPB 2012 0.02 7.18 0.40 0.17 0.93 0.02 0.02 0.05 0.09 24 TPB 2013 0.02 7.51 0.37 0.20 0.94 0.01 0.01 0.05 0.07 24 TPB 2014 0.02 7.71 0.38 0.32 0.97 0.01 0.00 0.06 0.04 24 TPB 2015 0.02 7.88 0.37 0.29 0.93 0.01 0.00 0.07 0.01 24 TPB 2016 0.02 8.03 0.43 0.24 0.95 0.01 0.00 0.06 0.03 24 TPB 2017 0.03 8.09 0.51 0.21 0.91 0.02 0.00 0.07 0.04 65 24 TPB 2018 0.04 8.13 0.56 0.16 0.90 0.02 0.01 0.07 0.04 24 TPB 2019 0.04 8.22 0.57 0.19 0.91 0.02 0.02 0.07 0.03 24 TPB 2020 0.04 8.31 0.57 0.12 0.91 0.02 0.01 0.03 0.03 25 VAB 2011 0.03 7.35 0.51 0.16 0.75 0.01 0.01 0.06 0.19 25 VAB 2012 0.02 7.39 0.52 0.15 0.73 0.01 0.01 0.05 0.09 25 VAB 2013 0.02 7.43 0.53 0.09 0.84 0.01 0.00 0.05 0.07 25 VAB 2014 0.01 7.55 0.44 0.09 0.86 0.01 0.00 0.06 0.04 25 VAB 2015 0.03 7.62 0.48 0.13 0.87 0.01 -0.01 0.07 0.01 25 VAB 2016 0.01 7.79 0.49 0.20 0.91 0.01 0.00 0.06 0.03 25 VAB 2017 0.02 7.81 0.53 0.20 0.92 0.01 0.00 0.07 0.04 25 VAB 2018 0.02 7.85 0.53 0.22 0.92 0.01 0.00 0.07 0.04 25 VAB 2019 0.01 7.88 0.60 0.19 0.97 0.01 0.00 0.07 0.03 25 VAB 2020 0.02 7.94 0.55 0.20 0.90 0.01 0.01 0.03 0.03 26 VCB 2011 0.04 8.56 0.56 0.33 0.96 0.02 0.01 0.06 0.19 26 VCB 2012 0.03 8.62 0.57 0.21 0.96 0.01 0.01 0.05 0.09 26 VCB 2013 0.02 8.67 0.57 0.26 0.96 0.01 0.01 0.05 0.07 26 VCB 2014 0.02 8.76 0.55 0.31 0.96 0.01 0.01 0.06 0.04 26 VCB 2015 0.02 8.83 0.56 0.25 0.97 0.01 0.01 0.07 0.01 26 VCB 2016 0.02 8.90 0.57 0.23 0.97 0.01 0.01 0.06 0.03 26 VCB 2017 0.02 9.02 0.52 0.33 0.97 0.01 0.01 0.07 0.04 26 VCB 2018 0.03 9.03 0.58 0.26 0.97 0.01 0.01 0.07 0.04 26 VCB 2019 0.03 9.09 0.59 0.25 0.97 0.01 0.01 0.07 0.03 26 VCB 2020 0.03 9.12 0.62 0.24 0.97 0.01 0.01 0.03 0.03 27 VIB 2011 0.04 7.99 0.44 0.32 0.96 0.02 0.00 0.06 0.19 27 VIB 2012 0.05 7.81 0.51 0.15 0.87 0.03 0.00 0.05 0.09 27 VIB 2013 0.03 7.89 0.45 0.12 0.85 0.02 0.01 0.05 0.07 27 VIB 2014 0.03 7.91 0.46 0.12 0.92 0.02 0.01 0.06 0.04 27 VIB 2015 0.03 7.93 0.56 0.10 0.96 0.02 0.01 0.07 0.01 27 VIB 2016 0.03 8.02 0.57 0.13 0.97 0.02 0.01 0.06 0.03 27 VIB 2017 0.03 8.09 0.64 0.12 0.96 0.02 0.01 0.07 0.04 27 VIB 2018 0.04 8.14 0.68 0.09 0.97 0.02 0.01 0.07 0.04 27 VIB 2019 0.03 8.27 0.69 0.13 0.97 0.02 0.01 0.07 0.03 27 VIB 2020 0.04 8.39 0.69 0.12 0.97 0.02 0.01 0.03 0.03 28 VPB 2011 0.03 7.92 0.35 0.32 0.89 0.02 0.01 0.06 0.19 28 VPB 2012 0.03 8.01 0.36 0.30 0.86 0.02 0.00 0.05 0.09 28 VPB 2013 0.04 8.08 0.43 0.19 0.85 0.02 0.01 0.05 0.07 28 VPB 2014 0.04 8.21 0.47 0.14 0.90 0.02 0.01 0.06 0.04 28 VPB 2015 0.06 8.29 0.59 0.11 0.94 0.03 0.01 0.07 0.01 28 VPB 2016 0.07 8.36 0.62 0.07 0.93 0.03 0.01 0.06 0.03 28 VPB 2017 0.08 8.44 0.65 0.10 0.93 0.03 0.02 0.07 0.04 66 28 VPB 2018 0.08 8.51 0.68 0.10 0.93 0.03 0.02 0.07 0.04 28 VPB 2019 0.09 8.58 0.67 0.07 0.92 0.03 0.02 0.07 0.03 28 VPB 2020 0.08 8.58 0.76 0.08 1.03 0.03 0.02 0.03 0.03 29 AGR 2011 0.05 8.75 0.77 0.11 0.94 0.03 0.01 0.06 0.19 29 AGR 2012 0.04 8.79 0.78 0.12 0.97 0.04 0.01 0.05 0.09 29 AGR 2013 0.03 8.84 0.74 0.11 0.95 0.02 0.01 0.05 0.07 29 AGR 2014 0.03 8.88 0.71 0.09 0.95 0.02 0.01 0.06 0.04 29 AGR 2015 0.03 8.94 0.71 0.13 0.96 0.02 0.01 0.07 0.01 29 AGR 2016 0.03 9.00 0.73 0.08 0.96 0.02 0.01 0.06 0.03 29 AGR 2017 0.03 9.06 0.75 0.10 0.97 0.02 0.01 0.07 0.04 29 AGR 2018 0.03 9.11 0.77 0.09 0.97 0.02 0.01 0.07 0.04 29 AGR 2019 0.03 9.16 0.76 0.13 0.97 0.02 0.01 0.07 0.03 29 AGR 2020 0.03 9.20 0.76 0.16 0.97 0.02 0.01 0.03 0.03 ... đề tài ? ?Các nhân tố ảnh hƣởng đến biên lãi ròng hệ thống Ngân hàng Thƣơng mại Việt Nam" 1.2 Mục tiêu nghiên cứu Nghiên cứu nhân tố ảnh hƣởng mức độ ảnh hƣởng đến biên lãi ròng NHTM Việt Nam Từ... ĐÀO TẠO NGÂN HÀNG NHÀ NƢỚC VIỆT NAM TRƢỜNG ĐẠI HỌC NGÂN HÀNG TP.HỒ CHÍ MINH ĐÀO TRUNG ANH CÁC NHÂN TỐ ẢNH HƢỞNG ĐẾN BIÊN LÃI RÕNG CỦA HỆ THỐNG NGÂN HÀNG THƢƠNG MẠI VIỆT NAM KHĨA LUẬN TỐT NGHIỆP... hàng thƣơng mại Việt Nam Trong nhân tố đó, nhân tố nhân tố bên nhân tố nhân tố bên Làm rõ tác động biến đến biên lãi ròng Đề giải pháp giúp ngân hàng thƣơng mại cải thiện biên lai ròng nhằm