scholarly journals The Linkages among Insurance, Banking Credit and Stock Markets in G7 Countries - Evidences from Long - and Short - run Perspectives -

2016 ◽  
Vol 27 (4) ◽  
pp. 75-130
Author(s):  
Guan-Chun Liu ◽  
Chien-Chiang Lee
Keyword(s):  
Stock Markets ◽  
G7 Countries ◽  
Short Run ◽  
Banking Credit

The Linkage between Chittagong Stock Market and Dhaka Stock Market

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhammad Shahidullah Tasfiq ◽  
◽  
Nasrin Jahan
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Price ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Variance Decomposition ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
Variance Decomposition Analysis

This paper aims at determining the relationship between the two domestic stock markets of Bangladesh – the Chittagong Stock Market (CSE) and the Dhaka Stock Market (DSE). The daily stock price indices that represent the performance of the two stock markets are collected. In order to find out the interdependent relationship, the Engle-Granger Cointegration test, Granger Causality test, Impulse Response Function, and Variance Decomposition Analysis are employed in this paper. The main finding of this study is that both the stock markets are related in the long run. However, there is a one-way short-run effect from the DSE on the CSE market. The CSE market quickly responds to the shock in the DSE market. But, the DSE market is not responsive to the CSE market. The variance decomposition analysis shows that most of the shocks in the CSE market are explained by its own market. On the other hand, a small number of shocks in the DSE market are explained by the CSE market as well as its own market.

COMPARING THE IMPACTS OF OIL PRICE SHOCKS ACROSS STOCK MARKETS

2015 ◽  
Vol 77 (20) ◽  
Author(s):  
Siok Kun Sek ◽  
Zhan Jian Ng ◽  
Wai Mun Har
Keyword(s):  
Stock Returns ◽  
Stock Markets ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Oil Price ◽  
Multivariate Garch ◽  
Oil Price Shocks ◽  
Price Shocks ◽  
Long Run ◽  
Short Run

We conduct empirical analyses on comparing the spillover effects of oil price shocks on the volatility of stock returns between oil importing and oil exporting countries. In particular, we seek to study how the nature of oil price shocks differs due to the oil dependency factor and how the stock markets react to such shocks. Applying the multivariate GARCH-BEKK(1,1) model, our results detect spillover effects between crude oil price and stock returns for all countries. The short run persistencies of shocks are smaller but the persistencies of shocks are very high in the long run. The results hold for both groups of countries. The results imply larger spillover effect from oil price shock into stock market in the oil importing countries.

Dynamic Modeling of Stock Market Interdependencies: An Empirical Investigation of Australia and the Asian NICs

2001 ◽  
Vol 04 (02) ◽  
pp. 235-264 ◽  
Author(s):  
Abul M. M. Masih ◽  
Rumi Masih
Keyword(s):  
Hong Kong ◽  
Stock Prices ◽  
Stock Markets ◽  
The Other ◽  
Substantial Contribution ◽  
Exogenous Shocks ◽  
Leading Role ◽  
Equilibrium Relationship ◽  
Short Run

This article examines the patterns of dynamic linkages among national stock prices of Australia and four Asian NIC stock markets namely, Taiwan, South Korea, Singapore and Hong Kong. By employing recently developed time-series techniques results seem to consistently suggest the relatively leading role of the Hong Kong market in driving fluctuations in the Australian and other NIC stock markets. In other words, given the generality of the techniques employed, Hong Kong showed up consistently as the initial receptor of exogenous shocks to the (long-term) equilibrium relationship whereas the Australian and the other NIC markets, particularly the Singaporean and Taiwanese markets had to bear most of the brunt of the burden of short-run adjustment to re-establish the long term equilibrium. Furthermore, given the dominance of the Hong Kong market in the region, the study also brings to light the substantial contribution of the Australian market in explaining the fluctuations to the other three markets, particularly Singapore and Taiwan. Finally, in comparison to all other NIC markets, Taiwan and Singapore appear as the most endogenous, with the former providing significant evidence of its short-term vulnerability to shocks from the more established market such as Australia.

Intensity of shock transmission amid US-BRICS markets

2015 ◽  
Vol 10 (3) ◽  
pp. 311-328 ◽  
Author(s):  
P. Lakshmi ◽  
S. Visalakshmi ◽  
Kavitha Shanmugam
Keyword(s):  
Stock Market ◽  
Granger Causality ◽  
Stock Markets ◽  
Subprime Mortgage ◽  
Content Type ◽  
Brics Countries ◽  
Long Run ◽  
The Us ◽  
The Usa ◽  
Short Run

Purpose – The purpose of this paper is to analyze the intensity of transmission of shocks from USA to BRICS countries in the long-run and short-run deviations and swiftness of recovery during US subprime mortgage crisis. This analysis enables the authors to explore the evolving patterns of relationships between these markets and examine whether their co-movements altered either in response to international shocks that originated in advanced markets like USA or due to their domestic fluctuations. Design/methodology/approach – Employing data of daily stock market indices (open and close) of BRICS countries for the period January 2, 2001 to May 31, 2012, this paper examines the interactions and characteristics of price movements of BRICS with US market by applying co-integration tests, vector error correction model and Granger causality relationship. The daily stock market indices data are derived from respective stock exchange web sites. Findings – The results exhibit that both long-run co-integration relationships and short-run Granger causality relationships exist between the stock markets of US-BRICS. Furthermore, this nexus is amplified in the short-run during 2007-2009, when the subprime mortgage financial crisis in the USA cropped up. This finding lends support to the prominence of developed (US) market links in the proliferation of persistent co-movements of BRICS stock markets. Research limitations/implications – The findings imply an increasing degree of global market integration due to quick dissemination of global shocks originating from developed market like USA, and swift recovery which can be attributed to the increased resilience, consistent with the moderated level of domestically driven risk in the BRICS markets. In spite of their similarities, long-run and short-run interdependences with the US stock market exhibit differences among the BRICS. This can be attributed to the regional heterogeneity in long-run risk and return co-movements with the USA. Practical implications – Changes from the US index easily affect these stock markets in the short-run, which implies that the US index may act as a leading indicator for investing funds in BRICS markets. Originality/value – This study would enable the authors to understand whether BRICS economies actually remain resilient to adverse developments in USA and could serve as alternative investment destinations for global portfolio diversification.

Relationship between developed, European and South Asian stock markets: a multivariate analysis

2016 ◽  
Vol 5 (3) ◽  
pp. 385-402 ◽  
Author(s):  
Syed Jawad Hussain Shahzad ◽  
Memoona Kanwal ◽  
Tanveer Ahmed ◽  
Mobeen Ur Rehman
Keyword(s):  
South Asian ◽  
Portfolio Management ◽  
Stock Markets ◽  
Content Type ◽  
International Portfolio Diversification ◽  
Long Run ◽  
International Portfolio ◽  
Short Run ◽  
International Investors ◽  
European Stock Markets

Purpose The assessment of interdependence between stock markets is an important aspect of international portfolio management. The purpose of this paper is to examine and highlight the diversification potential of South Asian stock markets vis-à-vis developed and European stock markets. Design/methodology/approach The developed stocks markets include USA and UK, and South Asian stock markets include India, Pakistan and Sri Lanka while DJ STOXX 600 index is used to represent the European stock markets. Monthly data are used to examine long-run relationship through ARDL bound testing approach and estimates are obtained using DLOS. Short-term dynamics are captured through vector error correction-based Granger causality. Findings South Asian stock markets are closely linked with each other; similarly, developed/European markets are interlinked. US stock market not only impacts European stock markets, it also Granger cause South Asian stock markets. The findings suggest increase in comovement of South Asian stock markets with the global markets after financial crises of 2007-2008. Practical implications The diversification benefits of South Asian stock markets for international investors are still evident due to their low relationship (in both long and short run) with developed/European stock markets. Originality/value Given the emergence of South Asian stock markets, new insight on their relationship with developed stock markets can provide interesting findings for international portfolio diversification. The South Asian equity markets are an important source of investment because of their immense growth and weak correlation with international markets.

Financial instability, integration and volatility of emerging South Asian stock markets

2017 ◽  
Vol 6 (2) ◽  
pp. 177-190 ◽  
Author(s):  
Rakesh Kumar ◽  
Raj S. Dhankar
Keyword(s):  
Stock Returns ◽  
South Asian ◽  
Stock Markets ◽  
Equity Markets ◽  
International Market ◽  
Portfolio Diversification ◽  
Financial Instability ◽  
Content Type ◽  
Long Run ◽  
Short Run

Purpose The purpose of this paper is to examine the short- and long-run spillover effect of international financial instability on emerging South Asian stock markets. The paper also investigates the financial integration regionally. Design/methodology/approach Granger causality test is used for short-run causal relations. Since results of preliminary test highlight the significant autocorrelations in stock returns, GARCH class models with extreme shocks in international financial market are utilized to test the long-run spillover impact on stock returns. Findings Results indicate significant short- and long-run spillover impacts of international financial instability on the stock returns. They highlight the significant co-integration of South Asian stock markets with the international market. Significant correlations in stock returns and volatility reveal the degree of regional integration to be high between India, Pakistan and Sri Lanka. Research limitations/implications Business, political and market conditions of South Asian stock markets are fundamentally different from each other. These economies were liberalized at different time, which in turn may affect the degree of integration with international equity markets and regionally alike. Practical implications Financial liberalization has linked the South Asian stock markets to the rest of the world. Stock prices move in the same line with the emergence of global expected and unexpected economic shocks. The benefits that arise from the diversification of funds will be eradicated in the long run. Investors with long investment horizons will not actually benefit from portfolio diversification in South Asian equity markets. The Bangladesh stock market does not respond to volatility in international market in the short run and may be a good destination for short-term investment. Originality/value Pioneer efforts are made by utilizing a novel approach with the use of net volatility change in world financial instability for measuring the short- and long-run impacts. Given the emergence of South Asian stock markets, new insights into their vulnerability to world financial shocks provide interesting findings for portfolio diversification.

scholarly journals AN ANALYSIS OF STOCK MARKET INTEGRATION IN THE ASIAN DEVELOPED AND EMERGING MARKETS

2021 ◽  
Vol 9 (3) ◽  
pp. 1175-1190
Author(s):  
Sadiq Rehman ◽  
Asif Ali Abro ◽  
Ahmed Raza Ul Mustafa ◽  
Najeeb Ullah ◽  
Sanam Wagma Khattak
Keyword(s):  
Stock Market ◽  
Emerging Markets ◽  
Stock Markets ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Short Term ◽  
Emerging Stock Markets ◽  
Long Run ◽  
Integration Test ◽  
Short Run

Purpose of the study: This study investigates Short-run, Long-run, and Casual relationships in the Asian Developed and Emerging stock market indices for the period of 19 years weekly data of stock market indices of Asian Developed and Emerging Markets which are Japan (Nikkei 225), South Korea (KOSPI), Pakistan (KSE 100), China (SSE Composite), Sri Lanka (ASPI), India (BSE 200) and Malaysia (KLSE composite) from January 2001 to December 2019. Methodology: To analyze long-run and short-run relationships among the Asian developed and emerging stock markets, this study practices Descriptive Statistics, Correlation Matrix, Unit Root Test, Johansen Co-Integration Test, Vector Error Correction Model, Granger Causality test, Variance Decomposition and Impulse Response Function (IRF). Main findings: By employing the ADF and P.P. tests, the results specify that the entire variables' data are non-stationary and stationary in exact order, which is 1st difference. The Johnson Co-integration test found one cointegration relationship, where the results are consistent with Granger causality, Variance Decomposition, and Impulse Response Function (IRF). Application of the study: As the current research has focused on finding out the comovements in the Asian developed and emerging markets. So, the applications are that the survey found short-run and long-run relationships in these countries' stock markets. The study's originality: The current study has selected seven Asian developed and emerging stock markets and weekly updated time series data to investigate short-term and long-term linkages. So, this study found long-run comovements in these stock indices, which contributes to the literature. In addition, these stock markets have limited diversification benefits for international investors, while short-term diversification benefits may exist.

scholarly journals The adjustment speeds of short-run real estate investment trust (REIT) and corresponding stock returns in the USA and Australia

2017 ◽  
Vol 14 (3) ◽  
pp. 173-188
Author(s):  
Hao Fang ◽  
Yen-Hsien Lee ◽  
Jen-Sin Lee ◽  
Wei-Jui Chen
Keyword(s):  
Real Estate ◽  
Stock Markets ◽  
The United States ◽  
Stock Index ◽  
Real Estate Investment ◽  
The Us ◽  
Adjustment Speed ◽  
Non Linear ◽  
Short Run ◽  
Return Dynamics

This study first uses the non-linear co-integration with structural breaks by Gregory and Hansen (1996) to examine whether non-linear co-integration exists between real estate investment trusts (REITs) and corresponding stock markets in the United States and Australia. Second, we employ the smooth transition vector-error correction model (STVECM) including the generalized autoregressive conditional heteroskedasticity (GARCH) model to separately explore the adjustment efficiencies of non-linear short-run REIT and corresponding stock return dynamics, as well as respective REIT return dynamics when the long-run disequilibrium occurs. The results show that a structural break co-integration exists between the equity and mortgage REITs and stock markets in the US, between the REITs and stock markets in the Australia and between the REIT markets in both the US and Australia. When there are large positive and negative deviations of STVECM, the adjustment speed of reverting to equilibrium of the S&P 500 index is greater than that of the Mortgage REIT index. However, when there are large positive (negative) deviations of STVECM, the adjustment speed of reverting to equilibrium of the Australian REIT (stock) index is greater, and that of the Australian REIT (US REIT) index is greater. In addition, by using a non-linear Granger causality test by Hiemstra and Jones (1994), we find that credit price effects exist between the US for each type of REIT and stock markets regardless of large positive or negative deviations (or returns) in STVECM (or STVAR). However, there is a feedback effect exists between the REITs and the stock markets in Australia.

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