What do the Fama–French factors add to C-CAPM?

This study extends standard C-CAPM by including two additional factors related to firm size (SMB) and book-to-market value ratio (HML) — the Fama–French factors. C-CAPM is least able to price firms with low book-to-market ratios. The explanation of these returns, as well as the returns on the SMB and HML portfolios, is significantly improved by the inclusion of the HML factor. The component of the risk premia explained by consumption varies across size. We suggest that a possible explanation for the role of HML is its association with the investment growth prospects of firms.     

Tracking down distress risk

This paper shows that exposure to aggregate distress risk is the underlying source of the premiums for the Fama-French size (SMB) and value (HML) factors. Using a unique data set of aggregate business failures of both private and public firms from 1926 to 1997, I build portfolios that track news about future firm failures. These tracking portfolios optimally hedge aggregate distress risk and earn a Capital Asset Pricing Model (CAPM) alpha of approximately −4% a year. Both HML and SMB predict changes in future failure rates. Small stocks have lower returns than large stocks and value stocks have lower returns than growth stocks when the market expects an increase in future failure rates. Finally, a two-factor model with the market and the tracking portfolio for aggregate distress as factors does as well as the Fama-French three-factor model in pricing the 25 size and book-to-market sorted portfolios.     

On the differences in measuring SMB and HML in the UK – Do they matter?

The Fama–French (FF) three factor model expands the capital asset pricing model (CAPM) to include two additional factors to the market factor – SMB, employed to capture a firm size effect in returns and HML employed to capture book-to-market effects in returns. In the UK, different researchers use different ways of calculating SMB and HML in the context of empirical applications of the three factor model, or extensions of it, perhaps because they believe the differences in the construction of the SMB and HML factors to be relatively unimportant from an empirical standpoint. We investigate whether indeed factor construction methods are unimportant. Our conclusion is that they do matter.     

Risk,Mispricing, and Value Investing

We evaluate the stock return performance of a modified version of the book-to-market strategy and its implications for market efficiency. If the previously documented superior stock return of the book-to-market strategy represents mispricing, its performance should be improved by excluding fairly valued firms with extreme book-to-market ratios. To attain this, we classify stocks as value or glamour on book-to-market ratios and accounting accruals jointly. This joint classification is likely to exclude stocks with extreme book-to-market ratios due to mismeasured accounting book values reflecting limitations underlying the accounting system. Using both 12-month buy-and-hold returns and earnings announcement returns, our results show that this joint classification generates substantially higher portfolio returns in the post-portfolio-formation year than the book-to-market classification alone with no evidence of increased risk. In addition, this superior stock return performance is more pronounced among firms held primarily by small (unsophisticated) investors and followed less closely by market participants (stock price <$10). Finally, and most importantly, financial analysts are overly optimistic (pessimistic) about earnings of glamour (value) stock, and for a subset of firms identified as overvalued by our strategy, the earnings announcement raw return, as well as abnormal return, is negative. These last results are particularly important because it is hard to envision a model consistent with rational investors holding risky stocks with predictable negative raw returns for a long period of time rather than holding fT-bills and with financial analysts systematically overestimating the earnings of these stocks while underestimating earnings of stocks that outperform the stock market.     

THE RELATION AMONG DIVIDEND POLICY,FIRM SIZE,AND THE INFORMATION CONTENT OF EARNINGS ANNOUNCEMENTS

In this paper we investigate the role of dividends in explaining the size effect. The previous literature concludes that before the firm's earnings announcement, small firm stock prices impound less information than large firm stock prices. This size effect is evidenced by the greater market reaction to small firm earnings announcements than to large firm earnings announcements. We find that if the dividend announcement precedes the earnings announcement, no size effect exists. The implication is that the information conveyed by dividend announcements includes the information conveyed to investors in large firms by other information sources. However, if the firm does not pay dividends or if the firm's earnings announcement precedes its dividend announcement, the size effect exists. The implication is that dividends do not completely explain the size effect. That is, there are information sources other than dividends that are exclusively available to investors in large firms, and the information provided by these sources is reflected in the stock price of large firms before the earnings announcement.     

Do industries contain predictive information for the Fama–French factors?

We examine whether the returns of US industry portfolios predict the returns and volatility of Fama and French's small-minus-big (SMB) and high-minus-low (HML) factors. The analysis reveals that all 30 industry returns strongly forecast one-month-ahead SMB factor returns. Moreover, a significant number of industry returns predict the volatility of the SMB and HML factors by up to two or three months. These findings suggest that US industry returns contain profitable information on Fama–French SMB and HML factors, and since most investors cannot extract the profitable information contained in industry returns in a timely manner, this information gradually diffuses in equity markets.     

Information Uncertainty,Earnings Management,and Long‐run Stock Performance Following Initial Public Offerings

We examine how information uncertainty surrounding IPO (initial public offering) firms influences earnings management and long‐run stock performance. For low‐information‐uncertainty issuers, at‐issue earnings’ management is positively related to subsequent unmanaged earnings and has no relationship to market reaction to earnings announcement and long‐run stock performance following the offering. For high‐information‐uncertainty issuers, however, at‐issue earnings’ management is unrelated to subsequent unmanaged earnings and negatively related to market reaction to earnings announcement and long‐run stock performance following the offer. The evidence suggests that, on average, managers in low‐information‐uncertainty firms tend to engage in earnings’ management for informative purposes, while managers in high‐information‐uncertainty firms engage in earnings’ management for opportunistic purposes.     

Do zero-cost portfolios have the ability to predict economic growth? Evidence from Hong Kong, South Korea and Taiwan

In this paper we investigate the relationship between growth in future Gross Domestic Product (GDP) and Industrial Production (IDP) and the performance of SMB (small stocks minus big stocks) and HML (High book-to-market stocks minus low book-to-market stocks) portfolios for equities listed in Hong Kong, South Korea and Taiwan.We find evidence to suggest that: (a) the excess market return is positively related to future GDP or IDP growth in South Korea and Taiwan; (b) contrary to most European markets, Australia, Japan and the US, future economic growth is in general significantly negatively related to SMB in Hong Kong and South Korea; and, (c) a negative relationship between future economic growth and HML for Hong Kong. Our results cast doubt if SMB and HML portfolios are positive risk factors in the Fama and French (Fama, E. F., and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3-56) three-factor asset pricing model for Hong Kong, South Korea and Taiwan.     

Accounting quality,information risk and the term structure of implied volatility around earnings announcements

We examine the association between accounting quality, which is used as a proxy for firm information risk, and the behavior of the term structure of implied option volatility around earnings announcements. By employing a large sample of US firms having options traded on their equity during 1996–2010, we find that lower (higher) accounting quality is significantly associated with stronger (weaker) changes in the steepness of the term structure of implied volatility curve around quarterly earnings announcements. This finding (which is robust to controls for business-stemming uncertainty regarding future firm performance) is consistent with a stronger differential of short vs. long-term uncertainty for higher information risk firms, indicating greater uncertainty on the future economic performance of poorer vs. stronger accounting quality firms. We also establish the trading implications of these findings by demonstrating a (profitable in-sample) self-financed option trading strategy that is based on the quality of the accounting information released on earnings announcement days.     

The informativeness of pro forma and street earnings: an examination of information asymmetry around earnings announcements

Using adverse-selection cost as a proxy for information asymmetry, we find evidence that non-GAAP earnings numbers issued by management (pro forma earnings) and analysts (street earnings) improve price discovery. First, information asymmetry before an earnings announcement is positively associated with the probability of a non-GAAP earnings number at the forthcoming earnings announcement. Second, the post-announcement reduction in information asymmetry is greater when managers or analysts issue non-GAAP earnings at the earnings announcement and when the magnitude of the non-GAAP earnings adjustment is larger. Our results suggest that earnings adjustments by analysts and managers increase the amount and precision of earnings information and help to narrow information asymmetry between informed and uninformed traders following earnings announcements. Alternatively, the findings may be attributable to characteristics of non-GAAP firms and overall better reporting quality for those firms rather than non-GAAP earnings disclosure per se.     

Does voluntary balance sheet disclosure mitigate post-earnings-announcement drift?

Theory suggests that balance sheet information such as total assets, total equity, or total liabilities complements earnings information in helping investors assess a firm’s profitability and estimate earnings growth. The voluntary disclosure of balance sheet information at earnings announcement could help investors gather and process this information at a lower cost. We therefore predict that voluntary balance sheet disclosure at the time of an earnings announcement helps investors promptly understand the implication of current earnings news for future earnings and subsequently reduces post-earnings-announcement drift (PEAD). Consistent with these predictions, our results show that when firms provide voluntary balance sheet disclosures, the earnings response coefficient in the event window is significantly higher and the corresponding PEAD is significantly lower. We further find that the impact of voluntary balance sheet disclosure on PEAD is more pronounced when the magnitude of balance sheet value surprise is larger, when balance sheet value is more informative about future earnings, when earnings uncertainty is higher, or when information cost is higher, consistent with our conjectures that helping investors to better understand future earnings performance and lowering information costs are key mechanisms underlying the effect of voluntary balance sheet disclosure on PEAD.     

Stock Dividends,Stock Splits,and Signaling

This paper provides evidence that firms signal their private information about future earnings by their choice of split factor. Split factors are increasing in earnings forecast errors, after controlling for differences in pre-split price and firm size. Furthermore, price changes at stock dividend and split announcements are significantly correlated with split factors, holding other factors constant, and with earnings forecast errors. These correlations suggest that management's choice of split factor signals private information about future earnings and that investors revise their beliefs about firm value accordingly. The analysis also suggests, however, that announcement returns are significantly correlated with split factors after controlling for earnings forecast errors. This suggests that earnings forecast errors measure management's private information about future earnings with error, that split factors signal other valuation-relevant attributes, or that a signaling explanation is incomplete.     

Unsophisticated Arbitrageurs and Market Efficiency: Overreacting to a History of Underreaction?

Prior research has documented that arbitrage activity significantly reduces or eliminates stock market anomalies. However, if anomalies arise due to unsophisticated investors’ behavioral biases, then these same biases can also apply to unsophisticated arbitrageurs and thereby disrupt the arbitrage process. Consistent with a disruption in the arbitrage process for the post‐earnings announcement drift anomaly, I document that the historically positive autocorrelation in firms’ earnings announcement news has become significantly negative for firms with active exchange‐traded options. For these easy‐to‐arbitrage firms, the firms in the highest decile of prior earnings announcement abnormal return (prior earnings surprise), on average, underperform the firms in the lowest decile by 1.59% (1.43%) at their next earnings announcement. Additional analyses are consistent with investors learning about the post‐earnings announcement drift anomaly and overcompensating. This study suggests that unsophisticated attempts to profit from a well‐known anomaly can significantly reverse a previously documented stock return pattern.     

Common Stock Offerings and Earnings Expectations: A Test of the Release of Unfavorable Information

This paper examines the revisions of analysts' forecasts of future earnings around announcements of common stock offerings. The forecasts of the current year earnings are, on average, decreased when firms announce plans to issue additional common stock. The size of the decrease is significantly related to announcement period abnormal stock returns. In contrast, forecasts of the five-year growth rate of earnings are, on average, unchanged. We interpret these results as being consistent with the claim that equity offering announcements convey unfavorable information regarding the firm's short-term but not its long-term earnings prospects.     

Higher-Order Systematic Comoments and Asset Pricing: New Evidence

We provide evidence supporting Rubinstein's (1973) model that if returns are not normal, measuring risk requires more than just measuring covariance. Higher-order systematic comoments should be important to risk-averse investors who are concerned about the extreme outcomes of their investments. Our paper shows that the Fama-French factors [SMB (return on small stocks less the return on big stocks), HML (return on high book-to-market stocks less the return on low book-to-market stocks)] as well as the momentum and market liquidity factors can be explained by the higher-order systematic comoments, and it lends support to the traditional covariance risk-based theory without having to resort to behavior assumptions.     

An economic analysis of leasebacks

Leaseback decisions by firms involve the simultaneous sale of an asset and a lease agreement with the new owner. Examination of 64 leaseback decisions made by firms during 1979–1987 reveals a significant negative announcement effect. We present a theoretical framework in which all firms prefer to leaseback when there is symmetric information. When there is asymmetry of information between the manager and the market, however, firms with favorable prospects prefer to own the asset. Firms with poor prospects choose to leaseback and capture the associated depreciation tax shield through the sale. Our empirical results indicate that, besides the significant negative announcement effect, firms proposing a leaseback earn negative returns in the three months prior to the announcement. We monitor the performance of these firms for five years after the leaseback decision and compare it to five years before the announcement. There is a significant drop in operating performance as indicated by several key variables such as operating earnings before depreciation and pretax earnings. This is consistent with the hypothesis that firms choose to leaseback when faced with unfavorable future prospects. I would like to thank S.P. Kothari, Cheng-few Lee, Scott Linn, Mike Rozeff, Ramasastry Ambarisha, and an anonymous referee for their comments and suggestions. The usual disclaimer applies.     

Effects of early bond refundings: An empirical investigation of security returns

This paper examines bond-for-bond refundings and their effects on stock returns. Refundings can affect the reported income, cash flows (including taxes), dividend constraints and financial ratios of firms. For a sample of 36 NYSE and ASE firms that performed refundings between 1971 and 1980, stock returns were significantly higher than predicted (only) around the release of the quarterly earnings announcement that included the refunding's effects. While the refundings were found to have many characteristics that were hypothesized to benefit shareholders, only the change in earnings per share was found to be associated with the prediction errors. Further, there appears to be no refunding-related information released in the quarterly earnings announcement, except for the refunding gain. These results imply that a portfolio of refunding firms can be created in advance of the quarterly earnings announcement that will generate abnormal returns around the earnings announcement. Because trading rules are inconsistent with the concept of an efficient capital market, these results constitute an anomaly.     

Do stock splits signal future profitability?

This study examines whether stock split announcements contain information content about future profitability, measured in terms of future earnings change, future earnings, or future abnormal earnings. We find that the split announcement year has the highest earnings change and the earnings change declines substantially over the subsequent five years. Our empirical results show little evidence that stock splits are positively related to future profitability. In fact, stock splits are in general negatively related to future profitability in subsequent years after the announcement, except for dividend-paying firms with a split factor less than 0.5. This negative relation holds regardless of future profitability measure. Therefore, our empirical finding suggests that stock splits are not useful signals of a firm’s future earnings prospects. JEL Classification G30     

Beating market expectations and the pricing of firms’ probability of default

This study explores the impact of beating analysts' forecasts on investors' perceptions about firms' default probability. The information contained in analysts’ forecasts, both earnings and revenues, provides additional information to investors in pricing CDSs. While previous research has focused on the impact of beating analysts’ earnings forecasts, this study shows that firms that beat analysts' revenue forecasts also experience, on average, a decrease in the CDS premium around the earnings announcement date. This study also documents that the effect is stronger when firms beat/miss both earnings and revenue forecasts. When firms beat (miss) earnings and miss (beat) revenues, the effect of earnings is the dominant signal. These effects are stronger for firms with high levels of default risk.     

The impact of regulation Fair Disclosure on investors' prior information quality — Evidence from an analysis of changes in trading volume and stock price reactions to earnings announcements

We document that Regulation Fair Disclosure has reduced differences in information quality between investors prior to quarterly earnings announcements consistent with the intent of the regulation. This reduction is driven by small firms and high technology firms, rather than the large firms targeted by the SEC, which suggests that selective disclosure among large firms may have been much more limited than what was presumed by proponents of FD. In addition, we document that FD has decreased the average information quality of investors in small and high technology firms in the period prior to an earnings announcement while having no lasting effect on other firms. Taken together these two results suggest that, for small and high technology firms, FD succeeded in eliminating selective disclosure but also lowered the average quality of information available about these firms.