The Determinants of Gold Price in Malaysia

2021 ◽  
Vol 4 (2) ◽  
pp. g18-25
Author(s):  
Kah Hui Ting
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Consumer Price Index ◽  
Multiple Linear Regression Model ◽  
Gold Price ◽  
Causality Test ◽  
Market Return ◽  
Stock Market Return ◽  
Lm Test

The purpose of this paper is to look into the linkage between inflation rate, exchange rate, stock market return with price of gold. The sample collected for this empirical study covered 30 years of data from 1991 to 2020. The secondary data was collected annually and total 30 observations are taken for each variable. Multiple Linear Regression model is developed to find out the linkage between variables chosen with gold prices. The independent variables included Inflation rate (Consumer Price Index), exchange rate (Malaysia to USD), stock market return (FTSE Bursa Malaysia Kuala Lumpur Composite Index) and dependent variable is Price of Gold. Besides that, several tests are used including Unit Root Test (Augmented Dickey-Fuller Test), Jarque-Bera Normality Test, Breusch-Godfrey Serial Correlation LM Test, Heteroscedasticity-White Test, Ramsey Regression Equation Specification Error (RESET) Test and Granger Causality Test. The time series analysis used as the methodology by using Eview 11 to proceed all the test. The result showed that inflation rate and exchange rate have strong positive link to gold price while stock market return does not have significant relationship with gold price. In summary, this research can provide reference for other investors.

scholarly journals Macroeconomic Variables and Stock Market Returns in Sri Lanka

2017 ◽  
Vol 9 (2) ◽  
pp. 206
Author(s):  
Saseela Balagobei
Keyword(s):  
Exchange Rate ◽  
Sri Lanka ◽  
Stock Market ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Market Returns ◽  
Stock Market Returns ◽  
Macroeconomic Variables ◽  
Market Return ◽  
Stock Market Return

The stock market is one of the most energetic sectors that play an important role in contributing to the wealth of the economy. It plays a crucial role in the economic growth and development of an economy which would benefit industries, trade and commerce as a whole. The aim of this study is to investigate the impact of macroeconomic variables on stock market returns in Sri Lanka. Dependent variable of this study is stock market return measured by All Share Price Index (ASPI) and All Share Total Return Index (ASTRI) and independent variables are macroeconomic variables, such as Interest Rate (IR), Inflation Rate (INF), Exchange Rate (ER), Factory Industry Production Index (FIPI) and money supply (MS).  The study targets all the companies listed and active in Colombo Stock Exchange (CSE) from 2006 to 2015. For analysis, secondary data was collected from annual reports of Central bank of Sri Lanka, Colombo Stock Exchange, Securities and Exchange Commission and Department of Census and Statistics. The results of the study reveal that the stock market returns is influenced by macroeconomic variables except money supply in Sri Lanka. Interest rate and factory industry production have negative influence on stock market return in Colombo Stock exchange while inflation rate and exchange rate have positive influence on stock market return. The findings of the study may be useful to public and economy especially stock market investors to focus the macroeconomic variables for making their effective decisions in order to enhance their stock market returns.

The Effect of Macroeconomic Conditions on the Performance of Vietnamese Stock Market

2021 ◽  
Vol 8 (12) ◽  
pp. 73-82
Author(s):  
Hien-Ly Pham ◽  
Ching-Chung Lin ◽  
Shih-Ju Chan
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Global Supply Chain ◽  
Gold Price ◽  
Monthly Data ◽  
Macroeconomic Conditions ◽  
The Impact

Vietnam plays an important role in the global supply chain. As one of important emerging markets, many studies have focused on Vietnam-related issues. Vietnam established two stock markets in 2000s. The market performance becomes one of interesting issues to explore. This study is to investigate the impact of macroeconomic variables, including inflation rate, exchange rate, interest rate, imports, exports, and gold price, on Ho Chi Minh stock market. The study period is from July 2000 to October 2014. Using the monthly data collected from Vietnam General Statistic Office, IMF International Financial Statistics, and Ho Chi Minh stock exchange, the empirical findings of our regression model show that there exists a positive relationship for imports and gold price, while the relationships for exchange rate and interest rate are negative. No significant relationship has been found for the variables of inflation rate and exports.

Analysis of Factors that Affect the Movement of Gold’s Price as Investment Alternatives in Indonesia

2015 ◽  
Vol 21 (4) ◽  
pp. 878-881
Author(s):  
Yuli Eni ◽  
Rudy Aryanto
Keyword(s):  
Exchange Rate ◽  
Inflation Rate ◽  
Multiple Linear Regression Model ◽  
Secondary Data ◽  
Return Rate ◽  
Gold Price ◽  
Garch Models ◽  
Short Term ◽  
Price Forecast

This study examined the dominant factors that affecting the price of gold. The factors examined are London Gold price returns, the return rate of USD—INR, JCI return, inflation rate, and the return of the EURO—USD currency, which individually or simultaneously can affect the price of gold. The purpose of this study was to investigate how influence the factors that are considered to affect the fluctuation of gold prices and gold prices predicted for the next period which can be used by investors to seek alternative investment to be made. The results will provide information to investors about gold price forecast both long-term and short-term. This study uses secondary data taken from several websites. Further data have been obtained, processed using the method of Multiple Linear Regression Model and the ECM with GARCH models, using e-views 8 and SPSS 22. As for the results obtained from the processing of the data is simultaneously the influence of variable returns no London Gold price, return rate USD—CAD, JCI return, inflation rate, and the return of the EURO currency—USD, with the return of gold in Indonesia. Individually, the variable returns the London Gold price and exchange rate USD—CAD who have an influence on the return of gold prices in Indonesia.

scholarly journals Factors Affecting Kuala Lumpur Composite Index (KLCI) Stock Market Return in Malaysia

2016 ◽  
Vol 12 (1) ◽  
pp. 122 ◽  
Author(s):  
Uma Murthy ◽  
Paul Anthony ◽  
Rubana Vighnesvaran
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Money Supply ◽  
Composite Index ◽  
Oil Price ◽  
Series Data ◽  
Kuala Lumpur ◽  
Market Return ◽  
Stock Market Return

This paper studies the relationship between Kuala Lumpur Composite Index Stock Market Return with four macroeconomic determinants, namely interest rate, exchange rate, money supply and oil price from January 1997 to December 2015 on a monthly basis with a total of 228 observations. However, most of the studies are carried out in developed countries and large economic nations instead of in emerging markets such as Malaysia. Thus, this study aims to extend the existing studies to include the impact of several macroeconomics determinants namely interest rate, exchange rate, money supply and oil price on KLCI stock market return. This paper employed Multiple Linear Regression to examine the statistical relationship and to test the hypotheses. The data was analyzed using Statistical Package for Social Science, SPSS. For diagnostic checking, there is existence of autocorrelation problem which is typically found in time-series data.  Results indicated that there is negative relationship between exchange rate and stock market return and positive relationship between money supply and stock market return. Interest rate and oil price are found to have insignificant relationship with stock market return.

scholarly journals Impact of Macroeconomic Variables on Stock Return Volatility: Evidence from Sub-Sahara Africa

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Peter Ifeanyichukwu Ali ◽  
Samuel M. Nzotta ◽  
A. B. C. Akujuobi ◽  
Chilaka E. Nwaimo
Keyword(s):  
South Africa ◽  
Stock Market ◽  
Stock Markets ◽  
Inflation Rate ◽  
Return Volatility ◽  
Macroeconomic Variables ◽  
Market Return ◽  
Stock Market Return ◽  
Macroeconomic Indicators ◽  
The Impact

The main purpose of this paper was to investigate the impact of macroeconomic variables on stock market return volatility in Sub-Sahara markets. The study concentrated on three stock markets including Ghana, Nigeria and South Africa using GARCH-X (1,1) model on monthly data from January 2000 to December 2017. Preliminary analyses from descriptive statistics show that show mean monthly returns are positive for all the stock markets. Skewness coefficients show that the stock returns and interest rates distribution of all Sub-Sahara Africa stock markets are negatively skewed but inflation rate is positively skewed for Nigeria and South Africa, and flat for Ghana. Excess kurtoses are positive for all the stock markets and macroeconomic indicators, and Jarque-Bera statistics indicate the stock markets’ series and macroeconomic indicators are not normally distributed. The Unit roots tests results indicate that all the stock markets and macroeconomic indicators are first difference stationary. The results of the GARCH-X (1,1) model show that macroeconomic variables do not significantly impact stock market returns volatility in Nigeria, Ghana and South Africa at the 5% significance Level. We therefore recommend that stock market regulators, market participants and investors should concentrate more efforts on other macroeconomic variables aside interest rate and inflation rate, in estimating stock market return volatility in Sub-Sahara Africa.

scholarly journals A note on the relationship between COVID-19 and stock market return: evidence from South Asia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md Arafat Rahman ◽  
Md Mohsan Khudri ◽  
Muhammad Kamran ◽  
Pakeezah Butt
Keyword(s):  
Stock Market ◽  
South Asian ◽  
Stock Markets ◽  
Asian Countries ◽  
Causality Test ◽  
Stock Market Returns ◽  
Content Type ◽  
Market Return ◽  
Stock Market Return ◽  
The Impact

Purpose The transformation of coronavirus disease (COVID-19) from a regional health crisis in a Chinese city to a global pandemic has caused severe damage not only to the natural and economic lives of human beings but also to the financial markets. The rapidly pervading and daunting consequences of COVID-19 spread have plummeted the stock markets to their lowest levels in many decades especially in South Asia. This concern motivates us to investigate the stock markets’ response to the COVID-19 pandemic in four South Asian countries: Bangladesh, India, Pakistan and Sri Lanka. This study aims to investigate the causal impact of the number of confirmed COVID-19 cases on stock market returns using panel data of the countries stated above. Design/methodology/approach This study collects and analyzes the daily data on COVID-19 spread and stock market return over the period May 28, 2020 to October 01, 2020. Using Dumitrescu and Hurlin panel Granger non-causality test, the empirical results demonstrate that the COVID-19 spread measured through its daily confirmed cases in a country significantly induces stock market return. This paper cross-validates the results using the pairwise Granger causality test. Findings The empirical results suggest unidirectional causality from COVID-19 to stock market returns, indicating that the spread of COVID-19 has a dominant short-term influence on the stock movements. To the best of the knowledge, this study provides the first empirical insights into the impact of COVID-19 on the stock markets of selected South Asian countries taking the cross-sectional dependence into account. The results are also in line with the findings of other existing literature on COVID-19. Moreover, the results are robust across the two tests used in this study. Originality/value The findings are equally insightful to the fund managers and investors in South Asian countries. Taking into account the possible impact of COVID-19 on stock markets’ returns, investors can design their optimal portfolios more effectively. This study has another important implication in the sense that the impact of COVID-19 on the stock markets of South Asian countries may have spillover effects on other developing or even developed countries.

scholarly journals Nexus Between COVID-19 Infections, Exchange Rates, Stock Market Return, and Temperature in G7 Countries: Novel Insights From Partial and Multiple Wavelet Coherence

2021 ◽  
Vol 9 ◽  
Author(s):  
Sanjeet Singh ◽  
Pooja Bansal ◽  
Nav Bhardwaj ◽  
Anirudh Agrawal
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Exchange Rates ◽  
Wavelet Coherence ◽  
Market Returns ◽  
G7 Countries ◽  
Stock Market Returns ◽  
Market Return ◽  
Stock Market Return ◽  
Novel Coronavirus

This study attempts to analyze the time-varying pattern between the exchange rates, stock market return, temperature, and number of confirmed COVID-19 cases in G7 countries caused by the COVID-19 pandemic. We have implemented our analysis using wavelet coherence and partial wavelet coherence (PWC) on independent variables from January 4, 2021 to July 31, 2021. This paper contributes to the earlier work on the same subject by employing wavelet coherence to analyze the effect of the sudden upsurge of the COVID-19 pandemic on exchange rates, stock market returns, and temperature to sustain and improve previous results regarding correlation analysis between the above-mentioned variables. We arrived at the following results: 1) temperature levels and confirmed COVID-19 cases are cyclical indicating daily temperatures have a material bearing on propagating the novel coronavirus in G7 nations; 2) noteworthy correlations at truncated frequencies show that a material long-term impact has been observed on exchange rates and stock market returns of G7 and confirmed COVID-19 cases; 3) accounting for impact of temperature and equity market returns, a more robust co-movement is observed between the exchange rate returns of the respective nations and the surge in COVID-19 cases; and 4) accounting for the influence of temperature and exchange rate returns and the increase in the confirmed number of coronavirus-infected cases and equity returns, co-movements are more pronounced. Besides academic contributions, this paper offers insight for policymakers and investment managers alike in their attempt to navigate the impediments created by the coronavirus in their already arduous task of shaping the economy and predicting stock market patterns.

scholarly journals Are Asian Markets and Developed Markets Interlinked? An Application of Causality Approaches

2021 ◽  
Vol 9 (10) ◽  
pp. 375-382
Author(s):  
Dr. Archana Dixit
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Stock Returns ◽  
Inflation Rate ◽  
Developed Countries ◽  
Data Series ◽  
P Value ◽  
Causality Test ◽  
Stock Market Returns ◽  
Adf Test

Abstract: This paper examined the relationship between the stock market returns for three Asian countries and three developed countries. It Investigate two way causality among exchange rate, inflation rate, GDP, with stock returns of the sample countries. This paper examines long term and short term co movement of stock indices of stock market. To check the stationary this study apply unit root test, OLS test and found that data is stationary. This study used ADF test with and without intercept till data become intercept till the data become stationary. The data series is stationary at i(1) and 2 difference and intercept level as presented in above tables. The P value of ADF test in India GDP value is 0.0006, India exchange rate is 0.0002, and Indian stock return is 0.0001 which are less than 5%. It means data series is stationary. Bangladesh exchange rate is 0.0004, inflation rate is 0.0001, stock returns 0.0004. Also predicting the value of ADF test equation the coefficient value ids negative in all cases suggesting that the model is fit.. To investigate the causality The Granger causality test was applied to check the causal relationship between the variables and found that hypothesis is not rejected so there is no causality between the variable.

scholarly journals Do Macroeconomic Variables Affect Stock Market Performance? A Case Study of DSEX and DS30 Index of Dhaka Stock Exchange

2019 ◽  
Vol 9 (3) ◽  
pp. 182
Author(s):  
Emran Hasan ◽  
Shahanawaz Sharif
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Market Performance ◽  
Cointegration Analysis ◽  
Causality Test ◽  
Treasury Bill ◽  
Macroeconomic Variables ◽  
Stock Market Performance

Stock market performance– being the linchpin of an economy, requires variations in policies concerning macroeconomic variables. Keeping this in notion, this research assays the empirical association between stock market performance and a few selected macroeconomic variables namely interest rate, exchange rate, inflation rate, and 91-days Treasury bill rate using monthly data ranging from January 2013 to October 2018. Employing Johansen Cointegration analysis, the results of the study suggest that exchange rate and treasury bill rate are positive whereas interest rate and inflation rate are negatively associated with better stock market performance. Granger causality test implies bidirectional causality – between the interest rate and DS30 as well as DSEX while unidirectional causality is evident for both the indices which are running from interest rate, inflation and exchange rate to stock market performance. Formulation and implementation of prudent policies regarding the studied macroeconomic variables can lead to a healthy stock market outcome.

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