scholarly journals Dynamic Interaction Between Nifty 50 and Nifty Sectoral Indices: An Empirical Study on Indian Stock Indices

2021 ◽  
Vol 29 (02) ◽  
pp. 17-24
Author(s):  
Ramya K ◽  
◽  
Bhuvaneshwari D ◽  
Keyword(s):  
Stock Exchange ◽  
Granger Causality Test ◽  
Dynamic Interaction ◽  
Stock Index ◽  
Causality Test ◽  
Financial Planners ◽  
Augmented Dickey Fuller ◽  
Johansen Cointegration Test ◽  
Financial Awareness ◽  
Adf Test

This study aims to determine the cointegrating and causal relationship between Nifty 50 and Nifty sectoral indices. Historical index data of the select indices were collected from the National Stock Exchange (NSE) database for the period Jan 2014 - Dec 2018. Appropriate Econometric tools - Augmented Dickey-Fuller (ADF) test, Phillips and Perron (PP) test, regression model, Granger causality test, and Johansen cointegration test were used to analyze the data. The findings of the study imply that the movements of Nifty sectoral index prices could determine the flow of stock index prices, i.e., Nifty 50 and vice versa during the period of the study which could also help the policymakers and financial planners in providing financial awareness to investors and clients in decision making.

scholarly journals NILAI TUKAR RUPIAH DAN NET EKSPOR INDONESIA 2000 – 2017 (GRANGER CAUSALITY TEST)

2020 ◽  
Vol 1 (1) ◽  
pp. 9-24
Author(s):  
Try Beta Anggraini ◽  
Yefriza Yefriza
Keyword(s):  
Exchange Rate ◽  
Granger Causality ◽  
Time Series Data ◽  
Secondary Data ◽  
Granger Causality Test ◽  
Series Data ◽  
Causality Test ◽  
Augmented Dickey Fuller ◽  
Net Export ◽  
Adf Test

The aims of this research is to find out the relationship of rupiah exchange rate and net export Indonesia. This research covers the periode for 2000.Q1-2017.Q4, used secondary data which were analyzed using Granger Causality Test and Augmented Dickey Fuller (ADF) and existing data processed by using computer program of Eviews 9.0. The stationary properties of the time series data are examined by using Augmented Dickey-Fuller (ADF) test. Granger Causality test is applied to find out long-run relationship along with causality among the variables. The result of the data analysis show that there is no causality between rupiah exchange rate and net xport. Granger Causality test showed that there is unidirectional causality between net export to rupiah exchange rate. It is mean that net export  effect rupiah exchange rate, but rupiah exchange rate does not effect net export. Keywords: Causality, Net Export, Exchange Rate

scholarly journals Stochastic Pattern of Major Indices of Bombay Stock Exchange

2019 ◽  
Vol 8 (3) ◽  
pp. 6774-6779
Keyword(s):  
Granger Causality ◽  
Stock Exchange ◽  
Granger Causality Test ◽  
Short Term ◽  
Causality Test ◽  
Policy Makers ◽  
Long Run ◽  
Integration Test ◽  
Augmented Dickey Fuller ◽  
Portfolio Managers

It is interesting to get inside and draw a meaningful inference by studying the movement of various stock indices. Portfolio managers, analysts, and investors are very keen to know about the technical pattern of indices. They consider the stock market is one of the economic barometers or market indicators of an economy. Indian financial market has undergone radical and vital change during the past few years. The purpose of this study is to check stochastic movements in selected indices and to signify nexus and interdependency among one another by the virtue of econometric analysis. The study comprises of daily closing value from 1st April 2014-1st April 2018, including major indices i.e. S&P-BSE 100; S&P-BSE-200, S&P BSE-500, S&P-BSE:Large cap, S&P-BSE:Mid-cap, S&P-BSE:small-cap, and BSE-SENSEX. Moreover, typical econometrics tool Augmented Dickey-Fuller Test, Granger Causality Test, and Johansen Co-integration Test were implemented to conclude the result. The study is one of its kinds to analyze the static and pair wise relationship among seven BSE indices along with the direction of their expected future movement that would help practitioners, policy makers and investors in anticipating the future movement of the indices. The Dickey-Fuller and Johanson test administered to analyze unit root and co-integration among the series in long run, followed by Granger causality test to observe the route of the short term relationship among various indices. The tests reveal uni-directional and in some cases bi-directional causality in selected indices. Further, it has been observed that due to co-integration, prices of different indices can’t move far away from one another [1]. This stochastic study delves volatility pattern of some major indices of Bombay stock exchange with the help of econometric tools. It clearly delineates nexus of all the indices and provided an explanation to appreciate concrete conduct of one series into a mutual relationship. Hence, investors or analyst may predict the movements, interdependency and their relationship in a significant manner.

scholarly journals Long run relationship between economic growth, export, population and investment of Ethiopia

2018 ◽  
Vol 8 (2) ◽  
pp. 61-69
Author(s):  
M Leta ◽  
L Zemedkun
Keyword(s):  
Economic Growth ◽  
Granger Causality Test ◽  
Annual Data ◽  
Causality Test ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Development Indicator ◽  
World Development Indicator ◽  
Adf Test ◽  
World Development

The objective of this study is to examine the long-run relationship between economic growth, population, export, and investment in Ethiopia using annual data collected from the World development indicator, and FAOSTAT for 18 years from 1990-2007 E.C. Co integration and Granger Causality test. Stationary properties of the data and the order of integration of the data were tested using the Augmented Dickey-Fuller (ADF) test. Variables were non-stationary at levels but stationary in first differences. The long-run effects of Population, export and investment on Economic growth indicated that these variables are positively related to economic growth and statistically significant at 1% level. Int. J. Agril. Res. Innov. & Tech. 8 (2): 61-69, December, 2018

scholarly journals Comparison of the Effect of Vix Fear Index on Stock Exchange Indices of Developed and Developing Countries: the G20 Case

2020 ◽  
Vol 15 (1) ◽  
pp. 105-121
Author(s):  
Ömer İskenderoglu ◽  
Saffet Akdag
Keyword(s):  
Developing Countries ◽  
Causal Relationship ◽  
Stock Exchange ◽  
Granger Causality Test ◽  
Developed Countries ◽  
Stock Index ◽  
Causality Test ◽  
Daily Data ◽  
Fear Index ◽  
Stock Index Returns

AbstractThis study aims to examine the potential causal relationship between the VIX and the indicator stock exchange index returns of G20 (9 developed and 10 developing) countries. Nineteen countries of the sample are G20 countries with available data. In this respect, the frequency domain Granger causality test of Breitung and Candelon (2006) is employed for the daily data between March 2011 and December 2017. The results obtained from the study indicate that there is no causal relationship between the VIX and the returns of the NASDAQ 100 index in developed countries. Similarly, no causal relationship is detected which runs from the VIX to the BIST100, BOVESPA, MERVAL, S&P/BMV IPC and TADAWUL stock index returns in developing countries. As a result, the causal relationship is more tend to be found in developed countries in comparison to developing countries.

scholarly journals Efficient Model Selection for Nifty Index and Impact of Money Supply, Gold and Exchange Rate on S&P Nifty 50

2017 ◽  
Vol 7 (2) ◽  
pp. 309
Author(s):  
Vishweswarsastry V.N ◽  
Binoy Mathew ◽  
Aisha Banu
Keyword(s):  
Stock Exchange ◽  
Granger Causality Test ◽  
Primary Objective ◽  
Economic Importance ◽  
Future Period ◽  
Causality Test ◽  
Macroeconomic Factors ◽  
First Order ◽  
Selection For ◽  
Adf Test

<div><p><em>The economic importance of stock market results from marketability which is increased or increasing resulting from quotation of shares from a stock exchange. Stock Indices attracts most of the investors and volatile to market conditions which affects the return of the investors. The primary objective of the paper is to study the effect of macroeconomic factors on NIFTY secondly to analyse and check the stationarity among various economic indicators and Nifty and thirdly to judge the best model for estimating the nifty. The methodology applied for the study is analytical and an econometric tool like ADF test, ARDL, Pairwise granger causality test and VAR is applied for regressing the index. The Variables was stationary at first order of difference for the nifty to regress for future period which aids investors in decision making.</em></p></div>

scholarly journals PRICE INTERACTIONS AND CAUSAL RELATIONSHIPS AMONG CORN, EXCHANGE RATE AND ANIMAL PROTEIN SOURCES IN NIGERIA

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Unekwu Onuche
Keyword(s):  
Exchange Rate ◽  
Granger Causality ◽  
Poultry Meat ◽  
Causality Test ◽  
Vector Autoregressive ◽  
Meat Price ◽  
Augmented Dickey Fuller ◽  
Causality Tests ◽  
Short Run ◽  
Adf Test

Price transmissions between corn, exchange rate, poultry meat, and fish were investigated using the data from OECD-FAO for the years 1990-2019, to establish the existence of long-term relationships between them and identify their directions of causality, in order to elicit investmentaiding facts. The augmented Dickey-Fuller (ADF) test, the Johansen cointegration approach and the Granger causality test were employed. Following the ADF test, all series are I(1), while the cointegration test indicates short-run dynamics between them. The Vector Autoregressive (VAR) system reveals that poultry meat price influences all variables, prices of poultry meat and exchange rate relate positively to their own lags, and exchange rate relates positively to lags of poultry meat prices. A positive relationship was noticed between fish price and lags of poultry meat price, while corn price relates positively with lags of poultry meat price. Granger causality tests indicate unidirectional drives from poultry price to fish price, the exchange rate to fish price and poultry meat price to corn price. Responses from prices of fish, corn and poultry to innovations from exchange rate are negative, while positive responses exist in other scenarios. Exchange rate stabilization will mitigate external risks, especially to the fisheries sector, while corn farmers can increase profits in the short-run by exploring knowledge of poultry meat price movements.

scholarly journals Dynamic linkage between nifty-fifty and sectorial indices of national stock exchange

2020 ◽  
Vol 3 (2) ◽  
pp. 17-27
Author(s):  
Kamaljit Singh ◽  
Vinod Kumar
Keyword(s):  
Causal Relationship ◽  
Granger Causality ◽  
Unit Root ◽  
Service Sector ◽  
Banking Sector ◽  
Stock Exchange ◽  
Unit Root Test ◽  
Granger Causality Test ◽  
Financial Service ◽  
Causality Test

The main objective of this paper is to analyze the trend and pattern of the Nifty-Fifty and sectorial indices. An attempt has been also made to find out the causal relationship among the Nifty-Fifty and NSE sectorial Indices. The unit root test and Granger-causality test has been applied to check the causal relationship between Nifty-Fifty and sectorial indices. The finding of the study shows that the financial service sector had performed better and followed by the banking sector among all the indices while the Pharma sector and the Realty sector were Under-performed in comparison to other indices. The Nifty-Fifty has been found less volatile in comparison to other sectorial indices however Realty sector indices show the highest volatility during the study period.

scholarly journals The Relationships between Exchange Rates and Stock Prices: Empirical Investigation from Johannesburg Stock Exchange

2019 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Gazi Salah Uddin ◽  
Khan Md. Raziuddin Taufique
Keyword(s):  
Exchange Rate ◽  
Market Efficiency ◽  
Stock Prices ◽  
Stock Exchange ◽  
Unit Root Test ◽  
Rate Sensitivity ◽  
Causality Test ◽  
Johannesburg Stock Exchange ◽  
Long Run ◽  
Adf Test

This study seeks evidence supporting the existence of market efficiency and exchange rate sensitivity on stock prices in the Johannesburg stock exchange (JSE). The sample includes the daily price indices of all securities listed on the JSE, and the exchange rate of the USD/Rand for the period since January 2000 to December 2004. The results from the unit root test, the ADF test and the causality test at the Granger sense provide evidence that the Johannesburg stock exchange (JSE) is informationally efficient. It has a long run comovement with exchange rate, and long run equilibrium or steady state. Hence, in JSE there is a strong possibility that foreign direct investors and forex market traders cannot influence and gain abnormal extra benefits by using exchange rate mechanism or by using exchange rate to forecast stock prices in the market. So, JSE is semi-strong form efficient. Through cointegration test, this paper gives more insight on the concept of market efficiency and the reliability of the results. These results are important to security analysts, investors, and security regulatory exchange bodies in policy making decision to improve the market conditions

Contribution of StockMarket Towards Economic Growth: An Empirical Study on Bangladesh Economy

2017 ◽  
Vol 13 (4) ◽  
pp. 238 ◽  
Author(s):  
Sonia Rezina ◽  
Nusrat Jahan ◽  
Mohitul Ameen Ahmed Mustafi
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Market Performance ◽  
Unit Root Test ◽  
Causality Test ◽  
Stock Market Development ◽  
Stock Market Performance ◽  
Augmented Dickey Fuller ◽  
Johansen Cointegration Test ◽  
The Impact

The economic growth of a country is influenced by many different factors. This study aims to investigate the causal relationship between stock market development and economic growth in Bangladesh as well as the impact of stock market performance upon the economic growth of Bangladesh. The stock market performance has been measured by market capitalization ratio, number of listed companies, total value traded and turnover ratio; and the economic growth was represented by real gross domestic product. The periods taken for study were from year 1994 to year 2015.The effect of the stock market reform will also be addressed to explain the relationship. The study has been conducted using Augmented Dickey- Fuller Unit Root Test, Johansen Cointegration Test and the Granger Causality Test. The findings of the research should help the policy makers and regulators to look after their interest in the financial sector of the country.

scholarly journals Effect of Interest Rate on Stock Prices in Ghana

2021 ◽  
Vol 12 (1(S)) ◽  
pp. 1-7
Author(s):  
Peter Arhenful ◽  
Augustine Kwadwo Yeboah ◽  
Kofi Sarfo Adjei
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Stock Prices ◽  
Time Series Data ◽  
Stock Exchange ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Augmented Dickey Fuller ◽  
Ghana Stock Exchange ◽  
Adf Test

The paper assesses the effect of interest rate on stock prices, with emphases on Ghana Stock Exchange; using monthly time series data from July 2007 to December 2019. The Augmented Dickey-Fuller (ADF) test was employed to establish the stationarity properties of the data or otherwise. Using the Ordinary Least Squares (OLS) estimation technique of Multiple Regression, the results (? = – 0.891, p < 0.05) revealed an indirect association between interest rates and stock prices in the Ghanaian context; which is consistent with the theoretical conclusion that an increase in interest rate results in a decrease in stock prices. Thus, in the light of this finding, it was recommended that policymakers should consider the stock market dynamics due to the significant relationship that exists between the two macroeconomic variables.

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