Idiosyncratic volatility and cross‐sectional stock returns in Southeast Asian stock markets

We examine the role of idiosyncratic risk in five ASEAN markets of Malaysia, Singapore, Thailand, Indonesia, and the Philippines. Our research was motivated by the findings of Ang et al. (2006, 2009) of a ‘puzzling’ negative relation between idiosyncratic volatility and 1‐month ahead stock returns in developed markets and the suggestion of the ubiquity of these results in other markets. In contrast, we find no evidence of an idiosyncratic volatility puzzle in these Asian stock markets; instead, we document a positive relationship between idiosyncratic volatility and returns in Malaysia, Singapore, Thailand, and Indonesia and no relationship in the Philippines. The idiosyncratic volatility trading strategy could result in significant trading profits in Malaysia, Singapore, Thailand, and to some extent in Indonesia. Our study underscores the fact that generalizing empirical results obtained in developed stock markets to new and emerging markets could potentially be misleading.     

The bivariate GARCH approach to investigating the relation between stock returns,trading volume,and return volatility

We use a bivariate GJR-GARCH model to investigate simultaneously the contemporaneous and causal relations between trading volume and stock returns and the causal relation between trading volume and return volatility in a one-step estimation procedure, which leads to the more efficient estimates and is more consistent with finance theory. We apply our approach to ten Asian stock markets: Hong Kong, Japan, Korea, Singapore, Taiwan, China, Indonesia, Malaysia, the Philippines, and Thailand. Our major findings are as follows. First, the contemporaneous relation between stock returns and trading volume and the causal relation from stock returns and trading volume are significant and robust across all sample stock markets. Second, there is a positive bi-directional causality between stock returns and trading volume in Taiwan and China and that between trading volume and return volatility in Japan, Korea, Singapore, and Taiwan. Third, there exists a positive contemporaneous relation between trading volume and return volatility in Hong Kong, Korea, Singapore, China, Indonesia, and Thailand, but a negative one in Japan and Taiwan. Fourth, we find a significant asymmetric effect on return and volume volatilities in all sample countries and in Korea and Thailand, respectively.     

Causal and Dynamic Relationships among Stock Returns,Return Volatility and Trading Volume: Evidence from Emerging markets in South-East Asia

This paper examines the causal and dynamic relationships among stock returns, return volatility and trading volume for five emerging markets in South-East Asia—Indonesia, Malaysia, Philippines, Singapore and Thailand. We find strong evidence of asymmetry in the relationship between the stock returns and trading volume; returns are important in predicting their future dynamics as well as those of the trading volume, but trading volume has a very limited impact on the future dynamics of stock returns. However, the trading volume of some markets seems to contain information that is useful in predicting future dynamics of return volatility.     

Common stochastic trends and volatility in Asian-Pacific equity markets

This paper uses Johansen's cointegration test and a modified cointegration test with generalized autoregressive conditional heteroskedasticity (GARCH) effects to examine linkages between the U.S. and five Asian-Pacific stock markets (Australia, Hong Kong, Japan, Malaysia, and Singapore) during the period from 1988 to 1994. The modified cointegration test with GARCH effects is used to assess whether these stock price series share common time-varying volatility. The results indicate that the six stock markets are highly integrated through the second moments of stock returns but not the first moments.     

Looking for risk premium and contagion in Asia-Pacific foreign exchange markets

This article tests pure contagion effects among four Asian foreign exchange markets, namely, Japan, Hong Kong, Singapore, and Taiwan during the 1997 Asian crisis. A conditional version of international capital asset pricing model (ICAPM) in the absence of purchasing power parity (PPP) is used to control for economic fundamentals or systematic risks. The empirical results show strong contagion effects in both conditional means and volatilities of those markets after systematic risks have been accounted for. Specifically, the contagion-in-mean effects are mainly driven by the past return shocks in Hong Kong, Singapore, and Taiwan. As for contagion in volatility, the lead/lag relationships appear to be multidirectional among Japan, Singapore, and Taiwan, but between Hong Kong and Singapore, and between Hong Kong and Taiwan, they are unidirectional, with Hong Kong playing the dominant role in generating negative volatility shocks. In addition, the conditional ICAPM with asymmetric multivariate general autoregressive conditional heteroscedastic in mean (MGARCH(1,1)-M) structure is able to explain/predict on average 17.28% of the return variations in those markets. Therefore, this study provide a further evidence that the time-varying risk premium is a very strong candidate in explaining the predictable excess return puzzle [Lewis, K. K. (1994). Puzzles in international financial markets. NBER Working Paper No. 4951] since the risk premia founded in this article are not only statistically significant but also economically significant.     

Information Effects During the U. S. Subprime Crisis

We investigate the impact of the U. S. subprime crisis on the stock markets of the Asia-Pacific countries on various event dates. Using data from Hong Kong, Indonesia, Malaysia, Singapore, and Taiwan, we find that the subprime crisis negatively affects these stock markets and investor behavior, especially in Hong Kong and Taiwan. In addition, the subprime crisis generally works through more financial linkages than trade linkages. However, when the subsamples are classified according to industry, this result exists only for the banking industry, but both financial and trade linkages become important to explain the impact of the crisis on the manufacturing industry.     

Volatility Linkages Among Gold Futures in Emerging Markets

We aim to detect the cross-border volatility linkages among gold futures in emerging markets, which still remain an untapped area. China, India, Japan, Taiwan, Turkey, and U.S. futures markets are included in the sample. The volatility linkage analyses confirm the existence of volatility transmission among the majority of the sample countries’ gold futures. This article carries vital inferences and implications for policy makers and investors. The policy making is particularly important for China, which is a relatively isolated market. From investors’ perspective, the results indicate that the risk diversification and cross-market hedging opportunities in the emerging gold futures markets are quite limited.     

The Impulse of Stock Market Volatility and the Market Crash of October 1987

This paper employs the technique of variance decomposition and impulse response functions to examine the dynamic nature of stock market volatility relationships among six major countries during the pre, around, and post October 1987 crash period. During the period around the crash, the US stock market volatility explains much better the variations of the stock market volatility of Australia, Hong Kong, Japan, Singapore and the UK. Our findings clearly indicate that the crash originated in the US and then spread to other major stock markets.     

Coming of age – a comparative study of emerging foreign exchange markets

We developed a market maturity index as a composite of the relative liquidity index (which was used historically to measure market maturity) and a market sophistication index, constructed by analyzing market volume and transaction data. We also constructed a risk management index using volatility and V2 (volatility of the volatility) to measure ease of risk management. Five (out of 14) emerging markets we studied – India, Brazil, Malaysia, Turkey and Poland – improved their risk management index scores from 2007 to 2009, suggesting increasing maturity. On the other hand, South Africa, Taiwan and South Korea, all markets that had seemed reasonably mature in 2007, performed extremely poorly from a risk management perspective in 2009, suggesting that their original high market maturity index scores were probably not very stable.     

Success Factors of Financial Derivatives Markets in Asia

The objective of this study is to investigate the success factors of financial derivatives markets in Asia. The selected countries include Thailand, Malaysia, Singapore, South Korea, Japan and Hong Kong. The success factors of financial derivatives markets in Asia are examined by employing the panel regression. The empirical results show that size, volatility, and liquidity of spot market are significant factors for the success of financial derivatives markets in sample countries. Further, tick size, contract size, and option-type also enhance trading volumes while product age is not statistically significant. The results from this study provide important implications in developing the financial derivatives market which plays an important role in the capital market.     

Price Linkages in Asian Equity Markets: Evidence Bordering the Asian Economic, Currency and Financial Crises

This paper examines price linkages among Asian equity markets in the period surrounding the recent Asian economic, financial and currency crises. Three developed markets (Hong Kong, Japan and Singapore) and six emerging markets (Indonesia, Korea, Malaysia, the Philippines, Taiwan and Thailand) are included in the analysis. Multivariate cointegration and level VAR procedures are conducted to examine causal relationships among these markets. The results indicate that there is a stationary relationship and significant causal linkages between the Asian equity markets. Nevertheless, lower causal relationships that exist between the developed and emerging equity markets suggest that opportunities for international portfolio diversification in Asian equity markets still exist.     

Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model

This paper investigates the time-series behavior of stock returns for seven Asian stock markets. In most cases, higher average returns appear to be associated with a higher level of volatility. Testing the relationship between stock returns and unexpected volatility, the evidence shows that four out of seven Asian stock markets have significant results. Further analyzing the relationship between stock returns and time-varying volatility by using Threshold Autoregressive GARCH(1,1)-in-mean specification indicates that the null hypothesis of no asymmetric effect on the conditional volatility is rejected for the daily data. However, the null cannot be rejected for the monthly data.     

Are There Any Diversification Benefits Among Global Finance Center Candidates in Eurasia?

Several Eurasian markets are considered as potential global financial centers. The main objective of this article is to evaluate the two strong candidates, Russia and Turkey, based on short- and long-run diversification benefits they provide to global investors along with big four global finance centers (US, UK, Hong Kong, Singapore) in the world. To that respect, we investigate both price spillover and volatility spillover effects among global finance centers and the two strong Eurasian candidates. Our results suggest that Istanbul Stock Exchange (ISE) has more diversification benefits and is more resilient to risk transfers from other markets compared to Moskow Stock Exchange (MSE).     

Volatility,Depth, and Order Composition: Evidence from a Pure Limit Order Futures Market

This paper investigates market behaviors (such as volatility, depth, and volume) and order-flow decomposition in a pure limit order futures market, the Taiwan Futures Exchange. The results are different from those in equity markets due to relatively high adverse selection costs in futures markets. We show that a volatility (depth) increase is followed by a depth (volatility) decrease; a market order increase (decrease) subsequently induces higher (lower) volatility; and a limit order increase (decrease) results in more (less) market orders and limit orders. When the upside (downside) volatility rises, buyers decrease (increase) subsequent limit bid orders, and sellers increase (decrease) limit ask orders.     

The microstructure of Asian equity markets

This study provides an overview of six stock markets in Asia, including Hong Kong, Korea, Malaysia, Singapore, Taiwan, and Thailand. We find that the Asian stock exchanges have adopted numerous new concepts in terms of market structure, trading method, and the clearing and settlement system. As a group, they provide an intersting setting for empirical investigation due to their unique characteristics not found in the stock exchanges in advanced countries.     

Foreign Exchange Market Volatility in Southeast Asia

The time-varying volatility and volatility transmission in Asian foreign exchange markets are investigated in this paper. It has been found that the time-varying volatility and volatility transmission are all prominent in these markets. Moreover, variance simulation is carried out and the structure of covariance matrices examined, revealing the characteristics of Asian foreign exchange markets and offering explanations to the findings.     

Hot Money and Business Cycle Volatility: Evidence from Selected ASEAN Countries

This study investigates the linkage between speculative capital and business cycles in Malaysia, Thailand, and Singapore from 1981:Q1 to 2012:Q4. We use the multivariate Markov-switching intercept autoregressive heteroskedasticity vector autoregressive (MSIAH-VAR) model and observe that while speculative shocks during the tranquil period temporarily promoted Malaysia’s economic growth, they temporarily damaged economic growth in Thailand and Singapore. Moreover, speculative capital flows from abroad exacerbated economic volatility and damaged economic growth prospects for all these countries during the crisis period. Thus, it may be important for policymakers to take appropriate actions against the potential risk of economic instability and market volatility from speculative capital.     

Volatility Spillover in Regional Emerging Stock Markets: A Structural Time-Series Approach

Volatility spillovers among the stock markets of Bahrain, Kuwait, and Saudi Arabia are investigated using the concept of stochastic volatility and structural time-series modeling. The results reveal volatility spillovers, in which the Kuwait market plays the major role. It is also found that volatility in one market cannot be explained fully in terms of volatility in the other two markets, but that, out of the three markets, the Kuwait market seems to be the most influential. Some explanations are put forward for why this is the case.     

Exchange-rate volatility and industry trade between the U.S. and Malaysia

Previous research that investigated the impact of exchange rate volatility on the trade flows of Malaysia concentrated only on the aggregate exports of Malaysia to the rest of the world. In this paper we first concentrate on the trade flows between Malaysia and the U.S. After showing that exchange rate volatility has neither short-run nor long-run effect on the trade flows between the two countries, we disaggregate the trade data by industry and consider the experience of 101 U.S. exporting industries to Malaysia and 17 U.S. importing industries from Malaysia. While exchange rate volatility seems to have significant short-run effects on the trade flows of most industries, short-run effects translate into the long run only in a limited number of small industries.     

Overnight information flow and realized volatility forecasting

This study compares various approaches for incorporating the overnight information flow for forecasting realized volatility of the Australian index ASX 200 and seven very liquid Australian shares from March 2007 to January 2014. The analysis shows that considering overnight information separately rather than adding it to the daily realized volatility estimates leads consistently to better out-of-sample results despite the higher number of involved parameters. A novel, very promising approach is to combine the assets’ own overnight returns with realized volatility estimates of related assets from other markets for which intraday data is available while the Australian exchange is closed.