scholarly journals Stock market returns and exchange rate movements in a multiple currency economy: the case of Zimbabwe

2015 ◽  
Vol 8 (3) ◽  
Author(s):  
Mabutho Sibanda
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Foreign Currency ◽  
The United States ◽  
Stock Market Returns ◽  
Vector Autoregressive ◽  
United States Dollar ◽  
International Portfolio Diversification ◽  
Exchange Rate Movements ◽  
New Evidence

This study seeks to provide new evidence on the stock market and exchange rate relationship in Zimbabwe, a country that does not have its own sovereign currency. The bivariate vector autoregressive approach is used to establish the relationship between the stock market and exchange rates. The results show that no relationship exists between the stock market and the proxy exchange rate. The findings contradict the expectation that exchange rate movements would influence domestic stock market prices. This finding is especially interesting given the fact that Zimbabwe uses a basket of currencies for transacting purposes, albeit with the United States dollar as a major currency for reporting and stock market pricing purposes. The findings provide new evidence of a disconnect between the stock market and exchange rate movements. This has implications for international portfolio diversification and the use of foreign currency as an asset class in an economy using a multiple currency system.

scholarly journals Forecasting Malaysian Ringgit Using Exponential Smoothing Techniques

2021 ◽  
Vol 6 (2) ◽  
pp. 1-10
Author(s):  
Noreha Mohamed Yusof ◽  
Norani Amit ◽  
Nor Faradilah Mahad ◽  
Noorezatty Mohd Yusop
Keyword(s):  
Exchange Rate ◽  
Foreign Currency ◽  
The United States ◽  
Exponential Smoothing ◽  
Percentage Error ◽  
Smoothing Technique ◽  
Smoothing Techniques ◽  
United States Dollar ◽  
Double Exponential Smoothing ◽  
Exponential Smoothing Technique

Forecasting the foreign currency exchange is a challenging task since it is influenced by political, economic and psychological factors. This paper focuses on the forecasting Malaysian Ringgit (MYR) exchange rate against the United States Dollar (USD) using Exponential Smoothing Techniques which are Single Exponential Smoothing, Double Exponential Smoothing, and Holt’s method. The objectives of this paper are to identify the best Exponential Smoothing Technique that describes MYR for 5 years period and to forecast MYR 12 months ahead by using the best Exponential Smoothing Technique. The comparison between these techniques is also made and the best one will be selected to forecast the MYR exchange rate against USD. The result showed that Holt’s method has the smallest value of error measure which depending on the Mean Square Error (MSE) and Mean Absolute Percentage Error (MAPE) for the evaluation part. The MSE is 1.43915x10-14 and MAPE is 2.5413 x 10-6. Meanwhile, the forecast value of MYR in August 2019 is RM 4.30226.

scholarly journals Impacts of Macroeconomic Variables on the Stock Market Returns of South Asian Region

2020 ◽  
pp. 24-34 ◽  
Keyword(s):  
Growth Rate ◽  
Exchange Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Foreign Currency ◽  
Currency Reserve ◽  
Gdp Growth ◽  
Market Returns ◽  
Stock Market Returns ◽  
Gdp Growth Rate

This paper is intended to find out whether macroeconomic variables may impact on the stock market as well as whether such impact has any country specific pattern. The stock market return was taken as the dependent variable and real interest rate, inflation rate, GDP growth rate, foreign currency reserve growth rate, fiscal deficit, FDI to GDP ratio, exchange rate were taken as independent variables. Data-set was covered from 1993 to 2019 for five South Asian countries which were Bangladesh, India, Pakistan, Sri Lanka, and Nepal. The pattern of the stock market, as well as macro conditions of these countries, was observed and it was found that some relationships exist between the stock market returns and these chosen independent variables. Unit root test, Heteroscedasticty test, autocorrelation test, Hausman test is conducted to authenticate and clarified data to investigate relationship nature. Granger Casualty test indicated that there exist cause and effect relationship between GDP growth rate, exchange rate, and stock market returns. Finally, the regression test reveals that the inflation rate and foreign currency reserve growth rate have a significant impact on the stock market returns. It was expected to have the unique nature of different countries having versatile impact on dependent, so additionally fixed effects model and random effects model were run and it was found that the random effects model is statistically appropriate through conducting the Hausman test. The test reveals that GDP growth rate, foreign currency reserve growth rate, and fiscal deficit positively impact the stock market returns and these also support the literature review. Interest rates, inflation rate, FDI to GDP ratio, and exchange rate have negatively impacted the stock market return where only interest rate, inflation rate & exchange rate.

scholarly journals MENGKAJI PERUBAHAN NILAI TUKAR RUPIAH DAN PASAR SAHAM

2008 ◽  
Vol 10 (4) ◽  
Author(s):  
Untoro Untoro ◽  
Priyo R. Widodo
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Index ◽  
Stock Market Index ◽  
Vector Autoregressive ◽  
Market Index ◽  
Daily Data ◽  
Exchange Rate Movements ◽  
The Exchange Rate ◽  
The Relationship

This paper analyzes the relationship between the Exchange rate and the stock market in Jakarta, Singapore, Malaysia, Thailand, Philippine and Hongkong using a high frequency data. We applied the Vector Autoregressive method on the daily data covering 1 July 1997 to 30 June 2006.The analysis provides several results as follows: (i) the exchange rate movements is influenced by the regional and the Hongkong stock market index, except Thailand, (ii) Jakarta stock market index is influenced by the regional stock market except Thailand, (iii) the Rupiah rate influence the regional and Hongkong stock index, (iv) the Jakarta's stock market index is integrated to the regional stock market index. These results may be a usefull as an additional guidance to evaluate the Rupiah's exchange rate and the regional stock market movement in general.JEL Classification: C32, F31, G15                 Keywords: Stock, Vector Autoregressive, exchange rate.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

Interest Rate, Foreign Exchange Rate, and Stock Market Development in Nigeria

2018 ◽  
Vol 9 (3) ◽  
pp. 247-253 ◽  
Author(s):  
Edward Adedoyin Adebowale ◽  
Akindele Iyiola Akosile
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Foreign Exchange ◽  
The United States ◽  
Ordinary Least Squares ◽  
Foreign Exchange Rate ◽  
Market Development ◽  
National Bureau ◽  
Stock Market Development

This research investigated the effect of interest rate and foreign exchange rate on stock market development in Nigeria. This research was centered on two research problems. First, it was whether interest rate had a significant effect on stock market development in Nigeria. Second, it was whether foreign exchange rate had a significant impact on stock market development in Nigeria. The scope of the research covered the period from 1981 to 2017. Data for this period were chosen because it covered pre and post-liberalization periods of Nigerian financial system. This research made use of ex post facto research design. Secondary data were sourced from Nigerian Stock Exchange reports, Central Bank of Nigeria statistical bulletins, and National Bureau of Statistics publications. Data were collected on Stock Market Capitalization (SMC), Prime Lending Rate (PLR) and Real Exchange Rate (RER) (Nigerian Naira in relation to American Dollars of the United States). Data analysis was carried out with Ordinary Least Squares (OLS) and Cochrane-Orcutt Iterative techniques. The findings reveal that interest rate has a significant negative effect, and foreign exchange rate has a significant positive effect on Nigerian stock market development during the period covered. It is suggested that monetary authorities should strive to formulate policies that will make interest and foreign exchange rates stable, competitive, and at a level that will stimulate the investment of funds in the stock market.

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