Low-Volatility or Low-Beta Research
In this article, the author examines several important questions related to asynchronous trading, or the variation in trading frequency that occurs when trading stocks or other assets.
We examine the short-duration premium using pre-scheduled economic, monetary policy, and earnings announcements. We provide high-frequency evidence that duration premia associated with revisions of economic growth and interest rate expectations are consistent with asset pricing models but cannot explain the short-duration premium. Instead, we show that the trading activity of sentiment-driven investors raises prices of long-duration stocks, which lowers their expected returns, and results in the short-duration premium. Long-duration stocks have the lowest institutional ownership, exhibit the largest forecast errors at earnings announcements, and show the highest mispricing scores.
The intuition behind betting against beta is that leverage-constrained investors, instead of applying leverage, obtain an expected return higher than the market’s expected return through overweighting high-beta stocks and underweighting low-beta stocks in their portfolios. Their actions lower future risk-adjusted returns on high-beta stocks and increase future risk-adjusted returns on low-beta stocks. We take a deeper look into this idea.
The superior performance of low-volatility stocks was first documented in the literature in the 1970s—by Fischer Black in 1972, among others —even before the size and value premiums were “discovered.” The low-volatility anomaly has been shown to exist in equity markets around the world. Interestingly, this finding is true not only for stocks but for bonds as well. In other words, it has been pervasive...but
Negative outcomes from unconditional long exposure to the VIX led Campasano to examine the performance of an Enhanced Portfolio that dynamically invests in the S&P 500 Index and VIX futures.
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.
Two of the more interesting puzzles in finance are the high beta anomaly (high beta stocks have lower returns) and the IVOL anomaly (stocks with greater idiosyncratic volatility have produced lower returns). These are anomalies [...]
We are proponents of focused (i.e., 50 stock) long-only value and momentum factor strategies.[ref]Please note that in the context of long/short factor investing, which is more focused on Sharpe optimization and the use of leverage, [...]
Open Source Cross-Sectional Asset Pricing Andrew Chen and Tom ZimmermannWorking paperA version of this paper can be found here What are the research questions? There has been a wave of articles (and press) suggesting that academic [...]
Betting against correlation: Testing theories of the low-risk effect Cliff Asness, Andrea Frazzini, Niels Joachim Gormsen, Lasse Heje PedersenJournal of Financial EconomicsA version of this paper can be found hereWant to read our summaries of academic [...]
In virtually all studies on asset pricing and asset pricing models, the one-month Treasury bill is the choice as the risk-free rate. In his study “The Risk-Free Asset Implied by the Market: Medium-Term Bonds instead [...]
On the Performance of Volatility-Managed Portfolios Scott Cederburg, Michael S. O’Doherty, Feifei Wang, Xuemin (Sterling) YanJournal of Financial EconomicsA version of this paper can be found hereWant to read our summaries of academic finance papers? Check [...]
Among the assumptions in the first formal asset pricing model, the CAPM, is that investors are risk-averse, they maximize the expected utility of absolute wealth, and they care only about the mean and variance of [...]
Tesla (TSLA) breached the $100 billion market capitalization in January 2020 and became the most valuable car manufacturer globally. However, valuing the company is challenging given the growth profile, complexity of the business, and erratic [...]
Boring versus Cheap Winners
Betting on Boring Winners
INTRODUCTION Factor investing is hard and some factors make it harder than others. A value strategy results in a portfolio of stocks that exhibit temporary or structural issues and are usually rated “Sell” by brokers, [...]
INTRODUCTION Funds flows are frequently analyzed by investors to gauge the demand for investment strategies, but it represents a challenging exercise. Key issues are data availability as few market participants disclose their holdings as well [...]
One of the interesting puzzles in finance is that stocks with greater idiosyncratic volatility (IVOL) have produced lower returns (see an earlier post here). This is an anomaly because idiosyncratic volatility is viewed as a [...]
When Equity Factors Drop Their Shorts David Blitz, Guido Baltussen, and Pim van VlietWorking PaperA version of this paper can be found hereWant to read our summaries of academic finance papers? Check out our Academic Research Insight category [...]