Volatility Spillovers and Contagion During the Asian Crisis: Evidence from Six Southeast Asian Stock Markets

Using a multivariate generalized autoregressive conditional heteroskedasticity (GARCH-M) model, we investigate volatility spillovers in six Southeast Asian stock markets around the time of the 1997 Asian crisis. We focus on interactions with the U.S. market as a world financial market, and with the Japanese market as a regional financial market. We also use bivariate GARCH-M models to examine the behavior of individual markets and their interactions with other markets in the region. All models lend support to the idea of the "Asian contagion," which started in Thailand and rapidly spread to other markets.     

Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets

This paper tests the hypothesis that stock returns in emerging stock markets adjust asymmetrically to past information. The evidence suggests that both the conditional mean and the conditional variance respond asymmetrically to past information. In agreement with studies dealing with developed stock markets, the conditional variance is an asymmetrical function of past innovations, rising proportionately more during market declines. More importantly, the conditional mean is also an asymmetrical function of past returns. Specifically, positive past returns are more persistent than negative past returns of an equal magnitude. This behaviour is consistent with an asymmetric partial adjustment price model where news suggesting overpricing (negative returns) are incorporated faster into current prices than news suggesting underpricing (positive returns). Furthermore, the asymmetric adjustment of prices to past information could be partially responsible for the asymmetries in the conditional variance if the degree of adjustment and the level of volatility are positively related.     

An Empirical Study of Volatility in Seven Southeast Asian Stock Markets Using ARV Models

This paper investigates the volatility persistence, volatility variability from day to day and transmission of volatility in seven Southeast Asian stock markets from 1980 to 1991 using the ARV approach. We found strong evidence that shocks to volatility are persistent in Taiwan. Moreover, the Stock Exchange of Thailand Daily Index has the strongest interday volatility fluctuation. Instantaneous causality of volatility among six of the seven markets (except Seoul) was discovered. Besides, there is significant volatility spillover effect from Hong Kong to Taiwan, Malaysia to Singapore and Singapore to Malaysia in the period 1980 to 1991.     

人民币汇率波动与中国股票价格报酬之间的相关性——基于2005年至2007年的实证分析

本文以2005年7月21日至2007年9月18日的中国股价与人民币兑美元的名义汇率数据,利用GARCH模型来探讨在这段时间内人民币汇率波动对中国股票价格报酬的影响。实证结果得知,在这段时间内人民币兑美元名义汇率波动是负向影响中国股票价格报酬的,也符合有价证券余额理论的主张;汇率市场对股票市场的影响在宏观决策中应予以高度重视。     

Stock Returns Under High Inflation and Interest Rates: Evidence from the Brazilian Market

We analyze the relationship of high inflation and interest rates with stock returns in Brazil from May 1986 to May 2011, during which Brazil experienced subperiods of both high inflation (May 1986-June 1994) and relative monetary stability (July 1994-May 2011). The result in the total period is dominated by high inflation volatility, and the findings suggest a bidirectional relationship between stock returns and inflation. During the high-inflation subperiod, interest rates are relevant to explain future changes in inflation and stock returns. Under low inflation, movements in interest rates are better anticipated by equity investors, suggesting higher market efficiency than in high-inflation circumstances.     

Regulation Change and Volatility Spillovers: Evidence from China's Stock Markets

This paper investigates the structural changes of volatility spillovers between Chinese A-share and B-share markets induced by a regulation change on February 19, 2001, that allowed Chinese domestic investors to trade in the B-share market. The empirical results of the study, using high-frequency intraday data collected from a sample of seventy-eight firms issuing both A-shares and B-shares and employing a bivariate generalized autoregressive conditional heteroskedasticity (GARCH) model, show that after the regulation change, the volatility in A-shares increases the volatility in B-shares, thus increasing the risk of the whole market, whereas the latter reduces the former, thus reducing the risk of the whole market. A further investigation of the determinants influencing these structural changes shows that the following factors can encourage structural changes that reduce overall market risk: government ownership, institutional ownership, firm size, B-share proportion, and market-to-book ratio. Conversely, the following factors can encourage structural changes that increase overall market risk: dual roles of chief executive officer and chairman and the joint effect of firm size and B-share proportion.     

Transmission of Stock Returns and Volatility between the U.S. and Japan: Evidence from the Stock Index Futures Markets

In this paper, we examine the nature of transmission of stock returns and volatility between the U.S. and Japanese stock markets using futures prices on the S&P 500 and Nikkei 225 stock indexes. We use stock index futures prices to mitigate the stale quote problem found in the spot index prices and to obtain more robust results. By employing a two-step GARCH approach, we find that there are unidirectional contemporaneous return and volatility spillovers from the U.S. to Japan. Furthermore, the U.S.'s influence on Japan in returns is approximately four times as large as the other way around. Finally, our results show no significant lagged spillover effects in both returns and volatility from the Osaka market to the Chicago market, while a significant lagged volatility spillover is observed from the U.S. to Japan. This revised version was published online in August 2006 with corrections to the Cover Date.     

Volatility Spillover Effects in Interregional Equity Markets: Empirical Evidence from Brazil and Turkey

We investigate volatility spillovers between two stock markets: Turkey and Brazil. Using a misspecification-robust causality-in-variance test, we find evidence supporting volatility spillovers from the São Paulo Stock Exchange to the Istanbul Stock Exchange. Moreover, the results imply that financial crises may change the nature of volatility spillovers between the two markets by adding an additional channel of volatility transmission from Turkey to Brazil.     

Volatility Spillovers Between Stock Returns and Exchange Rate Changes: International Evidence

We investigate interdependencies between stock returns and exchange rate changes for six industrialised countries, namely the US, the UK, Japan, Germany, France and Canada, by testing for volatility spillovers using a bivariate EGARCH model. Volatility spillovers from stock returns to exchange rate changes are found for all countries except Germany. These spillovers are symmetric in nature. No evidence is found of volatility spillovers from exchange rate changes to stock returns for any country. Spillovers from stock returns to exchange rate changes have increased since October 1987. This finding is consistent with the notion that international financial markets have become increasingly integrated.