An index-tracking approach generally lacks flexibility, which detracts from performance, leaving returns on the table. Intelligent design can overcome such issues. For example, an S&P 500 Index could choose to rebalance one month ahead of the scheduled reconstitution, minimizing the impact of reconstitution. Direct index funds are already engaging in such strategies with ETFs.
While the skewness metric did demonstrate that it could select funds with managers skilled a security selection, the fund’s expenses and implementation meant that the fund was just about able to cover its expenses, and that was before the negative impact of active management on after-tax returns—and the finding was not statistically significant at even the 10% level of confidence.
Joseph Liberman, Stanley Krasner, Nathan Sosner, and Pedro Freitas, authors of the September 2023 study “Beyond Direct Indexing: Dynamic Direct Long-Short Investing,” examined if the utilization of leverage and long-short strategies motivated by the literature on factor-based investing could improve on the tax benefits of direct indexing and tax-loss harvesting.
Private debt funds are a rapidly growing segment of the private capital market. Isil Erel, Thomas Flanagan, and Michael Weisbach, authors of the April 2024 [...]
Evergreen funds are a relatively new concept in the private equity (PE) world compared to traditional closed-end funds. They were introduced to address the negatives of the traditional way to invest in private equity which had been in the form of partnerships.
To determine the impact of sustainable investment strategies on equity returns, Romulo Alves, Philipp Krueger, and Mathijs van Dijk analyzed the relationship between ESG ratings and global stock returns. They found very little evidence that ESG ratings were related to global stock returns over the two-decade period.
Without question the topic of greatest debate among investors, including investment professionals, and financial economists, is whether or not the market, and the technology sector in particular, is overvalued. There are two very strong conflicting views regarding not only the current valuation of technology stocks, but also the valuation of the entire asset class of large-cap growth stocks. One side, I’ll call the “new paradigm” or “it’s different this time” school. The other side, I’ll call “the been there, done that” school. Its theme is those that don’t learn from the past are doomed to repeat the same mistakes. No two sides could have more different viewpoints. To understand each side, let’s imagine a dialogue between the two schools.
Wallstreetbets has become an increasingly prominent source of investment research. Do their recommendations have value?
The shrinking pool of public companies across which active funds can diversify their holdings, increases the risk of crowding, which the research we reviewed shows negatively impacts performance. That provides yet another reason for investors to choose to avoid playing the loser’s game of active management.
The amortization of volatility should be of concern for private capital asset classes. In order to properly budget for beta risks, it is critical that investors in private assets understand the amount of systemic (beta) risk that will “wash” into their private portfolios.
An efficient way to improve the expected performance of an equity strategy would be to systematically exclude penny stocks, as well with high asset growth and extreme past returns, especially if they have low profitability (and exclude funds that don’t screen out such stocks).
Atilgan, Demirtas, and Gunaydin found that there has been a pollution premium for US stocks and that the premium translated into superior investment performance.
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.
Low short positions come from positive public news, while negative news can drive average short or extremely high short positions
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.
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.
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.
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.
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 continues to receive much attention from researchers because of the strong empirical evidence.
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