scholarly journals Impacts of Monetary Policy and Information Shock on Stock Market: Case Study in Vietnam

2016 ◽  
Vol 8 (7) ◽  
pp. 132 ◽  
Author(s):  
Trung Thanh Nguyen ◽  
Thi Linh Do ◽  
Van Duy Nguyen

<p>Evaluation of the impact of monetary policy on Vietnam stock market plays an important role for economists as well as stock investors. Stock price index not only gets impacts from the macroeconomic factors such as oil price, gold prices…but also be very sensitive to the changes in monetary policy. For each different markets, stock index are also different from each other. Hence, this artical is conducted to evaluate the impacts of monetary policy on Vietnam Stock Index (VNIDEX) in the period of the time from 2006 to 2015. The author uses GJR - GARCH model and ARDL research with time-serie data by statistical methods and quantitative analysis to evaluate the above impact related to lag and shocks in the market. The result shows that the monetary policy including interests, exchange rate and required reserve ratio has a negative impact on stock price in long term. Besides, both bad or good market shock cause changes of stock price at stable level.</p>

2021 ◽  
Author(s):  
Ning Zeng ◽  
◽  
Xixi Li ◽  

This paper examines the impact of interest rate adjustment on the stock market in China. We collect the interest rate adjustment periods from April 21, 1991 to October 24, 2015 since the estab¬lishment of the stock market. Through an Error Correction model together with Granger causality, we investigate responses of the stock index to interest rate adjustment. Our findings suggest that there is existing a long-term reverse relationship between interest rate adjustment and stock index. The impact of interest rate adjustment on stock index returns could not be long-term disequilibria, which will be corrected in short-time. Also, the interest rate is the granger cause of the stock price index, while the stock price index is not the granger cause of interest rate.


2004 ◽  
Vol 43 (4II) ◽  
pp. 619-637 ◽  
Author(s):  
Muhammad Nishat ◽  
Rozina Shaheen

This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.


2013 ◽  
Vol 16 (3) ◽  
pp. 86-100
Author(s):  
Kieu Minh Nguyen ◽  
Diep Van Nguyen

The main target of this study is to measure the relationship of macroeconomic factors to the volatility of the stock market in Vietnam (through stock price VN-index). There are four factors including the consumer price index (measure of inflation), the exchange rate of USD/VND and money supply M2. Research shows that the stock price VN-Index has a positive relationship with the money supply M2 and the domestic gold price in long term. On the contrary, it has a negative relationship with the inflation while it does not have any connection to the exchange rate and stock price index. In short term, the current stock price index has proportional to the stock price index last month and inversely proportional to the exchange rate. The estimated speed of adjustment indicates that the Vietnam stock market converges to the equilibrium about 8 months (adjusted approximately 13.04% per month) to reach equilibrium in the long term.


Author(s):  
Do Huy Thuong ◽  
Tran Luu Ngoc ◽  
Nguyen Thi Phuong Hong

Considering the impact of the capital structure on the effectiveness of businesses is extremely important. Therefore, this study is conducted in order to find the influences of capital structure, firm size and revenue growth on the performance of the garment businesses listed on Vietnam stock market in the period of 2013-2018 with the representation of return on equity (ROE). The research with the use of panel data has shown that the ratio of short-term debt on total assets, the firm size and the revenue growth all have positive impacts on business performance. Meanwhile, the ratio of long-term debt on total assets has a negative impact on the performance of garment businesses at the statistically significant level of 5%.


Author(s):  
Ifuero Osad Osamwonyi ◽  
Godfrey Ayegbeni Audu

This study investigates the long term relationship between the behaviour of stock markets during the 2008 crisis and some selected international macroeconomic variables using information from January 2005 to December 2015. The procedures of the Autoregressive Distributed Lag modeling techniques (ARDL) are employed for the analysis. The bounds testing procedure in the ARDL framework is used to test for the existence of long term relationships between stock market behaviour and global economic factors (interest rate, exchange rate, index of industrial production and oil price) as well as the direction of effects, while estimated coefficients are used to test the pattern of long term relationships among the variables. The study revealed that a significant long term relationship exists between stock price movements and these global economic trends while the stock market crash significantly impacted the efficiency of the markets under review. Thus, it is recommended that market fundamentals should remain the capstone of stock market analysis, and policies should encourage the delinking of stock markets from the international commodity market factors.


2020 ◽  
Vol 23 (04) ◽  
pp. 2050033
Author(s):  
Gang Wang ◽  
Yucheng Jiang

This paper analyzes and compares the effects of the monetary policy on the stock price in China based on SVAR models with two different restriction schemes. As suggested by existing literature, there are four major monetary policy instruments used by the People’s Bank of China. They are the seven-day repo rate, the one-year benchmark lending rate, the M2, and the total loan. We run SVARs with the monetary policy instrument, the stock index, and the macroeconomic variables and show the impulse responses of the stock index to the monetary policy shocks. After comparing two restriction schemes, the short-run Cholesky restrictions and the short-run and long-run combined restrictions for identification, we conclude that the latter restriction method leads to better estimation than the former one. In general, a contractionary monetary policy shock lowers the stock price, appreciates the Chinese currency, reduces the output gap, injects deflation, and shrinks the commodity price gap. We find that the benchmark lending rate is more effective in regulating the Chinese stock market than the other monetary policy instruments. In addition, a combination of price-based and quantity-based monetary policy instruments is suggested for impacting the stock market and stabilizing the economy in China.


2014 ◽  
Vol 6 (8) ◽  
pp. 636-646 ◽  
Author(s):  
Flavien Fokou Noumbissie

Like in many other countries, the South African financial market facilitates the process of raising capital by channelling funds to more productive economic activity, thereby building the nation's economy while enhancing job opportunities and wealth creation. The aim of this paper is to assess the impact of monetary policy on financial market in South Africa. It is important to constantly look into this interaction since policy decisions have a direct influence on financial market. A negative response from the market side may jeopardise economic stability. The study uses the vector autoregressive (VAR) model to evaluate the impact of monetary policy on financial market in South Africa. The model consists of five policy instruments as variables; namely: money supply (M3), real exchange rate(ER), discount Rate (R), consumer price index (CPI), gross domestic product (GDP) and the two market related variables: Stock market turnover (S) and Bond market turnover (B). Data is obtained from SARB and OECD databases for a period of 53 quarters from 2000:Q1 to 2013:Q1. By the use of impulse response function (IRF), the study found that given current economic situation in South Africa, stock market turnover reacts positively to money supply; discount rate; real exchange and GDP shocks. On the other hand stock market turnover reacts negatively to CPI economic shocks. To correct CPI negative impact on markets, we suggest that the policymakers could envisage a contractionary monetary policy translated by a proportional cut in money supply through the sales of government securities.


Author(s):  
Jaroslav Bukovina

This paper studies perceptions of economic subjects and its impact on stock prices. Perceptions are represented by stock market indexes and Facebook activity. The contribution of this paper is twofold. In the first place, this paper analyzes the unique data of Facebook activity and proposes the methodology for employment of social networks as a proxy variable which represents the perceptions of information in society related to the specific company. The second contribution is the proposal of potential link between social network principles and theories of behavioral economics. Overall, the author finds the negative impact of Facebook activity on stock prices and the positive impact of stock market indices. The author points the implications of findings to protection of company reputation and to investment strategy based on the existence of undervalued stocks.


2019 ◽  
Vol 10 (2) ◽  
pp. 61
Author(s):  
Maoguo Wu ◽  
Daimin Lu

The “Belt and Road” Initiative has attracted worldwide attention since its initial stage. The initiative is to unite countries participating in the “Belt and Road” Initiative (B&R countries), to build a community with a shared future for mankind, and to achieve mutual benefit and win-win. Since the implementation of the initiative, China’s outward foreign direct investment (OFDI) has ushered in a new upsurge, and a large amount of money has been invested in B&R countries. However, China lacks experience in OFDI, as it has not been long since China engaged in OFDI. Besides, most of the B&R countries are developing countries with immature market. As the barometer of the macroeconomy, the stock market can reflect fluctuations of the real economy and forecast the development trend of the macroeconomy. To explore the opportunities and challenges brought by the “Belt and Road” Initiative to the stock market of B&R countries, this study selects 8 countries with the most active stock market among B&R countries, and analyzes the impact of the “Belt and Road” Initiative on the stock price index risk of the 8 countries. In this study, the data are divided into 2 groups, i.e., pre-initiative and post-initiative. The GARCH-VaR model is used to calculate the stock price index risk of each country. The empirical results show that the “Belt and Road” Initiative has different effects on the stock price index risk of the 8 countries. After the “Belt and Road” Initiative, the fluctuation of China Shanghai Shenzhen 300 Stock Index Futures is far lower than that before the implementation of the initiative, and the stock price index risk of some countries has also been reduced.


2021 ◽  
Vol 6 (4) ◽  
pp. 372-377
Author(s):  
Suadiq Mehammed Hailu ◽  
Gamze Vural

In this study, we investigate the stock markets’ reaction to the COVID-19 outbreak. For this purpose, we collected daily cumulative confirmed cases, cumulative deaths, and stock index price data from Australia, Germany, Japan, UK, USA, Brazil, China, Malaysia, South Africa, and Turkey over the period from March 11, 2020, to December 31, 2020, and examined using multiple and panel data regression. Findings reveal that the cumulative daily infection cases have a significant negative impact on the entire and first sub-period covering from March 11 to June 30, 2020. However, this negative impact of cumulative infection cases on the stock market was significant only among developed countries. In contrast, the cumulative death rate was not a fundamental factor that explains stock market price changes. The result also indicated that exchange rate has a significant negative impact on both developed and developing countries’ stock markets. The overall findings of the study indicated that COVID-19 outbreak has a negative significant impact on stock markets and this impact continue until the end of the 2020 second quarter and then the impact became insignificant. Besides, the impact of the COVID-19 pandemic was different in developed and developing countries and even different from country to country.


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