Trading activity and price reversals in futures markets

We use the standard contrarian portfolio approach to examine short-horizon return predictability in 24 US futures markets. We find strong evidence of weekly return reversals, similar to the findings from equity market studies. When interacting between past returns and lagged changes in trading activity (volume and/or open interest), we find that the profits to contrarian portfolio strategies are, on average, positively associated with lagged changes in trading volume, but negatively related to lagged changes in open interest. We also show that futures return predictability is more pronounced if interacting between past returns and lagged changes in both volume and open interest. Our results suggest that futures market overreaction exists, and both past prices and trading activity contain useful information about future market movements. These findings have implications for futures market efficiency and are useful for futures market participants, particularly commodity pool operators.     

Volume and Autocovariances in Short-Horizon Individual Security Returns

This article tests for the relations between trading volume and subsequent returns patterns in individual securities' short-horizon returns that are suggested by such articles as Blume, Easley, and O'Hara (1994) and Campbell, Grossman, and Wang (1993) . Using a variant of Lehmann's (1990) contrarian trading strategy, we find strong evidence of a relation between trading activity and subsequent autocovariances in weekly returns. Specifically, high-transaction securities experience price reversals, while the returns of low-transactions securities are positively autocovarying. Overall, information on trading activity appears to be an important predictor of the returns of individual securities.     

Will Order Imbalances Predict Stock Returns in Extreme Market Situations? Evidence from China

This article examines the relation between order imbalances and stock returns in China during the extreme market situations in 2007 and 2008. We find that order imbalances are positively and significantly related to contemporaneous stock returns but have limited predictability for subsequent returns in extreme market situations. Moreover, order imbalances significantly predict returns in normal market environment, especially for small stocks. This may be attributed to the investor structure in the Chinese market. A trading strategy utilizing the relation between order imbalances and stock returns generates positive returns. Overall, the information contents of order imbalances vary with the market environment.     

Contrarian flows,consumption and expected stock returns

We investigate the relation between contrarian flows, consumption growth, and market risk premium. We construct a contrarian flows measure by summing up the capital flows to stocks that go against the total flow of the aggregate market. We show that the contrarian flows are negatively influenced by the same-quarter consumption growth. During bad times, the majority of investors who are affected by the negative shock reduce their equity exposure, and these extra supplies of risky assets are absorbed by contrarian investors who are least affected by the consumption shock. Using quarterly stock market data, we find that the contrarian flows forecast market returns at short-to-intermediate horizons. The predictability stems from the component that is explained by the consumption growth, and therefore the consumption growth contains valuable information about the market risk premium. Moreover, the predictability is stronger for growth stocks than for value stocks, and hence it negatively predicts the value premium. This is because the contrarian flows measure the market risk premium and growth stocks bear more discount rate risk than value stocks. Out-of-sample tests show that the main results are robust to data-snooping bias.     

Investor sentiment and return predictability of disagreement

This study examines the influence of investor sentiment on the relationship between disagreement among investors and future stock market returns. We find that the relationship between disagreement and future stock market returns time-varies with the degree of investor sentiment. Higher disagreement among investors’ opinions predicts significantly lower future stock market returns during high-sentiment periods, but it has no significant effect on future stock market returns during low-sentiment periods. Our findings imply that investor sentiment is related to several causes of short-sale impediments suggested in the previous literature on investor sentiment, and that the stock return predictability of disagreement is driven by investor sentiment. We demonstrate that investor sentiment has a significant impact on the stock market return predictability of disagreement through in-sample and out-of-sample analyses. In addition, the profitability of our suggested trading strategy exploiting disagreement and investor sentiment level confirms the economic significance of incorporating investor sentiment into the relationship between disagreement among investors and future stock market returns.     

Institutional Investor Trading in a Short Investment Horizon: Evidence from the Korean Stock Market

We examine the weekly trading activities of institutional investors in the Korean stock market. First, we find that average net trades by institutional investors this week are negatively related to one-week lagged returns, suggesting that they could be contrarian traders. Second, our finding shows that institutional investors’ net trades this week are positively related to the net trades next week, consistent with persistent trading and/or herding behavior. Third, we find that institutional net trades are positively related to the post one-week returns. Finally, our findings are most pronounced in the group of short-term institutional investors.     

Aggregate insider trading: Contrarian beliefs or superior information?

We decompose realized market returns into expected return, unexpected cash-flow news and unexpected discount rate news to test the relation between aggregate market returns and aggregate insider trading. We find that (1) the predictive ability of aggregate insider trading is much stronger than what was reported in earlier studies, (2) aggregate insider trading is strongly related to unexpected cash-flow news, (3) market expectations do not cause insider trading contrary to what others have documented, and (4) aggregate insider trading in firms with high information uncertainty is more likely to be associated with contrarian investment strategy. These results strongly suggest that the predictive ability of aggregate insider trading is because of insider’s ability to predict future cash-flow news rather than from adopting a contrarian investment strategy. These results hold even after we control for non-informative trades and information uncertainty.     

Institutional trading and share returns

Using a unique database of daily transactions from Australian equity managers, we investigate the relation between institutional trading and share returns. The 34 institutional investors included in our sample exhibit a statistically and economically significant ability to predict large capitalization share returns for the ten days following their trades. Detailed analysis indicates that investment manager style is important in understanding the link between institutional trading and stock returns. The contemporaneous relation between institutional trading and returns depends on trade size, broker use, and investment style. We find growth-oriented managers are momentum traders, while style-neutral and value managers are contrarian.     

The Dynamics of Institutional and Individual Trading

We study the daily and intradaily cross‐sectional relation between stock returns and the trading of institutional and individual investors in Nasdaq 100 securities. Based on the previous day's stock return, the top performing decile of securities is 23.9% more likely to be bought in net by institutions (and sold by individuals) than those in the bottom performance decile. Strong contemporaneous daily patterns can largely be explained by net institutional (individual) trading positively (negatively) following past intradaily excess stock returns (or the news associated therein). In comparison, evidence of return predictability and price pressure are economically small.     

Contrarian investment strategies work better for dually-traded stocks: Evidence from Hong Kong

We investigate the profitability of contrarian investment strategies for equities listed on the Hong Kong Stock Exchange (HKEX), which are separated into cross-listed firms and firms listed only in Hong Kong. We also investigate the relationship between stock returns and past trading volume for these equities. We report significantly higher contrarian profits for the period investigated and find that this is a persistent feature of stock returns for cross-listed companies. We also document that contrarian portfolios earn returns as high as 8.01% per month for the dually-traded companies and just 1.83% for only HKEX-listed firms. We find that volume has only a limited ability to explain contrarian profits. All extreme profits disappeared after adjusting for the Fama and French three-factor model.     

Are stock markets really efficient? Evidence of the adaptive market hypothesis

This study examines the adaptive market hypothesis in the S&P500, FTSE100, NIKKEI225 and EURO STOXX 50 by testing for stock return predictability using daily data from January 1990 to May 2014. We apply three bootstrapped versions of the variance ratio test to the raw stock returns and also whiten the returns through an AR-GARCH process to study the nonlinear predictability after accounting for conditional heteroscedasticity through the BDS test. We evaluate the time-varying return predictability by applying these tests to fixed-length moving subsample windows and also examine whether there is a relationship between the level of predictability in stock returns and market conditions. The results show that there are periods of statistically significant return predictability, but also episodes of no statistically significant predictability in stock returns. We also find that certain market conditions are statistically significantly related to predictability in certain markets but each market interacts differently with the different market conditions. Therefore our findings suggest that return predictability in stock markets does vary over time in a manner consistent with the adaptive market hypothesis and that each market adapts differently to certain market conditions. Consequently our findings suggest that investors should view each market independently since different markets experience contrasting levels of predictability, which are related to market conditions.     

Informed Options Trading Prior to Dividend Change Announcements

This paper investigates the information content of options trading prior to dividend change announcements. I find a positive (negative) relation between pre‐announcement abnormal implied volatility (IV) spread (abnormal IV skew) and cumulative abnormal stock returns around dividend change announcements. The predictive power of informed options trading is stronger for announcements of dividend reduction and when the options market is more liquid relative to the stock market and weaker when information has already been incorporated in the stock market. The predictability of informed options trading is robust to a placebo test and alternative measures of informed options trading. Overall results suggest that informed options trading predicts dividend change announcement returns.     

Effects of order flow imbalance on short-horizon contrarian strategies in the Australian equity market

We use Lo and MacKinlay's [Lo, A.W., MacKinlay, C., 1990. When are contrarian profits due to stock market overreaction? The Review of Financial Studies 3, 175–205.] contrarian portfolio approach to examine the profitability of short-horizon contrarian strategies in the context of the Australian Stock Exchange. The results show that simple contrarian strategies lead to small but still statistically significant profits when applied to daily and intra-day portfolio formation. However, the profits are not sufficient to cover transaction costs for institutional investors. The source of contrarian profits is also analyzed leading to the conclusion that stock market overreaction is found to be the primary source of contrarian profits. We also examine the relation between the degree of return reversal and order flow activity after abnormal price changes. We find that the degree of return reversal is positively related to the level of order flow imbalance. Larger profits are generated from order flow based contrarian strategies when the order flow imbalances are high.     

Institutional trading and stock returns

In this study, we explore the dynamics of the relation between institutional trading and stock returns. We find that stock returns Granger-cause institutional trading (especially purchases) on a quarterly basis. The robust and significant causality from equity returns to institutional trading can be largely explained by the time-series variation of market returns, that is, institutions buy more popular stocks after market rises. Stock returns appear to be negatively related to lagged institutional trading. A further analysis of the behavior of trading and the returns of the traded stocks reveals evidence that stocks with heavy institutional buying (selling) experience positive (negative) excess returns over the previous 12 months.     

On the predictability of Chinese stock returns

We examine stock return predictability in China. We take 18 firm-specific variables that have been documented to predict cross-sectional stock returns in the U.S. and examine their relation with stock returns in China for the sample period from 1995 to 2007. We find relatively weak predictability for Chinese stocks. Only five firm-specific variables predict returns in the Chinese market. Tests on U.S. stock returns find that more predictors can explain cross-sectional stock return variation. We test two explanations for the cause of weak returns predictability in China. First, perhaps return predictors in China are less heterogeneously distributed than they are in the U.S. Second, stock prices are less informative in China than they are in the U.S. We find support for both explanations.     

Striking oil: Another puzzle?

Changes in oil prices predict stock market returns worldwide. We find significant predictability in both developed and emerging markets. These results cannot be explained by time-varying risk premia as oil price changes also significantly predict negative excess returns. Investors seem to underreact to information in the price of oil. A rise in oil prices drastically lowers future stock returns. Consistent with the hypothesis of a delayed reaction by investors, the relation between monthly stock returns and lagged monthly oil price changes strengthens once we introduce lags of several trading days between monthly stock returns and lagged monthly oil price changes.     

The Impact of Public Information on the Stock Market

We study the relation between the number of news announcements reported daily by Dow Jones & Company and aggregate measures of securities market activity including trading volume and market returns. We find that the number of Dow Jones announcements and market activity are directly related and that the results are robust to the addition of factors previously found to influence financial markets such as day-of-the-week dummy variables, news importance as proxied by large New York Times headlines and major macroeconomic announcements, and noninformation sources of market activity as measured by dividend capture and triple witching trading. However, the observed relation between news and market activity is not particularly strong and the patterns in news announcements do not explain the day-of-the-week seasonalities in market activity. Our analysis of the Dow Jones database confirms the difficulty of linking volume and volatility to observed measures of information.     

Market Segmentation and Cross‐predictability of Returns

We present evidence supporting the hypothesis that due to investor specialization and market segmentation, value‐relevant information diffuses gradually in financial markets. Using the stock market as our setting, we find that (i) stocks that are in economically related supplier and customer industries cross‐predict each other's returns, (ii) the magnitude of return cross‐predictability declines with the number of informed investors in the market as proxied by the level of analyst coverage and institutional ownership, and (iii) changes in the stock holdings of institutional investors mirror the model trading behavior of informed investors.     

Insider trading and future stock returns in firms with concentrated ownership levels

We investigate the relationship between insider trading and stock returns in firms with concentrated ownership. To this end, we employ data from East Asian countries which span the period January 2003 to May 2012. Consistent with the previous literature, we find a significantly negative relation between the selling activity of insiders and stock returns. However, contrary to studies which focus on highly developed markets, we find that the buying activity of insiders is also inversely related to future stock returns. Our analysis shows that top directors with higher ownership levels drive this result, suggesting that the trading activity of insiders is not always associated with profit-making motives and can be explained by their level of ownership. Furthermore, we demonstrate that a trading strategy which focuses solely on purchases made by top directors with high ownership levels yields negative returns. The paper has important implications for outside investors who mimic the trading activity of insiders with the aim to realise profits.     

Institutional Herding in the ADR Market

This study examines institutional herding in the ADR market between 1985 and 1998. We find a significant positive relation between changes in institutional ownership and ADR returns over the same period. The positive relation persists after we control for the momentum effect in the US stock markets. We also find that in the ADR market, past winners (losers) in the herding period continue to be the winners (losers) in the post-herding period. The lack of a returns reversal suggests institutional herding is related to momentum trading. However, the positive relation between institutional ownership changes and ADR returns remains after controlling for momentum trading in the ADR market. Our results also rule out that positive feedback trading is related to institutional herding in the ADR market.