scholarly journals INTEREST RATE ADJUSTMENT AND STOCK MARKET – THE CASE STUDY OF CHINA

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.

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.


Economies ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 107
Author(s):  
Mirzosaid Sultonov

Russia’s international comportment and geostrategic moves, particularly the invasion of Ukraine and the annexation of Crimea in 2014, caused a substantial change in its international economic and political relations. In response to Russia’s invasion, the United States of America, the European Union, and their allies imposed a series of sanctions. In this study, by applying an exponential generalized autoregressive conditional heteroscedasticity model to daily logarithmic returns of the ruble exchange rate and the closing price index of the Russian Trading System, we analyze how the returns and volatility of the exchange rate and the stock price index responded to the sanctions and oil price changes. The estimation results show that the sanctions have a significant positive short-term impact on exchange rate returns. Economic sanctions have a significant negative long-term impact on the returns and variance of the exchange rate and a significant positive long-term impact on the returns of the stock price index. Financial sanctions have a positive/negative long-term impact on the returns of the exchange rate/stock price index and a positive long-term impact on the variance of the exchange rate and the stock price index. Corporate sanctions have a positive long-term impact on exchange rate returns.


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):  
Gusti Ayu Diah Akua Miyanti ◽  
Luh Putu Wiagustini

Rise and fall of the price of a stock is strongly influenced by the economic conditions of a country. Price has an important role in influencing consumer decisions in buying a product including stocks. The purpose of this study was to examine the effect of Fed interest rate, oil price and inflation on Indonesian Joint Stock Price Index from January 2012 to December 2016. This research is an associative research that aims to determine the influence or relationship between two variables or more. Data processed using computer software that is SPSS (Statistical Package for Social Science). The test result through Multiple Linear regression analysis shows that the Fed interest rate, oil price and inflation simultaneously have a significant effect on the Composite Stock Price Index. Partially, the interest rate of the Fed has a significant positive effect on the Composite Stock Price Index in BEI, while the price of oil has a significant negative effect and inflation has no effect on JCI period 2012 -2016.


2015 ◽  
Vol 6 (2) ◽  
pp. 330 ◽  
Author(s):  
Mulyono Mulyono

Stock market generally has the stock price index that measures the performance of stock trading, the Indonesia Stock Exchange has a stock price index that is widely known as Jakarta Composite Index (IHSG). During its development, the Indonesia Stock Exchange has many alternative indexes that measure the performance of stock trading. Research that is to be conducted on the correlation between return of the stock index listed in Indonesia Stock Exchange and return of Jakarta Composite Index. Return stock index listed on the Indonesia Stock Exchange, namely, LQ45 Index, Jakarta Islamic Index (JII), KOMPAS100 Index, BISNIS-27 Index, PEFINDO25 Index and SRI-KEHATI Index, has a close relationship with the return Jakarta Composite,Index which is a reflection of the movement of all existing stock in the market. Return of stocks index that have the highest coefficient correlation is KOMPAS100 In dex, which have return index coefficient correlation is 0.949, thus KOMPAS100 Index that consisting of 100 stocks, based on the results of the study can be used as an alternative investment to get a return that is at least equal or close to the yield given by Jakarta Composite Index(IHSG) that consists of 445 stocks


Author(s):  
Dahlia Br. Pinem

The economics of one country with other countries are interconnected because of the business relationship, especially since the developed countries greatly affect the economics of developing countries, so that the stock market in developed countries such as Dow Jones (DJIA) index, Footsie London Index (FTSE), Singapore Index (STI), Tokyo Nikkei Index (N225), Korea KOSPI Index (KS11), Hang Seng Hongkong Index (HSI) affect the Composite Stock Price Index (CSPI). The purpose of this study is to determine the influence of global stock indices on the Composite Stock Price Index (CSPI). In addition to the global macroeconomics index of Indonesia's Stock Index like the US Dollar against the rupiah, interest rates greatly affect the Composite Stock Price Index. The method of the sample research was conducted by judgment sampling. Hypothesis testing in this research is conducted by Multiple Regression. The results obtained simultaneously (F test) variables (FTSE, Dow Jones index, STI, KS 11, Hangseng, Nikkei 225, Dollar/USD exchange rate, interest rate, Inflation) have a significant effect on CSPI. Yet, only partially variable interest rate is not significant, while the other partially affects the CSPI.


2021 ◽  
Vol 9 (8) ◽  
pp. 75-86
Author(s):  
Sunita Dasman

The purpose of this study is to detect the existence of a bubble stock and analyze the impact of monetary policy, market sentiment and liquidity on the property stock index in the Indonesian capital market. The data used in this study is secondary data originating from various sources for the period 2016 – 2020 using multiple linear regressions. The bubble stock detection is done by using the ratio between the property stock price index and the consumer nutrient index. The results showed that there was an indication of a moderate bubble stock in the property stock index during the research period 2016 – 2020. The factors that impacted the property stock price index were interest rates, the rupiah exchange rate against the US dollar, market sentiment and market liquidity. The increase in interest rates, the rupiah exchange rate, and market sentiment and liquidity has an impact on the increase in the property stock price index on the Indonesian stock exchange for the 2016 – 2020 periods. Keywords: Bubble Stock, Exchange Rate, Interest Rate, Inflation, Market Sentiment, Market Liquidity


2020 ◽  
Vol 3 (3) ◽  
pp. 212
Author(s):  
Dwi Septiani

This study aims to determine how the influence of the inflation rate and the interest rate of Bank Indonesia Certificates (SBI) on the Composite Stock Price Index (IHSG) with the US dollar exchange rate as a moderating variable on the Indonesia Stock Exchange 2007-2016. The data of this research consists of inflation rate reports, Bank Indonesia Certificate interest rate reports, US dollar exchange rate reports and reports on the Composite Stock Price Index for 120 (one hundred and twenty) months, starting from 2007 to 2016. Methods The research used in this research is associative research with quantitative data analysis. Data calculation was performed by using multiple regression analysis of the relationship, t test, F test and the coefficient of determination R2. Meanwhile, to test the moderating variable using the interaction test. The inflation rate variable (X1) and the interest rate for Bank Indonesia Certificates (SBI) (X2) with the US dollar exchange rate (X3) as the moderating variable simultaneously have a positive and insignificant effect on the Composite Stock Price Index (IHSG) (Y) on the Stock Exchange. Indonesia 2007-2016. The coefficient of determination of 0.596065 means it is known that the influence of the inflation rate variable (X1) and the interest rate for Bank Indonesia Certificate (SBI) (X2) with the US dollar exchange rate (Z) as the moderating variable is 59.61% while the rest 40.39% is explained by other variables that are not explained and examined in this study. Keywords: Inflation Rate, Bank Indonesia Certificate Interest Rate, US Dollar Exchange Rate and Composite Stock Price Index


2020 ◽  
Vol 14 ◽  
pp. 339-353
Author(s):  
Elegi Zuhri ◽  
Suskim Riantani

This research essentially aims to examine the extent to which macroeconomic variables (including inflation, exchange rate, and interest rate) have a significant influence on stock price index and the level of significance for that influence. The researchers focused more on consumer goods industry companies that are listed on the Indonesian Stock Exchange (IDX) within 2015 until 2019, with consideration for the stock price of consumer goods companies listed on the Indonesia Stock Exchange (IDX) as claimed to be the most defensive stock. This study finds that inflation, exchange rate, and interest rate, as composite variables, have a significant influence on stock price index. A partial test revealed that inflation, and exchange rate have negative significant influence on stock price index, while interest rate is found to be nonsignificant.


2018 ◽  
Author(s):  
Afriyeni

This research is aimed to examine the influence of global and regional indexes for the stock price index in Indonesian Stock Exchange and to determine the influence of global market stock price indices simultaneously or partially represented by three global stock markets to index IDX. As for the third global stock market Hang Seng is representing Hongkong stock exchange, Nasdaq composite representing the United States Stock Market and the Exchange FTSE representing Malaysia. This research is a statistical study with data population composite stock price index (CSPI) each - one index per - end of month from September 2005 to August 2012. Simple sampling method used to collect data during the 84 months from September 2005 to August 2012. Processing of data obtained from the following regression equation: Y = - 1696.585-.207 IXIC - 0.058 + 4.689 HSI. From the regression model constant value of - 1,696.585 states if there is no movement of the three independent variables, then the index will be decreased by 1696.585%. IXIC regression coefficient of - 0.207 states that every 1% decrease IXIC index will result in an increase of 0.207% assuming constant HSI and FTSE. HSI regression coefficient of - 0.058 states that every 1% decrease in HSI index will result in an increase of 0.058% assuming HSI and FTSE konstan.Koefisien regression of 4.689 states that every 1% increase in FTSE index will result in an increase of 4.689% assuming IXIC and HSI constant. The results showed that the influence of these three global stock index jointly significant influence but individually only Hang Seng stock index and HSI are affecting the BEI index. Data processing results obtained R Square of 0.934, which means 93.4% movement in the Indonesia Stock Exchange Composite Index is affected by movements in global and regional indices.


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