Allocations to illiquid assets have become increasingly popular requiring asset managers to consider portfolio-wide liquidity characteristics. Although determining the price of illiquidity is a challenge for investors, the construction of a portfolio that includes liquidity constraints can be even more daunting. How do we optimize asset allocation with liquidity as a significant constraint on the portfolio?
summary, there are no right answers when it comes to launching an active or an index ETF. However, by understanding the basics of the regulatory landscape and the costs/benefits of each approach, both consumers and ETF operators can make more informed decisions. Thanks for reading!
Are individuals just naïve performance chasers, unaware of the financial literature, or are they sophisticated investors? Pretty much.
Current Exposures:
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.
We are calling it quits for the holidays. Most of us have kids and Santa is coming to town!
We'll talk research and educate investors next week.
Here are the Top 5 content pieces this year (Based on traffic):
Do mutual funds create unnecessarily complex disclosures and fee structures to obfuscate weak net performance? Yes.
Value stocks are historically cheap compared to the past. Given this fact, a natural question is the following, "After the last two times Value had a "peak" of the factor being cheap, how did it do the subsequent five years?"
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?
Despite the fact that a company’s internally generated intangible investments create future value, under current U.S. generally accepted accounting principles, internally developed intangibles are not included in reported assets. While research and development is an important intangible asset, so too is branding. Omission of an increasingly important class of assets reduces the usefulness and relevance of financial statement analysis that uses book value.
factor performance modules have been updated
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.
Current Exposures:
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.
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