DYNAMIC VOLATILITY SPILLOVERS ACROSS THE EXTENDED GREATER CHINA REGION STOCK MARKETS

2021 ◽  
pp. 2150003
Author(s):  
JOHN FRANCIS DIAZ
Keyword(s):  
Financial Market ◽  
Asset Allocation ◽  
Stock Markets ◽  
Management Practices ◽  
Stock Exchange ◽  
Stock Index ◽  
Conditional Correlation ◽  
Minority Shareholders ◽  
Greater China ◽  
China Region

The study investigates volatility transmissions of major financial market indices found in the Extended Greater China Region (EGCR): the Shanghai Stock Exchange Index (SSEI), the Hang Seng Stock Exchange Index (HSEI), the Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX), and the Singapore Stock Exchange Index (STI). This paper utilizes three Multivariate Generalized Autoregressive Conditional Heteroskedasticity (MGARCH) models to determine variance persistence in the EGCR. The MGARCH approach applies the Baba–Engle–Kraft–Kroner (BEKK) model and the dynamic conditional correlation (DCC) and constant conditional correlation (CCC) estimations. This research found that the SSEI consistently has the highest volatility among the stock markets in the EGCR, and this can be explained by the poor acknowledgment of minority shareholders’ rights or having a weak so-called “common-law” regime. The paper also found that volatilities in the EGCR are determined strongly by their own lagged values more than the product of lagged cross-products of shocks. This means that financial market movements in the EGCR are still strongly influenced by internal factors more than the external influences. The paper contributes to the literature by understanding the potential changes in volatility relationships in low- and high-volatility regimes of the EGCR, which can be used to improve risk management practices and asset allocation techniques in the region.

scholarly journals Variance Persistence in the Greater China Region: A Multivariate GARCH Approach

2018 ◽  
Vol 23 (2) ◽  
pp. 49-68
Author(s):  
John Francis Diaz ◽  
Peh Ying Qian ◽  
Genevieve Liao Tan
Keyword(s):  
Stock Returns ◽  
Stock Exchange ◽  
Composite Index ◽  
Cross Product ◽  
Multivariate Garch ◽  
Stock Index ◽  
Conditional Correlation ◽  
Greater China ◽  
Long Run ◽  
China Region

This paper utilizes three Multivariate General Autoregressive Conditional Heteroscedasticity (MGARCH) models to determine variance persistence in the Greater China region from 2009 to 2014. The first approach applies the Baba, Engle, Kraft and Kroner (BEKK) model and shows that the Shanghai Stock Exchange Composite Index (SSEI), Taiwan Capitalization Weighted Stock Index (TAEIX) and the Hang Seng Stock Index (HSEI) stock returns are all functions of their lagged covariances and lagged cross-product innovations. The second MGARCH approach applies two methodologies, namely, dynamic conditional correlation (DCC), and constant conditional correlation (CCC) estimations. The DCC model concludes both short- and long-run persistencies between Taiwan’s TAIEX and Hong Kong’s HSEI. Alternatively, the CCC model confirms the initial findings of the BEKK model, and adds that the relationships among these three strong economies are stable in the long-run. The log-likelihood values determine that the DCC model is better in judging volatility dynamics in the Greater China region, because of economic clauses brought by the Closer Economic Partnership Arrangement (CEPA), the Economic Co-operation Framework Agreement (ECFA) and the Hong Kong - Taiwan Business Cooperation Committee (BCC).

scholarly journals Interdependence and Risk Comparison of Slovak, Hungarian and Polish Stock Markets: Policy and Managerial Implications

2019 ◽  
Vol 69 (2) ◽  
pp. 273-287 ◽  
Author(s):  
Florin Aliu ◽  
Besnik Krasniqi ◽  
Adriana Knapkova ◽  
Fisnik Aliu
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Markets ◽  
Stock Exchange ◽  
Weighted Average ◽  
Stock Index ◽  
Risk Level ◽  
Average Return ◽  
Monetary System ◽  
Managerial Implications

Risk captured through the volatility of stock markets stands as the essential concern for financial investors. The financial crisis of 2008 demonstrated that stock markets are highly integrated. Slovakia, Hungary and Poland went through identical centralist economic arrangement, but nowadays operate under diverse stock markets, monetary system and tax structure. The study aims to measure the risk level of the Slovak Stock Market (SAX index), Budapest Stock Exchange (BUX index) and Poland Stock Market (WIG20 index) based on the portfolio diversification model. Results of the study provide information on the diversification benefits generated when SAX, BUX and WIG20 join their stock markets. The study considers that each stock index represents an independent portfolio. Portfolios are built to stand on the available companies that are listed on each stock index from 2007 till 2017. The results of the study show that BUX generates the lowest risk and highest weighted average return. In contrast, SAX is the riskiest portfolio but generates the lowest weighted average return. The results find that the stock prices of BUX have larger positive correlation than the stock prices of SAX. Moreover, the highest diversification benefits are realized when Portfolio SAX joins Portfolio BUX and the lowest diversification benefits are achieved when SAX joins WIG20.

scholarly journals Impact of macroeconomic factors and political events on the market index returns at Palestine and Amman Stock Markets (2011–2017)

2019 ◽  
Vol 16 (4) ◽  
pp. 156-167
Author(s):  
Mai Jabarin ◽  
Abdulnaser Nour ◽  
Sameh Atout
Keyword(s):  
Stock Markets ◽  
Stock Exchange ◽  
Stock Index ◽  
The Political ◽  
Uncertain Information ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
General Index ◽  
Political Events ◽  
Amman Stock Exchange

This study aims to investigate the effect of macroeconomic factors on Palestine and Amman Stock Exchange returns. Also, the study handles the political events in the area and their impact on Palestine and Amman stock markets returns. This study applied the macro-econometric model based on Arbitrage Pricing Theory. In addition, the most important political events are selected, and their effect was tested using the event study methodology. The results show that the consumer price index, gross domestic product, and exchange rate have a significant impact on stock index returns, but industrial production index and balance of trade have no significant effect. In addition, the results reveal that the political events have a significant effect on Palestine and Amman stock markets returns. For instance, at Palestine Stock Exchange, seven out of eleven events had a significant impact on the Palestinian general index returns. Regarding the Amman Stock Exchange, there were nine out of eleven events, which had a significant impact on the Jordanian general index returns. The main results show that the macroeconomic factors and political events have a significant impact on the Palestine and Amman stock market returns. Both Palestine and Amman Stock Markets are inefficient and the markets do not absorb uncertain information and noisy events.

scholarly journals The Impacts of Interest Rate on Stock Market: Empirical Evidence from Dhaka Stock Exchange

2019 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Gazi Salah Uddin
Keyword(s):  
Interest Rate ◽  
Management Practices ◽  
Stock Exchange ◽  
Empirical Relationship ◽  
Negative Relationship ◽  
Least Square ◽  
Share Price ◽  
Stock Index ◽  
Significant Negative Relationship ◽  
Policy Risk

Stock exchange and interest rate are two crucial factor of economic growth of a country. The impacts of interest rate on stock exchange provide important implications for monitory policy, risk management practices, financial securities valuation and government policy towards financial markets. This study seeks evidence supporting the existence of market efficiency on the Dhaka Stock Exchange (DSE) based on the daily general price index 1994 to 2005 and also shows empirical relationship between stock index and interest rate in Bangladesh based on monthly data from May 1992 to June 2004. Stationary of market return is tested and found DSE Index does not follow random walk model indicate DSE is not efficient in week form. The linear relationship between share price and interest rate, share price and growth of interest rate, growth of share price and interest rate, and growth of share price and growth of interest rate were determined through ordinary least-square (OLS) regression. For all of the cases, included and excluded outlier, it is found that Interest Rate has significant negative relationship with Share Price and Growth of Interest Rate also has significant negative relationship with Growth of Share Price. So if the interest rate is considerably controlled in Bangladesh than it will be the great benefit of Dhaka Stock Exchange through demand pull way of more investor in share market and supply pull way of more extensional investment of companies.

scholarly journals Strong Correlationsof Sharia Market To Conventional Market: Evidence From Indonesia Stock Exchange

2018 ◽  
pp. 87
Author(s):  
Yadi Nurhayadi ◽  
Nuryadi Wijiharjono
Keyword(s):  
Multivariate Analysis ◽  
Interest Rate ◽  
Economic System ◽  
Financial Market ◽  
Stock Exchange ◽  
Composite Index ◽  
Stock Index ◽  
Strong Correlations ◽  
Islamic Economic ◽  
Exchange Data

Significant differences between Islamic Economic System and Conventional Economic System should generate differences between sharia market and conventional market. Conventional market clearly is influenced by interest rate and speculation that is normal in Conventional Economic System. But, interest rate and speculation are prohibited in Islamic Economic System. Sharia market should be free of interest rate and speculation. In fact, by bivariate and multivariate analysis, financial market indicates that there are strong correlations between sharia market and conventional market. This fact is based on research on Indonesia Stock Exchange data from December 2006 to November 2016 (ten years). Sharia market is represented by Jakarta Islamic Index (JII) and Indonesia Sharia Stock Index (ISSI). Both of them have strong and positive correlation with Jakarta Stock Exchange (JSX) Composite Index or with Jakarta Stock Exchange Liquid (LQ45) Index. Jakarta Composite Index and LQ45 are classified as conventional market. These conditions indicate that sharia market goes together with conventional market in the same character. Is sharia market inconsistent with its sharia principles? Why sharia market is not running on the track?

scholarly journals The Impact of Brexit on the Stock Markets of the Greater China Region

2018 ◽  
Vol 6 (2) ◽  
pp. 51 ◽  
Author(s):  
Lucía Morales ◽  
Bernadette Andreosso-O’Callaghan
Keyword(s):  
Stock Markets ◽  
Greater China ◽  
The Impact ◽  
China Region

scholarly journals Relationship between Interest Rate and Stock Price: Empirical Evidence from Developed and Developing Countries

2019 ◽  
Author(s):  
Md. Mahmudul Alam ◽  
Gazi Salah Uddi
Keyword(s):  
Developing Countries ◽  
Interest Rate ◽  
Stock Price ◽  
Management Practices ◽  
Stock Exchange ◽  
Empirical Relationship ◽  
Negative Relationship ◽  
Share Price ◽  
Stock Index ◽  
Significant Negative Relationship

Stock exchange and interest rate are two crucial factors of economic growth of a country. The impacts of interest rate on stock exchange provide important implications for monitory policy, risk management practices, financial securities valuation and government policy towards financial markets. This study seeks evidence supporting the existence of share market efficiency based on the monthly data from January 1988 to March 2003 and also shows empirical relationship between stock index and interest rate for fifteen developed and developing countries- Australia, Bangladesh, Canada, Chile, Colombia, Germany, Italy, Jamaica, Japan, Malaysia, Mexico, Philippine, S. Africa, Spain, and Venezuela. Stationarity of market return is tested and found none of this stock market follows random walk model, means not efficient in weak form. To investigate the reasons of market inefficiency, relationship between share price and interest rate, and changes of share price and changes of interest rate were determined through both time series and panel regressions. For all of the countries it is found that interest rate has significant negative relationship with share price and for six countries it is found that changes of interest rate has significant negative relationship with changes of share price. So, if the interest rate is considerably controlled for these countries, it will be the great benefit of these countries’ stock exchange through demand pull way of more investors in share market, and supply push way of more extensional investment of companies.

scholarly journals Volatility Spillover Effect in Indian Stock Market

2017 ◽  
Vol 5 ◽  
pp. 83-101 ◽  
Author(s):  
Surya Bahadur G. C ◽  
Ranjana Kothari ◽  
Rajesh Kumar Thagurathi
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
Spillover Effect ◽  
Stock Index ◽  
Global Markets ◽  
Series Data ◽  
Volatility Spillover ◽  
Volatility Transmission ◽  
Indian Stock Market

The study aims to empirically examine the transmission of volatility from global stock markets to Indian stock market. The study is based on time series data comprising of daily closing stock market indices from National Stock Exchange (NSE), India and major foreign stock exchange of the three countries one each from America, Europe and Asia making the highest portfolio investment in Indian stock market. The study period covers 11 years from 1st January, 2005 to 31st December, 2015 comprising a total of 2731 observations. The Indian stock index used is CNX Nifty 50 and the foreign indices are S & P 500 from USA, FTSE 100 from UK, and Nikkei 225 from Japan. The results reveal that the Indian stock market return is co-integrated with market returns of US, UK and Japanese stock markets. Therefore, the return and hence volatility of Indian stock market is associated with global markets which depicts that it is getting integrated with global financial markets. The results provide empirical evidence for volatility transmission or volatility spillover in the Indian stock market from global markets. There exists inbound volatility transmission from US market to Indian stock market. The Indian and UK stock market have bi-directional volatility transmission. However, there exists presence of only outbound volatility transmission from Indian stock market to Japanese stock market. The volatility transmission from global markets to India is rapid with the spillover effect existing for up to three days only.Janapriya Journal of Interdisciplinary Studies, Vol. 5 (December 2016), page: 83-101

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