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.

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 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 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 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 Cointegration of East Asian, Indian and European Markets– A Study of Impact on Indian Bourses

2018 ◽  
Vol 14 (1) ◽  
pp. 3-27
Author(s):  
J K SACHDEVA ◽  
Jyoti Nair
Keyword(s):  
Granger Causality ◽  
Portfolio Management ◽  
Institutional Investors ◽  
Granger Causality Test ◽  
Causality Test ◽  
International Portfolio ◽  
Retail Investors ◽  
Foreign Institutional Investors ◽  
Johansen Cointegration Test ◽  
One Year

With huge investments flowing from all over the world to India, FIIs (Foreign Institutional Investors) and DIIs (Domestic Institutional Investors), retail investors, investment advisors, brokers and portfolio consultants keep abreast with latest research on fundamentals and technicals. Interdependence between stock markets is an important aspect of international portfolio management. In this paper, impact of Asian Indices like Hang Sang, KOSPI, SET SIT and TSEC on opening prices of Indian index Nifty was studied with various tools like Johansen Cointegration Test, VAR Granger Causality and Pairwise Granger Causality test. Similarly impact of European indices like CAC, FTSE, Euronext, DAX and SMI on Nifty closing prices were studied with same tools. The 3 months, 6 months, one year and 5 year data were subjected to experiment whether series are cointegrated. It was observed that series are cointegrated at very short-term level but for longer period they are not cointegrated, however, they influence others. VAR Granger Causality Test and Pairwise Granger Causality reveal that Hang Sang, KOSPI, SIT and TW (TSEC of Taiwan) impact Nifty Open prices. Nifty influences only TW. KOSPI influences Hang Sang and SET. SET influences KOSPI and TW. Similarly, VAR Granger Causality Test and Pairwise Granger Causality also reveal Nifty closing prices influence CAC, DAX, FTSE

scholarly journals Analysing portfolio diversification opportunities in selected stock markets of North and South America and their impact on the textile sector: An empirical case study

2021 ◽  
Vol 72 (04) ◽  
pp. 398-407
Author(s):  
RAMONA BIRAU ◽  
CRISTI SPULBAR ◽  
AJMAL HAMZA ◽  
EJAZ ABDULLAH ◽  
ELENA LOREDANA MINEA ◽  
...  
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
Stock Markets ◽  
Financial Integration ◽  
Stock Exchange ◽  
Portfolio Diversification ◽  
Causality Test ◽  
International Portfolio Diversification ◽  
Integration Test ◽  
Textile Sector

This empirical study investigates the financial integration linkages among the sample stock markets of Canada, Mexico,United States (for both New York Stock Exchange, i.e. NYSE and NASDAQ), Panama, Brazil, Chile, Peru, Venezuela,Jamaica, Trinidad, and Tobago during the period from January 2001 to April 2019. This research study also examinesthe impact of selected stock market dynamics on the textile sector. International portfolio diversification has been animportant subject of research in financial fraternity since the emergence of Modern Portfolio Theory in 1952. This studyexamines the portfolio diversification opportunities in the 11 stock markets of Americas.International diversificationamong stock market indices has proven to be fruitful in the past. Certain tests have been used to determine opportunitiesfor diversification are correlation test, pairwise co-integration test, multiple co-integration test and granger causality test.The empirical results show that stock market indices share low correlation among other and they are not highlyco-integrated whereas results of Granger causality test exhibit an unidirectional relationship among few stock marketsin short run.

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