Despite their popularity and the ease of access to university-based endowments, there is little in the academic literature about the history of endowment investing. In this article, the authors aim at filling this gap.
The main takeaway for investors is that Kelly, Moskowitz, and Pruitt demonstrated that past return characteristics are strongly predictive of a stock’s realized exposures to common risk factors, providing direct evidence that price trend strategies are in part explainable as compensation for common factor exposures—past returns predict betas on factors and those factors have high average returns.
Private investment opportunities seem to have been filling investors' portfolios. These investment vehicles come with a discount to the assets value to pay investors for taking on illiquidity risk. Readers of this article are treated to the development of a theory and a practical model that quantifies the illiquidity discount.
Do mutual funds create unnecessarily complex disclosures and fee structures to obfuscate weak net performance? Yes.
This is the second article in a series on women in leadership roles. To dig deeper into where women are in finance we analyzed 36,499 functional positions for the COO, CCO, and CTO roles in 29 countries, including 25 developed markets and Brazil, Russia, India, China (the “BRICs”). All public and private firms in the finance industry were included regardless of market capitalization or other characteristics.
We've been suffering through the deepest and longest drawdown in values history. Looking for a scapegoat to explain the lackluster performance many have pointed to low interest rates as the root cause of the underperformance. The question is have interest rates impacted value in the past?
In theory green stocks should have lower expected returns, this however, is not what we've seen. So the question is what has caused the outperformance of green stocks? And has that outperformance cost value investors their returns?
Can market sentiment be derived from the tunes that your fellow countrymen are listening to? According to the research summarized here you'll find that there is important market information buried in the listening habits of Spotify users.
Most readers are familiar with p-hacking and the so-called replication crisis in financial research (see here, here, and here for differing views). Some claim that these research challenges are driven by a desire to find 'positive' results in the data because these results get published, whereas negative results do not get published (the evidence backs these claims).
But this research project identifies and quantifies another potential issue with research -- the researchers themselves! This "noise" created by differences in empirical techniques, programming language, data pre-processing, and so forth are deemed "non-standard-errors," which may contribute even more uncertainty in our quest to determine intellectual truth. Yikes!
Using data on 65,000 stocks from 23 countries, they evaluated the performance of the Fama-French factors, examining the factor premia in global markets to verify their robustness across different company size categories and geographical regions. Their data sample covered the period 1987-2019.
Today we summarize an investigation into the usefulness of Prospect Theory and Narrow Framing to evaluate whether a new model can help explain 22 prominent market anomalies.
Due to the surprising headline that treasury bills seemingly outperform stocks, practitioners are starting to ask: Should I invest in individual stocks?
There was really only one question investigated in this research: Are social preferences and values the main drivers of an SRI investors' choice of SRI mutual funds?
One of the big problems for the first formal asset pricing model developed by financial economists, the CAPM, was that it predicts a positive relationship between risk and return. However, empirical studies have found the actual relationship to be basically flat, or even negative. Over the last 50 years, the most “defensive” (low-volatility or low-beta, low-risk) stocks have delivered both higher returns and higher risk-adjusted returns than the most “aggressive” (high-volatility, high-risk) stocks.
Are there similarities in the trading behavior of financial advisors and their clients? Are fees paid by advisors and clients similar too? Are advisers overconfident in their skill at identifying active managers and in their ability to outperform passive investments?
Liquidity—the ability to buy and sell significant quantities of a given asset quickly, at low cost, and without a major price concession—is valuable to investors. [...]
Momentum, Reversals, and Investor Clientele Andy Chui, Avanidhar Subrahmanyam, and Sheridan TitmanReview of Financial Studies, 2021A version of this paper can be found hereWant to read [...]
How Global is Your Mutual Fund? International Diversification from Multinationals Irem Demirci, Miguel A. Ferreira, Pedro Matos, and Clemens SialmReview of Financial Studies, 2021A version [...]
Option Return Predictability with Machine Learning and Big Data Bali, Beckmeyer, Moerke, WeigertA version of this paper can be found hereWant to read our summaries of [...]
Out of Sight No More? The Effect of Fee Disclosures on 401(k) Investment Allocations Kronlund, Pool, Sialm and StefanescuJournal of Financial Economics, 2021A version of [...]
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