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Journal ArticleDOI

How Can 'Smart Beta' Go Horribly Wrong?

TLDR
In this article, the authors predict a smart beta crash as a consequence of the soaring popularity of factor-tilt strategies, and the reasonable probability of such a crash is shown.
Abstract
Factor returns, net of changes in valuation levels, are much lower than recent performance suggests. Value-add can be structural, and thus reliably repeatable, or situational—a product of rising valuations—likely neither sustainable nor repeatable. Many investors are performance chasers who in pushing prices higher create valuation levels that inflate past performance, reduce potential future performance, and amplify the risk of mean reversion to historical valuation norms. We foresee the reasonable probability of a smart beta crash as a consequence of the soaring popularity of factor-tilt strategies.

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Forecasting: theory and practice

Fotios Petropoulos, +84 more
- 04 Dec 2020 - 
TL;DR: A non-systematic review of the theory and the practice of forecasting, offering a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts.
Journal ArticleDOI

Factor-Based Investing: The Long-Term Evidence

TL;DR: In this article, the authors estimate the risk premiums earned from factor investing over very long periods (up to 117 years) and across many markets ( up to 23) and report on the long-term profitability of following strategies based on market capitalization, value versus growth, dividend yield, stock-return momentum, and low-volatility investing.
Journal ArticleDOI

The Siren Song of Factor Timing

TL;DR: In this paper, the authors argue that factor timing has the potential of reintroducing a type of skill-based "active management" (as timing is generally thought of this way) back into the equation.
Journal ArticleDOI

Factor Timing with Cross-Sectional and Time-Series Predictors

TL;DR: In this article, the authors search for predictors of value, size, momentum, quality, and minimum-volatility smart beta factors under different economic regimes and market conditions, and find that combining information from several predictors such as business cycle indicators, valuation, relative strength, and dispersion metrics is more effective than using individual predictors.
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INVITED EDITORIAL COMMENT: The Siren Song of Factor Timing aka “Smart Beta Timing” aka “Style Timing”

TL;DR: Asness and Asness as discussed by the authors proposed a set of factors that both explain security returns and deliver a positive return premium (not necessarily the same things), and the spread between the factors is defined as the difference between the two factors.
References
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Journal ArticleDOI

The Profitability Of The U.S. Food Supply Chain: Financial Indicators, Cross-Section And Time-Series Effects

TL;DR: In this paper, the authors examined the U.S. agribusiness profitability from 1986 to 2008 by using regression analysis and modeling accounting returns as a function of diverse financial indicators.

Are Stocks Overvalued? A Survey of Equity Valuation Models

TL;DR: The question "Are stocks overvalued?" is ever present in the minds of both investors and investment professionals as mentioned in this paper, and it should come as no surprise in one of the longest-running bull markets in U.S. history.
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