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The purpose of this paper is to examine the impact of trades by informed traders and uninformed traders on the asymmetric volatility relation, a stylized fact that has long been puzzling financial economists. Avramov, Chordia, and Goyal's hypothesized that asymmetric volatility, defined as the negative relationship between daily volatility and lagged unexpected return, is governed by the trading dynamics of informed traders and uninformed traders. However, the hypothesis has not been directly tested due to lack of a measure for informed and informed trades. The authors aim to test the hypothesis using a direct measure for informed trades and uninformed trades.

The authors employ the Computer Trade Reconstruction (CTR) data of Nasdaq‐100 index futures for the period of 2002 through 2004. The dataset contains a unique variable distinguishing informed trades and uninformed trades, allowing the authors to directly examine the impact of the trades (i.e. selling activities) on the asymmetric volatility relation.

Based on the Nasdaq‐100 index futures data, the asymmetric volatility relation is driven by the selling activity of uninformed traders, particularly from small‐size trades. These results are only significant during the first half of the period, which is more volatile than the second half. The selling impact of informed traders on the asymmetric volatility relation is at most weak for both subperiods.

While risk and returns are important for asset pricing and risk management, most financial researchers consider them from a fundamental perspective. This paper's results suggest that selling activity of uninformed traders can significantly influence asset return and volatility and, hence, deserves more attention from the researchers.

The paper is the first to provide a direct test for Avmarov et al.'s hypothesis and shows that uninformed trades cause the asymmetric volatility. The authors contribute to ongoing discussions of how noise trading behavior can impact asset return and volatility.

The purpose of this paper is to examine the 2008 SEC short selling ban on financial firms and whether this ban negatively impacted private information provision in these short‐restricted equities.

This paper employs the French and Roll Variance Ratio (VR) as a proxy for private information provision in both an unconditional and conditional analysis. The unconditional analysis examines the VR across trading characteristics, firm characteristics, and time regimes. The conditional analysis models the VR in an event study framework where exogenous determinants of private information provision are held constant.

Empirical results indicate that private information provision increased due to the 2007 US financial crisis while information provision decreased due to the 2008 short selling ban. This study concludes that the 2007 financial crisis enticed informed short sellers into the market which then increased information provision. Further, the 2008 short selling ban restricted these informed short sellers from the market thus leading to a decrease in information provision in the short‐restricted firms. Interestingly, the information restricting effects of the 2008 ban were not severe enough to erode the gains in information provision originally induced by the financial crisis.

This paper specifically contributes by demonstrating that the 2008 SEC short selling ban negatively impacted private information provision. This paper contributes generally by showing that short sale bans' information effects are not completely restrictive. Rather, short sale bans' information effects are a function of firm characteristics and contemporaneous market conditions.

The purpose of this paper is to examine the pre‐ and post‐split behavior for trades and quotes of iShare exchange‐traded funds (ETFs) that split in June 2005. The objective is to determine whether post‐split changes in the bid‐ask spread, trade turnover, average dollar‐size trade, frequency of small trades, trade price location, and order imbalance support either or both of the two widely examined hypotheses for the motivation for share splits.

The impact of the iShares split around the split date was studied, using the measures above to examine the support, if any, for each of two hypotheses, broker promotion and/or the trading inconvenience, with regard to the sample and time period under study.

Bid‐ask spread, average dollar order size, and frequency of small trades were found to fail to reject the broker‐promotion hypothesis, while the increase in post‐split turnover fails to reject the trading‐inconvenience hypothesis. Changes in the trade‐price‐location parameter and in order imbalance fail to support either hypothesis.

Because of the importance of basket securities in the determination of the prices for listed securities, issuers of these securities, investors and regulators should be interested whether the price behavior of splitting iShares is similar to that experienced in other securities.

Numerous studies in the literature have investigated the effects of stock splits on individual securities, but it is believed, none has yet appeared studying the recent splits in iShares.

This study uses a two‐step GARCH‐M procedure to observe mean‐return and volatility transmissions between Latin American markets and to Latin America from external markets during the period 1993–2000. The results indicate that mean‐return transmissions are common both within region and from external markets. The volatility transmission results are consistent with contagion theory and indicate that traders use both domestic news events as well as information contained by volatility in other markets in their information set.

This study explores the price linkage between the Chinese commodity futures market and other dominant futures markets, and examines the forces behind the price linkages. The contribution by the trading hour innovations in the United States (or United Kingdom) market to the overnight price changes in the Chinese market is larger in scale than the contribution by the daytime information from the Chinese market to the overnight returns of the corresponding US (or UK) market. Several futures have significant interactions of the domestic and foreign factors in the price linkages while the Chinese domestic factors explain better the global market price linkage in some futures (aluminum, gold, and corn), demonstrating the leading role of the Chinese futures markets in these world markets.

This paper aims to provide an update to the risk management literature, as it compiles a survey of 65 recent theoretical and empirical studies on the topic.

This is a survey paper that summarizes recent theoretical and empirical research regarding the relationship between risk management and firm value.

Recent empirical evidence provides support for theoretical propositions in the literature that risk management increases firm value and returns, while reducing return and cash flow volatility. The results are largely consistent with early findings, and there have been significant empirical advances that address concerns regarding the endogeneity of risk management practices relative to corporate financial decisions. The literature has become broader and deeper, as there are now studies with larger sample sizes across more industries and geographic areas.

Firms that use sound risk management practices obtain higher valuations, achieve better financial performance and experience diminished costs of financial distress. Recent research has emerged regarding enterprise risk management and its potential for value creation and risk reduction.

The paper provides a new compilation and synthesis of recent theoretical and empirical research in risk management that addresses many of the limitations of prior research.