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| Author | : Yanan Li |
| Publisher | : |
| Total Pages | : |
| Release | : 2013 |
| Genre | : |
| ISBN | : |
| Author | : John Beirne |
| Publisher | : |
| Total Pages | : 42 |
| Release | : 2009 |
| Genre | : Stock exchanges |
| ISBN | : |
This paper examines volatility spillovers from mature to emerging stock markets and tests for changes in the transmission mechanism-contagion-during turbulences in mature markets. Tri-variate GARCH-BEKK models of returns in global (mature), regional, and local markets are estimated for 41 emerging market economies (EMEs), with a dummy capturing parameter shifts during turbulent episodes. LR tests suggest that mature markets influence conditional variances in many emerging markets. Moreover, spillover parameters change during turbulent episodes. Conditional variances in most EMEs rise during these episodes, but there is only limited evidence of shifts in conditional correlations between mature and emerging markets.
| Author | : John Beirne |
| Publisher | : INTERNATIONAL MONETARY FUND |
| Total Pages | : 40 |
| Release | : 2008-12-01 |
| Genre | : |
| ISBN | : 9781451871449 |
This paper examines volatility spillovers from mature to emerging stock markets and tests for changes in the transmission mechanism-contagion-during turbulences in mature markets. Tri-variate GARCH-BEKK models of returns in global (mature), regional, and local markets are estimated for 41 emerging market economies (EMEs), with a dummy capturing parameter shifts during turbulent episodes. LR tests suggest that mature markets influence conditional variances in many emerging markets. Moreover, spillover parameters change during turbulent episodes. Conditional variances in most EMEs rise during these episodes, but there is only limited evidence of shifts in conditional correlations between mature and emerging markets.
| Author | : Priyanka Singh |
| Publisher | : |
| Total Pages | : 43 |
| Release | : 2010 |
| Genre | : |
| ISBN | : |
This paper investigates interdependence of fifteen world indices including an Indian market index in terms of return and volatility spillover effect. These markets are that of Canada, China, France, Germany, Hong-Kong, Indonesia, Japan, Korea, Malaysia, Pakistan, Singapore, Taiwan, United Kingdom and United States. Vector autoregressive model (VAR 15) is used to estimate the conditional return spillover among these indices in which all fifteen indices are considered together. The effect of same day return in explaining the return spillover is also modeled using univariate models. Volatility spillover is estimated through AR-GARCH in which residuals from the index return is used as explanatory variable in GARCH equation. Return and volatility spillover between Indian and other markets are modeled through bivariate VAR and multivariate GARCH (BEKK) model respectively. It is found that there is greater regional influence among Asian markets in return and volatility than with European and US. Japanese market, which is first to open, is affected by US and European markets only and affects most of the Asian Markets. Also, high degree of correlation among European indices namely FTSE, CAC and DAX is observed. US market is influenced by both Asian and European markets. Specific to Indian context, it is found that Indian market is not cointegrated with rest of the world except Indonesia. However, strong short run interdependence is found between Indian markets and most of the other markets. Indian and other markets like US, Japan, Korea, and Canada positively affect each others' conditional returns significantly. Indian market also has significant effect on Malaysia, Pakistan, and Singapore return.
| Author | : Hung Ngo |
| Publisher | : |
| Total Pages | : 16 |
| Release | : 2019 |
| Genre | : |
| ISBN | : |
Purpose - This paper aims to study the daily returns and volatility spillover effects in common stock prices between China and four countries in Southeast Asia (Vietnam, Thailand, Singapore and Malaysia).Design/methodology/approach - The analysis uses a vector autoregression with a bivariate GARCHBEKK model to capture return linkage and volatility transmission spanning the period including the pre- and post-2008 Global Financial Crisis.Findings - The main empirical result is that the volatility of the Chinese market has had a significant impact on the other markets in the data sample. For the stock return, linkage between China and other markets seems to be remarkable during and after the Global Financial Crisis. Notably, the findings also indicate that the stock markets are more substantially integrated into the crisis.Practical implications - The results have considerable implications for portfolio managers and institutional investors in the evaluation of investment and asset allocation decisions. The market participants should pay more attention to assess the worth of across linkages among the markets and their volatility transmissions. Additionally, international portfolio managers and hedgers may be better able to understand how the volatility linkage between stock markets interrelated overtime; this situation might provide them benefit in forecasting the behavior of this market by capturing the other market information.Originality/value - This paper would complement the emerging body of existing literature by examining how China stock market impacts on their neighboring countries including Vietnam, Thailand, Singapore and Malaysia. Furthermore, this is the first investigation capturing return linkage and volatility spill over between China market and the four Southeast Asian markets by using bivariate VAR-GARCH-BEKK model. The authors believe that the results of this research's empirical analysis would amplify the systematic understanding of spillover activities between China stock market and other stock markets.
| Author | : Duc Khuong Nguyen |
| Publisher | : |
| Total Pages | : |
| Release | : 2007 |
| Genre | : |
| ISBN | : |
This paper investigates the impact of stock market liberalizations on the volatility of emerging markets and volatility spillover effects between these markets and stock markets of the United Stated and Japan. First, our results reinforce previous findings in that emerging markets tend to generate higher volatility than developed markets. Moreover, some of the sudden changes in emerging market volatility appeared to be often associated with financial liberalizations. However, when we explicitly test the relationships between financial liberalization and volatility using regression analysis, we found conflicting results about the sign of financial liberalization effects. Second, we found that stock volatility is substantially transmitted among sample markets, especially between emerging markets of the same geographical location. It is also demonstrated that the multilateral transmission of volatility only increases slightly after liberalization programs. Finally, it is worth notifying that shocks to volatility in emerging markets, rather than those to volatility in the US and Japanese markets constitute a dominant source of return variability in foreign stock markets.
| Author | : Shah Arjun |
| Publisher | : Arjun Shah |
| Total Pages | : 0 |
| Release | : 2023-02-28 |
| Genre | : Business & Economics |
| ISBN | : 9784939733451 |
Stock markets serve as the economic barometers. The relationship between the two capital markets can be studied as a proxy to understand the relation between the two economies. The movement of stock market not only reflects the nation's economic condition but also the confidence level the domestic and foreign investors have in an economy. The increase in integration between the global economies has resulted in convergence and co movement. The purpose of this study is to examine the presence of volatility and test the uniformity in the extent of volatility, to investigate the possible contagion effect between the selected developed and emerging market, to check for the spillover effect between the Indian stock market and the other five sampled markets and finally inspect the relationship between the volume and volatility in the capital markets of Hong Kong, Japan, Singapore, India, China and Philippines. Stratified- convenience sampling technique is used to pick the samples and daily index values are taken from the major index of these countries for a period of seven years. The time series data were tested for stationarity and normality using ADF, PP tests and Jarque-Bera test. Returns, SD, ARIMA, ARCH, GARCH, BEKK-GARCH, Granger causality test, VAR model and Variance decomposition techniques are used for the analysis.
| Author | : Abdulla Alikhanov |
| Publisher | : LAP Lambert Academic Publishing |
| Total Pages | : 76 |
| Release | : 2013 |
| Genre | : |
| ISBN | : 9783659504761 |
The paper investigates the mean and volatility spillover effects from U.S and EU stock markets as well as oil price market into national stock markets of eight European countries. The study finds strong indication of volatility spillover effects from global US, regional EU, and world factor oil towards individual stock markets.. To evaluate the volatility spillovers, the variance ratios are computed and the results draw to attention that the individual emerging countries' stock returns are mostly influenced by the U.S volatility spillovers rather than the EU or oil markets. The weak evidence of asymmetric effects with respect to oil market shocks is found only in the case of Russia and the quantified variance ratios indicate that presence of oil market shocks are relatively higher for Russia. Moreover, a model with dummy variable confirms the effect of European Union enlargement on stock returns only for Romania. Finally, a conditional model suggests that the spillover effects are partially explained by instrumental macroeconomic variables, out of which exchange rate fluctuations play a key role in explaining the spillover parameters.
| Author | : Sang Hoon Kang |
| Publisher | : |
| Total Pages | : 26 |
| Release | : 2013 |
| Genre | : |
| ISBN | : |
This study investigates the effects of volatility spillovers among five Asian stock markets (China, Hong Kong, Korea, Singapore, and Taiwan) and examines how the global financial crisis of 2008 has influenced volatility transmission among Asian stock markets. The results from a VAR(1)-bivariate GARCH model indicate strong volatility linkages between the Chinese stock market and the four emerging stock markets since the global financial crisis, suggesting the intensification of stock market integration in Asia since the crisis increases the integration of Chinese stock market in Asia. This strong integration of the markets is important in that the intensified linkages can reduce potential gains from the diversification of international equity portfolios.
| Author | : Rakesh Shahani |
| Publisher | : |
| Total Pages | : 18 |
| Release | : 2020 |
| Genre | : |
| ISBN | : |
The present study makes an attempt to investigate the dynamics of contagion and spillover of volatility amongst stock markets of five economies which include three developed nations; US , UK and Japan and two Asian emerging economies viz. India and China The period of study is eleven years; Jan 1, 2009-Dec 31, 2019 and the data is collected for daily closing prices of the indices. The study makes a distinction between contagion and spillover whereby a shock is considered spillover if its impact is seen with a lag of one period only and no more lags after the shock has occurred, while contagion is a residual transmission after accounting for all other transmissions including spillover(Masson, P. (1998) ; Dungey, M. and Martin, V.L. (2007)) The results of the study revealed that there was substantial contagion and information flows from one market to another , be it developed or emerging . Further although US markets continue to play a major role in deciding the direction of markets, the importance of other markets has increased over the years. Further, US market on its own now appears to look for clues from both developed and emerging markets including India and China. On the other hand , the stock market of UK follows the return movement and volatility mainly from US markets. The two emerging markets of Asia, India and China observe a lot of co-movement in returns with spillovers being linked to the developed markets which includes US as global market and Japan as regional market. The study also tested for pre-conditions of stationarity, autocorrelation and heteroscedasticity and the model was modified wherever necessary in order to make the results of the study robust.
