The relationship between stock price index and exchange rate in Asian markets: A quantile regression approach

Author(s):  
I-Chun Tsai
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.


2017 ◽  
Vol 8 (1) ◽  
pp. 9-21
Author(s):  
Tienwei Lou ◽  
Wuchang Luo

The daily data of the stock price index and the foreign exchange rate in G7 were utilized for the period between January 4, 1999 and June 30 2015. From the empirical study of Granger causality test in quantiles, there are three main findings. Firstly, there is no long-run significant relationship between the stock price index and exchange rate in G7. Secondly, different types of short-run relationships exist between the two variables among G7 countries. In Canada, Italy, and U.S.A., the relationship is bidirectional, and the asymmetric effect is at different quantiles. In France and Japan, the relationship is unidirectional, from the stock price index to the exchange rate, and the relationship is at different quantiles for the two countries. In Germany and U.K., the relationship is unidirectional in the opposite direction and is also at different quantiles. Lastly, it shows that international trading effects at different quantiles exist in Canada (at high quantile), Italy (at median quantile), and U.K. (at low quantile). On the other hand, portfolio balance effects at different quantiles exist in Germany (at low and median quantiles) and U.S.A. (at high quantile). The study shows neither effect in France and Japan. The empirical findings in this paper have important implications for academicians, international institutional investors, and policy-makers on the G7 markets.


2019 ◽  
Vol 16 (3) ◽  
pp. 251-259 ◽  
Author(s):  
Sugeng Hadi Utomo ◽  
Dwi Wulandari ◽  
Bagus Shandy Narmaditya ◽  
Puji Handayati ◽  
Suryati Ishak

This paper provides the relationship between macroeconomic variables, including exchange rate, BI rate and inflation, and stocks performance, particulary bluechip stocks listed in LQ45 index in Indonesia Stock Exchange. The study particularly gives insights on bluechip stocks listed in LQ45 stock price index in Indonesia Stock Exchange between 2015 and 2017. The data were obtained from various sources during the period, including the Indonesia Stock Exchange (IDX), the Central Bank of Indonesia (BI), and the Ministry of Trade. This study followed a Vector Error Correction Model (VECM) attempting to estimate the relationship between variables both in the short term and in the long term. The findings of the study showed that in the long run, exchange rate, BI rate and inflation have a negative impact on stock market performance, particularly on LQ45 index in Indonesia Stock Exchange. It implies that an increase in macroeconomic variables results in the decline of stock market performance. Meanwhile, in the short run, two variables, namely the exchange rate and inflation, positively affect stock market performance in Indonesia. On the contrary, the relationship between BI rate and stock market performance showed a negative correlation. These findings have significant implication for the understanding of how macroeconomic variables affect the stock market performance, particularly LQ45 price index in Indonesia Stock Exchange.


Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia


2009 ◽  
Vol 54 (04) ◽  
pp. 605-619 ◽  
Author(s):  
MOHD TAHIR ISMAIL ◽  
ZAIDI BIN ISA

After the East Asian crisis in 1997, the issue of whether stock prices and exchange rates are related or not have received much attention. This is due to realization that during the crisis the countries affected saw turmoil in both their currencies and stock markets. This paper studies the non-linear interactions between stock price and exchange rate in Malaysia using a two regimes multivariate Markov switching vector autoregression (MS-VAR) model with regime shifts in both the mean and the variance. In the study, the Kuala Lumpur Composite Index (KLCI) and the exchange rates of Malaysia ringgit against four other countries namely the Singapore dollar, the Japanese yen, the British pound sterling and the Australian dollar between 1990 and 2005 are used. The empirical results show that all the series are not cointegrated but the MS-VAR model with two regimes manage to detect common regime shifts behavior in all the series. The estimated MS-VAR model reveals that as the stock price index falls the exchange rates depreciate and when the stock price index gains the exchange rates appreciate. In addition, the MS-VAR model fitted the data better than the linear vector autoregressive model (VAR).


KINDAI ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 542-562
Author(s):  
Delila Putri Syarina

Abstract: This study aims to study both partially and simultaneously, large, Analysis, Analysis, Value, Exchange, Inflation, and the Dow Jones Index Against the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (BEI) and the dominant dominant variable on the Price Index Joint Stock (CSPI)).The method used in this study is a quantitative method and with a population of 10 (ten) years, samples were taken with census sampling techniques of 10 (ten) years per year-end period, research instruments using classical data assumptions - data used using regression linear multiple.The results of this study indicate that (1) Rupiah Exchange Rates, Inflation and the Dow Jones Index influence simultaneously on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (2) the Dow Jones Index is partially related to the Composite Stock Price Index (CSPI) in The Indonesian Stock Exchange, while the Rupiah Exchange Rate and Inflation are not partially on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange (3) The dominant dominant variable on the Composite Stock Price Index (CSPI) on the Indonesia Stock Exchange is the Dow Jones Index..Keywords  : Rupiah Exchange Rate, Inflation, Dow Jones Index and Composite Stock Price Index (CSPI)   Abstrak: Penelitian ini bertujuan untuk mengetahui baik secara parsial dan simultan seberapa besar Analisis Pengaruh Nilai Tukar Rupiah, Inflasi Dan Indeks Dow Jones Terhadap Indeks Harga Saham Gabungan (IHSG) Di Bursa Efek Indonesia (BEI) serta variabel yang berpengaruh dominan terhadap Indeks Harga Saham Gabungan (IHSG). Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dan dengan populasi sebanyak 10 (sepuluh) tahun, diambil sampel dengan teknik sampling sensus sebanyak 10 (sepuluh) tahun per periode akhir tahun, instrument penelitian uji asumsi klasik data – data diuji dengan menggunakan regresi linear berganda. Hasil penelitian ini menunjukkan bahwa (1) Nilai Tukar Rupiah, Inflasi dan Indeks Dow Jones berpengaruh secara simultan terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (2) Indeks Dow Jones berpengaruh secara parsial terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia, sedangkan Nilai Tukar Rupiah dan Inflasi tidak berpengaruh secara parsial terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (3) Variabel yang berpengaruh dominan terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia adalah Indeks Dow Jones. . Kata kunci :     Nilai Tukar Rupiah, Inflasi, Indeks Dow Jones dan Indeks Harga Saham Gabungan (IHSG).


2021 ◽  
Vol 1 (2) ◽  
pp. 332-348
Author(s):  
Hani Nurrahmawati ◽  
Hasbi Assidiki Mauluddi ◽  
Endang Hatma Juniwati

The title of this research is Analysis Influence of Macroeconomic to Net Asset Value of Islamic Mutual Fund Equity period 2015-2019. The purpose of this study is to determine the effect of partially and simultaneously variables of BI Rate, Inflation, Composite Stock Price Index and Exchange Rate on Net Asset Value of Sharia Mutual Funds in Indonesia in the period January 2015 - December 2019. The dependent variable is Net Asset Value of Sharia Mutual Funds, while the independent variables are BI Rate, Inflation, Composite Stock Price Index and Exchange Rate.Types of data used in this study are secondary data sourced from OJK, IHSG-IDX and BI published between 2015-2019. All of the data will be processed panel data which is a combination of time series data and cross section data. The results of this research showed that in the partial just variables of the BI Rate, Inflation, Composite Stock Price Index and Exchange Rate influenced to Net Assets Value of Islamic Mutual Funds in Indonesia, and simultaneous from variables of the BI Rate, Inflation, Composite Stock Price Index and Exchange Rate influenced to Net Assets Value of Islamic Mutual Funds in Indonesia and the value of Adjusted R-square coefficient of determination is 0.311175 means in togetherness variables of the BI Rate, Inflation, Composite Stock Price Index and Exchange Rate have a contribution influenced NAV of Islamic Mutual Funds in the amount of 31%, while the rest is 69% influenced by other variables that are not included into this research.


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