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Price and Volatility Spillovers Across North American, European and Asian Stock Markets

Price and Volatility Spillovers Across North American, European and Asian Stock Markets
Author: Priyanka Singh
Publisher:
Total Pages: 43
Release: 2010
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ISBN:
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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.

Stock Market Volatility

Stock Market Volatility
Author: Gamini Premaratne
Publisher:
Total Pages: 0
Release: 2003
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An understanding of volatility in stock markets is important for determining the cost of capital and for assessing investment and leverage decisions as volatility is synonymous with risk. Substantial changes in volatility of financial markets are capable of having significant negative effects on risk averse investors. Using daily returns from 1992 to 2002, we investigate volatility co-movement between the Singapore stock market and the markets of US, UK, Hong Kong and Japan. In order to gauge volatility comovement, we employ econometric models of (i) Univariate GARCH, (ii) Vector Autoregression and (iii) a Multivariate and Asymmetric Multivariate GARCH model with GJR extensions. The empirical results indicate that there is a high degree of volatility co-movement between Singapore stock market and that of Hong Kong, US, Japan and UK (in that order). Results support small but significant volatility spillover from Singapore into Hong Kong, Japan and US markets despite the latter three being dominant markets. Most of the previous research concludes that spillover effects are significant only from the dominant market to the smaller market and that the volatility spillover effects are unidirectional. Our study evinces that it is plausible for volatility to spill over from the smaller market to the dominant market. At a substantive level, studies on volatility co-movement and spillover provide useful information for risk analysis.

Volatility Spillovers Among the U.S. and Asian Stock Markets

Volatility Spillovers Among the U.S. and Asian Stock Markets
Author: Li Yang
Publisher:
Total Pages: 36
Release: 2013
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ISBN:
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This paper examines the changing nature of volatility spillovers among the U.S. and eight East Asian stock markets between two financial crises: the Asian currency crisis and the U.S. subprime credit crisis. Our empirical results suggest that volatility is not always spilled over from directly affected markets to surrounding markets in crisis periods. The East Asian markets who directly suffered from the Asian currency crisis are the ones to which volatility is spilled over from other markets during the Asian currency crisis period, whereas unidirectional volatility spillovers from the U.S. market to other markets are observed during both crisis periods. This difference can be explained by a predetermined hierarchy in which volatility spillovers tend to start from the U.S. market regardless of the geographical origin of the crisis. Furthermore, our results reveal that the markets in three major Asian financial hubs, i.e., Japan, Hong Kong and Singapore, are the markets to which volatility is spilled over unidirectionally from several other countries during the subprime credit crisis period, whereas it is not true during the Asian currency crisis period. We attribute this difference to crisis-specific (currency or credit crisis), market-specific (credit derivatives market participation and foreign currency reserves), and time-specific (more integrated global market) factor.

Volatility Spillovers and Contagion from Mature to Emerging Stock Markets

Volatility Spillovers and Contagion from Mature to Emerging Stock Markets
Author: John Beirne
Publisher:
Total Pages: 42
Release: 2009
Genre: Stock exchanges
ISBN:
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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.

Return and Volatility Spillovers Among Asian Stock Markets

Return and Volatility Spillovers Among Asian Stock Markets
Author: Prashant Mahesh Joshi
Publisher:
Total Pages: 8
Release: 2018
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The study examines the return and volatility spillover among Asian stock markets in India, Hong Kong, Japan, China, Jakarta, and Korea using a six-variable asymmetric generalized autoregressive conditional heteroscedasticity-Baba, Engle, Kraft, and Kroner (GARCH-BEKK) model during February 2, 2007, to February 29, 2010. The author finds evidence of bidirectional return, shock, and volatility spillover among most of the stock markets. The magnitude of volatility linkages is low indicating weak integration of Asian stock markets. The study finds that own volatility spillover is higher than cross-market spillover. The overall persistence of stock market volatility is highest for Japan (0.931) and lowest for China (0.824). The implication of weak integration is that investors will benefit from reduction of diversifiable risk.

Asian Flu or Wall Street Virus? Price and Volatility Spillovers of the Tech and Non-Tech Sectors in the United States and Asia

Asian Flu or Wall Street Virus? Price and Volatility Spillovers of the Tech and Non-Tech Sectors in the United States and Asia
Author: Jorge A. Chan-Lau
Publisher:
Total Pages: 30
Release: 2006
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ISBN:
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This paper, using T-GARCH models, finds that the United States has been the major source of price and volatility spillovers to stock markets in the Asian region during three different periods in the last decade: the pre-Long Term Capital Management crisis period the tech bubble period, and the stock market correction period. Hong Kong SAR, Japan, and Singapore also were important spillover sources within the Asian region and affected United States to a lesser degree during the stock market correction period. There is also evidence of structural breaks in the stock price and volatility dynamics induced during the tech bubble period.

Volatility Spillover Among Stock Markets in Six Asian Countries and the United States

Volatility Spillover Among Stock Markets in Six Asian Countries and the United States
Author: Sang Jin Lee
Publisher:
Total Pages: 22
Release: 2009
Genre:
ISBN:
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This article examines the volatility spillover effects among six Asian country stock markets and the United States. The six Asian countries are India, Hong Kong, South Korea, Japan, Singapore, and Taiwan. This article also investigates whether the volatility spillover effect increased after the 1997 Asian financial crisis. There are statistically significant volatility spillover effects within the stock markets of these countries and that effect dramatically increased after the 1997 Asian financial crisis. Especially, the regionally close five countries Hong Kong, South Korea, Japan, Singapore, and Taiwan experienced more links among them.

Mean and Volatility Spillover Effects in the U.S. and Pacific-Basin Stock Markets

Mean and Volatility Spillover Effects in the U.S. and Pacific-Basin Stock Markets
Author: Y. Angela Liu
Publisher:
Total Pages: 16
Release: 2016
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ISBN:
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This paper investigates the mean return and volatility spillover effects from the U.S. and Japan to four Asian stock markets, including Hong Kong, Singapore, Taiwan, and Thailand. The empirical results from examining the data for the period of 1984 to 1991 suggest that the U.S. market is more influential than the Japanese market in transmitting returns and volatilities to the four Asian markets. In addition, the observed spillover effects are unstable over time in the sense that the spillovers increase substantially after the October 1987 stock market crash. Furthermore, the evidence indicates that while the cross-country stock investing hypothesis cannot by itself explain the international transmissions of return and volatility, the market contagion also plays an important role in the transmission mechanism.

Volatility Spillover Between the US, Chinese and Australian Stock Markets

Volatility Spillover Between the US, Chinese and Australian Stock Markets
Author: Emawtee Bissoondoyal-Bheenick
Publisher:
Total Pages: 36
Release: 2017
Genre:
ISBN:
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We assess the stock market volatility spillover between three closely related countries, United States, China and Australia. This study considers industry data and hence provides a clear idea of the channels through which volatility is transmitted across these countries. We find that there is significant bilateral causality between the countries at the market index level and across most of the industries for the full sample period from July 2007 to May 2016. There is one way volatility spillover from US to China in the financial services, industrials, consumer discretionary and utilities industry. There is insignificant volatility spillover from the Australian to Chinese stock markets in financial services, telecommunications and energy industries. Once we remove the effect of the GFC, we find significant bilateral relationship across all of the industries across the three countries.

Return and Volatility Spillovers Among the East Asian Equity Markets

Return and Volatility Spillovers Among the East Asian Equity Markets
Author: Kamil Yılmaz
Publisher:
Total Pages:
Release: 2009
Genre:
ISBN:
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This article examines the extent of contagion and interdependence across the East Asian equity markets since early 1990s and compares the ongoing crisis with earlier episodes. Using the forecast error variance decomposition from a vector autoregression, we derive return and volatility spillover indices over the rolling sub-sample windows. We show that there is substantial difference between the behavior of the East Asian return and volatility spillover indices over time. While the return spillover index reveals increased integration among the East Asian equity markets, the volatility spillover index experiences significant bursts during major market crises, including the East Asian crisis. The fact that both return and volatility spillover indices reached their respective peaks during the current global financial crisis attests to the severity of the current episode. -- Stock returns ; Volatility ; Spillovers ; Vector autoregression ; Variance decomposition