What happens to market prices when millions of investors simultaneously follow the same mechanical rules to rebalance the same portfolios? If you allocate to factor strategies, this paper has interesting findings as to where your returns are actually coming from.
A look at recent academic research connecting market volatility spikes to the underperformance of momentum strategies (especially for long/short versions of the strategy) The Big [...]
New research challenges a long-standing rule in momentum investing—and reveals surprising insights about when to use it For decades, investors using momentum strategies have followed [...]
Investment professionals have long relied on factor investing—strategies built around characteristics like value, momentum, and quality—to generate returns beyond the broad market. But predicting which [...]
The wealth of information contained in daily stock returns has been hiding in plain sight—and when properly extracted, it generates remarkable predictive power for future performance.
Intangible assets—things like brand reputation, proprietary knowledge, and organizational capabilities—have become more valuable than physical factories and equipment with many studies estimating that intangibles now [...]
Artificial intelligence is rapidly transforming the investment landscape in ways that extend far beyond algorithmic trading and robo-advisors. One of AI's most promising applications lies [...]
Institutional investors are frequently spoken of in the finance literature as “smart money” while retail investors are considered “noise traders” who suffer from a variety [...]
Past returns often include non-repeatable revaluation alpha. Since structural alpha is the only component likely to persist, it’s essential for investors to distinguish this from one-off valuation windfalls before placing trust—or capital—in any factor or fund.
ChatGPT and similar large language models can enhance traditional investment strategies through superior interpretation of financial news. The improvements are economically meaningful, statistically robust, and persist under realistic implementation constraints.
Leveraged ETFs function precisely as designed—they deliver leveraged exposure to daily returns, not long-term performance. Problems emerge when investors misuse these instruments for purposes they weren't built for, particularly buy-and-hold investing or long-term wealth accumulation.
Success lies not in collecting exotic anomalies like rare zoo specimens, but in understanding the economic forces that drive sustainable return patterns. Focus on strategies with solid macroeconomic foundations, maintain healthy skepticism about new discoveries, and always account for implementation costs.
"Buy the dip" (BTD) has become one of the most popular investment mantras of recent years, especially since the COVID-19 market recovery in 2020. The strategy seems intuitive: when markets fall, buy at a discount and wait for the inevitable rebound. However, BTD is not foolproof. By design, it performs well when market declines are brief, but poorly when declines mark the beginning of a prolonged drawdown. A new paper from AQR Capital Management, “Hold the Dip,” examines the empirical evidence and puts this popular strategy to the test.
Historically, the finance community (both academics and investment firms) has divided stocks into two categories: cheap and expensive. Initially, the book-to-price ratio was used to [...]
While many investors initially gravitated toward ETFs for their intraday trading capabilities, lower expense ratios, and commission-free trading options, a deeper story has emerged: tax efficiency has become the primary driver of this massive migration, particularly for long-term taxable investors.
The size effect is alive and well, but it's more nuanced than we once thought. Rather than viewing it as a simple "small beats large" phenomenon, we should understand size as a critical dimension that shapes how effectively other investment factors perform.
Can machine learning techniques improve the prediction of cross-sectional factor returns in equity markets?
As portfolios incorporate more sustainability data—from climate impact assessments to labor practices and board diversity metrics—a critical question emerges: Does this wealth of ESG information actually enhance portfolio performance, or is it merely additional data without tangible investment value?
In the ongoing debates about the virtues of active versus passive investment strategies, a fundamental problem undermines meaningful discussion: there is no universally accepted definition of what constitutes a "passive" strategy.
Letdin, Seagraves, and Sirmans advanced our understanding of REIT asset pricing by developing and rigorously testing six REIT-specific return factors—size, value, momentum, earnings quality, low volatility, and short-term reversal—using decades of data.
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