scholarly journals Relationship between Macroeconomic Variables and Stock Market: Case Study from Malaysia

2019 ◽  
Vol 4 (2) ◽  
pp. 102
Author(s):  
Yeen Lai, Khong ◽  
Kin Leong, Tang ◽  
Tee Peck Ling

<p><em>This study investigate the relationship between macroeconomic variables and FTSE Bursa Malaysia KLCI, the samples are divided into 2 groups such as foreign macroeconomic variables and local macroeconomic variables, foreign macroeconomic variables consist of Gold Bullion LBM price and Dow Jones Index, meanwhile local macroeconomic variables consist of Consumer Price Index, Base Lending Rate, Exchange Rate. This study employs data from Jan 2000 to Dec 2013 which contains a monthly data set of 168 observations. There are 3 methodologies used in this study to investigate the relationship, the first test is Unit Root test which used to test the stationary of each variable, the results indicate that all the variables are stationary in first difference, this is important to use stationary variables because if the variables are not stationary, it might lead to spurious regression. The second methodology is Johansen &amp; Juselius Co-integration test to investigate the long run relationship among these variables, the results show that the foreign macroeconomic variables and local macroeconomic variables have long run relationship with KLCI and significant. Next, this study will investigate the short run relationship between macroeconomic variables and KLCI, the results indicate that Gold, BLR and CPI can granger cause KLCI and significant at 1%, 5% significance level respectively.</em></p>

Author(s):  
Amith Vikram Megaravalli

The objective of this chapter is to examine the long-run and the short-run relationship between India, China, and Japanese stock markets and key macroeconomic variables such as exchange rates and inflation (proxied by consumer price index) of ASIAN 3 economies (India, China, and Japan). Monthly time series data spanning the period from 2008 January to November 2016 has been used. The unit root test, the cointegration test, Granger causality test, and pooled mean group estimator have been applied to derive the long-run and short-run statistical dynamics. The findings of pooled estimated results of ASIAN 3 countries show that exchange rate has a positive and significant long-run effect on stock markets while the inflation has a negative and insignificant long-run effect. In the short run, there is no statistically significant relationship between macroeconomic variables and stock markets. This study emphasizes the impact of macroeconomic variables on the stock market performance of a developing economy (India and China) and developed economy (Japan).


2017 ◽  
Vol 5 (10) ◽  
pp. 263-269
Author(s):  
Ranjusha ◽  
Devasia ◽  
Nandakumar

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.


Author(s):  
Constantine Cantzos ◽  
Petros Kalantonis ◽  
Aristidis Papagrigoriou ◽  
Stefanos Theotokas

This chapter examines the relationship between stock returns of companies listed in the FTSE-20 on the Athens Exchange and behavioral indicators. The research is based on the behavioral APT model, which examines stock returns' risk factors through the involvement of macroeconomic variables and behavioral indicators. The data is the closing price of 17 shares listed in the FTSE-20 index, a number of macroeconomic variables, and a series of behavioral indicators for the period of January 2001-December 2014. Regressions were conducted with dependent variable stock returns of a portfolio invested equally in these 17 stocks. In addition, the research tests the existence of long-run and short-run equilibrium and causality. The change in the industrial production index along with the risk premium have a positive and significant impact on the portfolio returns. Johansen's test showed that there is a long-run equilibrium between stock returns, macroeconomic variables, and behavioral indicators. The VECM and VAR models showed that there is not long and short-run causality, not even Granger causality. No similar research has been conducted in Greece, thus it fills a literature gap.


2016 ◽  
Vol 5 (2) ◽  
pp. 44
Author(s):  
MERARY SIANIPAR ◽  
NI LUH PUTU SUCIPTAWATI ◽  
KOMANG DHARMAWAN

Tourism demand is focused on estimating variables which influence tourist visit. The tourism demand that we discuss on this research is the tourism demand to Bali of the major tourism-generating country was Australia. The aim of this research is to analyze the relationship between tourist income and tourism price to tourism demand using VECM. VECM requires that the variables in the model must be stationary and fulfilled a cointegration condition. In order to make it valid, the stationarity of variables in the model have to be checked using ADF unit root test. In additon, cointegration between these variables are examined using Johansen’s cointegration test. The results of ADF unit root test show that indicated the tourist income, the tourism price and the tourism demand for Australia data are stationary in first lag or I(1). Cointegration test shows that all variables are cointegrated, i.e. have a long-run relationship. In the long-run, the tourist income and tourism price give positive effect to the tourism demand. This means, the increase of tourist income and tourism price will contribute to the increase in tourism demand. In addition, in the short-run, the tourist income and the tourism price give negative effect to the tourism demand. This means, the increase of tourist income and tourism price will contribute to the decrease in tourism demand.


Author(s):  
Issoufou Oumarou

Purpose: The aim of the paper is to examine the existence or not of a long run or a short run relationship between public debt and economic in Niger and investigate the significance of this relationship. Approach/Methodology/Design: The study first applied time series econometrics tests such as Augmented Dickey-Fuller (ADF) unit root test, Bound cointegration test and Auto Regressive Distributed Lag (ARDL) on annual data obtained from the International monetary fund (IMF) and the West African States Central Bank (BCEAO). The observations cover the period from 1970 to 2019. The study then performed some residual tests including serial correlation, normality and heteroskedasticity for the accuracy of the prediction of the model. Findings: The empirical results showed no long run relationship between public debt and economic growth in Niger. The short run analysis revealed that public debt and budget balance have short run causal effects on economic growth in Niger. The coefficients are significant at 10% significance level. Practical Implications: This article gives valuable information to Niger policy makers regarding the effects of public debt on Niger economic growth. The article highlights the effects that public debt has on economic growth in Niger in the short and long run. Therefore helping policy makers decide whether to increase or reduce the borrowing trend. Originality/value: The results of the paper give valuable information on the relationship that public debt may have with economic growth in Sub Saharan African countries with the similar macroeconomic indicators with Niger.


This study investigated the relationship between macroeconomic variables and the performance of deposit money banks in Nigeria, analyzed with suitable finametric tools. The results of the empirical examination found that all the macroeconomic variables employed (economic growth rate, interest rate, inflation rate, money supply and exchange rate in this study have no significant relationship with bank performance. It was also observed that each and jointly, the macroeconomic variables do not cause bank performance both in the short run and long run. Again, that bank performance responds insignificantly to the shocks of all the macroeconomic variables. Consequently the researchers advocate that deposit money banks in Nigeria with inherent discretionary policy be proactive to the monetary and fiscal policies of regulatory authorities in order to enhance their performance.


2017 ◽  
Vol 10 (4) ◽  
pp. 191
Author(s):  
Mohammed Saiful Islam ◽  
Riduanul Mustafa

This paper examines the relationship between inflation rate (percentage change in consumer price index) and unemployment rate (number of unemployed persons as a percentage of the labor force) by using modern econometric approach to find a “Phillips Curve”. Using US data of both monthly and yearly frequency, the paper    finds the existence of a long-run trade-off between inflation and unemployment. A linear form of the Phillips curve is estimated for the USA using ordinary least squares estimation (OLS). The co integration test shows the long run relation between the variables. This contradicts the theory that in long run the Phillips curve should be vertical. Some of the findings can be summarized as follows: (a) the Phillips Curve fits the data well; (b) inflation of previous year influences the present rate of inflation and (c) both monthly data and yearly data support the existence of Phillips curve in the long run


2018 ◽  
Vol 10 (6) ◽  
pp. 383
Author(s):  
Abda Abdalla Emam ◽  
Nagat Ahmed Elmulthum ◽  
Amal Saeed Abass

An attempt was made in the study to understand the nature of the market integration. The study was based mainly on monthly wholesale price of sorghum in four market locations; namely Khartoum, Elobied, Gdarif and Damazin. Sorghum wholesale price series was used for the period from January 2012 to December 2016. Unit root test, Johnson co-integration test and Error Correction model were used to disclose stationary series, the long run relationship and short run relationship between these markets, respectively. The result showed that, long run relationship was indicated between all pairs of markets, except between Khartoum and Elobied market (consumption or deficit market). Long run equilibrium indicated adjustment to surplus markets (Gadarief and Damazin). This result may be interpreted by the fact that these markets are connected by good communication and transportation. From ECM model, Wholesale sorghum prices in all markets (higher price) quickly fall back towards Gadarif market whereas Gadarif adjusts back to Khartoum. Also, higher wholesale prices in Damazin quickly fall back towards all markets. There is short run causality running from: Gadarif and Damazin to Khartoum, Gadarif to Elobied and Khartoum to Damazin market. Long run equilibrium indicated adjustment to surplus markets (Gadarief and Damazin).This result may be reflected to good communication and transportation between the markets.


2015 ◽  
Vol 42 (1) ◽  
pp. 64-81 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri

Purpose – The purpose of this paper is to examine the relationship between financial development and income inequality in India using annual data from 1982-2012. Design/methodology/approach – Stationarity properties of the series are checked by using ADF, DF-GLS, KPSS and Ng- Perron unit root tests. The paper applied the auto regressive distributed lag (ARDL) bound testing approach to co-integration to examine the existence of long run relationship; and error correction mechanism for the short run dynamics. Findings – The co-integration test confirms a long run relationship between financial development and income inequality for India. The ARDL test results suggest that financial development, economic growth, inflation aggravates the income inequality in both long run and short run. However, trade openness reduces the gap between rich and poor in India. Research limitations/implications – The present recommend for appropriate economic and financial reforms focussing on financial inclusion to reduce income inequality in India. Originality/value – Till date, there is hardly any study that makes a clear comparison between market-based indicator and bank based indicator of financial development in India and those examining the relationship between finance and income inequality nexus. Further there is hardly any study to include gini coefficient as a proxy for inequality for India and apply ARDL techniques of co-integration, using the basic principles of GJ hypothesis and provide short run and long run dynamics for India. So the contribution of the paper is to fill these research gaps.


2014 ◽  
Vol 1073-1076 ◽  
pp. 1337-1340
Author(s):  
Yan Ren

This paper used methods of co-integration analysis and Granger causality estimation to test the relationship between energy consumption and urbanization in Shandong province from 1995 to 2012. Econometric software—Eviews 6.0 was used during the calculation process. All the empirical study experienced several steps including unit root test, co-integration test, error correction model as well as Granger causality estimation. Despite the short-run fluctuation, the empirical study showed that there was a stable equilibrium relationship between energy consumption and urbanization in Shandong province in the long-run. Meanwhile there was a one-way causality relationship from energy consumption to urbanization in Shandong province. Under the background of energy shortage, several energy policies should be carried out to maintain the sustainable energy consumption and urbanization in Shandong province.


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