scholarly journals Linear and Non-Linear Causality Tests of Stock Price and Real Exchange Rate Interactions in Turkey

2018 ◽  
Vol 2 (1) ◽  
pp. 55-555
Author(s):  
Zafer Adalı ◽  
Gözde Yıldırım
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Stock Price ◽  
Non Linear ◽  
Causality Tests

REAL EXCHANGE RATE RETURNS AND REAL STOCK PRICE RETURNS IN THE STOCK MARKET OF MALAYSIA

2016 ◽  
Vol 64 (05) ◽  
pp. 1319-1349
Author(s):  
HOCK TSEN WONG
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Real Exchange Rate ◽  
Granger Causality ◽  
Unit Root ◽  
Stock Price ◽  
Unit Root Test ◽  
The United States ◽  
Test Statistics ◽  
Time Invariant

This study examines the relationships between real exchange rate returns and real stock price returns in the stock market of Malaysia. The Kwiatkowski, Phillips, Schmidt and Shin (KPSS) and Dickey and Fuller (DF) unit root test statistics show that all the variables examined are found to be stationary in the first differences. The constant conditional correlation (CCC)-multivariate generalized autoregressive conditional heteroskedasticity (MGARCH) model shows that real exchange rate return of Malaysian ringgit against the United States dollar (RM/USD) and real stock price return of Kuala Lumpur Composite Index (KLCI) are found to be negative and significantly correlated. However, there is insignificant correlation between real exchange rate return of Malaysian ringgit against Japanese Yen (RM/¥) and real stock price return of KLCI. Moreover, the CCC-MGARCH models show that real exchange rate returns and real stock price returns of some stocks are found to be significantly correlated. The KPSS unit root test statistics show that the time invariant conditional variances of real exchange rate returns and real stock price returns are mostly found to be stationary in the levels. There is no evidence of Granger causality between the time invariant conditional variances of real exchange rate returns and real stock price return of KLCI but some evidence of Granger causality between the time invariant conditional variances of real exchange rate returns and real stock price returns. There is a link between the exchange rate market and the stock market in Malaysia but not every real stock price return is significantly linked with real exchange rate return.

The dynamic linkage between exchange rate, stock price and interest rate in India

2017 ◽  
Vol 34 (3) ◽  
pp. 383-406 ◽  
Author(s):  
Malepati Jayashankar ◽  
Badri Narayan Rath
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Price ◽  
Stock Return ◽  
Foreign Exchange Market ◽  
Empirical Relationship ◽  
Discrete Wavelet ◽  
Content Type ◽  
Causality Tests ◽  
The Relationship

Purpose The purpose of this study is to examine linkage between exchange rate, stock return and interest rate for India. Design/methodology/approach Using monthly data from January 2000 to December 2014, this study has scrutinized the linkage between exchange rate, stock return and interest rate using maximum overlap discrete wavelet transform (MODWT) which is very much appropriate when the variables are discrete in nature. Findings Our major findings indicate that the empirical relationship between these variables is not significant at lower scales. As we go on higher scales, there is a clear linkage between them, and three markets are associated with each other. Moreover, the direction and type of the relationship depends on the frequency bands, and finally with the help of Granger causality tests, we established a lead/lag relationship between stock price, exchange rate and interest rate. Research limitations/implications The linkage between stock market, foreign exchange market and money market in case of emerging countries like India is more relevant because negative or positive shocks affecting one market may be transmitted quickly to another through contagious effect. Originality/value Little attention has been given to examine the link between stock return, exchange rate and interest rate in India. This study adopts a more sophisticated MODWT approach for examining the cross-correlation and causality.

scholarly journals Asymmetric effect of exchange rate volatility on trade balance in Nigeria

2021 ◽  
Vol 3 (3) ◽  
pp. 342-359
Author(s):  
Nuraddeen Umar Sambo ◽  
◽  
Ibrahim Sambo Farouq ◽  
Mukhtar Tijjani Isma'il ◽  
◽  
...  
Keyword(s):  
International Trade ◽  
Exchange Rate ◽  
Real Exchange Rate ◽  
Financial Development ◽  
Trade Balance ◽  
Exchange Rate Volatility ◽  
The Real ◽  
Non Linear ◽  
The Relationship ◽  
Real Exchange Rate Volatility

<abstract> <p>The relationship between real exchange rate volatility and the trade balance has been a contentious issue since the fall of Bretton woods agreement of 1973, owing to the lack of unanimity on the effect. This article provides empirical evidence of the link between the real exchange rate volatility and the trade balance in the light of financial development, confirming the assertion that the effect is significantly dependent on the country's level of financial development. Due to Nigeria's relatively undeveloped financial system, its exchange rate dampens the country's exports. Rather than studying the relationship in isolation, we examine the moderating role of financial development on the link between export and the real exchange rate volatility in this paper. The empirical estimation is based on the Nigeria's data set spanning the years 1980–2019, and it employs threshold autoregressive non-linear co-integration and non-linear ARDL estimation techniques. According to the findings, financial development magnifies the beneficial benefits of the real exchange rate on Nigeria's foreign trade. It also states that the uncertainty in foreign capital flows has a negative impact on Nigeria's international trade. The findings have broad policy implications, implying that in order to diversify and improve the economy's future growth and associated international trade, Nigeria's policymakers should promote adequate financial sector development, as financial shocks are amplified by poorly implemented credit markets.</p> </abstract>

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