The Profitability of Momentum Investing

We test for the presence of momentum profits in the UK over the period 1977 to 1998. The analysis shows that significant momentum profits are present in both a comprehensive sample of UK stocks and an accounting sub-sample. An analysis of sub-period results, seasonal effects, and the persistence of momentum profits confirms the robustness of the results. Controlling for factors known to be associated with differences in average returns, such as size, stock price, book-to-market ratio, and cash earnings-to-price ratio, cannot explain momentum profits. We also confirm that serial correlation in common factors and delayed price reaction to common factor realisations cannot explain momentum profits. We conclude that the momentum effect derives from market underreaction to either industry- or firm-specific information and it is a significant, independent phenomenon in UK stock returns.     

Price Momentum and Idiosyncratic Volatility

We find that returns to momentum investing are higher among high idiosyncratic volatility ( IVol) stocks, especially high IVol losers. Higher IVol stocks also experience quicker and larger reversals. The findings are consistent with momentum profits being attributable to underreaction to firm‐specific information and with IVol limiting arbitrage of the momentum effect. We also find a positive time‐series relation between momentum returns and aggregate IVol. Given the long‐term rise in IVol, this result helps explain the persistence of momentum profits since Jegadeesh and Titman's (1993) study.     

Reconcilable Differences: Momentum Trading by Institutions

A growing literature evaluates the relation between lag returns and demand by institutional investors. Given that lag returns and institutional ownership are directly observable, it is surprising that previous tests yield dramatically different conclusions. This study examines differences across studies and finds that four factors account for these discrepancies: (1) value‐weighting versus equal‐weighting across stocks, (2) averaging versus aggregating over managers, (3) disagreement in the signs of measures of institutional demand, and (4) correlation between current capitalization and both lag returns and measures of institutional demand. Controlling for these factors, the results across different methods are remarkably uniform.     

Momentum Strategies: Evidence from Pacific Basin Stock Markets

We investigate the profitability of momentum investment strategy in six Asian stock markets. Unrestricted momentum investment strategies do not yield significant momentum profits. Although we find that a diversified country‐neutral strategy generates small but statistically significant returns during 1981–1994, when we control for size and turnover effects we find that the country‐neutral profits dissipate. Our evidence suggests that the factors that contribute to the momentum phenomenon in the United States are not prevalent in the Asian markets.     

Short-sale inflow and stock returns: Evidence from Japan

Using a 10-year panel of flow-based information on stock borrowings and constructing a flow-based measure for shorting demand, I examine the relation between shorting demand and subsequent stock price movements. I find that the least heavily shorted stocks tend to outperform the most heavily shorted stocks and that this outperformance persists up to three months. In addition, using proxies for information asymmetry derived from the market microstructure literature, I find that this outperformance is not confined to stocks with high information asymmetry. These empirical findings indicate that short sellers act not only as informed investors who gain negative news but also as skillful investors who detect stock price deviations from fundamental values.     

Momentum profits and time-varying unsystematic risk

This study assesses whether the widely documented momentum profits can be attributed to time-varying risk as described by a GJR-GARCH(1,1)-M model. We reveal that momentum profits are a compensation for time-varying unsystematic risks, which are common to the winner and loser stocks but affect the former more than the latter. In addition, we find that, perhaps because losers have a higher propensity than winners to disclose bad news, negative return shocks increase their volatility more than they increase those of the winners. The volatility of the losers is also found to respond to news more slowly, but eventually to a greater extent, than that of the winners.     

Momentum and post-earnings-announcement drift anomalies: The role of liquidity risk

This paper investigates the components of liquidity risk that are important for understanding asset-pricing anomalies. Firm-level liquidity is decomposed into variable and fixed price effects and estimated using intraday data for the period 1983–2001. Unexpected systematic (market-wide) variations of the variable component rather than the fixed component of liquidity are shown to be priced within the context of momentum and post-earnings-announcement drift (PEAD) portfolio returns. As the variable component is typically associated with private information [e.g., Kyle, 1985. Econometrica 53, 1315–1335], the results suggest that a substantial part of momentum and PEAD returns can be viewed as compensation for the unexpected variations in the aggregate ratio of informed traders to noise traders.     

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.     

The Post‐Cost Profitability of Momentum Trading Strategies: Further Evidence from the UK

This paper examines the post‐cost profitability of momentum trading strategies in the UK over the period 1988–2003 and provides direct evidence on stock concentration, turnover and trading cost associated with the strategy. We find that after factoring out transaction costs the profitability of the momentum strategy disappears for shorter horizons but remains for longer horizons. Indeed, for ranking and holding periods up to 6‐months, profitable momentum returns would not be available to most average investors as the cost of implementation outweighs the possible returns. However, we find post‐cost profitability for ranking and/or holding periods beyond 6 months as portfolio turnover and its associated cost reduces. We find similar results for a sub‐sample of relatively large and liquid stocks.     

Noise-trading, costly arbitrage, and asset prices: Evidence from US closed-end funds

The behavior of US closed-end funds is very different from that of UK funds. There is no evidence that the US funds' discounts are constrained by arbitrage barriers, no evidence that higher expenses increase discounts and no evidence that replication risk increases discounts but strong evidence that noise-trader risk is priced. The differences between US and UK funds may be due to the fact that small investors dominate US funds while institutional investors dominate UK funds, or because the sample selection method for the UK funds chooses only funds that are relatively easy to arbitrage.     

The Relation Between Relative Order Imbalance and Intraday Futures Returns: An Application of the Quantile Regression Model to Taiwan

Adopting the quantile regression model, this paper describes the positive relation between relative order imbalance and intraday futures returns. The positive connection is relatively stronger for lower quantiles of intraday futures returns than for higher quantiles. However, the connection vanishes within 30 minutes. The results reflect the compensation of the uncertainty and the absence of liquidity for relatively lower returns in the Taiwan futures market. Furthermore, this paper finds evidence supporting an L-shaped pattern for intraday futures returns.     

The week-of-the-year effect: Evidence from around the globe

This study investigates another calendar anomaly the literature does not yet address – the week-of-the-year (WOY) effect. Using the weekly returns on the stock market indexes of 20 countries worldwide, for a period that ends in December 2010, the findings demonstrate that returns in Week 44, which starts on October 29 and ends on November 4, are positive in 19 of the 20 countries, and in 18 of them, it is also statistically significant. In contrast, the returns for Week 43, which starts on October 22 and ends on October 28, are negative in 19 of the 20 countries, and statistically significant for most of the countries. We also apply an investment strategy derived from these findings to a prediction period (2009–2010), and find that this strategy beats the simple buy-and-hold policy by a substantial margin.     

Volatility risk and the value premium: Evidence from the French stock market

This paper documents that systematic volatility risk is an important factor that drives the value premium observed in the French stock market. Using returns on at-the-money straddles written on the CAC 40 index as a proxy for systematic volatility risk, I document significant differences between volatility factor loadings of value and growth stocks. Furthermore, when markets are classified into expected booms and recessions, volatility factor loadings are also time-varying. When expected market risk premium is above its average, i.e. during expected recessions, value stocks are seen riskier than their growth counterparts. This implies in bad times, investors shift their preferences away from value firms. Instead they use growth stocks as hedges against deteriorations in their wealth during those times. The findings are in line with the predictions of rational asset pricing theory and support a “flight-to-quality” explanation.     

The effects of changes in index composition on stock prices and volume: Evidence from the Istanbul stock exchange

Previous evidence has shown that stocks included in (excluded from) an index exhibit significant positive (negative) abnormal returns on the announcement day, and that trading volume is affected by the event. This study examines the price and volume effects on stocks associated with the changes in the value-weighted index composition of two indices, of the ISE, where the index funds and index derivatives do not exist. Consistent with previous evidence, stocks included in (excluded from) the index tend to generate positive (negative) abnormal returns in ISE. Volume and volume volatility are also significantly affected. Our results seem to support the hypotheses of price-pressure, imperfect substitute and attention due to the lack of index-funds and derivatives market in Turkey.     

Stock returns and volatility following the September 11 attacks: Evidence from 53 equity markets

September 11 attacks matter, and why not? Given that globalization has integrated financial markets, the magnitudes of the effect of the September 11 attacks on global markets are expected to be pervasive. We used data from 53 equity markets to investigate the short term impact of the September 11 attacks on markets' returns and volatility. Our empirical findings indicate that the impact of the attacks resulted in significant increases in volatility across regions and over the study period. However, stock returns experienced significant negative returns in the short-run but recovered quickly afterwards. Nevertheless, we find that the impact of the attacks on financial markets varied across regions. The implication here is that the less integrated regions (e.g., Middle East and North Africa) are with the international economy, the less exposed they are to shocks.     

Exchange-rate return predictability and the adaptive markets hypothesis: Evidence from major foreign exchange rates

This study examines return predictability of major foreign exchange rates by testing for martingale difference hypothesis (MDH) using daily and weekly nominal exchange rates from 1975 to 2009. We use three alternative tests for the MDH, which include the wild bootstrap automatic variance ratio test, generalized spectral test, and Dominguez–Lobato consistent tests. We evaluate time-varying return predictability by applying these tests with fixed-length moving sub-sample windows. While exchange rate returns are found to be unpredictable most of times, we do observe a number of episodes of statistically significant return predictability. They are mostly associated with the major events such as coordinated central bank interventions and financial crises. This finding suggests that return predictability of foreign exchange rates occurs from time to time depending on changing market conditions, consistent with the implications of the adaptive markets hypothesis.     

Information content of options trading volume for future volatility: Evidence from the Taiwan options market

This study follows the approach of Ni et al. [Ni, S.X., Pan, J., Poteshman, A.M., 2008. Volatility information trading in the option market. Journal of Finance 63, 1059–1091] – based upon the vega-weighted net demand for volatility – to determine whether volatility information exists within the Taiwan options market. Our empirical results show that foreign institutional investors possess the strongest and most direct volatility information, which is realized by the delta-neutral options/futures trades. In addition, a few individual investors (less than 1% of individuals’ trades) might be informed and realize their volatility information using the strangle strategy. Surprisingly, we find no evidence to support the predictive ability of the volatility demand from straddle trades, despite the widespread acknowledgement that such trades are sensitive to volatility.     

Short sales and speed of price adjustment: Evidence from the Hong Kong stock market

We present empirical evidence that short sales contribute to market efficiency by increasing the speed of price adjustment to not only private/public firm-specific information but also market-wide information. Shortable stocks are characterized by weaker trade continuity and stronger quote reversals. They adjust faster to new information than non-shortable counterparts. These findings remain robust even in an “up” market condition in which short sales are not binding. The amount of information incorporated in each trade is also significantly higher for shortable than non-shortable stocks in both “up” and “down” market conditions. After controlling for firm size, trading volume, liquidity, price and option trading, short sales stand out as one of the significant factors that speed up the price adjustment.     

The Moving Average Ratio and Momentum

I show the ratio of the short‐term moving average to the long‐term moving average (moving average ratio, MAR) has significant predictive power for future returns. The MAR combined with nearness to the 52‐week high explains most of the intermediate‐term momentum profits. This suggests that an anchoring bias, in which investors use moving averages or the 52‐week high as reference points for estimating fundamental values, is the primary source of momentum effects. Momentum caused by the anchoring bias do not disappear in the long‐run even when there are return reversals, confirming that intermediate‐term momentum and long‐term reversals are separate phenomena.     

Order Imbalance and Its Impact on Market Performance: Order-driven vs. Quote-driven Markets

Abstract:  The behavior of order imbalance and its impact on market performance at the two Taiwan stock index futures markets, the TAIFEX and the SGX-DT, is investigated. The TAIFEX is an order-driven call market, while the SGX-DT uses a quote-driven continuous trading system. Our empirical results show that for the TAIFEX order-driven market, the spread is minimized when order imbalance is high. In contrast, for the SGX-DT quote-driven market, the spread is highest when order imbalance is high. For both markets, order imbalance has an impact on market liquidity and volatility. The impact is larger and more significant for SGX-DT futures. This suggests that the order-driven market mechanism of TAIFEX futures is superior in absorbing order imbalance and in reducing the resulting price impact.