scholarly journals Global Financial Crisis and Islamic Capital Market Integration among 5-ASEAN Countries

2015 ◽  
Vol 2 (3) ◽  
pp. 207
Author(s):  
Ibnu Qizam ◽  
Abdul Qoyum ◽  
Misnen Ardiansyah

Islamic Capital Market is important part of Financial System in ASEAN countries especially in the context of AEC. The objective of this paper is to investigate interconnection long run equilibrium of Islamic Capital Market in ASEAN Countries. Using daily closing price for from September 2007 to October 2012, this study examine five Islamic Capital markets in ASEAN namely Indonesia, Malaysia, Philippines, Singapore and Thailand. This study examines on Integration among these Islamic Capital markets by relies a simple correlation test, Granger causality test and co-integration test using error correction model. This research documents some interesting finding. First, Using Johansen estimation technique, there is co-integration between the considered Islamic indices namely; Indonesia, Malaysia, Philippines, Singapore and Thailand. Second, Since the co-integration exists, granger causality test shows that there is three bi-directional causalities namely; between Malaysia Islamic Capital Market and Singapore Islamic Capital Market; between Thailand Islamic Capital Market and Singapore Islamic Capital Market; and between Singapore Islamic Capital Market and Philippines Islamic Capital Market. However, there is a unidirectional between Indonesia Islamic Market (MCIINA) and Malaysia Islamic Market (MCIMY), MCIINA and Philippines Islamic Market (MCIPhil), MCIINA and Thailand Islamic Market (MCITHAI), it implies that MCIINA affects MCIMY, MCIPhil, and MCIThai but not vice versa. Third, based on VECM suggest that all Islamic indexes are inter-related in the long run that can be explained due to the similarity of structure bring about by its stock as required by shariah in the process stock screening.

2019 ◽  
Vol 38 (4) ◽  
Author(s):  
V. Mahesh ◽  
R.K. Grover ◽  
R.S. Geetha

The present study aimed to paper the co-integration among the selected cotton markets in Haryana. The monthly data on prices of cotton were collected for the period from 2005-06 to 2016-17. The advanced econometric tools like ADF test, Johansen co-integration test and Granger Causality test were used to study market integration. The price series of commodity namely cotton in selected markets showed the consequences of unit root and were stationary at first difference. The long run equilibrium relationship among the selected markets indicated that these were integrated with each other. This implies that prices in domestic markets of Haryana move together in response to changes in the demand and supply and cost of a product. Granger Causality test resulted Dabwali market as lead cotton market because it influenced the prices of most of selected cotton markets.


2018 ◽  
Vol 22 (2) ◽  
pp. 205 ◽  
Author(s):  
Robiyanto Robiyanto

Financial market integration in Southern Asia especially in ASEAN main member countries still attractive to scrunitized. Most of these countries were devastated during severe regional financial crisis in 1997 but global financial crisis in 2008 have different impact toward these countries. The finding shows that comovement were exist among Indonesia, Malaysia, Singapore and Thailand’s capital market during January 1997 to December 2013 period. Comovement still exist during post Asian financial Crisis 1997 and post global financial crisis 2008 period. This study conclude also that degree of integration between some ASEAN capital markets have fading out after global financial crisis in 2008. Hence, investor could formulate a portfolio which consist of stocks across ASEAN capital markets.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shelly Singhal ◽  
Sangita Choudhary ◽  
Pratap Chandra Biswal

Purpose The purpose of this paper is to examine the long-run association and short-run causality among oil price, exchange rate and stock market in Norwegian context. Design/methodology/approach This work uses auto regressive distributed lag (ARDL) bound co-integration test to examine the long-run association among international crude oil, exchange rate and Norwegian stock market. Further to test the causality, Toda–Yamamoto Granger causality test is used. Daily data ranging from 1 January, 2011 to 31 December, 2018 is used in this study. Findings Findings of this study suggest the existence of long-run equilibrium relationship among oil price, exchange rate and Norwegian stock market when oil price is taken as dependent variable. Further, this study observes the bi-directional causality between Norwegian stock market and exchange rate and unidirectional causality between oil and Norwegian stock market (from oil to stock market). Originality/value To the best of the authors’ knowledge, this the first study in context of Norway to explore the long-run association and causal relationships among international crude oil price, exchange rate and stock market index. Particularly, association of exchange rate and stock market largely remains unexplored for Norwegian economy. Further, majority of studies conducted in Norwegian setup have considered the period up to year 2010 and association of these variables is found to be time varying. Finally, this study uses ARDL bound co-integration test and Toda–Yamamoto Granger causality test. These methodologies have been used in literature in context of other countries like India and Mexico but not yet applied to study the Norwegian case.


2019 ◽  
Vol 8 (3) ◽  
pp. 6774-6779

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.


2019 ◽  
Vol 11 (2(J)) ◽  
pp. 23-29
Author(s):  
Andreas . ◽  
J P S Sheefeni

The paper examined causality between Private Sector Credit Extension (PSCE) and Economic growth using quarterly data for the period 2000:Q1-2017:Q4, in Namibia. The variables employed were Gross Domestic Product (GDP), Private Sector Credit Extended, Broad Money Supply (M2) and lending rates. The study tested for stationarity in order to determine the order of integration. Furthermore, a co-integration test was conducted on different sets of variables to establish the long run relationship. Granger causality test was also conducted to establish the direction of the relationships between the variables. The results for the stationarity test showed a combination of different orders of integration. The co-integration test revealed a stable long-run relationship among the variables. The Granger causality test results revealed one-directional causality running from PSCE to GDP. Therefore, one can conclude that that change in private sector credit extended can help predict economic growth.


2020 ◽  
Vol 30 (3) ◽  
pp. 375-397 ◽  
Author(s):  
Rahul Dhiman ◽  
Vinod Kumar ◽  
Sudhir Rana

Purpose This study aims to examine whether export competitiveness (EC) in the two groups of the Indian textile industry i.e. “textiles” and “textile products” group differ. Design/methodology/approach The study examines how exchange rate (ER), real effective exchange rate (REER) and EC of both the groups are related in the long run over the period 1991-1992 to 2018-2019 using Granger causality test and Johansen and Juselius co-integration test. Findings The study confirms that EC is a challenge that needs to be addressed to sustain in the international market, as the volatile trend can be found for EC in both groups. The econometric framework shedding light on both groups of the textile industry suggest that select determinants have different relationships with the EC for two groups. The findings of the Granger causality test reveal that the presence of unidirectional causality running from ER to EC in the case of both the groups. Also, the select variables are found to be co-integrated in the long run. However, in the case of REER, no causality is found running from REER to EC. Originality/value ER is a vital determinant of EC and exporters can sustain competitiveness in global markets by reducing their profit mark-up in the face of an appreciating currency.


2021 ◽  
Vol 22 (1) ◽  
pp. 121-132
Author(s):  
Ibnu Qizam

This study aims at examining the integration impact of the five ASEAN Islamic capital markets on asymmetric information for ASEAN Economic Community (AEC) development. Utilizing samples of market and financial panel data from 2009 to 2015 among the five ASEAN Islamic capital markets, and applying two-country portfolios of the Islamic capital markets among the five ASEAN countries to measure the different levels of Islamic capital market integration, this study suggests that the different levels of the Islamic capital market integration between Indonesia and Malaysia are found to result in asymmetric information negatively. The strongest Islamic capital market integration between Indonesia and Malaysia affect reduced asymmetric information more consistently than the other two-country portfolios, while the weakest level of integration between the Philippines and any other four Islamic capital markets that affects asymmetric information inconsistently is also supported. These results confirm an interplay between a modern portfolio theory, Efficient Market Hypothesis (EMH), contract theory, and general economic theory, and also provide new insights for stakeholders in investment decisions and strategies, cross-border regulation of economic resources, and other plentiful benefits.


2013 ◽  
Vol 2 (1) ◽  
Author(s):  
Ali Rama

The paper empirically examines the dynamic interaction between Islamic banking development, capital market, trade activities, inflation and economic growth in Indonesia using battery of time series techniques. The study documents a long-run equilibrium between Islamic banking, capital market, trade activities, inflation and economic growth. Granger causality test reveals that there is a bidirectional causality between Islamic banking-growth in Indonesia, the finding accords with “the feedback hypothesis” or bidirectional causality view”. Based on the VDCs, the study discovers that the variations in the economic growth rely very much on its own innovation. The finding also shows that Islamic banking financing innovation significantly explains the variation in economic growth. To further promote contributions of Islamic banking to economic growth, the authority should provide friendly policies to accelerate its development in the countryDOI: 10.15408/sjie.v2i1.2372


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.


Author(s):  
Serdar Ögel ◽  
Fatih Temizel

This chapter examines the relationship between stock market indices of the biggest six economies of the European Union and BIST 100. In this context, this study used the daily time series regarding indices of DAX for Germany, CAC 40 for France, FTSE MIB for Italy, IBEX 35 for Spain, AEX for Holland, FTSE 100 for United Kingdom, and BIST 100 for Turkey from 2014 to 2018. To test whether there is a co-integration relationship among indices, Johansen co-integration test was used. Since a co-integration relationship was not found between series, causality relationship between the European stock market indices and Turkey was tested with Granger causality test by establishing standard VAR model. As a result, a unidirectional Granger causality relationship was found from DAX, FTSE 100, CAC 40, IBEX 35, and AEX to BIST 100 according to lag length 1 and 2. However, a unidirectional Granger causality relationship was only found from FTSE MIB to BIST 100 for lag length 1. For lag length 1 and 2, no causality relationship was found from BIST 100 to the selected European stock market indices.


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