scholarly journals Granger Causality Test of Net Interest Margin and Liquidity

2020 ◽  
Vol 18 (2) ◽  
pp. 111-122
Author(s):  
Pristin Prima Sari ◽  
Ardian Prima Putra ◽  
Risal Rinofah
Keyword(s):  
Granger Causality ◽  
Stock Exchange ◽  
Granger Causality Test ◽  
Financial Statement ◽  
Empirical Literature ◽  
Future Research ◽  
Causality Test ◽  
Reserve Requirement ◽  
Net Interest Margin ◽  
Interest Margin

The study aims to compute causality Granger test on Net Interest Margin (NIM) and liquidity  Bank Listed in Indonesia Stock Exchange for the period 2014-2018. Variable of liquidity uses proxies Legal Reserve Requirement (LRR) and Loan to Deposit Ratio (LDR). The statistics tool is E-Views 8th with Granger Causality test. The Data research is financial statement Bank in IDX. We provide finding in the relationship among NIM, LRR and liquidity ratio Bank. We found result that there is Granger causality NIM and LRR, NIM and Loan to Deposit Ratio (liquidity) and Reserve Requirement and LDR. The study is beneficial for management bank to make policy in net interest margin and liquidity, for future research to develop empirical literature in net interest margin, Legal Reserve Requirement and Loan to Deposit Ratio.

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.

PENGARUH VOLATILITAS NILAI TUKAR, IDR-USD TERHADAP RETURN SAHAM DI BURSA EFEK INDONESIA: PENERAPAN MODEL GARCH

2019 ◽  
Vol 14 (2) ◽  
pp. 95
Author(s):  
Rahmadiva Dianitha Danial ◽  
Brady Rikumahu
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Granger Causality ◽  
Stock Price ◽  
Foreign Exchange Market ◽  
Stock Exchange ◽  
Composite Index ◽  
Granger Causality Test ◽  
Causality Test ◽  
Stock Market Returns

Penelitian ini bertujuan untuk menguji pengaruh  volatilitas return nilai Kurs IDR-USD terhadap volatilitas return pasar saham di Bursa Efek Indonesia. Dari pengambilan data sekunder dari 3 Januari 2012 hingga 29 September 2017 diperoleh data time series sebanyak 1404 hari. Data  dianalisis dengan model  GARCH dan Uji Granger Causality. Berdasarkan hasil permodelan GARCH(1,1), volatilitas kurs mempengaruhi volatilitas IHSG. Uji Granger Causality menunjukkan bahwa volatilitas kurs  dan IHSG memiliki hubungan yang kausal dua arah. Penelitian ini menunjukkan bahwa informasi kurs dapat memprediksikan kondisi harga indeks saham di pasar modal di periode hari berikutnya, begitupun sebaliknya. Prediksi tepat yang dilakukan oleh investor akan mengurangi risiko dan meningkatkan imbal hasil dalam berinvestasi jika pasar uang maupun pasar modal yang sedang bergejolak.  Kata Kunci: GARCH, Volatilitas, IHSG, Nilai Tukar ABSTRACT This study aims to examine the effect of the volatility of the return on the IDR-USD exchange rate toward  the volatility of stock market returns in the Indonesia Stock Exchange. From the data collection from 3 January 2012 until 29 September 2017 we obtained 1404 time series. Analyzing data, this study used  GARCH modeling and Granger Causality Test. The selected GARCH (1,1) modeling result shows that the volatility of exchange rate influences the volatility of Indonesian Composite Index.  Granger Causality test shows that the volatility of exchange rate and volatility of Indonesian Composite Index have two-way granger cause. This study indicates that exchange rate information can predict the condition of stock price index in capital market and movement of Indonesian Composite Index (ICI) can predict exchange rate movement in foreign exchange market. Appropriate predictions by investors will reduce the risk and increase the yield in investing if the money market and capital markets are fluctuating high. Keywords: GARCH, Volatility, ICI, Exchange Rate

scholarly journals CONTAGION EFFECT ANTAR NEGARA ASEAN-5

2018 ◽  
Vol 3 (2) ◽  
pp. 203
Author(s):  
R Adisetiawan ◽  
Ahmadi Ahmadi
Keyword(s):  
Granger Causality ◽  
Mutual Influence ◽  
Stock Exchange ◽  
Granger Causality Test ◽  
Stock Exchanges ◽  
Contagion Effect ◽  
Causality Test ◽  
Monthly Return ◽  
Return Data

This study was conducted to determine whether there is a contagion effect on the stock exchanges among ASEAN-5 countries (Indonesia, Singapore, Malaysia, Thailand and Philippines) during 2001.1 - 2018.5 period using the monthly return data of the five ASEAN-5 stock exchanges. This study uses granger causality test to see the direction of mutual influence that indicates the existence of contagion effect. The results revealed that the Indonesian stock exchange has a mutually influential relationship with the Thai stock exchange.

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 Existe Alguma Relação entre Retornos Contábeis e Retornos do Mercado de Ações no Brasil?

2007 ◽  
Vol 5 (2) ◽  
pp. 233
Author(s):  
Newton Carneiro Affonso da Costa Jr. ◽  
Roberto Meurer ◽  
César Medeiros Cupertino
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
Stock Exchange ◽  
Granger Causality Test ◽  
Market Returns ◽  
Causality Test ◽  
Stock Market Returns ◽  
Weak Evidence ◽  
Causality Tests ◽  
The Relationship

This paper examines the relationship between accounting and stock market returns of Brazilian companies on a quarterly basis. The sample consisted of 97 companies with stocks traded in the Sao Paulo Stock Exchange from January of 1995 to March of 2007. A Granger causality test was applied to the two return series for each of the sampled companies. The results of the causality tests suggested that there is weak evidence that accounting returns lead stock market returns rather than the reverse.

scholarly journals Liquidity – Profitability Relationship Analysed with the Granger Causality Test on the Example of the Warsaw Stock Exchange

2020 ◽  
Vol 54 (2) ◽  
pp. 89
Author(s):  
Anna Pluskota ◽  
Monika Bolek ◽  
Rafał Wolski
Keyword(s):  
Granger Causality ◽  
Mutual Influence ◽  
Stock Exchange ◽  
Granger Causality Test ◽  
Theoretical Background ◽  
Causality Test ◽  
Stage Of Development ◽  
Warsaw Stock Exchange ◽  
Financial Liquidity ◽  
Alternative Markets

<p>Theoretical background: The liquidity – profitability relationship is widely analysed in the literature. The surveys are based on different ratios, and different results as far as the sign of this relationship is concerned. The theory says that liquidity affects profitability but there are some findings suggesting that this relationship is reversed, namely profitability affects liquidity.</p><p>Purpose of the article: The purpose of this paper is to compare the main and alternative markets of the Warsaw Stock Exchange according to the mutual influence of financial liquidity and profitability. The companies listed on those two markets are in a different stage of development and it is expected that the direction of the mutual impact of liquidity and profitability will be opposite.</p><p>Research methods: The Granger causality test is applied for the data representing the financial liquidity and profitability ratios.</p><p>Main findings: It was found that the mutual impact of liquidity and profitability is not opposite and profitability has a greater influence on financial liquidity in case of both markets which means that although the companies listed on the main and alternative WSE markets differ with regard to the stage of development, their management goals are the same.</p>

scholarly journals Sectoral Integration and Domestic Portfolio Diversification in the Karachi Stock Exchange

2017 ◽  
Vol 5 (2) ◽  
pp. 23-44
Author(s):  
Awais Awais Ahmed ◽  
Muhammad Nasir Malik ◽  
Obaid Anwar Awan ◽  
Asif Muzaffar
Keyword(s):  
Granger Causality ◽  
Institutional Investors ◽  
Stock Price ◽  
Oil And Gas ◽  
Stock Exchange ◽  
Market Value ◽  
Granger Causality Test ◽  
Portfolio Diversification ◽  
Causality Test ◽  
Weighted Index

This study analyzes sectoral integration among the top ten sectors listed on the Karachi Stock Exchange (KSE), using a market value-weighted index and daily stock price data for 2001–14. Since the literature shows that domestically diversified portfolios outperform globally diversified ones, the study’s results have implications for the construction of well-diversified domestic portfolios among individual and institutional investors. We find that, apart from automobiles and cement, all other sectors listed on the KSE provide good diversification opportunities. The Granger causality test shows that cement, chemicals and banking cause most other sectors uni-directionally, while oil and gas, biotechnology and pharmaceuticals, textiles, and electricity are caused by most other sectors. From a domestic investor’s perspective, the KSE provides reasonable diversification opportunities across different sectors.

scholarly journals Relationship Between Spot Prices and Futures Prices: Evidence From Karachi Stock Exchange

2021 ◽  
Vol 5 (2) ◽  
pp. 109-123
Author(s):  
Muhammad Asif Ali ◽  
Muhammad Asif Ali ◽  
Dr. Naveed Hussain Shah
Keyword(s):  
Granger Causality ◽  
Stock Exchange ◽  
Granger Causality Test ◽  
Spot Market ◽  
Futures Market ◽  
Futures Prices ◽  
Causality Test ◽  
Spot Prices ◽  
Unit Root Testing ◽  
Integration Test

This study investigates the relationship between futures prices and their underlying spot prices of the stocks trading on Pakistan stock market. Data on the monthly closing prices of future contracts and their underlying stocks of 30 companies for the period January 2004 to June 2014 have been taken for analysis. Descriptive statistics, Augmented Dicky Fuller test for unit root testing, Johnson Co-integration test, Granger causality test and Vector Error Correction Model are used. The results confirms significant long term relationship between futures prices and the associated Spot prices in case of 26 companies. The report of Granger causality test indicates that a Bi-directional causality lack to exist in case of each security, VECM shows that Spot prices for current month are effected by previous month prices in case of 7 companies, while futures prices of current month are affected by previous month prices in case of 4 companies. VECM illustrates that the volatility shocks in spot market are less effected by futures market, however the volatility shocks in corresponding futures market were strongly and significantly affected by spot market volatility.

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