Polluters Provide Higher Returns than Non-Polluters
Atilgan, Demirtas, and Gunaydin found that there has been a pollution premium for US stocks and that the premium translated into superior investment performance.
U.S. Companies Have Outperformed Japanese Companies, or Have They?
While both the S&P 500 and the Nikkei indices have recently hit all-time highs, the valuation and balance sheet data we have reviewed indicate that the downside risks in Japanese stocks appear to be far less than the risks in U.S. stocks. Evidence such as this helps explain why legendary investor Warren Buffett has been buying Japanese stocks.
When Shorts Don’t Short
Low short positions come from positive public news, while negative news can drive average short or extremely high short positions
Private Equity May Not Be the Diversifier We Think (Due to Volatility Laundering), But Private Credit Could Be
Volatility laundering causes the risk-adjusted returns and the diversification benefits of private equity to be significantly overstated. However, the problem of volatility laundering is not a problem for all private investments, specifically not for high-quality, floating rate, private credit.
The Halo Effect Drives Demand for Sustainable and Impact Investments
Both investment motives and investment experience are important determinants for investors’ ability to assess (impact) investment opportunities. While investor preference can justify accepting a lower return as the cost of expressing their values, the halo effect should not play a role in making that assessment—both economic theory and empirical evidence should lead investors to expect lower returns on sustainable investments.
Momentum Everywhere, Even Cross-Country Factor Momentum
There is strong empirical evidence demonstrating that momentum (both cross-sectional and time-series) provides information on the cross-section of returns of many risk assets and has generated alpha relative to existing asset pricing models.
Social Media: The Value of Seeking Alpha’s Recommendations
The finding that the recommendations from SA articles resulted in statistically significant risk-adjusted alphas (returns unexplained by conventional academic models using factors such as the market, size, value, momentum, profitability, and quality for equity portfolios) is surprising given that the empirical evidence shows how difficult it is for institutional investors such as mutual funds to show outperformance beyond the randomly expected (as can be seen in the annual SPIVA Scorecards) because of market efficiency.
Using Machine Learning Programs to Forecast the Equity Risk Premium
To date, the best metric we have for forecasting future equity returns and the ERP is current valuations. An interesting question is whether more complicated methods using newly developed machine learning models can provide superior forecasts.
Momentum and the Clarity of the Trend
Momentum continues to receive much attention from researchers because of the strong empirical evidence.
Social Media, Analyst Behavior and Market Efficiency
Hibbert, Kang, Kumar and Mishra provided us with yet another explanation: social media is providing analysts with information that reduces their forecasting errors. The result has been an increase in market efficiency, leading to a reduction in the PEAD anomaly. The bottom line is that the ability to generate alpha continues to be under assault—trying to outperform the market by stock selection is becoming even more of a loser’s game.
The Performance of the Hedge Fund Industry
New research reveals that the performance of the hedge fund industry has not been as bad as the results from studies that relied on hedge fund data providers.
Minimizing the Risk of Cross-Sectional Momentum Crashes
While the empirical research on cross-sectional (long-short) momentum has shown that returns have been high, investors have also experienced huge drawdowns—momentum exhibits both high kurtosis and negative skewness. Since 1926 there have been several momentum crashes that featured short, but persistent, periods of highly negative returns. For example, from June to August 1932, the momentum portfolio lost about 91%, followed by a second drawdown from April to July 1933.
Economic Momentum
Strong empirical evidence demonstrates that momentum (both cross-sectional and time-series) provides information on the cross-section of returns of many risk assets and has generated alpha relative to existing asset pricing models.
Tracking Error is a Feature, Not a Bug
The benefits of diversification are well known. In fact, it’s been called the only free lunch in investing. Investors who seek to benefit from diversification of the sources of risk and return of their portfolios must accept that adding unique sources of risk means that their portfolio will inevitably experience what is called tracking error—a financial term used as a measure of the performance of a portfolio relative to the performance of a benchmark, such as the S&P 500.
Breaking Bad Momentum Trends
In their two papers, Goulding, Harvey, and Mazzoleni showed that observed market corrections and rebounds carry predictive information about subsequent returns and showed how that information could be utilized to enhance the performance of trend-following strategies by dynamically blending slow and fast momentum strategies based on four-state cycle-conditional information.
Betting on a Short Squeeze as Investment Strategy
Short squeezes are often associated with a large positive jump in the price of a stock. Filippou, Garcia-Ares, and Zapatero demonstrated that skewness-seeking investors try to identify securities that could experience a short squeeze in the near future and are willing to pay a premium for them. That results in an overvaluation of the options and, on average, negative returns. Investors are best served to avoid investments with lottery-like distributions. One way to do that is to turn a blind eye to social media sites like Robinhood and Reddit so you don’t get caught up in the hype and excitement. That’s another example of why retail investors are called “dumb money.” Forewarned is forearmed.
Cut Your Losses and Let Profits Run?
Be careful before acting on what is considered to be conventional wisdom. Make sure it’s supported by empirical evidence. In this case, the evidence makes clear that “cut your losses and let your profits run” should not be conventional wisdom.
Lottery Preference and Biotech Stocks: Trust the Financials, Not the Science
Making a bet on biotech/pharma firms that have not yet achieved significant revenue is the equivalent of buying a lottery ticket—with the same poor risk/return relationship.
On the Persistence of Growth and Value Stocks
While analysts underwrite high growth for companies that have grown quickly and slow growth for companies that have grown slowly in the past, a large body of evidence demonstrates that reversion to the mean of both positive and negative abnormal earnings growth is the norm.
Band of Brothers Attacking Short Sellers: Game Stop for Hedge Funds
Advisors and investors should be aware that fund families that invest systematically have found ways to incorporate the research findings on the limits to arbitrage and the evolving changes we have discussed to improve returns over those of a pure index replication strategy. It seems likely this will become increasingly important, as the markets have become less liquid, increasing the limits to arbitrage and allowing for more overpricing.