Turnover and return in global stock markets

I study how growth affects liquidity of global stock exchanges and how liquidity determines cross-sectional returns on those stock exchange index portfolios. I measure portfolio liquidity by turnover ratio computed as value of shares traded over the market capitalization. I obtain data from FIBV, an association of global stock exchanges. In a multiple regression model for turnover ratio, I find age, size, type of exchange, competition for order flow, and growth rate to be significant determinants of portfolio liquidity; however, exchange- and time-specific effects are more appropriate for modeling portfolio liquidity. The time effects yield to three distinct regimes, while the exchange-specific effects are surrogates for the legal systems, English common law, and Civil laws of the countries. I estimate the parameters of a multiple regression model in a two-stage GLS framework in which index return is a function of turnover. The GLS method is preferable since a turnover ratio may have a non-stationary, random component. The significant determinants of index return are turnover and volatility, although some of the volatility effect may be a spillover from a January effect. Investors expect higher return from high turnover markets. However, the positive turnover expected return relation is true only in emerging markets; in developed markets expected return is a function of volatility. This result confirms existing empirical evidence that high turnover stock portfolios generate superior returns and further the sources and pricing of risk in emerging and developed markets are different.     

Half-day trading and spillovers

This paper investigates the linkage of returns and volatilities between the United States and Chinese stock markets from January 2010 to March 2020. We use the dynamic conditional correlation (DCC) and asymmetric Baba–Engle–Kraft–Kroner (BEKK) GARCH models to calculate the time-varying correlations of these two markets and examine the return and volatility spillover effects between these two markets. The empirical results show that there are only unidirectional return spillovers from the U.S. stock market to the Chinese stock market. The U.S. stock market has a consistently positive spillover to China’s next day’s morning trading, but its impact on China’s next day’s afternoon trading appears to be insignificant. This finding implies that information in the U.S. stock market impacts the performance of the Chinese stock market differently in distinct semi-day trading. Moreover, with respect to the volatility, there are significant bidirectional spillover effects between these two markets.     

Volatility,global information,and market conditions: a study in futures markets

This study examined the behavior of return volatility in relation to the timing of information flow under different market conditions influenced by trading volume and market depth. We emphasized information flow during trading and nontrading periods that may represent domestic and offshore information in the global trading of currencies. Test results show that volatility was negatively related to market depth; that is, deeper markets had relatively less return volatility. Additionally, the effect that market depth had on volatility was superseded by information within trading volume. Test results focusing on the timing of information flow reveal that in low‐volume markets, the volatility of nontrading‐period returns exceeded the volatility of trading‐period returns. However, when trading volume was high, this pattern was reversed and conformed to the observations of earlier articles. Our findings proved to be robust across time, different currency markets, and different measures of return volatility. We also observed a trend toward greater integration between foreign and U.S. financial markets; the U.S. market increasingly emphasized information from nontrading periods to supplement information arriving during trading periods. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:173–196, 2001     

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     

Looking for contagion in currency futures markets

This article tests whether there are pure contagion effects in both conditional means and volatilities among British pound, Canadian dollar, Deutsche mark, and Swiss franc futures markets during the 1992 ERM 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. The empirical results indicate that overall there are no mean spillovers among those futures markets, but they are detected during the crisis period. That is, past return shocks originating in any one of the four markets have no impact on the other three markets during the entire sample period, suggesting that these markets are weak‐form efficient. However, this weak‐form market efficiency fails to hold during the market turmoil, especially for British pound and Swiss franc, and the sources of contagion‐in‐mean effects are mainly due to the return shocks originating in three European currency futures markets. As for the contagion‐in‐volatility, it is detected for British pound only because its conditional volatility is influenced by the negative volatility shocks from Canadian dollar, Deutsche mark, and Swiss franc, with Deutsche mark playing the dominant role in generating these shocks. JEL Classifications: C32; F31; G12. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:957–988, 2003     

International financial integration: Stock return linkages and volatility transmission between Vietnam and advanced countries

This paper investigates the interdependence between the Vietnamese stock market and other influential equity markets in terms of return linkage and volatility transmission covering the period including pre, during and post the 2008 Global Financial Crisis. A VAR model is utilized to estimate the conditional return linkage among these indices and a GARCH-BEKK model is employed to investigate the volatility transmission. We find evidence of statistically significant correlation, return spillover and volatility linkage between Vietnamese stock market with other leading equity markets of the US, Hong Kong and Japan. Moreover, we find that during the financial crisis, stock markets become more interrelated.     

Expiration day effects: The case of Hong Kong

Regulators around the world often express concerns about the high volatility of stock markets due to index derivative expirations. Earlier studies of expiration day effects have found large volume effects, abnormal return volatility, and price effects during the last hour of trading on expiration days when the settlement is based on the closing price. This article examines the impact of the expiration of Hang Seng Index (HSI) derivatives on the underlying cash market in Hong Kong for the period from 1990 to 1999. The HSI derivative market is different from most other markets in the sense that the settlement price is computed by taking the average of 5‐minute quotations of the HSI on the last trading day, thus providing an alternative setting for testing expiration day effects. Our empirical findings indicate that expiration days in Hong Kong may be associated with a negative price effect and some return volatility on the underlying stock market, but there is no evidence of abnormal trading volume on the expiration day, or price reversal after expiration. Thus, the existence of expiration day effects cannot be confirmed in the Hong Kong market. [JEL classification: G13; G14; G15]. © 2003 Wiley Periodicals, Inc. Jrl Fut Mark 23:67–86, 2003     

The volatility effect in emerging markets

We examine the empirical relation between risk and return in emerging equity markets and find that this relation is flat, or even negative. This is inconsistent with theoretical models such as the CAPM, which predict a positive relation, but consistent with the results of studies for developed equity markets. The volatility effect appears to be growing stronger over time, which we argue might be related to the increased delegated portfolio management in emerging markets. Finally, we find that the volatility effect in emerging markets is only weakly related to that in developed equity markets, which argues against a common-factor explanation.     

Volatility Spillovers and the Risk-Return Relation Between Stock and Foreign Exchange Markets in Brazil

We examine the evidence of mean and volatility spillovers between stock and foreign exchange markets in Brazil with multivariate GARCH models and nonlinear Granger causality tests. We also use a multivariate GARCH-in-mean model to assess the relationship between risk and return in these markets. The results indicate that the stock market leads the foreign exchange market in price formation and that nonlinear Granger causalities from the exchange market to the stock market do occur. Part of these nonlinear causalities are explained by volatility spillovers. We show that exchange rate volatility affects not only stock market volatility but also stock returns.     

Intraday Volatility in Interest‐Rate and Foreign‐Exchange Markets: ARCH,Announcement, and Seasonality Effects

We explore the determinants of intraday volatility in interest‐rate and foreign‐exchange markets, focusing on the importance and interaction of three types of information in predicting intraday volatility: (a) knowledge of recent past volatilities (i.e., ARCH or Autoregressive Conditional Heteroskedasticity effects); (b) prior knowledge of when major scheduled macroeconomic announcements, such as the employment report or Producer Price Index, will be released; and (c) knowledge of seasonality patterns. We find that all three information sets have significant incremental predictive power, but macroeconomic announcements are the most important determinants of periods of very high intraday volatility (particularly in the interest‐rate markets). We show that because the three information sets are not independent, it is necessary to simultaneously consider all three to accurately measure intraday volatility patterns. For instance, we find that most of the previously documented time‐of‐day and day‐of‐the‐week volatility patterns in these markets are due to the tendency for macroeconomic announcements to occur on particular days and at particular times. Indeed, the familiar U‐shape completely disappears in the foreign‐exchange market. We also find that estimates of ARCH effects are considerably altered when we account for announcement effects and return periodicity; specifically, estimates of volatility persistence are sharply reduced. Separately, our results show that high volatility persists longer after shocks due to unscheduled announcements than after equivalent shocks due to scheduled announcements, indicating that market participants digest information much more quickly if they are prepared to receive it. However, contrary to results from equity markets, we find no evidence of a meaningful difference in volatility persistence after positive or negative price shocks. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21: 517–552, 2001     

Emerging Equity Market Volatility

Abstract

This paper considers two emerging markets that are under-researched, Kenya and Nigeria. It offers a comprehensive view of four time properties that emerged from the empirical time series literature on asset returns: (1) the predictability of returns from past observations; (2) the auto-regressive behavior of conditional volatility; (3) the asymmetric response of conditional volatility to innovations; and (4) the conditional variance risk premium. Results of the exponential GARCH (EGARCH) model indicate that asymmetric volatility found in the U.S. and other developed markets also characterized the Nigerian stock exchange. In Kenya, however, the asymmetric volatility coefficient is significant and positive, suggesting that positive shocks increase volatility more than negative shocks of an equal magnitude. The Nairobi Stock Exchange (KSE) returns series report negative but insignificant risk-premium parameters. In Nigeria (NSE), return series exhibit a significant and positive time-varying risk premium. The results also show that expected returns are predictable, that the auto-regressive return parameters (? ₁ ) are significant in both Kenya and Nigeria. Finally, the GARCH parameter (b) is statistically significant, indicating that volatility persistence is present in the two emerging markets studied.     

Measuring and forecasting S&P 500 index‐futures volatility using high‐frequency data

In the 24‐hr foreign exchange market, Andersen and Bollerslev measure and forecast volatility using intraday returns rather than daily returns. Trading in equity markets only occurs during part of the day, and volatility during nontrading hours may differ from the volatility during trading hours. This paper compares various measures and forecasts of volatility in equity markets. In the absence of overnight trading it is shown that the daily volatility is best measured by the sum of intraday squared 5‐min returns, excluding the overnight return. In the absence of overnight trading, the best daily forecast of volatility is produced by modeling overnight volatility differently from intraday volatility. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:497–518, 2002     

Macroeconomic announcements,intraday covariance structure and asymmetry in the interest rate futures returns

The effects of scheduled macroeconomic announcements on the real-time intraday return volatilities, covariances, and correlations between the Eurodollar futures and the U.S. Treasury bond futures markets are studied. These announcements are responsible for most of the observed intraday jumps in volatilities, covariances, and correlations. The details of the linkage are intriguing and include announcements timing effect. Further study on intraday asymmetric volatility and correlation-in-volatility indicates that news announcements magnify asymmetric volatility and shed light on why correlations tend to be high when volatilities are high. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:815–844, 2008     

Derivatives trading,volatility spillover,and regulation: Evidence from the Korean securities markets

Unlike the U.S. and Japanese securities markets, we find new evidence of volatility spillover between index stocks and non‐index stocks following the introductions of index derivatives trading in the Korean securities markets. We further find that the degree of volatility spillover is closely related to the level of market deregulation; significant return volatility spills over from non‐index to index stocks during deregulation period but in the opposite direction during post‐deregulation period. Our empirical results show that the former volatility spillover from non‐index to index stocks can be explained by the transitory contagion effect associated with the 1997 Korean financial crisis and the subsequent market deregulation, whereas the latter volatility spillover from index to non‐index stocks is attributed to the permanent information spillover effect. This latter evidence suggests that the information regarding investors' expectations on the future common market factors is first reflected into the return volatility of index stocks and then transferred to the trading of non‐index stocks against which derivatives are not traded. Our results are robust to different estimation and sample construction methods. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:563–597, 2009     

Mid-day volatility spikes in U.S. futures markets

Recent work offers mixed results regarding the nature of intraday volatility patterns in futures markets and, specifically, the existence of spikes in futures return volatility during the middle of the U.S. trading day (Crain & Lee, 1995; Kawaller, Koch, & Peterson, 1994). This note analyzes time and sales data on two markets—Eurodollar futures and deutsche mark futures—to investigate the existence of such spikes, and to examine the nature of changes in intraday volatility patterns over time. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 195–216, 1999     

Volatility spillover and hedging effectiveness among China and emerging Asian Islamic equity indexes

We study the volatility spillover between China and Asian Islamic stock markets. We use a sample of six Islamic MSCI indices from the Asian region, namely China, India, Malaysia, Indonesia, Korea and Thailand obtained from MSCI (Morgan Stanley Capital International). In this paper we analyze the importance of considering spillover effects between emerging Asian Islamic indexes based on the Bivariate VARMA-BEKK-AGARCH model of McAleer et al. (2009), which includes spillover and asymmetric effects. We compute after the effectiveness of portfolio diversification based on the conditional volatility of returns series. Results show a significant positive and negative return spillover from China to selected Asian Islamic stock market and bidirectional volatility spillovers between China, Korea and Thailand Islamic market showing evidence of short-term predictability on Islamic Chinese stock market movements. However there is no short term volatility persistence in India, Indonesia and Malaysia. GARCH results show no persistence in volatility spillover effect in long term from Chinese to Indian, Indonesian and Korean Islamic stock market. Our findings are beneficial for international portfolio diversification for policy makers and investors since the results of portfolio management and hedging effectiveness ratio are different to previous studies.     

Index futures leadership,basis behavior,and trader selectivity

Employing intraday data for futures and cash values for the S&P 500 over the 1993–1996 period, we attempt to characterize the lead–lag relationship between these two markets and their basis behavior. Our findings show evidence of pronounced futures leadership when markets are rising, with no feedback from the cash market. However, when markets are falling, futures leadership is less evident and significant feedback from the cash market is noted. We also provide evidence of a positive relationship between the basis and return volatility. We offer an explanation, based on trader selectivity, for the leadership‐asymmetry and the basis–volatility relationship. © 2002 Wiley Periodicals, Inc. Jrl Fut Mark 22:649–677, 2002     

Informed options trading on the implied volatility surface: A cross-sectional approach

This study investigates the cross-sectional implication of informed options trading across different strikes and maturities. We explore the term structure perspective of the one-way information transmission from options markets to stock markets by adopting well-known option-implied volatility measures to examine stock return predictability. Using equity options data for U.S. listed stocks spanning 2000–2013, we find that the shape of the long-term implied volatility curve exhibits extra predictive power for stock returns of subsequent months even after orthogonalizing the short-term components. Our findings indicate that the inter-market information asymmetry rapidly disappears before the expiration of long-term option contracts.     

Intradaily periodicity and volatility spillovers between international stock index futures markets

This paper examines short‐run information transmission between the U.S. and U.K. markets using the S&P 500 and FTSE 100 index futures. Ultrahighfrequency futures data are employed—which have a number of advantages over the low‐frequency spot data commonly used in previous studies—in establishing that volatility spillovers are in fact bidirectional. The generalized autoregressive conditionally heteroskedastic model (GARCH) is employed to estimate the mean and volatility spillovers of intraday returns. A Fourier flexible function is utilized to filter the intradaily periodic patterns that induce serial correlation in return volatility. It was found that estimates of volatility persistence and speed of information transmission are seriously affected by intradaily periodicity. The bias in parameter estimation is removed by filtering out the intradaily periodic component of the transaction data. Contrary to previous findings, there is evidence of spillovers in volatility between the U.S. and U.K. markets. Results indicate that the volatility of the U.S. market is affected by the most recent volatility surprise in the U.K. market. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:553–585, 2005     

Market timing of CTAs: An examination of systematic CTAs vs. discretionary CTAs

This study uses a set of return‐based factors to explore market (return and volatility) timing ability of commodity trading advisors (CTAs). Unlike previous research, we use return‐based factors that are related to the futures markets in which most CTAs trade. This leads to higher explanatory power for our multifactor model. Our approach allows us to test for the presence of market timing in multiple markets. Accordingly, we are able to identify the markets in which CTAs may have market timing ability. We find that systematic CTAs are generally more skilled at market timing than discretionary CTAs, with the latter having slightly better overall risk‐adjusted performance during our study period: January 1994 to December 2004. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:1067–1099, 2009