VOLATILITY FORECASTS,TRADING VOLUME,AND THE ARCH VERSUS OPTION‐IMPLIED VOLATILITY TRADE‐OFF

We investigate empirically the role of trading volume (1) in predicting the relative informativeness of volatility forecasts produced by autoregressive conditional heteroskedasticity (ARCH) models versus the volatility forecasts derived from option prices, and (2) in improving volatility forecasts produced by ARCH and option models and combinations of models. Daily and monthly data are explored. We find that if trading volume was low during period t?1 relative to the recent past, ARCH is at least as important as options for forecasting future stock market volatility. Conversely, if volume was high during period t?1 relative to the recent past, option‐implied volatility is much more important than ARCH for forecasting future volatility. Considering relative trading volume as a proxy for changes in the set of information available to investors, our findings reveal an important switching role for trading volume between a volatility forecast that reflects relatively stale information (the historical ARCH estimate) and the option‐implied forward‐looking estimate.     

Concentrated control,institutions, and banking sector: An international study

Using a broad sample of listed commercial banks in East Asia and Western Europe, this paper investigates the relations among concentrated control, a set of bank operating characteristics, and legal and regulatory regimes. We find that banks with concentrated control exhibit poorer performance, lower cost efficiency, greater return volatility, and higher insolvency risk, relative to widely held ones. We also document that legal institutions and private monitoring effectively reduce the detrimental effects of concentrated control and that official disciplinary power plays a weak governance role, whereas government intervention exacerbates the adverse effects. Further evidence shows that the relations between control concentration and bank operating characteristics are curvilinear and vary according to the types of controlling owners. Overall, our findings support the contention that country-level institutions play important roles in constraining insider expropriation, and that private monitoring mechanisms are more effective than are public rules and supervision in governing banks.     

Block ownership and firm-specific information

This study examines the impact of block ownership on the firm’s information environment. Previous research shows that stock price efficiency depends on the cost of acquiring private information, as well as on the precision of this information. Blockholders have a clear advantage over diffuse, atomistic shareholders in terms of the precision and acquisition cost of their private information. We hypothesize that this informational advantage will manifest itself primarily in the firm-specific component of stock returns. Our empirical findings confirm that blockholders increase the probability of informed trading and idiosyncratic volatility, and decrease the firm’s stock return synchronicity. These results hold for both inside and outside blockholders, but are insignificant for blocks controlled by employee stock ownership plans (ESOPs). Overall, our findings support the contention that ownership structure plays a significant role in shaping the firm’s information environment.     

Sovereign Credit Risk,Banks' Government Support,and Bank Stock Returns around the World

We explore the joint effect of expected government support to banks and changes in sovereign credit ratings on bank stock returns using data for banks in 37 countries between 1995 and 2011. We find that sovereign credit rating downgrades have a large negative effect on bank stock returns for those banks that are expected to receive stronger support from their governments. This result is stronger for banks in advanced economies where governments are better positioned to provide that support. Our results suggest that stock market investors perceive sovereigns and domestic banks as markedly interconnected, partly through government guarantees.     

GARCH modelling of banking integration in the Eurozone

We investigate the progress of integration in the European banking industry and its effects on the price of the common stock of banks listed on European stock exchanges. We estimate the overall effect of progress by comparing the changes in the stock price volatility of listed banks over the period from January 1990 to December 2005. Using univariate and bivariate GARCH models, we document that the introduction of the Euro and the enlargement of the European Union in May 2004 have contributed to the integration process of the banking industry in Europe. We also find evidence of negative volatility spillovers among bank stock returns for different groups of countries that have been involved in various recent stages of the European economic and political integration.     

MACROECONOMIC NEWS,STOCK TURNOVER,AND VOLATILITY CLUSTERING IN DAILY STOCK RETURNS

We study volatility clustering in daily stock returns at both the index and firm levels from 1985 to 2000. We find that the relation between today's index return shock and the next period's volatility decreases when important macroeconomic news is released today and increases with the shock in today's stock market turnover. Collectively, our results suggest that volatility clustering tends to be stronger when there is more uncertainty and disperse beliefs about the market's information signal. Our findings also contribute to a better understanding of the joint dynamics of stock returns and trading volume.     

Arrogance can be a virtue: Overconfidence,information acquisition,and market efficiency

In behavioral finance, overconfidence has been established as a prevalent psychological bias, which can make markets less efficient by creating mispricing in the form of excess volatility and return predictability. In this paper, we develop a model in which overconfidence causes investors to overinvest in information acquisition when this information could improve market efficiency by driving prices closer to true values. We study the impact of overconfidence on mispricing and information acquisition, comparing their net effect on prices. We derive several novel implications. First, overconfidence generally improves market pricing provided the level of overconfidence is not too high. Pricing can also improve even when overconfidence is arbitrarily high, depending on the amount of private information acquired relative to publicly available information.     

On syndicate composition, corporate structure and the certification effect of credit ratings

We assess the relative importance of ratings versus stock exchange listings in reducing information asymmetry using a dataset of syndicated loans to public and private firms in the UK. We find that the certification effect of ratings is largest for private firms and that syndicates are smallest if firms are privately held or unrated. Moreover, we find that the marginal effect of being stock exchange listed is insignificant once these firms are rated. Exploiting the heterogeneity among lenders, we find that especially foreign bank and non-bank investors do not provide capital if firms are unrated. Our paper highlights the information produced by rating agencies as an important mechanism by which ratings improve access to capital. Our results also emphasize the importance of syndicate moral hazard on the supply of uninformed capital: bank-borrower relationships significantly increase the loan share syndicated to investors particularly if firms are not listed and unrated.     

Institutional trading, information production, and the choice between spin-offs, carve-outs, and tracking stock issues

We analyze a firm's choice between spin-offs, equity carve-outs, and tracking stock issues and the role of institutional investors in corporate restructuring. We model a firm with two divisions. Insiders have private information about firm value and face an equity market with retail and institutional investors. We show that restructuring increases information production by institutional investors (relative to that about the consolidated firm): the highest increase in information production arises from spin-offs, the next highest from carve-outs, and the lowest from tracking stock issues. Insiders with the most favorable private information implement spin-offs; those with less favorable private information implement carve-outs; those with even less favorable private information implement tracking stock issues; and those with unfavorable private information remain consolidated. We explain the positive announcement effect and increase in analyst coverage associated with all three forms of restructuring. Our model also generates a number of novel testable predictions for firms' choice between spin-offs, carve-outs, and tracking stock issues, and for institutional trading around these three forms of restructuring.     

Stock return volatility,operating performance and stock returns: International evidence on drivers of the ‘low volatility’ anomaly

This study highlights the link between stock return volatility, operating performance, and stock returns. Prior studies suggest that there is a ‘low volatility’ anomaly, where firms with a low stock return volatility out-perform firms with a high stock return volatility. This paper confirms that low volatility stocks earn higher returns than high volatility stocks in emerging markets and developed markets outside of North America. We also show that low volatility stocks have higher operating returns and this might explain why low volatility stocks earn higher stock returns. These results provide a partial explanation for the ‘low volatility effect’ that is independent from the existence of market anomalies or per se inefficiencies that might otherwise drive a low volatility effect. We emphasize the importance of controlling for stock return volatility when analyzing operating performance and stock performance.     

The empirical risk–return relation: A factor analysis approach

Existing empirical literature on the risk–return relation uses relatively small amount of conditioning information to model the conditional mean and conditional volatility of excess stock market returns. We use dynamic factor analysis for large data sets, to summarize a large amount of economic information by few estimated factors, and find that three new factors—termed “volatility,” “risk premium,” and “real” factors—contain important information about one-quarter-ahead excess returns and volatility not contained in commonly used predictor variables. Our specifications predict 16–20% of the one-quarter-ahead variation in excess stock market returns, and exhibit stable and statistically significant out-of-sample forecasting power. We also find a positive conditional risk–return correlation.     

Accruals quality and analyst coverage

We provide evidence that analyst coverage increases as accruals quality decreases. This finding is consistent with the services of financial analysts becoming more valuable and in greater demand as accruals provide weaker signals about future cash flows. Further, it is accruals quality associated with innate uncertainty in the firm’s operating environment that attracts analysts even after controlling for operating uncertainty associated with cash flow and stock return volatility. This suggests that low quality accruals provide an opportunity for analysts to benefit from generating private information. Consistent with analysts providing compensating information, we find that forecasts for firms with lower accruals quality contain more private information.     

Trading activity and bid–ask spreads of individual equity options

We empirically examine the impact of trading activities on the liquidity of individual equity options measured by the proportional bid–ask spread. There are three main findings. First, the option return volatility, defined as the option price elasticity times the stock return volatility, has a much higher power in explaining the spread variations than the commonly considered liquidity determinants such as the stock return volatility and option trading volume. Second, after controlling for all the liquidity determinants, we find a maturity-substitution effect due to expiration cycles. When medium-term options (60–90 days maturity) are not available, traders use short-term options as substitutes whose higher volume leads to a smaller bid–ask spread or better liquidity. Third, we also find a moneyness-substitution effect induced by the stock return volatility. When the stock return volatility goes up, trading shifts from in-the-money options to out-of-the-money options, causing the latter’s spread to narrow.     

Overnight information and stochastic volatility: A study of European and US stock exchanges

This paper provides a comprehensive evaluation of the predictive ability of information accumulated during nontrading hours for a set of European and US stock indexes. We introduce a stochastic volatility model, which conditions on lagged overnight information, distinguishes between the nontrading periods of weeknights, weekends, holidays and long weekends, and allows for an asymmetric leverage effect on the impact of overnight news. We implement Bayesian methods for estimation and ranking of the empirical models, and find two key results: (i) there is substantial predictive ability in financial information accumulated during nontrading hours; and (ii) the performance of stochastic volatility models improves considerably by separating the asymmetric impact of positive and negative news made available over weeknights, weekends, holidays and long weekends.     

WHEN‐ISSUED SHARES,SMALL TRADES,AND THE VARIANCE OF RETURNS AROUND STOCK SPLITS

The increases in volatility after stock splits have long puzzled researchers. The usual suspects of discreteness and bid‐ask spread do not provide a complete explanation. We provide new clues to solve this mystery by examining the trading of when‐issued shares that are available before the split. When‐issued trading permits noise traders to compete with a more homogenous set of traders, decreasing the volatility of the stock before the split. Following the split, these noise traders reunite in one market and volatility increases. Thus, the higher volatility after the ex date of a stock split is a function of the introduction of when‐issued trading, the new lower price level after the split date, and the increased activity of small‐volume traders around a stock split.     

Volume,volatility and information linkages in the stock and option markets

This paper examines the relationship between option trading activity and stock market volatility. Although the option market is uniquely suited for trading on volatility information, there is little analysis on how trading activity in this market is linked to stock price volatility. The bulk of the discussion tends to focus on whether trading activity in the stock market is informative about stock volatility. To analyze the information in option trading activity for stock market volatility, a sample of 15 stocks with the highest option trading volume is selected. For each stock, it is noted that the trading activities in the put and call option markets have significant explanatory power for stock market volatility. In addition, the results indicate that the call option trading activity has a stronger impact on stock volatility compared with that of the put options. Our results demonstrate that information and sentiment in the option market is useful for the estimation of stock market volatility. Also, the significance of the effects of option trading activity on stock price volatility is observed to be comparable to that of stock market trading activity. Furthermore, the persistence and asymmetric effects in the volatility of some stocks tend to disappear once option trading activity is taken into account.     

Bank ownership,privatization, and performance: Evidence from a transition country

This paper combines the static effect of ownership and the dynamic effect of privatization on bank performance in China over 1995–2010, reporting a significantly higher performance by private intermediaries – joint stock commercial banks and city commercial banks – relative to state-owned commercial banks. However, publicly traded banks, subject to multiple monitoring and vetting in capital markets, perform better regardless of ownership status. The privatization of banks has improved performance with respect to revenue inflow and efficiency gains in the short- or long-run (initial public offerings). The positive long-run effect is more relevant and significant for banking institutions with minority foreign ownership. Moreover, this paper innovatively estimates interest income efficiency and non-interest income efficiency at the same time. The results suggest that Chinese banks are much more efficient in generating interest income than raising non-interest revenue, although the latter aspect has improved significantly during the sample period.     

Volatility spillovers and the effect of news announcements

We examine the effect of US and European news announcements on the spillover of volatility across US and European stock markets. Using synchronously observed international implied volatility indices at a daily frequency, we find significant spillovers of implied volatility between US and European markets as well as within European markets. We observe a stark contrast in the effect of scheduled versus unscheduled news releases. Scheduled (unscheduled) news releases resolve (create) information uncertainty, leading to a decrease (increase) in implied volatility. Nevertheless, news announcements do not fully explain the volatility spillovers, although they do affect the magnitude of volatility spillovers. Our results are robust to extreme market events such as the recent financial crisis and provide evidence of volatility contagion across markets.     

Do bank regulations affect board independence? A cross-country analysis

Based on the hand-collected board structure data of 277 listed banks across 55 countries, and the bank regulation and supervision database compiled by the World Bank, this paper provides the first cross-country assessment of the impacts of bank regulations on board independence of banks. In line with Beck et al. (2006), we examine the effects of two types of regulation policies, the first involving the empowerment of supervisory agencies to monitor and discipline banks directly, and the second focusing on encouraging private monitoring of banks through requiring disclosure of more accurate and complete information. We find that empowering official supervisory agencies to discipline banks directly reduces board independence, but encouraging private sector monitoring of banks increases it. The findings suggest that the first type of regulations tends to crowd out the internal governance of banks, while the second crowds in it. We also find that the legal system with better investor rights protection and better contracts enforcement not only increases board independence but also enhances the crowding in effect of promoting private monitoring and decreases the crowding out effect of direct official supervision on board independence.     

Are banks too big to fail or too big to save? International evidence from equity prices and CDS spreads

Deteriorating public finances around the world raise doubts about countries’ abilities to bail out their largest banks. For an international sample of banks, this paper investigates the impact of bank size and government deficits on bank stock prices and CDS spreads. We find that a bank’s market-to-book value is negatively related to the size of its liabilities-to-GDP ratio, especially in countries running large public deficits. CDS spreads appear to decrease with stronger public finances. These results suggest that systemically important banks can increase their value by downsizing or splitting up, especially if they are located in countries with weak public finances. We document that banks’ average liabilities-to-GDP ratio reached a peak in 2007 before a significant drop in 2008, which could reflect these private incentives to downsize.