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The Book-to-Market effect is probably one of the oldest effects which have been investigated in financial markets. It compares the book value of the company to the price of the stock - an inverse of the P/B ratio. The bigger the book-to-market ratio is, the more fundamentally cheap is the investigated company. Book-to-Market wasn‘t even considered as a market anomaly at the beginning of the century when Ben Graham famously popularized its use. The ratio lost some of its popularity when the Efficient Market Theory and CAPM became the main Wall Street theories. Still, it gained back its position after several studies have shown the rationality of using it. This anomaly is well-described in the classical Fama and French research paper (1993).
Pure value effect portfolios are created as long stocks with the highest Book-to-Market ratio and short stocks with the lowest Book-to-Market ratio. However, this pure value effect has substantial drawdowns with more than 50% drawdown in the 1930s. The value factor is still a strong performance contributor in long-only portfolios (formed as long stocks with the highest Book-to-Market ratio without shorting stocks with low Book-to-Market ratios).
This strategy was initially based on the paper by Fama and French: The Cross-Section of Expected Stock Returns, but to stay up to date and to have data with longer history we drew from a newer paper by Asness, Frazzini, Israel and Moskowitz: Fact, Fiction, and Value Investing.
Fundamental reason
One explanation is that investors overreact to growth aspects for growth stocks, and value stocks are, therefore, undervalued.
According to some academics, the ratio of market value to book value itself is a risk measure. Therefore, the larger returns generated by low MV/BV stocks are simply compensation for risk. Low MV/BV stocks are often those in some financial distress.
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Market Factors
Confidence in Anomaly's Validity
Period of Rebalancing
Number of Traded Instruments
Complexity Evaluation
Financial instruments
Backtest period from source paper
Indicative Performance
Notes to Indicative Performance
Estimated Volatility
Notes to Estimated Volatility
Maximum Drawdown
Notes to Maximum drawdown
Sharpe Ratio
Regions
Simple trading strategy
The investment universe contains all NYSE, AMEX, and NASDAQ stocks. To represent "value" investing, HML portfolio goes long high book-to-price stocks and short, low book-to-price stocks. In this strategy, we show the results for regular HML which is simply the average of the portfolio returns of HML small (which goes long cheap and short expensive only among small stocks) and HML large (which goes long cheap and short expensive only among large caps). The portfolio is equal-weighted and rebalanced monthly.
Hedge for stocks during bear markets
No – Long-only value stocks logically can't be used as a hedge against market drops as a lot of strategy's performance comes from equity market premium (as the investor holds equities, therefore, his correlation to a broad equity market is very very high). Now, evidence for using a long-short value factor portfolio as a hedge against the equity market is very mixed. Firstly, there are a lot of definitions of value factor (from simple standard P/B ratios to various more complex definitions), and the performance of different value factors differ in times of stress. Also, there are multiple research papers in a tone of work of Cakici and Tan : "Size, Value, and Momentum in Developed Country Equity Returns: Macroeconomic and Liquidity Exposures" that link value factor premium to liquidity and growth risk and show that the implication is that value returns can be low prior to periods of low global economic growth and bad liquidity.
Out-of-sample strategy's implementation/validation in QuantConnect's framework(chart, statistics & code)
Source paper
Asness, Frazzini, Israel, Moskowitz: Fact, Fiction, and Value Investing
Abstract: Value investing has been a part of the investment lexicon for at least the better part of a century. In particular the diversified systematic “value factor” or “value effect” has been studied extensively since at least the 1980s. Yet, there are still many areas of confusion about value investing. In this article we aim to clarify many of these matters, focusing in particular on the diversified systematic value strategy, but also exploring how this strategy relates to its more concentrated implementation. We highlight many points about value investing and attempt to prove or disprove each of them, referencing an extensive academic literature and performing simple tests based on easily accessible, industry-standard public data.
Other papers
Fama, French: The Cross-Section of Expected Stock Returns
Abstract: Two easily measured variables, size and book-to-market equity, combine to capture the cross-sectional variation in average stock returns associated with market beta, size, leverage, book-to-market equity and earnings price ratios. Moreover, when the tests allow for variation in beta that is unrelated to size, the relation between market beta and average return is flat, even when beta is the only explanatory variable.
Gray: The Quantitative Value Investing Philosophy - Buy the Cheapest, Highest Quality Value Stocks
Abstract: Benjamin Graham, who first established the idea of purchasing stocks at a discount to their intrinsic value more than 80 years ago, is known today as the father of value investing. Since Graham’s time, academic research has shown that low price to fundamentals stocks have historically outperformed the market. In the investing world, Graham’s most famous student, Warren Buffett, has inspired legions of investors to adopt the value philosophy. Despite the widespread knowledge that value investing generates higher returns over the long-haul, value-based strategies continue to outperform the market. How is this possible? The answer relates to a fundamental truth: human beings behave irrationally. We are influenced by an evolutionary history that preserved traits fitted for keeping us alive in the jungle, not for optimizing our portfolio decision-making ability. While we will never eliminate our subconscious biases, we can minimize their effects by employing quantitative tools.
Chaves, Hsu, Kalesnik, Shim: Cheaper than Value
Abstract: Value strategies appear to provide an extra source of return. Academic literature provides two competing theories on what drives the value premium: exposure to risk factors or mispricing of the securities. Existing empirical studies have not conclusively rejected one in support of the other. Using Fama and MacBeth (1973) regressions and extensions of the portfolio tests based on Daniel and Titman (1997), we provide evidence that the book-to-market characteristic largely subsumes the loading on the value factor (HML) as a variable that explains the cross-section of stock returns. We improve the power of these tests by using daily data for estimating factor loadings and by using data from 23 developed countries going back more than 30 years. Given these results, we conclude mispricing is likely a more significant portion of the value premium. There appears to be a free lunch after all.
Damodaran: Value Investing: Investing for Grown Ups?
Abstract: Value investors generally characterize themselves as the grown ups in the investment world, unswayed by perceptions or momentum, and driven by fundamentals. While this may be true, at least in the abstract, there are at least three distinct strands of value investing. The first, passive value investing, is built around screening for stocks that meet specific characteristics - low multiples of earnings or book value, high returns on projects and low risk - and can be traced back to Ben Graham’s books on security analysis. The second, contrarian investing, requires investing in companies that are down on their luck and in the market. The third, activist value investing, involves taking large positions in poorly managed and low valued companies and making money from turning them around. While value investing looks impressive on paper, the performance of value investors, as a whole, is no better than that of less “sensible” investors who chose other investment philosophies and strategies. We examine explanations for why "active" value investing may not provide the promised payoffs.
Asness, Frazzini: The Devil in HML's Details
Abstract: This paper challenges the standard method for measuring “value” used in academic work on factor pricing and behavioral finance. The standard method calculates book-to-price (B/P) at portfolio formation using lagged book data, aligns price data using the same lag (ignoring recent price movements), and hold these values constant until the next rebalance. We propose two simple alternatives that use timely price data while retaining the necessary lag for measuring book. We construct portfolios based on the different measures for a US sample (1950-2011) and an International sample (1983-2011). We show that B/P ratios based on timely prices better forecast true (unobservable) B/P ratios at fiscal yearend. Value portfolios based on the most timely measures earn statistically significant alphas ranging between 305 and 378 basis point per year against a 5-factor model itself containing the standard measure of value, as well as market, size, momentum and a short term reversal factor.
Israel, Moskowitz: The Role of Shorting, Firm Size, and Time on Market Anomalies
Abstract: We examine the role of shorting, firm size, and time on the profitability of size, value, and momentum strategies. We find that long positions comprise almost all of size, 60% of value, and half of momentum profits. Shorting becomes less important for momentum and more important for value as firm size decreases. The value premium decreases with firm size and is weak among the largest stocks. Momentum profits, however, exhibit no reliable relation with size. These effects are robust over 86 years of U.S. equity data and almost 40 years of data across four international equity markets and five asset classes. Variation over time and across markets of these effects is consistent with random chance. We find little evidence that size, value, and momentum returns are significantly affected by changes in trading costs or institutional and hedge fund ownership over time.
Frazzini, Israel, Moskowitz: Trading Costs of Asset Pricing Anomalies
Abstract: Using nearly a trillion dollars of live trading data from a large institutional money manager across 19 developed equity markets over the period 1998 to 2011, we measure the real-world transactions costs and price impact function facing an arbitrageur and apply them to size, value, momentum, and short-term reversal strategies. We find that actual trading costs are less than a tenth as large as, and therefore the potential scale of these strategies is more than an order of magnitude larger than, previous studies suggest. Furthermore, strategies designed to reduce transactions costs can increase net returns and capacity substantially, without incurring significant style drift. Results vary across styles, with value and momentum being more scalable than size, and short-term reversals being the most constrained by trading costs. We conclude that the main anomalies to standard asset pricing models are robust, implementable, and sizeable.
Liang: Performance of Value Investing Strategies in Japan’s Stock Market
Abstract: This white paper examines the performance of several value investing strategies based on various quantitative value measures of stocks in the Japanese stock market. These strategies significantly outperformed the aggregate stock market in the period from January 1975 to December 2011. In addition, they generated promising profits in the long-term bear market in the 1990-2011 period when the stock market dropped 62.21%.
Lakonishok, Schleifer, Vishny: Contrarian Investment Extrapolation and Risk
Abstract: For many years, scholars and investment proffesionals have argued that value strategies outperform the market. These value strategies call for buying stocks that have low prices relative to earnings, dividends, book assets, or other measures of fundamental value. While there is some agreement that value strategies produce higher returns, the interpretation of why they do so is more controversial. This article provides evidence that value strategies yield higher returns because these strategies exploit the suboptimal behavior of the typical investor and not because these strategies are fundamentally riskier.
Cakici, Tan: Size, Value, and Momentum in Developed Country Equity Returns: Macroeconomic and Liquidity Exposures
Abstract: The paper investigates value and momentum factors in 23 developed international stock markets. We find that typically value and momentum premia are smaller and more negatively correlated for large market capitalization stocks relative to small. Momentum factors are more highly correlated internationally relative to value. We provide international evidence on three sets of risk exposures of value and momentum returns: macroeconomic risk, funding liquidity risk, and stock market liquidity risk. We find that value returns are typically lower prior to a recession while momentum returns often exhibit little sensitivity. Value returns are typically lower in times of poor funding liquidity, whereas, with notable exceptions, momentum returns are typically unaffected. Lastly, for almost all countries, value returns are high in poor stock market liquidity conditions. The same result appears to be true for momentum in Asia Pacific, North America, and largely in Europe.
Jensen-Gaard: Equity Investment Styles - Recent evidence on the existence and cyclicality of investment styles
Abstract: Over the past two decades, financial academics and investment professionals have documented several anomalies on the global financial markets. A subset of these anomalies, known as equity style strategies, has been shown to yield substantial excess returns, which cannot be explained by traditional finance theory. However, in the light of the financial turmoil during the 2000s, several studies have shown considerable changes in the magnitude of the style-based strategy premiums. The purpose of this thesis is to investigate whether recent data support the continued existence of these premiums and evaluate how these premiums fluctuate in relation to the economic cycle. Furthermore, this thesis provides practical advice on how investors can apply the findings.
Hsu: Value Investing: Smart Beta vs. Style Indices
Abstract: The active shares of traditional value style indices are dominated by industry bets. They also capture less than the entire value premium because, weighting constituents on the basis of capitalization, they tend to hold large positions in overpriced stocks and small positions in underpriced (i.e., value) stocks. Smart beta strategies, in comparison, are better diversified, and they systematically buy low and sell high by periodically rebalancing to non-price related target weights. In addition to exploiting mean reversion in prices, smart beta strategies profit from mean reversion in the value premium by effectively implementing a dollar cost averaging program.
Hsu, Myers, Whitby: Timing Poorly: A Guide to Generating Poor Returns While Investing in Successful Strategies
Abstract: Value investing is viewed as a historically successful investment strategy. The literature generally agrees on the robustness of the strategy but disagrees on the explanations for the success. While the empirical research focuses exclusively on the time-series returns — or the buy-and-hold return — of a value portfolio, the investor experience is, of course, driven by the internal rate of return (IRR) — or the dollar-weighted average return. Although the buy-and-hold average portfolio return may be the proper way to document the anomaly, the dollar-weighted average return can shed light on some interesting questions which cannot be addressed by analyzing the buy-and-hold returns. In particular, examining the dollar-weighted returns allows us to ask whether investors have actually generated superior IRR consistent with the reported buy-and-hold outperformance of value strategies.
Leshem, Goldberg, Cummings: Optimizing Value
Abstract: We investigate how the choice of accounting metric and implementation affect the performance of a value strategy. We find that:- Strategies based on book-to-price (B/P) and earnings-to-price (E/P) ratios delivered a positive premium over the 60-year horizon from 1951 to 2013.- E/P had higher return and lower risk than B/P over the full horizon.- However, B/P outperformed E/P between 1963 and 1990, and that was the basis of the landmark study establishing B/P as the academic standard.- Strategies based on a blend of B/P and E/P outperformed both single-metric strategies during most 10-year periods between 1973 and 2013.- Over the same horizon, optimized value strategies had lower tracking error, lower turnover, and a higher information ratio than “rank-and-chop” strategies, which weight high-percentile value stocks by capitalization.- Sector constraints raised both the Sharpe ratio and the information ratio of an optimized blended-value strategy.
Fan, Opsal, Yu: Equity Anomalies and Idiosyncratic Risk Around the World
Abstract: In this study, we examine how idiosyncratic risk is correlated with a wide array of anomalies, including asset growth, book-to-market, investment-to-assets, momentum, net stock issues, size, and total accruals, in international equity markets. We use zero-cost trading strategy and multifactor models to show that these anomalies produce significant abnormal returns. The abnormal returns vary dramatically among different countries and between developed and emerging countries. We provide strong evidence to support the limits of arbitrage theory across countries by documenting a positive correlation between idiosyncratic risk and abnormal return. It suggests that the existence of these well-known anomalies is due to idiosyncratic risk. In addition, we find that idiosyncratic risk has less impact on abnormal return in developed countries than emerging countries. Our results support the mispricing explanation of the existence of various anomalies across global markets.
Moskowitz: Asset Pricing and Sports Betting
Abstract: I use sports betting markets as a laboratory to test behavioral theories of cross-sectional asset pricing anomalies. Two unique features of these markets provide a distinguishing test of behavioral theories: 1) the bets are completely idiosyncratic and therefore not confounded by rational theories; 2) the contracts have a known and short termination date where uncertainty is resolved that allows any mispricing to be detected. Analyzing more than a hundred thousand contracts spanning two decades across four major professional sports (NBA, NFL, MLB, and NHL), I find momentum and value effects that move betting prices from the open to the close of betting, that are then completely reversed by the game outcome. These findings are consistent with delayed overreaction theories of asset pricing. In addition, a novel implication of overreaction uncovered in sports betting markets is shown to also predict momentum and value returns in financial markets. Finally, momentum and value effects in betting markets appear smaller than in financial markets and are not large enough to overcome trading costs, limiting the ability to arbitrage them away.
Lambert, Fays, Hubner: Size and Value Matter, But Not the Way You Thought
Abstract: Fama and French factors do not reliably estimate the size and book-to-market effects. We demonstrate inconsistent pricing of those factors in the US stock market. We replace Fama and French’s independent rankings with the conditional ones introduced by Lambert and Hübner (2013). Controlling ex-ante for noise in the estimation procedure, we have been able to highlight a much stronger book-to-market and size effects than have conventionally been documented similar to Asness et al. (2015). As a significant related outcome, the alternative risk factors have been found to deliver less specification errors when used to price investment portfolios.
Qiao: Conditional Market Exposures of the Value Premium
Abstract: Value strategies exhibit a large positive beta if contemporaneous market excess returns are positive, and a small beta if contemporaneous market excess returns are negative. Value also has a large positive beta after bear markets, but a small beta after bull markets. These facts hold for equity-value strategies in 21 countries, and to a lesser extent for three non-equity-value strategies. Betas conditional on contemporaneous market returns are able to capture expected return variation associated with the book-to-market ratio. These betas partially explain the value premium, and are related to a larger cash-flow risk of value strategies.
Lambert, Hubner: Size Matters, Book Value Does Not! The Fama-French Empirical CAPM Revisited
Abstract: The Fama and French (F&F) factors do not reliably estimate the size and book-to-market effects. Our paper shows that the former has been underestimated in the US market while the latter overestimated. We do so by replacing F&F's independent rankings by the conditional ones introduced by Lambert and Hubner (2013), over which we improve the sorting procedure. This new specification better reflects the properties of the individual risk premiums. We emphasize a much stronger size effect than conventionally documented. As a major related outcome, the alternative risk factors deliver less specification errors when used to price passive investment indices.
Golubov, Konstantinidi: A Closer Look at the Value Premium: Evidence from a Multiples-Based Decomposition
Abstract: We use industry multiples-based market-to-book decomposition of Rhodes-Kropf, Robinson and Viswanathan (2005) to study the value premium. The market-to-value component drives all of the value strategy return, while the value-to-book component exhibits no return predictability in both portfolio sorts and firm-level return regressions controlling for other stock characteristics. Prior results in the literature linking value/glamor to expectational errors and limits to arbitrage hold due to the market-to-value component, whereas the results linking market-to-book to cashflow risk, exposure to investment-specific technology shocks, and analyst’s risk ratings hold only for the unpriced value-to-book. Overall, our evidence points towards the mispricing explanation for the value premium.
Kok, Ribando, Sloan: Facts About Formulaic Value Investing
Abstract: The term ‘value investing’ is increasingly being adopted by quantitative investment strategies that use ratios of simple fundamental metrics (e.g., book value, earnings) to market price. A hallmark of such strategies is that they do not involve a good faith effort to determine the intrinsic value of the underlying securities. We document two facts about such strategies. First, we see little compelling evidence that such strategies deliver superior investment performance for U.S. equities. Second, instead of identifying undervalued securities, these strategies typically identify firms with temporarily inflated accounting numbers. We argue that these strategies should not be confused with value strategies that are based on a good faith effort to determine the intrinsic value of the underlying securities.
Cakici, Tang, Yan: Do the Size, Value, and Momentum Factors Drive Stock Returns in Emerging Markets?
Abstract: This paper investigates the size, value and momentum effects in 18 emerging stock markets during the period 1990−2013. We find that size and momentum strategies generally fail to generate superior returns in emerging markets. The value effect exists in all markets except Brazil, and it is robust to different periods and market conditions. Value premiums tend to move positively together across different markets, and such inter-market co-movements increase overtime and during the global financial crisis.
de Carvalho, Xiao, Soupe, Dugnolle: Diversify and Purify Factor Premiums in Equity Markets
Abstract: In this paper we consider the question of how to improve the efficacy of strategies designed to capture factor premiums in equity markets and, in particular, from the value, quality, low risk and momentum factors. We consider a number of portfolio construction approaches designed to capture factor premiums with the appropriate levels of risk controls aiming at increasing information ratios. We show that information ratios can be increased by targeting constant volatility over time, hedging market beta and hedging exposures to the size factor, i.e. neutralizing biases in the market capitalization of stocks used in factor strategies. With regards to the neutralization of sector exposures, we find this to be of importance in particular for the value and low risk factors. Finally, we look at the added value of shorting stocks in factor strategies. We find that with few exceptions the contributions to performance from the short leg are inferior to those from the long leg. Thus, long-only strategies can be efficient alternatives to capture these factor premiums. Finally, we find that factor premiums tend to have fatter tails than what could be expected from a Gaussian distribution of returns, but that skewness is not significantly negative in most cases.
Folkinshteyn, Meric, Meric: Value and Growth Stock Price Behavior During Stock Market Declines
Abstract: Using data for five major stock market declines during the 1987-2008 period, this paper provides evidence that value stocks are generally less sensitive to major stock market declines than growth stocks, controlling for beta, firm size, and industry group. Further analysis using several hundred different significant market move events between 1980 and 2015 confirms the observation that value stocks tend to outperform both the market average and growth stocks during market declines. The implication for investment practitioners is that following a value strategy does not lead one to assume greater sensitivity to unfavorable market conditions.
Herskovic, Kind, Kung: Size Premium Waves
Abstract: This paper examines the link between microeconomic uncertainty and the size premium across different frequencies in an investment model with heterogeneous firms. We document that the observed time-varying dispersion in firm-specific productivity can account for a large size premium in the 1960's and 1970's, the disappearance in the 1980's and 1990's, and reemergence in the 2000's. Periods with a large (small) size premium coincide with high (low) microeconomic uncertainty. During episodes of high productivity dispersion, small firms increase their exposure to macroeconomic risks. Our model can also explain the strong positive low-frequency co-movement between size and value factors, but a negative relation with the market factor.
Zhou: Can Cash-Flow Beta Explain the Value Premium?
Abstract: It is well documented that the cash flow beta can partly explain the source of the value premium. This paper presents an empirical test that cast doubt on this widely accepted belief. We double sort the stocks with their value and quality dimension and obtain four corner portfolios: (A) expensive quality, (B) cheap junk, (C) cheap quality and (D) expensive junk stocks. Prior research has shown that the value premium concentrates on cheap quality minus expensive junk (i.e. undervalued minus overvalued) but is not significant in cheap junk minus expensive quality stocks. If cash-flow beta is the source of the value premium, we would expect a larger cash-flow beta difference between the cheap quality and expensive junk portfolio. However, our empirical test shows that β_CF ((B) cheap junk) - β_CF ((A) expensive quality) >>β_CF ((C) cheap quality)-β_CF ((D) expensive junk). In other words, B minus A does not contribute to the profit of the value premium but contribute most to the difference of the cash flow beta between value and growth portfolios. Therefore, our result may serve as evidence that the cash flow beta may only spuriously explain the value premium. Or, at least, the cash-flow risk premium estimated in the portfolio regression approach is biased.
Huang, Song, Xiang: Fragile Factor Premia
Abstract: We demonstrate that returns and volatilities of the Fama-French size and value factors are significantly determined by non-fundamental flow-induced trading from actively managed equity mutual funds. Mutual fund flows are largely ignorant about systematic risks. These non-fundamental shifts in demand induce large return heterogeneity within and across the Fama-French size and book-to-market portfolios. We show that aggregate mutual fund flow- induced trades across the size and book-to-market spectrum significantly influence the size and value premia, followed by large subsequent reversals. We also find that the expected volatilities of mutual funds’ flow-induced trades strongly predict future factor volatilities. Our results highlight the importance of non-fundamental demand shocks in determining factor premia and factor volatilities.
Ilmanen, Israel, Moskowitz, Thapar, Wang: Factor Premia and Factor Timing: A Century of Evidence
Abstract: We examine four prominent factor premia - value, momentum, carry, and defensive - over a century from six asset classes. First, we verify their existence with a mass of out-of-sample evidence across time and asset markets. We find a 30% drop in estimated premia out of sample, which we show is more likely due to overfitting than informed trading. Second, probing for potential underlying sources of the premia, we find little reliable relation to macroeconomic risks, liquidity, sentiment, or crash risks, despite adding five decades of global economic events. Finally, we find significant time-variation in factor premia that are mildly predictable when imposing theoretical restrictions on timing models. However, significant profitability eludes a host of timing strategies once proper data lags and transactions costs are accounted for. The results offer support for time-varying risk premia models with important implications for theory seeking to explain the sources of factor returns.
Lev, Srivastava: Explaining the Demise of Value Investing
Abstract: The business press claims that the long-standing and highly popular value investing strategy—investing in low-valued stocks and selling short high-valued equities—lost its edge since 2007. The reasons for this putative sudden demise of value investing elude investors and academics, making it a challenge to assess the likelihood of the return of value investing to its days of glory. Based on extensive data analysis we show that the strategy has, in fact, been unprofitable for almost 30 years, barring a brief resurrection following dotcom bust. We identify two major reasons for the demise of value: (1) accounting deficiencies causing systematic misidentification of value, and particularly of glamour (growth) stocks, and (2) fundamental economic developments which slowed down significantly the reshuffling of value and glamour stocks which drove the erstwhile gains from the value strategy. We end up by speculating on the likelihood of the resurgence of value investing, which seems low.
Dong: Risk or Mispricing? Cross-Country Evidence on the Cross-Section of Stock Returns
Abstract: Using a novel collection of market characteristics from 40 countries, this paper test competing explanations behind five major anomalies classified in Hou, Xue, and Zhang (2015): momentum, value-growth, investment, profitability, and trading frictions. Results show that anomaly returns highly correlate with proxies for market efficiency, investor protection, limits-to-arbitrage, and investor irrationality. New to existing studies, results favor a limits-to-arbitrage explanation for momentum effect, and a mispricing explanation for value-growth and investment effects. Results also suggest that profitability effect may be a result of both rational risk pricing and market inefficiency while remain silent on the cause of trading frictions effect. These findings have new implications on return predictability in both U.S. and international markets.
Tokat-Acikel, Aiolfi, Jin: Multi-Asset Value Payoff: Is Recent Underperformance Cyclical?
Abstract: Value is one of the most studied risk premia strategies across asset classes. Value factors, however, have struggled lately. To uncover the drivers of recent value factor underperformance, it is important to understand how value returns are affected by macroeconomic conditions. We build on the existing literature by directly measuring the macroeconomic characteristics of value factor portfolios, namely real economic growth and inflation exposures. By pairing methodologies commonly used to derive fundamental characteristics of equity portfolios, we are able to identify macro linkages that have not been previously made evident. Our holdings-based and factor-mimicking portfolio analyses provide insights into the behavior of value strategies across various asset classes, looking at both cyclical and idiosyncratic drivers.
Arnott, Harvey, Kalesnik, Linnainmaa: Reports of Value’s Death May Be Greatly Exaggerated
Abstract: Value investing has underperformed growth investing for over 12 years with a -39.1% drawdown from peak to trough using the classic Fama-French definition of the value factor. The second-longest duration of underperformance occurred during the tech bubble, and while deeper than the recent drawdown, lasted less than 4 years. As a result, many now argue, relying on a variety of narratives, that the value investing style is no longer viable. We examine some of these narratives and find them wanting. We use a bootstrap analysis to show that the likelihood (given the historical data) of observing such a large drawdown is about 1 in 20—unusual but not enough to support structural impairment. We then decompose the value–growth performance into three components: the migration of securities, a profit differential, and the change in a valuation spread. Our analysis of pre- and post-2007 data reveal no significant difference between the migration of stocks (from value to neutral or growth or from growth to neutral or value) in the two periods nor do we observe a difference in profitability. The drawdown is explained by the third component: value has become unusually cheap relative to growth with the valuation now in the 97th percentile of the historical distribution. We show that, even accounting for intangibles, which have eroded the relevance of book value, the drawdown is explained by value becoming exceptionally relatively cheap. Even given the noisy nature of returns, expected returns are always elevated when in the extreme lower tail of a distribution.
Fama, French: The Value Premium
Abstract: Value premiums, which we define as value portfolio returns in excess of market portfolio returns, are on average much lower in the second half of the July 1963-June 2019 period. But the high volatility of monthly premiums prevents us from rejecting the hypothesis that expected premiums are the same in both halves of the sample. Regressions that forecast value premiums with book-to-market ratios in excess of market (BM-BM_M) produce more reliable evidence of second-half declines in expected value premiums, but only if we assume the regression coefficients are constant during the sample period.
Israel, Laursen, Richardson: Is (Systematic) Value Investing Dead?
Abstract: Value investing is the age-old investment strategy that involves buying securities that appear cheap relative to some fundamental anchor. For equity investors that anchor is typically a measure of intrinsic value linked to financial statement variables. Recently, there has been much written about the death of value investing. While undoubtedly many systematic approaches to value investing have suffered recently, we find the suggestion that value investing is dead to be premature. Both from a theoretical and empirical perspective, expectations of fundamental information have been and continue to be an important driver of security returns. We also address a series of critiques levelled at value investing and find them generally lacking in substance.
Blitz, Baltussen, van Vliet: When Equity Factors Drop Their Shorts
Abstract: This paper makes a breakdown of common Fama-French style equity factor portfolios into their long and short legs. We find that factor premiums originate in both legs, but that (i) most added value tends to come from the long legs, (ii) the long legs of factors offer more diversification than the short legs, and (iii) the performance of the shorts is generally subsumed by the longs. These results hold across large and small caps, are robust over time, carry over to international equity markets, and cannot be attributed to differences in tail risk. Portfolio tests suggest that the short legs are of limited value to most investors, while the long legs in small caps are most attractive. We also examine recent claims that the value and low-risk factors are subsumed by the new Fama-French factors, and find that this does not hold for the long legs of these factors. Altogether, our findings show that decomposing canonical factors into their long and short legs is crucial for understanding factor premiums and building efficient factor portfolios.
Maloney, Thomas and Moskowitz, Tobias J.: Value and Interest Rates: Are Rates to Blame for Value’s Torments? https://ssrn.com/abstract=3608155
Abstract: Value stocks sharply underperformed growth stocks from 2017 to early 2020, exacerbating a longer period of lackluster performance that dates back to the Global Financial Crisis for some value factors. Some have blamed the interest rate environment – the low level of interest rates, falling bond yields or the flattening yield curve. We examine these claims. Theory suggests the link between value and interest rates is ambiguous and complicated. Empirically, we find fairly modest links that change for different specifications. Evidence of a mild relationship between interest rate variables and value’s performance is found for some specifications, but not others. Despite some eye-catching patterns in recent data, particularly those related to changes in bond yields or the yield curve slope, the economic significance of any relationship is small and not robust in other samples. We conclude that the performance of value is not easily assessed based on the interest rate environment, and that factor timing strategies based on interest rate-related signals are likely to perform poorly.
Wakil, Gulraze, Levels of Total Book Assets and Future Stock Returns: Risk or Mispricing?
Abstract: This study investigates whether increases in future stock returns related to levels of total book assets (TBA), after controlling for market value (MV), are due to risk or stock mispricing. Based on a 30 year sample from 1987 to 2016, the findings reveal statistically significant average annual abnormal returns in the range of 5.5 and 10 percent using the Carhart (1997) four-factor model when going from the lowest to the highest TBA quintile portfolio, after sorting stocks into market value quintiles. Abnormal portfolio returns are even higher in the latter seven years of the sample period. These abnormal portfolio returns are supported by firm-level pooled regressions that include a battery of control variables known to be related to future stock returns. Moreover, these abnormal returns are not related to the accruals or asset growth anomalies. However, the evidence lends support to the behavioral explanation of investors not fully incorporating current investments and prior poor performance of firms into stock prices. Taken together, these findings suggest potentially significant abnormal returns for investors and provide support for standard setters who want more fair values in accounting assets.
Stagnol, Lauren and Lopez, Christian and Roncalli, Thierry and Taillardat, Bruno: Understanding the Performance of the Equity Value Factor
Abstract: After decades of sound performance, doubts have been raised on the ability of the equity value factor to continue to deliver a positive performance in the aftermath of the 2008 Global Financial Crisis. Indeed, in a context dominated by low yields, sluggish growth and subdued inflation combined with an accelerating digitalization of the economy, the performance of value strategies struggled over the past decade. In this paper, we investigate potential drivers behind this performance lag, such as macroeconomic and microeconomic determinants, ESG characteristics or credit-borrowed components. Based on European and American data, we find that inflation and tightening credit spread levels are the most supportive factors for value stocks. As far as interest rates are concerned, their sustained low levels prevented the value stock universe from clearing its most distressed issuers, also known as "deep value", and thus dampened value performance. As a matter of fact, we show that value has not been systematically an investment strategy bearing a heightened default risk. Our ESG analysis corroborates the "transatlantic divide", the historical gap between the U.S. and Europe on this front, and shows that value and growth stocks are not necessarily all brown and green stocks. In addition, we demonstrate that the small cap segment has not been the magical cure to value underperformance. Finally, we conclude that value is not dead yet, and might even have bright days ahead considering the current improvements in market sentiment, especially if inflation does materialize. Nevertheless, we also emphasize that the current value risk factor is probably different in nature from the one we observed during the golden age of value investing at the beginning of the 2000s. Indeed, trading facilities, ease of access to fundamental data for a large number of investors, ESG investing and the digitalization of the economy may have changed the rules of the game.
Shea, Yifei and Radatz, Erhard: Searching for Inner Peace with Value Factors
Abstract: Value factors have always been an essential part of quantitative investing processes. We show that the deterioration in performance of value stocks, as defined by high book-to-price (B/P) ratios, comes as no surprise given their relatively poor fundamentals as well as slower mean reversion of profitability. The opposite has been observed for low B/P “glamour” stocks. Value defined by high earnings yield (E/P) has also suffered from deteriorating performance despite being fundamentally different from value characterized by a high B/P.
Dugar, Amitabh and Pozharny, Jacob: Equity Investing in the Age of Intangibles
Abstract: Expenditures on creation of intangible capital have increased but accounting standards have not kept pace. We investigate whether this has affected the value relevance of book value and earnings. We construct a composite measure of intangible intensity based on intangible assets capitalized on the balance sheet, research and development expenditures, and sales, general & administrative expenditures to classify industries by intangible intensity. We show that the value relevance of book value and earnings has declined for high intangible intensity companies in USA and abroad, but for the low intangible intensity group it has remained stable in USA and increased internationally.
McQuarrie, Edward F.: Do Factor Strategies Beat the Market? Sometimes Yes. Sometimes No
Abstract: Following two decades of skepticism and doubt, combined with worries about a replication crisis in finance, factors such as size and value have re-emerged as statistically robust effects, verified by multiple author teams using larger and more comprehensive datasets than heretofore available. Historical evidence simultaneously shows that even well-attested factors, when implemented as long-only portfolios in the world, have repeatedly underperformed the market for periods lasting a decade or more. This paper counterposes the historical and statistical evidence and suggests an integration.