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.     

ADRs under momentum and contrarian strategies

Given the recent growth in the American Depositary Receipts (ADRs) and the current general climate of globalization in world equity exchanges, this paper investigates the ADRs as a distinct group of stocks within the framework of momentum and contrarian strategies. It considers the entire body of the level III ADRs from January 1982 to December 2005 and provides an analysis of their performance under various momentum and contrarian strategies. The methodology that is employed draws upon and is an extension of Lo and Mackinlay [Lo, Andrew W. and A. Craig MacKinlay, 1990. When are contrarian profits due to stock market overreaction? Review of Financial Studies, v3 (2), 175–206.] and Jegadeesh and Titman [Jegadeesh, Narasimhan and Sheridan Titman, 2001. Profitability of momentum strategies: An evaluation of alternative explanations, Journal of Finance, v56 (2, Apr), 699–720.]. The results indicate considerable support for the presence of the momentum and contrarian strategies in the ADRs market. The profitability of such strategies obviously runs counter to the efficient market hypothesis. These issues are elaborated upon and suggestions for further research are offered.     

Trading volume and short-horizon contrarian profits: Evidence from the Malaysian market

We provide evidence on short-term predictability of stock returns on the Malaysian stock market. We examine the relation between return predictability and the level of trading activity. This is particularly relevant in emerging stock markets, where thin trading is more pervasive. We find that the returns from a contrarian portfolio strategy are positively related to the level of trading activity in the securities. Specifically, the contrarian profits on actively and frequently traded securities are significantly higher than that generated from the low trading activity securities. We find that the differential behavior of high- and low-volume securities is not subsumed by the size effect, although for the small firms, the volume–predictability relation is most pronounced. We also suggest that the price patterns may be related to the institutional arrangement in the Malaysian stock market.     

When are contrarian profits due to stock market overreaction?

If returns on some stocks systematically lead or lag those ofothers, a portfolio strategy that sells 'winners' and buys 'losers'can produce positive expected returns, even if no stock's returnsare negatively autocorrelated as virtually all models of overreactionimply. Using a particular contrarian strategy we show that,despite negative autocorrelation in individual stock returns,weekly portfolio returns are strongly positively autocorrelatedand are the result of important cross-auto-correlations. Wefind that the returns of large stocks lead those of smallerstocks, and we present evidence against overreaction as theonly source of contrarian profits.     

Contrarian Profits and the Overreaction Hypothesis: the Case of the Athens Stock Exchange

This paper investigates the existence of contrarian profits and their sources for the Athens Stock Exchange (ASE). The empirical analysis decomposes contrarian profits to sources due to common factor reactions, overreaction to firm‐specific information, and profits not related to the previous two terms, as suggested by Jegadeesh and Titman (1995). Furthermore, in view of recent evidence that common stock returns are related to firm characteristics such as size and book‐to‐market equity, the paper decomposes contrarian profits to sources due to factors derived from the Fama and French (1993, 1996) three‐factor model. For the empirical testing, size‐sorted sub‐samples that are rebalanced annually are employed, and in addition, adjustments for thin and infrequent trading are made to the data. The results indicate that serial correlation is present in equity returns and that it leads to significant short‐run contrarian profits that persist even after we adjust for market frictions. Consistent with findings for the US market, contrarian profits decline as one moves from small stocks to large stocks, but only when market frictions are considered. Furthermore, the contribution to contrarian profits due to the overreaction to the firm‐specific component appears larger than the underreaction to the common factors.     

Profitability of return and sentiment-based investment strategies in US futures markets

Our study adds to the literature by providing initial evidence on the interaction between short-horizon return predictability and investors’ sentiment by traders’ types on US commodity futures market. We find that the short-term contrarian profit is more associated with an increase rather than a decrease in hedgers’ sentiment. However, the interaction between lagged return and past change in speculators’ sentiment illustrates that the short-term contrarian profit is more associated with a decrease rather than an increase in sentiment. Based on behavioral finance theories, we conclude that hedgers behave like irrational traders while speculators behave like rational ones. Using Chou et al. (2007) decomposition, our results confirm the obtained relations between change in trader's sentiment and the overreaction. By expanding this decomposition, we find that the winners’ portfolio tends to more overreact with futures specific information. Also, the cross-autocorrelation between winners and losers and between losers and winners can represent another source of contrarian profits.     

Is the Mean Return of Hotel Real Estate Stocks Apt to Overreact to Past Performance?

This study examines the return patterns of hotel real estate stocks in the U.S. during the period from 1990 to 2007.We find that the magnitude and persistence of future mean returns of hotel real estate stocks can be predicted based on past returns, past earnings surprise, trading volume, firm size, and holding period. The empirical evidence found from this paper confirms that short-horizon contrarian profits can be partially explained by the lead-lag effects, while in the intermediate-term price momentum profits and long-term contrarian profits can be partially attributed to the firms’ overreaction to past price changes. Our results support the contrarian/overreaction hypothesis, and they are inconsistent with the Fama-French risk-based hypothesis or the underreaction hypothesis. The study also confirms the earning underreaction hypothesis and finds the high volume stocks tend to earn high momentum profits in the intermediate-term. The study finds that the earning momentum effect for hotel stocks is more short-lived and smaller in magnitude than the market average. Price momentum portfolios (or contrarian portfolios) of big hotel firms underperform small hotel firms and the hotel price momentum portfolio (or contrarian portfolios) significantly underperform the overall market over the intermediate-term (or the long-term). These findings imply that the U.S. hotel industry, particularly the big hotel firms, have experienced relatively conservative growth in the sample period. It suggests that a conservative hotel growth strategy accompanied by an internal-oriented financing policy is proper in a period of prosperity.     

Short-term Contrarian Strategies in the London Stock Exchange: Are They Profitable? Which Factors Affect Them?

Abstract:  This paper provides evidence on short-term contrarian profits and their sources for the London Stock Exchange. Profits are decomposed to sources due to factors derived from the Fama and French (1996) three-factor model. For the empirical testing, size-sorted sub-samples are used, and adjustments for infrequent trading and bid-ask biases are also made. Results indicate that UK short-term contrarian strategies are profitable and more pronounced for extreme market capitalization stocks. These profits persist even when the sample is adjusted for market frictions, risk, seasonality, and irrespective of whether equally-weighted or value-weighted portfolios are employed. The most important factor that drives contrarian profits appears to be investor overreaction to firm-specific information.     

Risk‐Adjusted Long‐Term Contrarian Profits: Evidence from Non‐S&P 500 High‐Volume Stocks

Can trading volume help unravel the long‐term overreaction puzzle? With portfolios of non‐S&P 500 NYSE stocks, we show that (1) both the high‐ and low‐volume (abnormal volume) contrarian portfolios earn a much higher market‐adjusted excess return than the normal‐volume contrarian portfolio, (2) however, when leverage‐induced risk is factored in, excess returns from contrarian portfolios with normal‐ and low‐volume stocks are insignificant, (3) only excess returns from high‐volume contrarian stocks are significant and cannot be explained by the time‐varying risk and return framework, and (4) such high‐volume, risk‐adjusted excess returns arise mainly from winner (glamour) stocks.     

Asymmetric reverting behavior of short-horizon stock returns: An evidence of stock market overreaction

This paper investigates the uneven mean reverting pattern of monthly return indexes of the NYSE, AMEX and NASDAQ, using asymmetric non-linear smooth-transition (ANST) GARCH models. It also evaluates the extent to which time-varying volatility in the index returns support the stock market overreaction hypothesis. The models illuminate patterns of asymmetric mean reversion and risk decimation. Between 1926:01 and l997:12, not only did negative returns reverse to positive returns quicker than positive returns reverted to negative ones, but negative returns, in fact, reduced risk premiums from predictable high volatility. The findings support the market overreaction hypotheses. The asymmetry is due to the mispricing behavior on the part of investors who overreact to certain market news. The findings also corroborate arguments for the “contrarian” portfolio strategy.     

Investor attention,firm-specific characteristic,and momentum: A case of the Korean stock market

This study examines the sources of negative momentum profits by combining investor attention and the properties of common and firm-specific factors. We choose the Korean stock market as a good case to characterize the negative momentum profits identified in Asia. In both portfolio and stock analyses, a method is devised to generate return data involving the property of each common and firm-specific factor within stock groups by investor attention. This study found significant negative momentum profits within the stock group with high investor attention. This momentum effect is highly dependent on the reversed performance of the past loser portfolio, not the continued performance of the past winner portfolio, and this reversal is strongly attributable to the properties of firm-specific factors, and not those of common factors. These results are robustly consistent regardless of changes in empirical design and the consideration of influence factors, market dynamics, and other stock markets.     

Overreaction in the Brazilian stock market

The overreaction hypothesis on a new set of data for the Brazilian stock market over the period 1970–1989 is investigated. Both market adjusted returns and the standard Sharpe-Lintner CAPM adjusted returns are used. Price reversals in 2-year returns are detected and the results contrast with the U.S. evidence in that the magnitude of the effect is more pronounced than in the U.S. The results also suggest that differences in risk, as measured by CAPM-betas using the method suggested by Chan (Chan K.C., 1988, On the contrarian investment strategy, Journal of Business 61, 147–163), cannot account for the overreaction effect. I also examine the issue of asymmetry versus symmetry in the overreaction effect. Using the criterion proposed by Dissanaike (Dissanaike G., 1992, Are stock price reversals really symmetric? University of Cambridge Department of Applied Economics Discussion Paper, AF series, No. 4) I find evidence that the price reversals are asymmetric.     

Information Diffusion and Overreaction: Evidence from the Chinese Stock Market

This paper empirically examines the relation between overreaction and the speed of information diffusion in the Chinese stock market. Industry-adjusted firm size and residual analyst coverage are used to proxy the speed of information diffusion. We document strong evidence that the profitability of a monthly contrarian strategy decreases with industry-adjusted firm size or residual analyst coverage. Moreover, the profitability of contrarian strategies survives for a longer horizon for stocks with slower information diffusion than for those with faster information diffusion. This result holds true even if risk, bid-ask spread, lead-lag effect, inventory costs, and limits to arbitrage are properly accounted for. Our findings suggest that information environment and information diffusion determine the extent of overreaction.     

Contrarian and momentum profitability revisited: Evidence from the London Stock Exchange 1964–2005

We provide evidence relating to contrarian and momentum profits for the LSE, using 64 strategies for all 6531 stocks traded from 1964 to 2005. Thorough analysis demands controlling for key potential (contradictory) explanations of the strategies’ profitability which span psychological characteristics (e.g. overreaction/underreaction), excess risk, seasonality, size, and microstructure induced biases. Results provide a measurement of the miscalculations which occur when ignoring survivorship and microstructure biases. Contrarian/momentum profits cannot be explained by seasonality, size, or a single factor risk model. However, the Fama–French three factor model rationalises all contrarian profits. Important differences are found when examining a truncated sample period demonstrating the need to recognise that financial markets can change markedly through time.     

Are investors consistent in their trading strategies? An examination of individual investor-level data

While it has been demonstrated that momentum or contrarian trading strategies can be profitable in a range of institutional settings, less evidence is available concerning the actual trading strategies investors adopt. Standard definitions of momentum or contrarian trading strategies imply that a given investor applies the same strategy to both their buy and sell trades, which need not be the case. Using investor-level, transaction-based data from China, where tax effects are neutral, we examine investors' buy-sell decisions separately to investigate how past returns impact differentially on the trading strategies investors adopt when buying and selling stock. After controlling for a wide range of stock characteristics, extreme price changes and portfolio value, a clear asymmetry in trading is observed; with investors displaying momentum behavior when buying stocks, but contrarian behavior when selling stocks. This asymmetry in behavior is not driven purely by reactions to stock characteristics or extreme stocks. We discuss behavioral and cultural explanations for our findings.     

Momentum,contrarian, and the January seasonality

This paper reexamines the apparent success of two prominent stock trading strategies: long-term contrarian and intermediate-term momentum. The paper demonstrates that long-term contrarian is entirely attributable to the classic January size effect, rather than to investor overreaction, as argued by De Bondt and Thaler (1985). Further, the paper also resolves the Novy-Marx (2011) concern about whether return autocorrelation “is really momentum” by demonstrating that the superior performance of intermediate-term momentum is due to strong January seasonality in the cross-section of returns. The implications are that long-term contrarian must be considered largely illusory, and intermediate-term momentum must take account of annual seasonalities in returns.     

Do markets overreact: International evidence

In this paper, using the Conrad and Kaul's methodology we test for the overreaction hypothesis – which maintains that stock prices systematically overshoot and therefore their reversal can be predicted from past performance — in seven industrialized countries. Consistent with the findings of Conrad and Kaul, we see no evidence of overreaction in the US. However, returns to long-term contrarian strategies in other countries seem to be generally significant. Moreover, we find that in the majority of the countries, while returns to arbitrage portfolios based on price are higher than those based on size, the latter generally outperform the winner–loser arbitrage portfolios.     

Market States and Momentum

We test overreaction theories of short-run momentum and long-run reversal in the cross section of stock returns. Momentum profits depend on the state of the market, as predicted. From 1929 to 1995, the mean monthly momentum profit following positive market returns is 0.93%, whereas the mean profit following negative market returns is −0.37%. The up-market momentum reverses in the long-run. Our results are robust to the conditioning information in macroeconomic factors. Moreover, we find that macroeconomic factors are unable to explain momentum profits after simple methodological adjustments to take account of microstructure concerns.     

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.     

Industry momentum strategies and autocorrelations in stock returns

In this study, we examine the sources of profits to momentum strategies of buying past winner industry portfolios and selling short past loser industry portfolios. We decompose the profit into (1) own-autocovariances in industry portfolio returns, (2) cross-autocovariances among industry portfolio returns, and (3) cross-sectional dispersion in mean portfolio returns. Our empirical results show that the industry momentum effect is mainly driven by the own-autocorrelation in industry portfolio returns, not by return cross-autocorrelations or by cross-sectional differences in mean returns. Indeed, the industry momentum strategy generates statistically significant profits only when own-autocorrelations are positive and statistically significant. The evidence is consistent with several behavioral models (e.g. Journal of Financial Economics 45 (1998) 307; Journal of Finance 53 (1998) 1839; Journal of Finance 54 (1999) 2143) that suggest positive own-autocorrelations in stock returns and hence the price momentum.