scholarly journals Exploring the Nexus; Stock Market, T. Bills, Inflation, Interest Rate and Exchange Rate

2012 ◽  
Vol 4 (7) ◽  
pp. 384-389
Author(s):  
Syed Imran Sajjad ◽  
Saleem Ullah Jan . ◽  
Madiha Saddat . ◽  
Ijaz ur Rehman .
Keyword(s):  
Developing Countries ◽  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Granger Causality ◽  
Inflation Rate ◽  
Economic Indicators ◽  
Stock Index ◽  
Series Data ◽  
Treasury Bills

The main objective of this study is to examine the relationship between Karachi stock exchange and macroeconomic variables i.e. inflation rate, exchange rate, treasury bills and interest rate. Monthly time series data from January 2005 to December 2010 have been used to investigate the causal association among macroeconomic indicators and Karachi stock market. The co-integration test and Granger Casualty have been applied to drive the short and long-term investigation. The results found bi directional Granger causality among KSE and exchange rate and One way Granger causality exists among KSE and interest rate, no Granger causality found among KSE and inflation rate and KSE and treasury bills. Which means performance of macro-economic variable somehow affects the stock index; moreover, stock prices in Pakistan do not reflect the macro-economic condition of the country. This study emphasizes on the crash of macro-economic indicators on the capital market performance of developing countries. The performance of capital markets of developing countries calculated by these macro-economic indicators.

scholarly journals The Impact of Macroeconomic Variables on Sectoral Indices in Indonesia

ETIKONOMI ◽  
2017 ◽  
Vol 16 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Bambang Sutrisno
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Inflation Rate ◽  
Emerging Market ◽  
Estimation Method ◽  
Least Square ◽  
Series Data ◽  
Macroeconomic Variables ◽  
The Interest Rate ◽  
The Impact

This study aims to examine the effect of macroeconomic variables on sectoral indices in the Indonesian Stock Exchange. The difference in sensitiveness among sectors is an interesting issue to investigate this relationship in an emerging market, such as Indonesia. This study employs ordinary least square (OLS) as an estimation method with monthly time-series data from January 2005 to December 2014. The results document that the interest rate, inflation rate, and exchange rate simultaneously have a significant effect on sectoral indices in Indonesia. The interest rate partially shows a significant negative influence on all sectors except basic industry and chemical, finance, infrastructure, utilities, and transportation, and miscellaneous industry sectors. The inflation rate partially has no significant effect on all sectors. The exchange rate partially has a significant negative impact on all industries.DOI: 10.15408/etk.v16i1.4323

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.

scholarly journals Effects of Interest Rate on Stock Market Returns in Kenya

2017 ◽  
Vol 9 (8) ◽  
pp. 40
Author(s):  
Donald A. Otieno ◽  
Rose W. Ngugi ◽  
Nelson H. W. Wawire
Keyword(s):  
Interest Rate ◽  
Stock Market ◽  
Granger Causality ◽  
Moving Average ◽  
Market Returns ◽  
Treasury Bills ◽  
Stock Market Returns ◽  
Long Run ◽  
Lending Rate ◽  
Short Run

Debate on the stochastic behaviour of stock market returns, 3-month Treasury Bills rate, lending rate and their cointegrating residuals remains unsettled. This study examines the stochastic properties of the macroeconomic variables, stock market returns and their cointegrating residuals using an Autoregressive Fractionally Integrated Moving Average (ARFIMA) model. It also investigates Granger causality between the two measures of interest rate and stock market returns. The study uses monthly data from 1st January 1993 to 31st December 2015. The results indicate that the 3-month Treasury Bills rate, lending rate and stock market returns are fractionally integrated which implies that shocks to the variables persist but eventually disappear. The results also reveal that the cointegrating residuals are fractionally integrated which suggests that a new and harmful long-run equilibrium might be established when each of the measures of interest rate is driven away from stock market returns. Additionally, the results indicate that the 3-month Treasury Bills rate and lending rate negatively Granger cause stock market returns in the long run. This suggests that stocks and Treasury Bills are competing investment assets. On the other hand, ARFIMA-based Granger causality reveals that stock market returns lead the 3-month Treasury Bills rate and lending rate with a negative sign in the short run. This implies that a prosperous stock market results into a favorable macroeconomic environment. A key contribution of this study is that it is the first to empirically examine fractional cointegration and ARFIMA-based Granger Causality between interest rate and stock market returns in Kenya.

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 A STUDY OF INDONESIA’S STOCK MARKET

2019 ◽  
pp. 465-476 ◽  
Author(s):  
Dinh Hoang Bach Phan ◽  
Thi Thao Nguyen Nguyen
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Least Squares ◽  
Generalized Least Squares ◽  
Stock Index ◽  
Monthly Data ◽  
Generalized Least Squares Estimator ◽  
The Interest Rate ◽  
Stock Index Returns

Using monthly data from January 1995 to December 2017, this paper tests whetherIndonesian stock index returns are predictable. In particular, we use eight macrovariables to predict the Indonesian composite and six sectoral index returns using thefeasible generalized least squares estimator. Our results suggest that the Indonesianstock index returns are predictable. However, the predictability depends not only onthe macro predictor used but also on the indexes examined. Second, we find that themost popular predictor is the exchange rate, followed by the interest rate. Finally, ourmain findings hold for a number of robustness tests.

scholarly journals Evaluation of the Impact of Macroeconomic Variables on Stock Market Performance in Nigeria

2019 ◽  
Vol 5 (2) ◽  
pp. 34 ◽  
Author(s):  
Cordelia Onyinyechi Omodero ◽  
Sunday Mlanga
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Price Index ◽  
Market Performance ◽  
Share Price ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Stock Market Performance ◽  
The Impact

Stock market is an essential part of a nation’s economy and requires adequate evaluation of all factors that militate against its performance. This study investigates the role of macroeconomic variables in determining the stock market performance in Nigeria using annual time series data covering a period from 2009 to 2018. These data have been sourced from the World Bank Development Indicators, International Monetary Fund and CBN Statistical Bulletin. The results from the regression analysis indicate that exchange rate and interest rate do not have significant impact on share price index while inflation rate exerts a significant negative influence on share price index. On the contrary and in line with the concept of GDP and stock market performance, GDP significantly and positively impacts on share price index. The study among others suggests that the growth of the economy should be maintained to keep stock market flourishing while macroeconomic variables such as inflation, interest rate and exchange rate should be appropriately regulated by the relevant authorities to curtail all negative influences on stock market performance.

scholarly journals Economic Interactions among Stock Market Performance and Macroeconomic Variables with Mediating Role of Gold Prices Volatilities: An Evidence from Pakistan

2021 ◽  
Vol 7 (3) ◽  
pp. 383-394
Author(s):  
Rukhsana Rasheed ◽  
Mazhar Nadeem Ishaq ◽  
Rabia Anwar ◽  
Mehwish Shahid
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Market Performance ◽  
Stock Market Index ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Stock Market Performance ◽  
The Impact

In all emerging economies, one of the most challenging issues for investors is the multifaceted inter-relationship between volatility of gold prices and stock market index. During the COVID-19 sub-periods, gold has shown a strong hedging behavior against stock market performance. The main objective of this study was to quantify the long-run relationship among multiple independent macroeconomic variables (predictors) on stock market index (response variable) using the volatilities of gold prices as a mediator factor. This study applied the descriptive statistics, correlation, t-test and OLS multiple regression Model. The specific data comprised of period 2011-2020 regarding the fluctuations in gold prices, exchange rate, interest rate, inflation rate and performance of stock market index has been utilized. The statistical outputs of models showed that exchange rate (Dollar to PKR) was positively affecting the performance of Karachi Stock Exchange (KSE)-100 Index, whereas inflation rate and interest rate were negatively affecting the overall performance of KSE100 index. The findings of this study suggested that to achieve better performance of stock market, relatively low interest rate and inflation rate contribute a significant role. However, to increase the generalization capabilities of this study the impact of mentioned macroeconomic variables in other sectors like industrial production, oil & gas and energy sectors with wider time span can be more helpful.

scholarly journals DAMPAK KEBIJAKAN MONETER TERHADAP STABILITAS RUPIAH

2017 ◽  
Vol 15 (3) ◽  
pp. 416
Author(s):  
Azhar Bafadal
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Money Supply ◽  
Inflation Rate ◽  
Series Data ◽  
Small Magnitude ◽  
Long Run ◽  
The Exchange Rate ◽  
The Interest Rate ◽  
The Impact

This research aimed to study the impact of monetary policy on the rupiah stability. Variables used were the interest rate of Bank Indonesia Certificate (SBI), the rate of inflation (IHK), the exchange rate of rupiah against the US dollar (Kurs) and the money supply in the narrow sense (M1). Data used were of quarterly time series data of Bank Indonesia and Central Bureau of Statistic, covering 2002.1-2010.4. The analysis was undertaken by using a vector autoregression model (VAR), through the Impulse Response Function (IRF) and Forecast error variance decomposition (FEVD). The research results showed that in the sort run shocks of SBI  decreased the inflation rate, and in the long run the inflation rate was constant. The exchange rate tended to be appreciated in the short run and long run although in a small magnitude. Money supply decreased with a minor fluctuation. Initially, the money supply shocks increased the interest rate of SBI, but decreased in the long run. The rate of inflation fluctuated in the sort run but it was constant in the long run. The exchange rate was depreciated both in the sort run and in the long run.

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