The 52-week high,momentum, and predicting mutual fund returns

George and Hwang (J Finance 59:2145–2176, 2004) have shown that the 52-week high share price carries significant predictive ability for individual stock returns, dominating other common momentum-based trading strategies. Based upon their results and other methods, this paper examines and compares the performance of three momentum trading strategies for mutual funds, including an analogous 1-year high measure for the net asset value of mutual fund shares. Strategies based on prior extreme returns and on fund exposure to stock return momentum are also examined. Results show that all three measures have significant, independent, predictive ability for fund returns. Further, each produces a distinctive pattern in momentum profits, whether measured in raw or risk-adjusted returns, with profits from momentum loading being the least transitory. Nearness to the 1-year high and recent extreme returns are significant predictors of fund monthly cash flows, whereas fund momentum loading is not.     

The timing of 52-week high price and momentum

We propose a new momentum strategy based on the timing of a stock’s 52-week high price. We find that the stocks that attained the 52-week high price in the recent past significantly outperform the stocks that attained the 52-week high price in the distant past. In particular, the top 10% of the stocks with the most recent 52-week high price outperform the bottom 10% of the stocks with most distant 52-week high price by 0.70% per month. Further, conditioning on the recency of 52-week high price significantly increases the profitability of momentum strategy based on the nearness of current price to the 52-week high price. Specifically, the average monthly return of this strategy is about twice as large for stocks with recent 52-week high price as compared with stocks with distant 52-week high price.     

The 52-week high momentum strategy in international stock markets

We study the 52-week high momentum strategy in international stock markets proposed by George and Hwang [George, T., Hwang, C.Y., 2004. The 52-week high and momentum investing. Journal of Finance 59, 2145-2176.]. This strategy produces profits in 18 of the 20 markets studied, and the profits are significant in 10 markets. The 52-week high momentum profits exist independently from the Jegadeesh and Titman [Jegadeesh, N., Titman, S., 1993. Returns to buying winners and selling losers: implications for market efficiency. Journal of Finance 48, 65-91.] individual stock and Moskowitz and Grinblatt [Moskowitz, T.J., Grinblatt, M., 1999. Do industries explain momentum? Journal of Finance 54, 1249-1290] industry momentum strategies. These profits do not show reversals in the long run. We find that the 52-week high is a better predictor of future returns than macroeconomic risk factors or the acquisition price. The individualism index, a proxy to the level of overconfidence, has no explanatory power to the variations of the 52-week high momentum profits across different markets. However, the profits are no longer significant in most markets once transaction costs are taken into account.     

International comparison of returns from conventional,industrial and 52-week high momentum strategies

The performance of industrial and 52-week high momentum strategies is compared to the conventional strategy, using a large sample of stocks drawn from multiple countries covering a quarter of century to 2007. The sample of 51,879 stocks in 51 countries removes the potential for criticism, such as data mining, and provides more generalisable findings and knowledge concerning the robustness and usefulness of return from momentum strategies. Both the industry and 52-week high strategies generate positive returns but neither is greater than the conventional momentum strategy. A new 52-week high industry momentum strategy is examined and it achieves a similar result.     

Are intraday reversal and momentum trading strategies feasible? An analysis for German blue chip stocks

The success of trading strategies that lead to abnormal excess returns based on annual/monthly investment periods has recently declined significantly. We adopt the original frameworks of De Bondt and Thaler (J Finance 40(3):793–808, 1985) and Jegadeesh and Titman (J Finance 48(1):65–91, 1993) to an intraday reversal as well as momentum strategy scheme based on 5-min stock returns. We analyze 16 reversal and momentum strategies each with ranking and holding periods of 60, 120, 180 or 300 min (reversal strategies) and 15, 30, 45 or 60 min (momentum strategies) from a retail investor’s perspective. We find no indications for momentum in stock prices but strong indications for reversals. Our results are furtherly robust regarding to market adjustment, portfolio sizes and skipping periods between ranking and holding periods. Our results show that the returns of the reversal strategies are statistically significant, however, yet too small to be economically significant. Our results also confirm the efficiency on the stock markets.

     

Momentum strategies based on reward–risk stock selection criteria

In this paper, we analyze momentum strategies that are based on reward–risk stock selection criteria in contrast to ordinary momentum strategies based on a cumulative return criterion. Reward–risk stock selection criteria include the standard Sharpe ratio with variance as a risk measure, and alternative reward–risk ratios with the expected shortfall as a risk measure. We investigate momentum strategies using 517 stocks in the S&P 500 universe in the period 1996–2003. Although the cumulative return criterion provides the highest average monthly momentum profits of 1.3% compared to the monthly profit of 0.86% for the best alternative criterion, the alternative ratios provide better risk-adjusted returns measured on an independent risk-adjusted performance measure. We also provide evidence on unique distributional properties of extreme momentum portfolios analyzed within the framework of general non-normal stable Paretian distributions. Specifically, for every stock selection criterion, loser portfolios have the lowest tail index and tail index of winner portfolios is lower than that of middle deciles. The lower tail index is associated with a lower mean strategy. The lowest tail index is obtained for the cumulative return strategy. Given our data-set, these findings indicate that the cumulative return strategy obtains higher profits with the acceptance of higher tail risk, while strategies based on reward–risk criteria obtain better risk-adjusted performance with the acceptance of the lower tail risk.     

Institutional Investor Participation and Stock Market Anomalies

This paper investigates the impact of institutional trading volume on stock market anomalies. The paper proposes a measure that evaluates the percentage of total trading volume of a stock accounted for by institutional trades. The empirical analyses using a large sample of firms from 1980–2005 provide strong evidence that the strength of stock market anomalies such as price momentum, post‐earnings announcement drift, the value premium, and the investment anomaly is decreasing in institutional trading volume. Additionally, the effects of institutional trading volume are stronger than those of institutional ownership, the major measure of institutional investor participation in the finance literature. These findings suggest that institutional trading significantly improves stock price efficiency.     

The Timing of Opening Trades and Pricing Errors

After demonstrating that a zero investment trading strategy that buys stocks with overnight returns below the market average and sells stocks with overnight returns above the market average earns more than 1% monthly profit, I demonstrate that this profit is greater for stocks that start trading more quickly than for other stocks. These results control for trading costs. The resulting pricing errors are a material portion of stock price volatility and suggest that a quick response to overnight information adds non‐information‐based stock volatility to stock prices.     

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.     

The 52-week high strategy and information uncertainty

This paper examines the driver of the 52-week high strategy, which is long in stocks close to their 52-week high price and short in stocks with a price far below their one-year high, and tests the hypothesis that this strategy’s profitability can be explained by anchoring—a behavioral bias. To test the null, we examine whether the 52-week high criterion has more predictive power in cases of larger information uncertainty. This hypothesis is based on the psychological insight that behavioral biases increase in uncertainty. For six proxies of ambiguity, we document a positive relationship to returns of 52-week high winner stocks and a negative relationship to returns of 52-week high loser stocks. The opposite effect of information uncertainty on winner and loser stocks implies that the 52-week high profits are increasing in uncertainty measures. Moreover, the study documents that the six variables have a similar impact on momentum profits. Hence, we cannot reject the hypothesis that anchoring explains the profits of the 52-week high strategy and that it is the driver of the momentum anomaly.     

模糊厌恶下股指期货风险对冲策略设计及实证分析

投资者对股指期货与现货有着不同的模糊厌恶,本文首先将此假设条件引入带交易成本的Garleanu and Pederson (2013)投资模型中,并以指数基金对冲策略为例,构建了一个股指期货动态对冲的理论模型。与非对冲策略相比,基于上述模型设计的对冲策略投资绩效更好,动态最优成交额占目标交易额的比例更小,目标成交额对收益率预测因子的敏感性更大。借助上述模型,本文选取2010年4月至2021年6月的中国ETF指数基金和股指期货数据,并以2015年9月股指期货管理措施实施为界进行区间划分,实证研究发现:(1)中国A股市场的ETF投资组合进行股指期货对冲显著提升了投资绩效,但股指期货管理会削弱该作用;(2)投资绩效改善主要来源于交易成本的下降与目标成交额因子敏感性的提升,该机制受到股指期货管理的约束;(3)与Garleanu and Pederson (2013)、Zhang et al. (2017)相比,本文对冲策略保留“抗跌”特点的同时增加了“易涨”特性。本文研究结果表明,在当前大力发展机构投资者的背景下应不断丰富股指期货、股指期权产品谱系,降低股指期货交易成本并完善持仓约束。     

Futures trading volume as a determinant of prices in different momentum phases

Recent studies contend that trading volume has predictive power for ex ante stock prices, particularly small stocks that do not react quickly to macroeconomic information. This study postulates that a significant amount of macro-information that flows on to stock markets is derived from derivative markets. We examine the impact of short-term futures trading volume and prices on cash stock prices using a case study of 15-min data from the Australian stock index futures market which reports actual trading volume. After applying vector error correction modelling (VECM), variance decomposition and impulse functions, we conclude that futures prices provide a short-term information lead to stock prices that dominates trading volume effects. We also observe asymmetric changes in the impact of trading volume between bull and bear price momentum phases and after large trading volume shocks. These results suggest that, in future, studies on trading volume should control for the cross-correlation impact from derivative prices and the differential impact of trading phases.     

On the Stability of the Cross‐Section of Expected Stock Returns in the Cross‐Section: Understanding the Curious Role of Share Turnover

In this paper, we shed further light on cross‐sectional predictors of stock return performance. Specifically, we explore whether the cross‐section of expected stock returns is robust within stock groups sorted by past monthly return. We find that the book/market and momentum effects are remarkably robust to sorting on past returns. However, share turnover is negatively related to future returns for stocks with abnormally low stock price performance in the recent past, but postively related to returns for well‐performing stocks. This casts doubt on the use of turnover as a liquidity proxy, but is consistent with turnover being a proxy for momentum trading which pushes prices in the direction of past price movements. Our results are robust to both NYSE/AMEX and Nasdaq stocks, and also robust to stratifying the sample by time period.     

克隆明星基金投资策略构建及其有效性研究

投资者对简单易行的投资策略梦寐以求。本文在股票价格具有惯性和明星基金具有股票选择能力的现实情况下，设计了一种简单易行的克隆明星基金投资策略，并以实际的金融数据对该种投资策略的有效性进行了实证分析。结果表明：该策略能够产生较好的投资收益，投资者利用该策略进行投资是有效的。     

Surprises,sentiments, and the expectations hypothesis of the term structure of interest rates

Between 2005 and 2009, we document evident time-varying credit risk price discovery between the equity and credit default swap (CDS) markets for 174 US non-financial investment-grade firms. We test the economic significance of a simple portfolio strategy that utilizes fluctuation in CDS spreads as a trading signal to set stock positions, conditional on the CDS price discovery status of the reference entities. We show that a conditional portfolio strategy which updates the list of CDS-influenced firms over time, yields a substantively larger realized return net of transaction cost over the unconditional strategy. Furthermore, the conditional strategy’s Sharpe ratio outperforms a series of benchmark portfolios over the same trading period, including buy-and-hold, momentum and dividend yield strategies.     

动量交易策略及我国股票市场实证分析

动量交易策略指的是事先针对股票收益及交易量设定过滤规则,一旦股票收益或者股票收益和交易量同时满足过滤规则就买入或卖出股票的交易策略。动量交易策略的理论基础是行为金融学。国外投资者已经成功地在实践中应用了该策略。我国股票市场是否存在动量效应,还未形成统一的结论。在总结国内外学者研究方法的基础上,利用目前可用的数据,对我国股票市场在中期条件下动量交易策略的适用性进行了实证研究。但得出的结论并不支持存在动量效应。     

Momentum returns in Australian equities: The influences of size,risk, liquidity and return computation

The apparent predictability of stock prices, and the related profitability of investment strategies based on this, has generated a great deal of research. Since the late 1980s, momentum strategies have attracted considerable attention and have been found to be profitable in numerous markets. This paper investigates the returns to short-term and intermediate-horizon momentum strategies in the Australian equity market. We focus on ‘practical’ or ‘realistic’ investment strategies, and find that momentum is prevalent in the Australian market and that the returns are of greater magnitude than previously found in overseas markets. These momentum strategy returns are robust to risk adjustment and prevail over time. We also examine the interaction of momentum on size and liquidity variables and conclude that the observed profits to these investment strategies are not explained by size or liquidity differences among the stocks.     

Commodities momentum: A behavioral perspective

The growth in commodity-related investments has sparked interest in the performance of momentum strategies in these markets. This paper introduces a behavioral proxy of the 52-week high and low momentum that explains a significant proportion of the variation of conventional momentum returns after controlling for commodity specific risk factors. Our findings show that the 52-week high strategy generates significant profits after accounting for transaction costs. We report that the 52-week high strategy is a better predictor of returns than conventional momentum. Our findings suggest that term structure and hedging pressure risk factors provide only a partial explanation of the results.     

金融生态环境、股价波动同步性与上市企业融资约束

我国股票市场股价波动同步性是否正向地反映了股价的信息吸收效率?本文将股价波动同步性作为衡量信息不对称的指标,以2003~2006年我国上市企业为样本,检验在不同金融生态环境下股价波动同步性对企业融资约束的影响。研究发现在交易噪声广泛存在的我国股票市场,股价波动同步性与上市企业融资约束呈负相关关系,且对那些处于发达金融生态环境中的企业而言,这一负相关关系表现得更为明显。研究表明在控制企业规模等因素后,股价包含更多的市场和行业信息本身正向地反映了股价的信息吸收效率,而发达的金融生态环境有助于提高股价对市场和行业信息的吸收。     

Institutional Traders' Behavior in an Emerging Stock Market: Empirical Evidence on Polish Pension Fund Investors

Abstract:   In this paper, we contribute to the literature on institutional herding and feedback trading by analysing the investment behavior of pension funds on the Polish stock market. Pension funds entered into the stock market due to the national pension system reform in 1999, providing a unique opportunity to receive deeper insight into the behavior of institutional investors in an emerging capital market. Our results show that Polish pension fund investors are to a greater extent involved in herd‐like behavior and pursue feedback trading strategies more often than their counterparts in mature markets. This finding is primarily attributed to a stringent investment regulation and high market concentration. We do not detect, however, that trading by the pension funds exerts significant influence on the future stock prices.