Ước lượng hệ số beta vốn chủ và beta tài sản của ngành dịch vụ tài chính và đầu tư ở Việt Nam thời kỳ hậu lạm phát thấp 2015-2017
Tóm tắt
Bài báo này ước lượng sự biến động của rủi ro thị trường trong nhóm các công ty Dịch vụ tài chính
và đầu tư Việt Nam sau thời kỳ lạm phát thấp (2015-2017). Lý do chính là vai trò thiết yếu của hệ
thống nhóm Công ty Dịch vụ tài chính và Đầu tư trong sự phát triển và tăng trưởng kinh tế trong
những năm qua luôn đi đôi với các chính sách rủi ro và kiểm soát rủi ro.
Do vậy, bài nghiên cứu này hướng đến việc xác định đo lường mức tăng, giảm rủi ro thị trường
của các công ty thuộc nhóm Dịch vụ tài chính và Đầu tư trong môi trường hậu lạm phát thấp 2015-
2017. Đầu tiên, bằng cách sử dụng phương pháp định lượng kết hợp với phân tích dữ liệu so sánh,
chúng tôi tìm ra mức rủi ro được đo bằng giá trị trung bình beta trong ngành Dịch vụ tài chính và
Đầu tư là chấp nhận được, vì nó thấp hơn 1
Tóm tắt nội dung tài liệu: Ước lượng hệ số beta vốn chủ và beta tài sản của ngành dịch vụ tài chính và đầu tư ở Việt Nam thời kỳ hậu lạm phát thấp 2015-2017

Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 27 ASSET AND EQUITY BETA OF VIET NAM INVESTMENT AND FINANCIAL SERVICE INDUSTRY AFTER LOW INFLATION PERIOD 2015-2017 ƯỚC LƯỢNG HỆ SỐ BETA VỐN CHỦ VÀ BETA TÀI SẢN CỦA NGÀNH DỊCH VỤ TÀI CHÍNH VÀ ĐẦU TƯ Ở VIỆT NAM THỜI KỲ HẬU LẠM PHÁT THẤP 2015-2017 Đinh Trần Ngọc Huy1 Ngày nhận bài: 02/9/2019 Ngày chấp nhận đăng: 28/10/2019 Ngày đăng: 05/04/2020 Tóm tắt Bài báo này ước lượng sự biến động của rủi ro thị trường trong nhóm các công ty Dịch vụ tài chính và đầu tư Việt Nam sau thời kỳ lạm phát thấp (2015-2017). Lý do chính là vai trò thiết yếu của hệ thống nhóm Công ty Dịch vụ tài chính và Đầu tư trong sự phát triển và tăng trưởng kinh tế trong những năm qua luôn đi đôi với các chính sách rủi ro và kiểm soát rủi ro. Do vậy, bài nghiên cứu này hướng đến việc xác định đo lường mức tăng, giảm rủi ro thị trường của các công ty thuộc nhóm Dịch vụ tài chính và Đầu tư trong môi trường hậu lạm phát thấp 2015- 2017. Đầu tiên, bằng cách sử dụng phương pháp định lượng kết hợp với phân tích dữ liệu so sánh, chúng tôi tìm ra mức rủi ro được đo bằng giá trị trung bình beta trong ngành Dịch vụ tài chính và Đầu tư là chấp nhận được, vì nó thấp hơn 1. Bên cạnh đó, một trong những phát hiện chính của bài nghiên cứu là so sánh giữa mức độ rủi ro của ngành Dịch vụ tài chính và Đầu tư với các hệ số rủi ro ngành đầu tư chứng khoán. Trên thực tế, kết quả nghiên cứu cho chúng ta thấy mức độ rủi ro thị trường của nhóm công ty Dịch vụ tài chính và Đầu tư trong thời kỳ hậu lạm phát thấp là thấp hơn (giá trị trung bình beta = 0.412 < 0.622). Cuối cùng, bài viết này cung cấp một số ý tưởng cho các công ty và Chính phủ nhiều bằng chứng hơn trong việc thiết lập các chính sách của họ trong quản trị. Đây là nhiệm vụ tương đối phức tạp nhưng kết quả nghiên cứu cho chúng ta cảnh báo rằng biến động rủi ro thị trường cần được kiểm soát tốt hơn trong giai đoạn hậu lạm phát thấp 2015-2017. Trong phần kết luận của chúng tôi sẽ đề xuất một số chính sách và kế hoạch để đối phó với nó. Chẳng hạn như các công ty cần nhận diện, đo lường và kiểm soát rủi ro tốt hơn cả từ môi trường bên trong và bên ngoài. Từ khóa: Quản trị rủi ro, beta tài sản, khủng hoảng, lạm phát thấp, nhóm ngành dịch vụ đầu tư, chính sách ____________________________________________________ 1 Trường Đại học Ngân hàng, Thành phố Hồ Chí Minh Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 28 active in the capital market, together with loan growth of banking system about 16-18% per year (see exhibit 2) and strong efforts of stock investment firms. Vietnam companies need not only loans from banks, but also medium to long term capital from investment funds. Investment & Development Companies have been affected by inflation (see more in the below conceptual theories part). In general, central banks aim to maintain inflation around 2% to 3%. Increases in inflation significantly beyond this range can lead to possible hyperinflation, a devastating scenario in which inflation rises rapidly out of control, and therefore harm the investment industry. Looking at exhibit 1, we 1. Introduction Throughout many recent years (2006 until now), Viet Nam Investment Company group is evaluated as one of active markets, providing financial service, consulting as well as economic and market analysis to connect capital supply and demand, which has certain positive effect for the economy and become one of vital players in the financial system of the nation. These companies are diversifying their portfolio and performing careful due diligence to increase their net worth or return on equity. Vietnam GDP growth is around 6 - 7% per year which shows a positive sign for investment companies to participate more Abstract This paper measures the volatility of market risk in Viet Nam Investment & Development Company group after this period (2015-2017). The main reason is the necessary role of the of Investment Company group system in Vietnam in the economic development and growth in recent years always go with risk potential and risk control policies. Hence, this research paper aims to figure out how much increase or decrease in the market risk of Vietnam of Investment Company group firms during the post-low inflation environment 2015-2017. First, by using quantitative combined with comparative data analysis method, we find out the risk level measured by equity beta mean in the investment & development industry is acceptable, as it is lower than (<) 1. Then, one of the major findings is the comparison between risk level of stock investment industry compared to those of Investment & Development Company group in the post-low inflation time 2015-2017. In fact, the research findings show us market risk level of investment group during the post-low inflation time is lower (equity beta mean = 0.412 < 0.622). Finally, this paper provides some ideas that could provide companies and government more evidence in establishing their policies in governance. This is the complex task but the research results show us warning that the market risk need to be controlled better during the post-low inflation period 2015-2017. And our conclusion part will recommend some policies and plans to deal with it. For instance, these investment companies need to enhance their corporate governance structure to reduce internal and external risks. JEL classification numbers: G010, G390 Keywords: Risk management, asset beta, financial crisis, Investment Company group, policy Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 29 leverage and higher loss absorption capacity of capital. Zhi et al. (2012) argue that the empirical evidence against the capital asset pricing model (CAPM) based on stock returns does not invalidate its use for estimating the cost of capital for projects in making capital budgeting decisions. Najeb (2013) suggested a positive relationship between efficient stock markets and economic growth, both in short run and long run and there is evidence of an indirect transmission mechanism through the effect of stock market development on investment. Yener et al. (2014) found evidence showing that unusually low interest rates over an extended period of time contributed to an increase in banks’ risk. Emilios (2015) mentioned that bank leverage ratios are primarily seen as a microprudential measure that intends to increase bank resilience. Yet in today’s environment of excessive liquidity due to very low interest rates and quantitative easing, bank leverage ratios should also be viewed as a key part of the macroprudential framework. As such, it explains the role of the leverage cycle in causing financial instability and sheds light on the impact of leverage restraints on good bank governance and allocative efficiency. Atousa and Shima (2015) found out the econometric results indicate that life insurance sector growth contributes positively to economic growth. Then, Gunarathna (2016) revealed that financial leverage positively correlate with financial risk. However, firm size negatively affects the financial risk. Aykut (2016) suggested two main findings: (i) Credit risk and Foreign exchange rate have a positive and significant effect, but interest rate has insignificant effect on banking sector profitability, (ii) credit and market risk have a positive and significant effect on conditional bank stock return volatility. can see the Vietnam economy has controlled inflation well. Additionally, investment firms tend to have a “risk-reward” viewpoint in their strategy, higher risk requires higher return, but sometimes higher risks lead to lower reward. This study will calculate and figure out whether the market risk level during the post-low inflation time (2015) has increased or decreased, compared to those statistics in the stock investment industry. Estimation of the volatility of market risk will give us a risk measurement point on how much is risk tolerance for investors’ selected portfolio. Research Issues The scope of this study are: Issue 1: Whether the risk level of Investment & Development firms under the different changing scenarios in post-low inflation period 2015-2017 high or low, compared to those in stock investment industry? Issue 2: Because Viet Nam is an emerging and immature financial market and the stock market still in the starting stage, whether the dispersed distribution of beta values become large in the post-low inflation period in the Investment & Development Company group. The paper is organized as follows: after the introduction it is the research issues, literature review, conceptual theories and methodology. Next, section 3 will cover main research findings/results. Section 4 gives us some risk analysis, then section 5 presents discussion and conclusion and policy suggestion will be in the section 6. 2. Body of manuscript 2.1. Literature review First, Martin and Sweder (2012) pointed out that incentives embedded in the capital structure of banks contribute to systemic fragility, and so support the Basel III proposals towards less Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 30 measure asset and equity beta in these 2 industries and proposes some policies to reduce risk. 2.2. Conceptual theories during low inflation environment Positive sides of low inflation: Low (not negative) inflation reduces the potential of economic recession by enabling the labor market to adjust more quickly in a downturn, and reduces the risk that a liquidity trap prevents monetary policy from stabilizing the economy. This is explaining why many economists nowadays prefer a low and stable rate of inflation. It will help investment, encourage exports and prevent boom economy. The central bank can use monetary policies, for instance, increasing interest rates to reduce lending, control money supply or the Ministry of finance and the government can use tight fiscal policy (high tax) to achieve low inflation. Negative side of low inflation: it leads to low aggregate demand and economic growth, recession potential and high unemployment. Production becomes less vibrant. Low inflation makes real wages higher. Workers can thus reduce the supply of labor and increase rest time. On the other hand, low product prices reduce production motivation. The central bank might consider using monetary policy to stimulate the economic growth during low-inflation environment. It means that an expansionary monetary policy can be used to increase the volume of bank loans to stimulate the economy. Financial and credit risk in the bank system can increase when the financial market becomes more active and bigger, esp. with more international linkage influence. Hence, central banks, commercial banks, organizations and the government need to organize data to analyze and control these risks, including market risk. Next, Riet (2017) mentioned that after the euro area crisis had subsided, the Governing Council of the ECB still faced a series of complex and evolving monetary policy challenges. As market volatility abated, but deflationary pressures emerged, the main task as from June 2014 became to design a sufficiently strong monetary stimulus that could reach market segments that were deprived of credit at reasonable costs and to counter the risk of a too prolonged period of low inflation. Hami (2017) showed that inflation has a negatively significant effect on financial depth and also positively significant effect on the ratio of total deposits in banking system to nominal GDP in Iran during the observation period. In addition to, Chizoba et al. (2018) revealed that inflation rate had a positive but insignificant effect on insurance penetration of the Nigerian insurance industry. The implication is that the macroeconomic variable (inflation) increase the level of insurance penetration in Nigerian insurance industry but it increase was not significant. And Miguel et al. (2018) found a consistently negative and nonlinear effect of price increases on financial variables; in particular, it is statistically significant in the full sample of countries, significant in developing countries, and insignificant in developed countries. Finally, research results show that market risk indicators have a negative and significant influence on the companies’ financial performance. Therefore, decision-makers and managers should mitigate market risk through appropriate strategies of risk management, such as derivatives and insurance techniques. (Kassi et al. 2019). Hence, there are no researches so far which have been done in measuring and comparing market risk in investment industry and stock investment industry. This paper helped to Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 31 summary method to generate analytical results from data calculated. Finally, we use the results to suggest policy for both these enterprises, relevant organizations and government. Macro policies and business policies for investment companies play a directive role in reducing internal and external risks. 3. Main Findings 3.1. General Data Analysis We get some analytical results form the research sample with 7 listed firms in the Investment & Development Company group with the live date from the stock exchange. There are several more investment companies in the Viet Nam financial market, however, our study scopy is selecting 7 investment firms who are listed in Viet Nam stock exchange to analyze asset and equity beta. 3.2. Findings and Discussion In the below section, data used are from total 7 listed Investment & Development companies on VN stock exchange (HOSE and HNX mainly). Different scenarios are created by comparing the calculation risk data between 2 groups: Stock firms and investment firms during the post – low inflation environment 2015-2017. Market risk (beta) under the impact of tax rate, includes: 1) equity beta; and 2) asset beta. We model our data analysis as in the below figure: For the investment industry, high inflation may harm the investment companies and cause higher losses and increase the operational costs. In case of low inflation, interest rates may fall and hence, it is not a benefit for insurers’ investment portfolio. Hence, risk assessment and control mechanisms are necessary for insurers to reduce these losses. Moreover, as market risk or beta is a kind of systematic risk or undiversifiable risk which affects the overall market, the role of measuring equity and asset beta in a specific industry such as investment group is acceptable. 2.3. Methodology and data We use the data from the stock exchange market in Viet Nam (HOSE and HNX) during the post – low inflation time 2015-2017 to estimate systemic risk results. We perform both fundamental data analysis and financial techniques to calculate equity and asset beta values. In this study, analytical research method and specially, comparative analysis method is used, combined with quantitative data analysis. Analytical data is from the situation of listed of Investment & Development firms in Viet Nam stock exchange. Specifically, stock price data is from live data on HOSE stock exchange during 3 years 2015-2017, which presents the low inflation environment. Then, we use both analytical and Table 0. Analyzing market risk under two (2) groups of firms during post – low inflation period 2015-2017 Post – low inflation period Risk level (equity beta) Risk level (asset beta) Other measures Gap Investment and Development group Scenario Scenario .. Scenario .. Analysis Stock investment group Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 32 Table 1. The Volatility of Market Risk (beta) of Investment & Development Company group in the post - low inflation environment 2015-2017 2015-2017 (post - low inflation) Order No. Company stock code Equity beta Asset beta (assume debt beta = 0) Note 1 FDC -0.629 0.091 assume debt beta = 0; debt ratio as in F.S 2015 2 FID 0.816 0.088 3 FIT 2.423 0.085 4 SJF -0.515 0.091 5 FTM 0.210 0.090 6 HHS 0.510 0.089 7 BII 0.072 0.090 Table 2. The Statistics of Volatility of Market Risk (beta) of Investment & Development Company group in the post- low inflation environment 2015-2017 2015-2017 (post - low inflation) Statistic results Equity beta Asset beta (assume debt beta = 0) MAX 2.423 0.091 MIN -0.629 0.085 MEAN 0.412 0.089 VAR 1.0530 0.0000 Note: Sample size : 7 (We just take a sample of 7 firms to make comparison) Table 3. The Comparison of Statistics of Volatility of Market Risk (beta) of Investment & Development Company group and those in Stock industry in the post - low inflation environment 2015-2017 and the financial crisis 2007-2009 Stock investment group Investment and development group GAP (+/-) Investment compared to Stock group Statistic results Equity beta Asset beta (assume debt beta = 0) Equity beta Asset beta (assume debt beta = 0) Equity beta Asset beta (assume debt beta = 0) MAX 1.104 0.835 2.423 0.091 1.320 -0.743 MIN -0.169 -0.069 -0.629 0.085 -0.460 0.154 MEAN 0.622 0.404 0.412 0.089 -0.209 -0.315 VAR 0.156 0.077 1.053 0.000 0.897 -0.077 Note: Sample size: 7 Based on the above calculation result table, we analyze data as follows: Firstly, we note in the table 1 that there is only 1 investment firm (over 7 selected investment companies) have equity beta value much higher (>) than 1 (2.423) while there are 4 companies with beta <1 (FID, FTM, HHS, BII), which means risk level acceptable. And 2 firms with negative equity beta values. Then, table 2 provides evidence for us to see that equity beta mean of the sample is 0.412, quite lower than (<) 1. It is acceptable. Also, all asset beta values of firms are quite small. Furthermore, table 3 tells us value of equity beta mean of investment group in the post-low inflation 2015-2017 is lower (<) than those of stock investment industry. However, the risk fluctuation measured by equity beta var Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 33 Compared to stock investment group, Equity beta max and equity beta var are much higher than in the investment industry while asset and equity beta mean values are lower. The average risk in the whole investment industry is acceptable despite of high equity beta max (2.423). in investment group is much higher (1.053 > 0.156). It means that the level of risk in the post – low inflation period 2015-17 is lower in average. In addition to, looking at the below chart 1- , we can find out: 1.104 0.835 0.622 0.404 0.1559 0.0772 2.423 0.091 0.412 0.089 1.053 0.000 0.000 0.500 1.000 1.500 2.000 2.500 3.000 Equity Beta Max Asset Beta Max Equity Beta Mean Asset Beta Mean Equity Beta VAR Asset Beta VAR Stock investment group Investment & Develop. Group Chart 1. Statistics of Market risk (beta) in VN stock investment industry in the post – low inflation period 2015-2017 compared to those in Investment & Development group 4. Risk analysis Inflation can affect negatively on market capitalization, but low inflation could be beneficial to economic recovery and might have benefits for financial system as investors can perform more transactions. Risk attitude affects investment firms’ behavior, although higher risk needs higher reward, but the riskier, the costlier for them. Once again, as we see from the above chart 1, risk tends to decline (shown by equity and asset beta mean) in investment group, but when investors invest more money, they still need to measure and control these risks. Furthermore, looking at exhibit 4, we see that bank lending rate is also stable and declines little during low inflation time 2015-17, it also reduce financial risk for firms and vice versa, they will demand more benefits from investment firms. So investment firms need to handle this challenge also. 5. Discussion for further researches We can continue to analyze risk factors behind the risk scene (risk increasing as above analysis) in order to recommend suitable policies and plans to control market risk better. Also, the role of risk management and risk managers need to be developed more. 6. Conclusion and Policy Implication In general, Investment & Development group system in Vietnam has been contributing significantly to the economic development and GDP growth rate of more than 6-7% in recent years (see Exhibit 2). The above Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 34 more stable in next development stage. An academic and practical contribution of this paper is that investors may select proper investee, in an investment portfolio, with low suitable risk level (and avoid high risk investment), but with growth potential and ROI. The combination of risk appraisal and profits evaluation from firm strategy will help investors to ensure expected ROI. Finally, this study opens some new directions for further researches in risk control policies in Investment & Development group, bank system as well as in the whole economy. For instance, how increasing inflation and deflation affects the risk level of Investment & Development group and how much inflation is sufficient for financial system and economic development. ACKNOWLEDGEMENTS I would like to take this opportunity to express my warm thanks to Board of Editors and Colleagues at Citibank –HCMC, SCB and BIDV-HCMC, Dr. Chen and Dr. Yu Hai-Chin at Chung Yuan Christian University for class lectures, also Dr Chet Borucki, Dr Jay and my ex-Corporate Governance sensei, Dr. Shingo Takahashi at International University of Japan. My sincere thanks are for the editorial office, for their work during my research. Also, my warm thanks are for Dr. Ngo Huong, Dr. Ho Dieu, Dr. Ly H. Anh, Dr Nguyen V. Phuc, Dr Le Si Dong and my lecturers at Banking University – HCMC, Viet Nam for their help. Lastly, thank you very much for my family, colleagues, Dad and Mum and brother in assisting convenient conditions for my research paper. analysis shows us that most of risk measures (equity beta max, mean and var) are decreasing during the post-low inflation period. However, Investment & Development group in Vietnam need to continue to increase their corporate governance system, structure and mechanisms, as well as their competitive advantage to control risk better. For instance, Investment & Development group might consider proper measures and plans to manage bad scenarios in future. Another way is increasing productivity while reducing management or operational costs. Furthermore, these firms need to invest into selective investment portfolio and choose a suitable investment strategy over long term to reduce risk. This research paper provides evidence that the market risk potential has been lower in 2015-2017 post-low inflation period (looking again chart 1 – equity beta mean values), while the Exhibit 3 also suggests that the credit growth rate increased in 2016 and slightly decrease in later years (2017-2018). It means that the local economy is trying to control credit growth rationally and logically, however we need to analyze risk factors more carefully to reduce more market risk. Last but not least, different from stock investment industry, as it generates the result that the risk volatility or fluctuation level became higher in the post-low inflation period, the government and relevant bodies such as Ministry of Finance and State Bank of Vietnam, as well as board of these firms need to consider proper policies (including a combination of fiscal, monetary, exchange rate and price control policies) aiming to reduce/ control the risk better and hence, help the stock market as well as the whole economy become Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 35 References Atousa, G., & Shima, S., (2015), The Relationship Between Life Insurance Demand and Economic Growth in Iran, Iranian Journal of Risk and Insurance, 1(1), 111-131. Aykut, E., (2016), The Effect of Credit and Market Risk on Bank Performance: Evidence from Turkey, International Journal of Economics and Financial Issues, 6(2), 427-434. Chatterjea, Arkadev., Jerian, Joseph A., & Jarrow, Robert A., (2001), Market Manipulation and Corporate Finance: A new Perspectives, 1994 Annual Meeting Review, SouthWestern Finance Association, Texas, USA. Chizoba, P.E., Eze, O.R.,& Nwite, S.C., (2018), Effect of Inflation Rate on Insurance Penetration of Nigerian Insurance Industry, International Journal of Research of Finance and Economics, 170. DeGennaro, Ramon P., Kim, Sangphill., (2003), The CAPM and Beta in an Imperfect Market, SSRN Working paper series. Emilios, A., (2015), Bank Leverage Ratios and Financial Stability: A Micro- and Macroprudential Perspective, Working Paper No.849, Levy Economics Institute. Galagedera, D.U.A., (2007), An alternative perspective on the relationship between downside beta and CAPM beta, Emerging Markets Review. Gunarathna, V., (2016), How does Financial Leverage Affect Financial Risk? An Empirical Study in Sri Lanka, Amity Journal of Finance, 1(1), 57-66. Hami, M., (2017), The Effect of Inflation on Financial Development Indicators in Iran, Studies in Business and Economics, 12(2), 53-62. Martin, K., and Sweder, V.W., (2012), On Risk, leverage and banks: Do highly leveraged banks take on excessive risk?, Discussion Paper TI 12-022/2/DSF31, Tinbergen Institute. Miguel, A.T.Z., Francisco, V.M., & Victor, H.T.P., (2018), Effects of inflation on financial sector performance: New evidence from panel quantile regressions, Investigacion Economica, 1(303), 94-129. Najeb, M.H.M., (2013), The Impact of Stock Market Performance upon Economic Growth, International Journal of Economics and Financial Issues, 3(4), 788-798. Riet, A.V., (2017), The ECB’s Fight against Low Inflation: On the Effects of Ultra-Low Interest Rates, International Journal of Financial Studies, 5(12). Yener, A., Leonardo, G., & David, M.I., (2014), Does Monetary Policy Affect Bank Risk?, International Journal of Central Banking, 10(1), 95-135. Zhi, D., Guo, R.J., & Ravi, J., (2012), CAPM for estimating the cost of equity capital: Interpreting the empirical evidence, Journal of Financial Economics, 103, 204-220. Research Ang, A., Chen, J., (2007), CAPM Over the Long Run: 1926-2001, Journal of Empirical Finance ADB and Viet Nam Fact Sheet, 2010. Other web sources https://www.ceicdata.com/en/indicator/vietnam/real-gdp-growth Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 36 Exhibit Exhibit 1 – Inflation, CPI over past 10 years (2007-2017) in Vietnam Exhibit 2 – GDP growth rate past 10 years (2007-2018) in Vietnam Tạp chí Nghiên cứu Tài chính – Marketing số 56, 04/2020 37 Exhibit 3 – Loan/Credit growth rate in the past years (2012-2018) in Vietnam Exhibit 4 – Deposit and lending interest rates in the past 12 years (2005-2018) in Vietnam 8.2% 9% 10% 16% 10% 14% 14% 12% 8.50% 7.2% 7.7% 7.2% 6.90% 7.60% 10% 14% 20% 11% 20% 20% 11% 12% 10% 10.50% 10% 8.86% 8.90% 8.40% 6.60% 12.60% 22% 6.88% 11.75% 18% 6.81% 6.04% 4.09% 0.60% 4.74% 3.53% 3.54% 0% 5% 10% 15% 20% 25% 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 Basic rate Deposit rate Lending rate Inflation
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