Margin trading and spillover effects: Evidence from the Chinese stock markets

Using a sample of Chinese stocks, we demonstrate that liquidity and return in stocks with margin trading can spread to other stocks causing spillover effects. Furthermore, the level of margin interest has a positive relation with the degree of spillover effects from relevant stocks. In addition to the deleverage mechanism which has received support from recent studies, we propose the cross-asset learning behavior in stock markets as a new mechanism to explain such relation. The mediation models suggest that the cross-asset learning mechanism can explain a large proportion of the relation between margin trading and spillover effects in stock markets.     

Systemic risk in global volatility spillover networks: Evidence from option-implied volatility indices

With option-implied volatility indices, we identify networks of global volatility spillovers and examine time-varying systemic risk across global financial markets. The U.S. stock market is the center of the network and plays a dominant role in the spread of volatility spillover to other markets. The global systemic risks have intensified since the Federal Reserve exited from quantitative easing, hiked interest rate, and shrank its balance sheet. We further show that the U.S. monetary tightening is an important catalyst for the intensifying global systemic risk. Our findings highlight the pernicious effects of monetary tightening after an era of cheap money.     

Stock index futures trading and volatility in international equity markets

This article examines stock market volatility before and after the introduction of equity‐index futures trading in twenty‐five countries, using various models that account for asynchronous data, conditional heteroskedasticity, asymmetric volatility responses, and the joint dynamics of each country's index with the world‐market portfolio. We found that futures trading is related to an increase in conditional volatility in the United States and Japan, but in nearly every other country, we found either no significant effect or a volatility‐dampening effect. This result appears to be robust to model specification and is corroborated by further analysis of the relationship between volatility, trading volume, and open interest in stock futures. An increase in conditional covariance between country‐specific and world returns at the time of futures listing is also documented. © 2000 John Wiley & Sons, Inc. Jrl Fut Mark 20:661–685, 2000     

Experience-based corporate corruption and stock market volatility: Evidence from emerging markets

This paper reassesses how “experience-based” corporate corruption affects stock market volatility in 14 emerging markets. We match the World Bank enterprise-level data on bribes with a unique cross-country macroeconomics dataset obtained from the World Bank development indicators. It is found that wider coverage of “realized” corporate corruption in the emerging markets investigated reduces the stock market volatility, attributed to decrease in uncertainty about government policy with regard to the business environment, as implied by the general equilibrium model of Pastor and Veronesi (2012). Overall, our results suggest that stock price volatility decreases as the uncertainty about government policy becomes more predictable, which is consistent with the testable hypotheses of Pastor and Veronesi (2012).     

Does the spillover of China's economic growth exist? Evidence from emerging markets

This paper primarily investigates if China affects emerging markets economies triggered by its rapid economic growth and the trend of economic globalization over the world. Our results indicate that China's economic growth causes a significant spillover effect on the economic performances of emerging markets, varying across the detected structural break in 2006 and the degree of economic globalization between China and 25 emerging economies over the period 2000–2012. The results herein support the formation of an inseparable interdependence between China and those emerging economies.     

Return distributions and volatility forecasting in metal futures markets: Evidence from gold,silver, and copper

The characterization of return distributions and forecast of asset‐price variability play a critical role in the study of financial markets. This study estimates four measures of integrated volatility—daily absolute returns, realized volatility, realized bipower volatility, and integrated volatility via Fourier transformation (IVFT)—for gold, silver, and copper by using high‐frequency data for the period 1999 through 2008. The distributional properties are investigated by applying recently developed jump detection procedures and by constructing financial‐time return series. The predictive ability of a GARCH (1,1) forecasting model that uses various volatility measures is also examined. Three important findings are reported. First, the magnitude of the IVFT volatility estimate is the greatest among the four volatility measures. Second, the return distributions of the three markets are not normal. However, when returns are standardized by IVFT and realized volatility, the corresponding return distributions bear closer resemblance to a normal distribution. Notably, the application of financial‐time sampling technique is helpful in obtaining a normal distribution. Finally, the IVFT and realized volatility proxies produce the smallest forecasting errors, and increasing the time frequency of estimating integrated volatility does not necessarily improve forecast accuracy. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:55–80, 2011     

Informed trading around merger and acquisition announcements: Evidence from the UK equity and options markets

This paper offers new evidence on informed trading around merger and acquisition announcements from the UK equity and options market. The analysis suggests that in about 25–33% of events there is abnormal option trading volume during the month that precedes the announcement. Such evidence is found in both call and put option volumes, is robust to different “estimation” and “event window” lengths, to different sub‐samples, and to liquidity considerations. These results support the argument that informed investors will transact in both the options and the stock market, and are comparable to results reported by the FSA in the cash market. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:703–726, 2011     

Is volatility risk priced in the securities market? Evidence from S&P 500 index options

The authors examine whether volatility risk is a priced risk factor in securities returns. Zero‐beta at‐the‐money straddle returns of the S&P 500 index are used to measure volatility risk. It is demonstrated that volatility risk captures time variation in the stochastic discount factor. The results suggest that straddle returns are important conditioning variables in asset pricing, and investors use straddle returns when forming their expectations about securities returns. One interesting finding is that different classes of firms react differently to volatility risk. For example, small firms and value firms have negative and significant volatility coefficients, whereas big firms and growth firms have positive and significant volatility coefficients during high‐volatility periods, indicating that investors see these latter firms as hedges against volatile states of the economy. Overall, these findings have important implications for portfolio formation, risk management, and hedging strategies. © 2007 Wiley Periodicals, Inc. Jrl Fut Mark 27:617–642, 2007     

Programs trades and trade regulation: An evidence of the Korean securities market

This study addresses the effects of program trade regulation during large market moves. To address this issue, we analyze the effect of sidecars (halts that only affect program trades) on trade imbalance using Korean intraday data. We find that sidecars, as currently designed to halt all program trades, are not effective at controlling trade imbalance around volatile markets. Resolution of trade imbalance is more effective when program trade is unrestricted. Program trade, at least a subset, provides liquidity when it is at a premium. We conclude that current sidecars should be more carefully crafted as some program trades are market stabilizing.     

Night trading and market quality: Evidence from Chinese and US precious metal futures markets

Given a dominant exchange, how should other exchanges set their trading hours? We examine the introduction of a night session by the Shanghai Futures Exchange, allowing trading concurrently with daytime trading at the Commodity Exchange in the United States. After developing hypotheses, results for gold and silver show: trading activity has increased; liquidity in Shanghai has risen and prices are less volatile at market opening; the price discovery share of Chinese gold futures has fallen but this is not a sign of weakening market quality; and volatility spillovers increase bidirectionally. Longer trading hours have decreased market segmentation and increased information flow.     

Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets

This paper investigates the presence of long memory in the eight Central and Eastern European (CEE) countries' stock market, using the ARFIMA, GPH, FIGARCH and HYGARCH models. The data set consists of daily returns, and long memory tests are carried out both for the returns and volatilities of these series. The results of the ARFIMA and GPH models indicate the existence of long memory in five of eight return series. The results also suggest that long memory dynamics in the returns and volatility might be modeled by using the ARFIMA–FIGARCH and ARFIMA–HYGARCH models. The results of these models indicate strong evidence of long memory both in conditional mean and conditional variance. Moreover, the ARFIMA–FIGARCH model provides the better out-of-sample forecast for the sampled stock markets.     

Foreign investment,regulation and price volatility in South-east Asian stock markets

This paper examines the extent to which changes in the openness of three South-east Asian Stock Markets to foreign investors impact on the volatility of prices in those markets. Regulatory authorities have been cautious about the opening up of markets to foreign investors, fearing that increased liberalisation may lead to increased price volatility, which, in turn, may have a detrimental effect on the operation of the market and the wider economy. Using an asymmetric GARCH model, it is shown that while greater liberalisation has changed the nature of price volatility in the markets, there has not been a destabilising impact. Rather, asymmetric responses of volatility to news have reduced post-liberalisation, suggesting that informed traders are playing a greater role in the markets, with the impact of noise traders being reduced.     

Flow toxicity of high-frequency trading and its impact on price volatility: Evidence from the KOSPI 200 futures market

We examine the relation between high-frequency trading, flow toxicity, and short-term volatility during both normal and stressful periods. Using transaction data for the Korea Composite Stock Price Index 200 (KOSPI 200) futures, we find the Volume-Synchronized Probability of Informed Trading (VPIN) useful in measuring flow toxicity as it predicts short-term volatility effectively. We further show that high-frequency trading is negatively related to VPIN and short-term volatility during normal times but has a positive association during stressful periods. Finally, we advocate the use of bulk-volume classification (BVC) by presenting evidence that the initiator identified by BVC trades at more favorable prices than the true trade initiator.     

Mapping the trading behavior of the middle class in emerging markets: Evidence from the Istanbul Stock Exchange

Predicted to grow above 4.9 billion by 2030, with an overall spending capacity of $56 trillion, the rise of the middle class in emerging markets has attracted global practitioner and academic attention. How this new wealth will be invested is a central question; yet our understanding still remains fragmented. Drawing on the literatures of international business, behavioral economics and finance and using high-frequency stock market data, we examine and map the trading behavior of the middle class in Turkey, one of the fastest rising economic powers of the East. We find that middle class traders exhibit discernible differences to professionals, with respect to risk attitudes and stock preferences (e.g. prefer lower-risk, smaller-size and ‘value’ stocks). In addition, while they typically hold small portfolios and tend to realize lower gains than professionals, their role has become considerably influential to the direction of the entire market.     

Price transmission and volatility spillovers in Asian rice markets: Evidence from MGARCH and panel GARCH models

ABSTRACT

This article examines world rice price transmission and volatility spillovers across six major Asian rice markets over the period 2005-13. In addition to the conventional GARCH models, we use a panel GARCH framework to estimate the spillover effects along with the consideration of heterogeneity and interdependence among countries. Empirical results suggest that changes in the world rice price affected not only the price levels of domestic rice markets but also their conditional variances. Moreover, interdependence across rice markets contributed to a strong spillover of a price shock in one country to another within the region.     

Commonality in trading activity and futures‐cash basis: Evidence from the Taiwan futures and stock markets

This study examines commonality in trading activity by various types of institutional investors across futures and stock markets, and the dynamic relationship between the common factors in trading activity and the futures‐cash basis. The empirical results provide evidence of commonality in trading activity by various types of institutional investors across futures and stock markets. Additionally, this study finds that the first principal component of trading activity is most closely related to the futures trading of mutual funds. Moreover, the empirical results indicate that the first principal component of trading activity and mutual funds' futures trading Granger‐cause the futures‐cash basis and vice versa. Finally, the results of the impulse response functions show that the first principal component of trading activity as well as mutual funds' futures trading have a greater impact on the futures‐cash basis than other common factors and other investor types. © 2011 Wiley Periodicals, Inc. Jrl Fut Mark 32:964–994, 2012