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Momentum Effect in Stocks in Small Portfolios

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The momentum anomaly is one of the strongest and oldest academically described anomalies. However, is it easily exploitable?

Academic research usually uses portfolios filled by thousands of stocks to compute momentum factor returns. But this is not possible for small retail investors with small portfolios. They are constrained compared to big hedge funds and cannot diversify so well. Recent academic research shows that a small portfolio is not a problem in momentum investing. The momentum effect could be easily captured even with a portfolio consisting of up to 50 stocks.

Fundamental reason

Academic studies show strong support for momentum effects. The main reasons for anomaly persistence are behavioral biases like investor herding, investor over and underreaction, and confirmation bias. Another natural interpretation of momentum profits is that stocks underreact to information. For example, if a firm releases good news, and the stock price only reacts partially to the good news, then buying the stock after the initial release of the news will generate profits.

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Keywords

momentumstock pickingequity long shortmomentum in stocksfactor investingsmart beta

Market Factors

Equities

Confidence in Anomaly's Validity

Moderate

Notes to Confidence in Anomaly's Validity

OOS back-test shows slightly negative performance. It looks, that strategy's alpha is deteriorating in the out-of-sample period.

Period of Rebalancing

Yearly

Number of Traded Instruments

20

Complexity Evaluation

Simple

Financial instruments

Stocks

Backtest period from source paper

1988 – 2006

Indicative Performance

32%

Notes to Indicative Performance

net return per annum, annualized (geometrically) monthly return 2.34%, data from table 6 assuming 10 000 pounds in a portfolio and 10 stocks long/short, return could be enhanced by lowering number of stocks in a portfolio or by having more money (lower impact of fees)

Notes to Estimated Volatility

not stated

Maximum Drawdown

-88.09%

Notes to Maximum drawdown

not stated

Regions

Global

Simple trading strategy

The investment universe consists of all UK listed companies (this is the investment universe used in the source academic study, and it could be easily changed into any other market - see Ammann, Moellenbeck, Schmid: Feasible Momentum Strategies in the US Stock Market). Stocks with the lowest market capitalization (25% of the universe) are excluded due to liquidity reasons. Momentum profits are calculated by ranking companies based on their stock market performance over the previous 12 months (the rank period). The investor goes long in the ten stocks with the highest performance and goes short in the ten stocks with the lowest performance. The portfolio is equally weighted and rebalanced yearly. We assume the investor has an account size of 10 000 pounds.

Hedge for stocks during bear markets

No – Pure long-only equity momentum strategy implicitly can't be used as a hedge. The long-short equity momentum factor is also troublesome for hedging as a momentum factor is prone to "momentum crashes". Equity momentum factor performs well during the first stages of crises (as it usually shorts stocks with strong downward momentum and buys stocks which are not falling fast). Momentum crashes usually occurred right as the market rebounded following previous large declines. One explanation for this pattern is the time-varying systematic risk of the momentum strategy because momentum has significant negative beta following bear markets. Numerous amended versions of the basic momentum strategy appeared after the 2008 bear market. These adjusted strategies may offer a better hedge against equity market risk.

Out-of-sample strategy's implementation/validation in QuantConnect's framework(chart, statistics & code)

Related picture

Momentum Effect in Stocks in Small Portfolios

Source paper

Siganos: Can small investors exploit the momentum effect?

Abstract: This study uses U.K. data and investigates whether small investors can exploit the continuation effect in share prices. Individual traders are not in a financial position to buy and sell short hundreds of firms, as suggested by existing academic research, and thus this study uses extreme performance companies to implement the strategy. We find that strong momentum gains appear when extreme winners and losers are employed. These returns remain strong even after considering the transaction costs of implementing such strategies, including commissions, stamp duty, selling-short costs, and bid-ask spread. Overall, we show that a relatively large number of small investors can enjoy momentum gains, providing some evidence against stock market efficiency.

Other papers

  • Ammann, Moellenbeck, Schmid: Feasible Momentum Strategies in the US Stock Market

    Abstract: While there is a large literature documenting the profitability of momentum strategies, their implementation is afflicted with many difficulties. Most importantly, high turnover and costs to hold short positions, especially in small-cap stocks, result in high transaction costs. We restrict our investment universe to large-capitalized stocks included in the S&P 100 index. Moreover, we implement simple investment strategies that invest long in single stocks and short in the stock index. Such simple and cost-saving momentum strategies generate economically high and statistically significant abnormal returns. These results are robust to various risk-adjustments including the CAPM, the Fama French (1993) three-factor model, and a conditional version of the Fama and French (1993) three-factor model.

  • Foltice, Langer: Profitable Momentum Trading Strategies for Individual Investors

    Abstract: For nearly three decades, scientific studies have explored momentum investing strategies and observed stable excess returns in various financial markets. However, the trading strategies typically analyzed in such research are not accessible to individual investors due to short selling constraints, nor are they profitable due to high trading costs. Incorporating these constraints, we suggest and explore a simplified momentum trading strategy that only exploits excess returns from topside momentum for a small number of individual stocks. Building on US data from the New York Stock Exchange from 1991-2010, we analyze whether such a simplified momentum strategy outperforms the benchmark after factoring in realistic transaction costs and risks. We find that it is indeed possible for individual investors with initial investment amounts of at least $5,000. In further attempts to improve this practical trading strategy we also analyze an overlapping momentum trading strategy consisting of a more frequent trading of a smaller number of “winner” stocks. We find that increasing the trading frequency initially increases the risk-adjusted returns of these portfolios up to an optimal point when excessive transaction costs begin to dominate the scene. In a calibration study, we find that, depending on the initial investment amount of the portfolio, the optimal momentum trading frequency ranges from bi-yearly to monthly.

  • Piras, Antonio, Concentrated Portfolios of Momentum Stocks

    Abstract: There exists abundant academic literature showing that momentum, i.e. a positive correlation between initial ranking of stocks by their past returns and subsequent returns, is pervasive across different markets and time periods. Although recent criticism speculates on the disappearing of momentum returns, as-set managers have launched strategies to harvest the risk premia in form of well diversified equities funds based. In this research paper I delve deeper into the topic of the construction of concentrat-ed portfolios with less than 50 stocks. Based on monthly data for the US market universe I first investigate the consistency of momentum returns over the latest 20 years (1999-2019) with deciles analysis and then study the characteristics both of unconstrained and sector neutral concentrated portfolios. The empirical results show that momentum in the last decade (2010-2019), measured as the performance of a zero investment portfolio (long winners and short losers), is present but with minor intensitycompared to the previous decade and that on the same period the top decile “long only” portfolio, built with previous winners’ stocks, still keeps beating the markets index with better Sharpe and Sortino ratios. The results on concentrated portfolios, in particular portfolios with less than 10 stocks, show clear dependency on the given universe constituents, to make the analysis less dependent on particular universe constituents I propose to run the momentum strategy on 1000 random subsampled stocks universes and show empirically that the relation between the number of stocks in the portfolios and the corresponding performances is statistically significant monotonic (the less stocks the more performance). Finally, I report that a sector neutral portfolio, i.e. a portfolio with the same number of stocks for each industrial sector, shows superior risk return characteristics than unconstrained ones. In the last 20 years a long only portfolio based on overlapping sector neutral sub-portfolios with 10 stocks each, gained an annualized return of 11.3% with a Sharpe ratio of 0.59, compared to a 6.00% and 0.24 for the MSCI USA and a 8.5% and 0.38 for the equal weighted benchmark.

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