scholarly journals Integration of Stock Markets between Indonesia and Its Major Trading Partners

2009 ◽  
Vol 11 (2) ◽  
pp. 229 ◽  
Author(s):  
Bakri Abdul Karim ◽  
M. Shabri Abdul Majid ◽  
Samsul Ariffin Abdul Karim

Using Autoregressive Distributed Lag (ARDL) and Vector Autoregressive (VAR) frameworks, this study examines the integration between the emerging stock market of Indonesia and its major trading partners (i.e., Japan, the U.S., Singapore, and China). During the period of July 1998 to December 2007, the Indonesian stock market is found to be integrated with its major trading partners. Thus, this implies that there is a limited room available for investors to gain risk-reduction benefits through diversifying their portfolio in those markets. Meanwhile, in the short run, the Indonesian market responds more to shocks in the U.S. and Singapore than in Japan and China. In designing policies pertaining to its stock market, the Indonesian government should take into account any development in the stock markets of its major trading partners, particularly the U.S. and Singaporean markets.

Author(s):  
Ecenur Ugurlu Yildirim

Although the significance of the foreign investors constructing the significant magnitude of GDP increases for the emerging markets, their equity markets' attractiveness is affected by their vulnerability to geopolitical risk. The purpose of this study is to empirically investigate the effect of the stock market globalization on the correlation between economic growth and geopolitical risk in Brazil. After the dynamic correlation between economic growth and the geopolitical risk in Brazil is obtained by DCC-GARCH(1,1) methodology, the nonlinear autoregressive distributed lag (NARDL) model is employed to examine the asymmetric relationship among variables. The findings demonstrate while the changes in the globalization of the stock market decrease the connection between economic growth and geopolitical risk in the long-run, the positive changes in the participation of foreign investors make economic growth and geopolitical risk more connected the in short-run. Moreover, this impact is asymmetric. This chapter provides valuable implications for international investors and policymakers.


2020 ◽  
Vol 12 (1) ◽  
pp. 178
Author(s):  
Le Thi Minh Huong ◽  
Phan Minh Trung

This study aimed to determine the impact of domestic gold prices, interest rates in the stock market index (VNI) in Vietnam for the period of January 2009 to December 2018. This study employed the Autoregressive Distributed Lag (ARDL) to check the association of Independent variable gold prices and the interest rate on the dependent variable stock market index. The results show a close correlation together in the long-run. The Vietnam stock index is adversely affected by fluctuations in the credit market in the short-run. We observed that domestic gold prices and interest rates have one-way causal relations to the stock price index. Similarly, interest rates were causal for gold prices and still not yet had any particular direction. The adjustment in the short-run moves the long-run equilibrium, although the change is quite slow.


2017 ◽  
Vol 20 (2) ◽  
pp. 127-165
Author(s):  
Mohsen Bahmani-Oskooee ◽  
◽  
Seyed Hesam Ghodsi ◽  

When U.S. house prices were rising before the financial crisis of 2008, Case and Shiller (2003) argue that "income growth alone explains the pattern of recent home price increases in most states¨. Then can the decline in income after 2008 explain for the burst and abnormal decrease in house prices? Alternatively we ask whether the effects of income on house prices are symmetric or asymmetric. We employ quarterly data from each of the states in the U.S. and nonlinear autoregressive distributed lag modelling approach of Shin et al. (2014) to show that indeed, household income changes do have asymmetric effects on house prices in most of the states in the U.S. While adjustment asymmetry is borne out by the results in all states, asymmetric short-run impact is evidenced in 18 states and significant asymmetric long-run impact in 21 states.


2019 ◽  
Vol 11 (5(J)) ◽  
pp. 45-53
Author(s):  
Anthony Olugbenga Adaramola ◽  
Modupe F. Popoola

We examined the long and short run association subsisting between stock market development(market capitalisation, value of transactions, number of deal and all share index), and Nigerian economicgrowth (RGDP) with quarterly data from 1986 to 2017. The Autoregressive Distributed Lag (ARDL) model isapplied for the purpose of estimation. The ARDL bound test result revealed that all the indicators of marketdevelopment exert positive effect on the RGDP in the short run. Further, all the indicators except number ofdeals, have direct and significant relationship with economic growth. Moreover, we find that marketdevelopment causes economic growth. Consequently, we recommend a need for the implementation ofpolicies and procedures capable of enhancing investors’ confidence and boosting market because of theirperceived multiplier impacts on economic growth. Effort should also be focused on the enhancement of stockmarket size which in turn will provide the needed fund for investment and thus resulting in rise in the RGDP.


2021 ◽  
Vol 2 (1) ◽  
pp. 56
Author(s):  
Septiana Indarwati

AbstractThis research attempts to explore to what extent the sensitivity volatility of Islamic stock markets in Indonesia toward macroeconomics. The writer examines inflation, exchange rates, money supply (JUB), interest rates (BIRATE), and Industrial Production Index (IPI) as part of the macroeconomic variables. Meanwhile, the writer also uses Jakarta Islamic Index (JII) as the measurements for Islamic stock markets. This research uses the calculation of the stock return volatility based on the Generalized Autoregressive Conditional Heteroscedasticity (GARCH (2, 1)) combined with Regressive Distributed Lag (ARDL) analysis. The writer uses monthly data from Indonesia Stock Exchange, starting from January 2006 to December 2019 as part of the data collection. This research found that BIRATE has a negative effect on the conventional stock market while the Islamic stock market has a positive and insignificant effect on the level α = 5%.  It points out the Islamic principles that the interest rate is not a significant variable in explaining the stock market’s volatility. According to the finding of this research, the writer argues that stabilizing interest rates will not significantly impact the volatility of the Islamic stock market.AbstrakPenelitian ini mencoba untuk mengeksplorasi sejauh mana sensitivitas volatilitas pasar saham syariah di Indonesia terkait dengan ekonomi makro. Penulis menggunakan inflasi, nilai tukar rupiah, penawaran uang (JUB), suku bunga (BI rate) dan Indeks Produksi Industri (IPI) sebagai pengukuran dari ekonomi makro. Sementara itu, penulis menggunakan Jakarta Islamic index (JII) sebagai pengukuran pasar saham syariah. Penelitian ini menggunakan perhitungan volatilitas return saham dengan Generalized Autoregressive Conditional Heteroskedasticity (GARCH (2, 1) dikombinasikan dengan Analisis Autoregressive Distributed Lag (ARDL). Pengumpulan data dalam penelitian ini menggunakan data bulanan dari Bursa Efek Indonesia dari bulan Januari 2006 sampai Desember 2019. Penelitian ini menemukan bahwa, variable BI Rate tidak berpengaruh signifikan terhadap pasar saham syariah pada taraf α=5%. Ini menyoroti prinsip-prinsip Islam bahwa tingkat bunga bukanlah variabel yang signifikan dalam menjelaskan volatilitas pasar saham. Menurut temuan pada penelitian ini, penulis memberikan dukungan lebih lanjut bahwa menstabilkan suku bunga tidak akan berdampak signifikan pada volatilitas pasar saham syariah.


2021 ◽  
pp. 097215092098250
Author(s):  
Paritosh Chandra Sinha

What brings the equilibrium consensus in the stock markets? We hypothesize that the markets’ equilibrium consensus depends on the noise of investors’ attention mania (NIAM). We refer to the NIAM as investors’ attention heterogeneity and explore its impacts on the National Stock Exchange (NSE) Nifty and Bombay Stock Exchange (BSE) Sensex stocks market returns. We use the methodology of the autoregressive distributed lag (ARDL) and augmented generalized autoregressiuve conditional heteroskedacity (GARCH)-X model, and we examine if there is the presence of NIAM at online attention searches within and across the attention layers, and within and across the stated two stock markets from 2004 to 2019 for investors’ economic–political attention searches. We have revealed that the impacts of the NIAM on the market returns are diverse in nature at the different attention layers and stock markets as well. Besides the ARCH and GARCH effects, we also document the presence of familiarity bias, attention confidence or confusion, and attention integration in the short run and long run.


2010 ◽  
Vol 27 (1) ◽  
pp. 47-66 ◽  
Author(s):  
Bakri Abdul Karim ◽  
M. Shabri Abd. Majid

PurposeThe purpose of this paper is to re‐examine the stock market integration and short‐run dynamic interactions between the Malaysian stock market and the stock markets of its major trading partners (the USA, Japan, Singapore, China and Thailand).Design/methodology/approachWeekly stock indices spanning from January 1992 to May 2008 is analysed using autoregressive distributed lag (ARDL) bound testing approach and vector autoregression (VAR) framework.FindingsStock markets of Malaysia and its major trading partners are found to be integrated. To some extent, it is found that trade does matter for stock market integration. Additional, geographical proximity and close relationship between the countries further contributes towards a greater integration between them. To move forward to a greater financial integration among these countries, trade liberalisation, including reduction or removal of trade and investment barriers would be necessary.Originality/valueThis paper is among the first attempts to use ARDL and VAR frameworks to examine integration among the stock markets of Malaysia and its major trading partners. The findings of the study would shed some empirical lights for the purpose of policy making.


Author(s):  
Jayen B. Patel

We found that each of the ten emerging stock markets of Asia generated both lower returns and higher risk than the U.S. stock market for the recent nine-year period of the study. Second, we find that the emerging markets of Asia have become more integrated with the U.S. stock market over this period. However, the three South Asian stock markets continue to be fragmented from the U.S. stock market, and therefore these markets appear to present risk reduction opportunities for U.S. investors. Numerous researchers (for example, Lee and Kim (1993-94), Meric and Meric (1998)) report that, in recent years, we have witnessed increased integration of world stock markets, resulting in increased correlations among national stock markets. Additionally, Kim and Haque (2002), and Saunders and Walter (2002) have demonstrated that the emerging markets have become more integrated with the developed markets in recent years, and therefore the emerging markets should no longer be considered a separate asset class. Meric and Meric (1998) find that correlations among national markets actually increased substantially following the October 1987 stock market crash. Lee and Kim (1993-94) report that the correlations between the U.S. stock market and foreign markets generally increase during periods of instability. These findings are troublesome for U.S. investors, as the primary motivation for investing internationally is to reduce risk, especially during periods of high volatility in the domestic stock market. Our findings support the conclusions of prior published reports indicating that, in general, emerging markets have recently become more integrated with the developed markets. However, we feel that some emerging markets may be uniquely different from others, even if, as in our sample, the markets all belong to the same geographical region. For example, the ten countries that are considered the emerging markets of Asia have unique characteristics. These ten nations have heterogeneous characteristics with regard to such attributes as political system, culture, population, and size of the economy. Therefore, these markets should be examined more carefully before concluding that they represent a homogenous group. Recent reports indicate that approximately $20 billion is invested by developed countries in securities issued in underdeveloped countries. It appears that the emerging markets of Asia attract the largest proportion of this investment. Most of these stock markets are extremely small and highly volatile in comparison with the U.S. stock market. However, investment in the stock markets of these countries has increased exponentially in recent years. This is because many believe that investments in these markets provide higher returns, albeit higher risks. Second, emerging stock markets are comparatively less integrated with the U.S. stock market than the developed stock markets are, and therefore provide greater opportunities for risk reduction by means of international diversification. Our initial objective is to compare the risk and return of the ten emerging stock markets of Asia, and to compare the performance of these markets with that of the U.S. stock market. Second, we compare he level of integration of each emerging market with the U.S. stock market. We are particularly interested in examining the level of integration during the recent period of comparatively poorer performance in the U.S. stock market. We collected monthly returns for all ten emerging stock markets of Asia from the Morgan Stanley Country Indexes (MSCI) web site. Each MSCI is the official price index of the emerging country and is reported in U.S. currency. Specifically, we collected index values for China, India, Indonesia, Korea, Malaysia, Pakistan, Philippines, Taiwan, Thailand and Sri Lanka. U.S. stock market returns for the same period are used for comparison purposes. The returns for all markets are for the nine-year period from January 1993 through December 2001. Therefore our overall sample period consists of 108 months of return observations for each country.


2021 ◽  
Vol 13 (11) ◽  
pp. 6411
Author(s):  
Muhammad Shahid Hassan ◽  
Haider Mahmood ◽  
Muhammad Ibrahim Saeed ◽  
Tarek Tawfik Yousef Alkhateeb ◽  
Noman Arshed ◽  
...  

Institutions help to streamline the economic activity-related procedures, where government intervention might be involved. Institutions also play a significant role in social sustainability. The findings using the Autoregressive Distributed Lag approach to cointegration for the period from 1984–2019 reveal that investment portfolio and democratic accountability reduce poverty in Pakistan both in the long and short run. Moreover, democratic accountability helps to reduce income inequality, but the investment portfolio’s role is not significant. The literacy rate helps to reduce income inequality, and inflation increases poverty and income inequality. The remittances increase income inequality, and urbanization increases poverty. To eradicate poverty and income inequality, the governments should be accountable for their actions to the general public while they remain in power. If they do not deliver as per their manifestoes, they will not be reelected in the next election. Moreover, there is a dire need to redefine the role of an investment portfolio to reduce the risk of investment. So, investments would increase economic activities and could reduce poverty and income inequality. This study contributes to the literature by inquiring about the role of the investment portfolio and democratic accountability in social sustainability by reducing poverty and income inequality. This study only considers Pakistan’s economy due to limitations of poverty data availability in other countries. The scope could further be broadened by accessing data for a wider Asia region to test the role of the investment portfolio and democratic accountability to reduce poverty and income inequality.


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