scholarly journals Relationship between Foreign Exchange Rate and Stock Price of Commercial Joint Stock Banks: Evidence from Vietnam

2016 ◽  
Vol 8 (7) ◽  
pp. 193 ◽  
Author(s):  
Tran Mong Uyen Ngan
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Foreign Exchange Rate ◽  
Series Data ◽  
Causality Test ◽  
Using Data ◽  
The Relationship

The relationship between foreign exchange rate and stock price is one popular topic that is interested by not only board managers of banks but also stock investors. By using data about foreign exchange rate between Vietnam Dong (VND) and United State Dollar (USD), stock prices data of nine commercial joint stock banks in Vietnam from the first day of 2013 to the last day of 2015, this paper try to answer the question “Does foreign exchange rate impact on stock price and vice verse?”. Applying Dickey Fuller test and Var Granger Causality test for the time series data, the results show that there is an impact of foreign exchange rate on stock price. Although the fluctuation in foreign exchange rate VND/USD causes the change in stock prices of commercial joint stock banks in Vietnam, however, the vector of this impact is not clearly. On the opposite way, the change in stock price does not cause the change in foreign exchange rate, this relation is one-way relation.

scholarly journals COINTEGRATING RELATION BETWEEN EXCHANGE RATE AND GOLD PRICE

2017 ◽  
Vol 5 (10) ◽  
pp. 263-269
Author(s):  
Ranjusha ◽  
Devasia ◽  
Nandakumar
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Unit Root Test ◽  
Gold Price ◽  
Series Data ◽  
Annual Data ◽  
Causality Test ◽  
Long Run ◽  
Integration Test ◽  
The Relationship

The very purpose of this paper is to analyse the relationship between gold price and Rupee – Dollar exchange rate in India. The study utilises the annual data of exchange Rate (ER) and Gold Price (GP) from 1970 to 2015 to determine the relationship. Different econometric tools like Unit root test, Johansen co integration test, Vector error correction model, Granger causality test are used for detecting the long run relation, if any between the mentioned variables. The result shows that there exists a long run cointegrating relation between the variables. That is we can stabilise the Gold Price movement by controlling the exchange rate fluctuations. Likewise it also shows that Exchange rate doesn’t Granger cause to Gold price and vice versa. It means that the time series data of one vasriable cannot be used to predict another.

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

scholarly journals Are stock market and exchange rate affected by oil price in Kazakhstan?

2019 ◽  
Vol 11 ◽  
pp. 184797901985192 ◽  
Author(s):  
Mira Nurmakhanova ◽  
Maya Katenova
Keyword(s):  
Exchange Rate ◽  
Stock Prices ◽  
Time Series Data ◽  
Exchange Rate Policy ◽  
Oil Price ◽  
Series Data ◽  
Energy Information Administration ◽  
Causality Test ◽  
Bivariate Model ◽  
Policy Objective

This study explores the connection between oil price, stock prices, and exchange rate in Kazakhstan employing a monthly data from October 2007 to December 2017. Time series data were collected from National Bank of Kazakhstan, Kazakhstan Stock Exchange, and Energy Information Administration. Both bivariate and multivariate cases were employed. At the same time, the Johansen and Juselius cointegration procedures were employed in the study. The analysis was conducted for bivariate as well as multivariate cases. Empirical tests demonstrate that all the series are nonstationary in levels but stationary in differences. Results of this analysis do not find long-run correlation between the variables in a bivariate model, however, detect one in a multivariable model. Results demonstrate that stock prices and exchange rate are affected by oil price in Kazakhstan based on Granger causality test. Our findings imply that policy wise, monetary authorities in Kazakhstan in attaining their exchange rate policy objective should be considering the implications for financial market. These results are important to regulatory exchange authorities when deciding on policy to improve the market conditions.

scholarly journals Causal Correlation between Exchange Rate and Stock Index: Evidence from VN-Index

2016 ◽  
Vol 12 (8) ◽  
pp. 43
Author(s):  
Tri Dinh Nguyen ◽  
Quang Hung Bui ◽  
Tan Thanh Nguyen
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Stock Index ◽  
Series Data ◽  
Sample Period ◽  
Integration Test ◽  
Adf Test

This paper will examine the causal correlation of exchange rates and stock prices in Vietnam. The data is collected daily from March 1<sup>st </sup>2007 to March 1<sup>st</sup> 2014. The whole sample period is divided into two sub-groups as before the stock market bottom, after stock market bottom and full sample period. Unit root tests are employed for checking the stationary of time series data such as ADF test, PP test and KPSS test. This paper employs the co-integration test and Granger causality test to identify the causal correlation between two variables. The results of paper prove that there is no causal correlation between exchange rate and stock price. It means that the stock price has no effect on exchange rate and vice versa. However, after stock market bottom from February 25<sup>th </sup>2009 to March 1<sup>st </sup>2014, this research finds that it has a long-run co-movement between these variables by applying the Johansen test.

scholarly journals Exchange Rate, Exchange Rate Volatility and Stock Prices: An Analysis of the Symmetric and Asymmetric Effect Using ARDL and NARDL Models

2021 ◽  
Vol 15 (4) ◽  
pp. 179-190
Author(s):  
La Ode Saidi ◽  
Abd Azis Muthalib ◽  
Pasrun Adam ◽  
Wali Aya Rumbia ◽  
La Ode Arsad Sani
Keyword(s):  
Exchange Rate ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Exchange Rate Volatility ◽  
Series Data ◽  
Asymmetric Effect ◽  
Short Term ◽  
Symmetry Effect

This article examined the symmetric and asymmetric effects of the IDR/USD exchange rate and its volatility on stock prices using the monthly time series data of the IDR/USD exchange rate and the Indonesian composite stock price index from January 2006 to July 2019. The data were analyzed using ARDL and NARDL models. The results showed that in the short term, the IDR/USD exchange rate has a symmetry effect on stock prices, while volatility lacks such a symmetric influence. However, these two variables asymmetrically affect stock prices, Furthermore, in the long term both the exchange rate and the volatility lack symmetric and asymmetric influence on stock prices.

scholarly journals Analisis Faktor-faktor Yang Mempengaruhui Cadangan Devisa Indonesia Bukti (Kointegrasi dan Kausalitas)

2020 ◽  
Vol 3 (2) ◽  
pp. 32
Author(s):  
Hijri Juliansyah ◽  
Putri Moulida ◽  
Apridar Apridar
Keyword(s):  
Exchange Rate ◽  
Foreign Exchange ◽  
Time Series Data ◽  
Cointegration Test ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Causality Test ◽  
Long Run ◽  
The Exchange Rate ◽  
Bound Test

This study aims to analyze the factors that influence Indonesia's foreign exchange reserves by proving cointegration (long-run relationships) and causality (reciprocal relationships). The data used is time series data during the period January 2014-December 2018. The analytical method used in this study is cointegration test and granger causality with the approach of auto regressive lag (ARDL). The cointegration test results using the Bound test test indicated that between the variables of foreign exchange reserves, exports, the exchange rate, the BI Rate and inflation had a stability relationship of movements in the long run. While the results of the causality test showed that there is a one-way relationship between foreign exchange reserves and exports, and so there was a unidirectional relationship between foreign exchange reserves and the exchange rate and the same relationship between the BI Rate and foreign exchange reserves. Keywords: foreign exchange reserves, exports, exchange rates, BI Rate, inflation.

scholarly journals Stock price forecast of macro-economic factor using recurrent neural network

2021 ◽  
Vol 10 (1) ◽  
pp. 74
Author(s):  
M. Reza Pahlawan ◽  
Edwin Riksakomara ◽  
Raras Tyasnurita ◽  
Ahmad Muklason ◽  
Faizal Mahananto ◽  
...  
Keyword(s):  
Neural Network ◽  
Exchange Rate ◽  
Stock Market ◽  
Foreign Exchange ◽  
Recurrent Neural Network ◽  
Stock Prices ◽  
Stock Price ◽  
Foreign Exchange Rate ◽  
Economic Sectors ◽  
Corporate Funding

<span id="docs-internal-guid-a29e641b-7fff-1dc7-f2b4-6f5488c7c0a5"><span>The stock market is one of the investment choices that always have traction from time to time. Aside from being a means of corporate funding, investing in the stock market can benefit investors. Investing also has a higher risk because the pattern of stock prices is volatile, which is caused by internal and external factors. One external factor that affects stock prices is the macro-economic, where these factors are events that occur in a country where one of the economic sectors affected is stock prices. Investors often feel confused about the right time in decisions making related to buying or selling stock. One way to look at how the prospect of stock prices is a stock price forecasting activity. For this study, we will be making use of the recurrent neural network (RNN) to forecast stock prices for the next periods. This research involves two variables: the closing stock price and the rupiah exchange rate against the dollar for the daily period. We achieve a MAPE value of 1.546% for RNN model without the variable foreign exchange rate and 1.558% for the RNN model that uses the foreign exchange rate against the dollar.</span></span>

Testing Structural Break in the Relationship Between Exchange Rate and Macroeconomic Variables

2019 ◽  
Vol 23 (4) ◽  
pp. 442-453 ◽  
Author(s):  
Saidia Jeelani ◽  
Joity Tomar ◽  
Tapas Das ◽  
Seshanwita Das
Keyword(s):  
Exchange Rate ◽  
Structural Breaks ◽  
Time Series Data ◽  
Structural Break ◽  
Series Data ◽  
Ripple Effect ◽  
Macroeconomic Factors ◽  
Parameter Instability ◽  
Macroeconomic Variables ◽  
The Relationship

The article aims to study the relationship between those macroeconomic factors that the affect (INR/USD) exchange rate (ER). Time series data of 40 years on ER, GDP, inflation, interest rate (IR), FDI, money supply, trade balance (TB) and terms of trade (ToT) have been collected from the RBI website. The considered model has suggested that only inflation, TB and ToT have influenced the ER significantly during the study period. Other macroeconomic variables such as GDP, FDI and IR have not significantly influenced the ER during the study period. The model is robust and does not suffer from residual heteroscedasticity, autocorrelation and non-normality. Sometimes the relationship between ER and macroeconomic variables gets affected by major economic events. For example, the Southeast Asian crisis caused by currency depreciation in 1997 and sub-prime loan crisis of 2008 severely strained the national economies. Any global economic turmoil will affect different economic variables through ripple effect and this, in turn, will affect the ER of different economies differently. The article has also diagnosed whether there is any structural break or not in the model by applying Chow’s Breakpoint Test and have obtained multiple breaks between 2003 and 2009. The existence of structural breaks during 2003–2009 is explained by the fact that volume of crude oil imported by India is high and oil price rise led to a deficit in the TB alarmingly, which caused a structural break or parameter instability.

scholarly journals ANALISIS FAKTOR PENENTU INDEKS HARGA SAHAM GABUNGAN DI INDONESIA

2019 ◽  
Vol 1 (4) ◽  
pp. 37
Author(s):  
Yulizar Fikri ◽  
Ali Anis
Keyword(s):  
Economic Growth ◽  
Foreign Exchange ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Stock Price Index

This study aims to determine the analysis of the determinants of the composite stock price index in Indonesia. The independent variables in this study are inflation as X1, foreign exchange reserves as X2, exchange rates as X3, and economic growth as X4, and the dependent variable of the composite stock price index as Y. The data used are secondary data in the formof time series data from 2010Q1 until 2019Q2, with data collection techniques, namely documentation from Bank Indonesia publications, the Central Statistics Agency, investing. comsite and library research. The research methods used are: (1) Multiple Linear Regression, (2) Classical Assumption Test (3) coefficient of determination. The results of this study indicate that:(1) inflation does not significantly influence the composite stock price index. (2) foreign exchange reserves have a significant positive effect on the composite stock price index. (3) the rupiah exchange rate has an influence on the composite stock price index and (4) economic growth hasno significant effect on the composite stock price index.

scholarly journals INDIKATOR MAKROEKONOMI DAN RETURN SAHAM SYARIAH DI INDONESIA

2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Utami Baroroh
Keyword(s):  
Exchange Rate ◽  
Discount Rate ◽  
Stock Return ◽  
Time Series Data ◽  
Empirical Test ◽  
Cointegration Test ◽  
Series Data ◽  
Causality Test ◽  
Us Dollar

The objectives of this study are to examine empirical test the long term equilibrium and simulteneous relationship between macroeconomics variables to stock return in Indonesia and to observe stock return response because shock/innovation of inflation, SBI discount rate and exchange rate Rupiah to US dollar. The data sample used in this study are monthly time series data from 2003.1 – 2010.6. Those data are SBI discount rate, inflation (CPI), exchange rate Rupiah to US dollar, money supply and stock return (IHSG). A method of analysis in this study are Granger Causality Test and Cointegration test. The empirical results shows that SBI discount rate, inflation (CPI), and exchange rate Rupiah to US dollar have causality relationship to stock return.. The cointegration test indicates that among research variables there is long term equilibrium and simultaneous relationshipDOI: 10.15408/sjie.v2i2.2421

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