Academic Factor Exposure Versus Fund Factor Exposure
Tomorrow I'll be sitting with Pat O'Shaughnessy and Ben Johnson to discuss "Straight Talk About Smart Beta." Here is a link to the big Morningstar [...]
Tomorrow I'll be sitting with Pat O'Shaughnessy and Ben Johnson to discuss "Straight Talk About Smart Beta." Here is a link to the big Morningstar [...]
There are several big academic finance conferences that attract the best research and the best researchers in one bullpen -- the AFA and the WFA [...]
A paper, "Facts about Formulaic Value Investing," is making the rounds and professes to plunge a dagger directly into the heart of systematic value investors. Half [...]
Value and Momentum investing have been studied across many different markets and asset classes (Asness et al 2013) and have shown to be effective factors. [...]
David Smith, Na Wang, Ying Wang and Edward Zychowicz contribute to the literature on momentum with their paper, “Sentiment and the Effectiveness of Technical Analysis: Evidence from the Hedge Fund Industry,” which was published in the December 2016 issue of the Journal of Financial and Quantitative Analysis. Their work examines how investor sentiment affects the effectiveness of technical analysis strategies (which include the use of moving averages as well as momentum) used by hedge funds (which are considered sophisticated investors). The study was motivated by prior research that has focused on “investor sentiment,” which is the propensity of individuals to trade on noise and emotions rather than facts. Sentiment causes investors to have beliefs about future cash flows and investment risks that aren’t justified. Two researchers, Malcolm Baker and Jeffrey Wurgler, constructed an investor sentiment index based on six measures: trading volume as measured by NYSE turnover; the dividend premium (the difference between the average market-to-book ratio of dividend-payers and non-payers); the closed-end fund discount; the number and first-day returns of IPOs; and the equity share in new issues. Data is available at through Wurgler and New York University.
The Dark Side of ETFs? Sounds interesting, and in my humble opinion, an image of Darth Vader on page 1 would be a great addition to [...]
The ETF industry has been around for over 20 years at this point, but over the past 5 years the ETF industry has captivated the [...]
We've talked extensively about the concepts of active share and active fee, which aren't flawless metrics, but they have elevated the discussion around identifying and [...]
A few years ago, the profitability "quality" factor was originally proposed by Robert Novy-Marx. Here is a snippet from the abstract of the paper: Profitability, [...]
Each year I teach my "seminar in investments" course at Drexel, which consists of the Masters in Finance students and a handful of geeky MBA [...]
In this piece I examine various way in which an investor can think about their active market timing decisions, often labeled with the innocuous term [...]
U.S. stocks have delivered incredible stock market returns for a long time: the average compounded total return on the U.S. stock market has been nearly [...]
In 2015, Cliff Asness made the case that to earn attractive returns with proper risk-based diversification and low correlation to traditional markets, investors need to [...]
Psychology permeates nearly every area of human endeavor. In the world of investing, for instance, psychology can help us understand the systematically poor decision-making that [...]
Jack did a nice recap on a momentum paper last week that looks at using fundamentals (revenue volatility, low cost of goods, and B/M) to help identify the best price momentum stocks. This paper sounds similar to the paper Jack reviewed, but there is a key difference: the researchers are looking at the momentum of the fundamentals, not the absolute value of the fundamentals. The authors compile a fundamental momentum variable by calculating the moving averages of 7 elements: return on equity return on assets earnings per share accrual-based operating profitability cash-based operating profitability gross profitability net payout ratio
When it comes to momentum investing, everyone is always looking for a better way to implement a momentum-based stock selection strategy (the same goes for a [...]
Johnny Paycheck has a great country song centered around the following lyric: Take this job and shove it...I ain't working here no more... Campbell Harvey, [...]
Blaming the disappointing performance of active management on the exponential growth of passive indexing (defined here) is not a new idea. However, a recently published paper in the Journal of Financial Economics,(3) provides a new and notable take on the continuing debate. In a surprising turnabout to Mr. Odey’s comment, the authors of the article find that actively managed funds are more “active”, charge lower fees, and produce higher alpha, when faced with more competitive pressure from low-cost passive index funds.
I've noticed something profound the past few years: depending on your audience, the definition of active investing and passive investing is different. To a financial [...]
Before proceeding, it’s important to note that beta and volatility are related, though not the same. Beta depends on volatility and correlation to the market, whereas volatility is related to idiosyncratic risk (see here for an explanation of how to calculate the different measures). The superior performance of low-volatility and low-beta 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.” And 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.
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