Is China's P/E ratio too low? Examining the role of earnings volatility

We find that China's P/E ratio is comparable to that of the U.S. S&P 1500 index, a broad based index covering large, middle, and small capitalization firms. We provide an explanation as to why China's seemingly low P/E ratio is not surprising in light of the economic growth that it has experienced. Specifically, we show that (i) the P/E ratio is negatively associated with earnings volatility in both the Chinese and U.S. stock markets with an economically significant magnitude; and (ii) historical earnings volatility is considerably higher in China than in the U.S. Higher earnings volatility in China offsets higher growth prospect in setting the P/E ratio, making its P/E ratio much closer to what is observed empirically than otherwise implied by its growth rate.     

The forward E/P ratio and earnings growth

Valuation theories predict a negative relation between the earnings-to-price (E/P) ratio and future earnings growth, but prior studies have produced conflicting results. Using a growth measure that incorporates loss firms, this paper shows that the negative relation exists in the long term, but not in the short term. The results also show a U-shaped relation between the forward E/P ratio and earnings risk. Compared with high forward E/P firms which are inherently financially distressed, low forward E/P firms exhibit even higher incidence of loss and larger growth volatility in subsequent years. The wide distribution of earnings growth in the lowest forward E/P portfolio indicates that this portfolio includes not only star firms that generate the strongest earnings growth, but also firms that report the most negative earnings growth. This paper shows that the forward E/P ratio is a stronger predictor of future growth than the conventionally used trailing E/P ratio.     

The earnings announcement premium around the globe

U.S. stocks have been shown to earn higher returns during earnings announcement months than during non-announcement months. We document that this earnings announcement premium exists across the globe. Moreover, it is not isolated to a few countries. Of the 20 countries with enough data to conduct a within-country analysis, nine exhibit a significantly positive premium. A cross-country analysis finds that the premium is strongest in countries with the greatest increase in idiosyncratic volatility around the time of their firms' earnings announcements, suggesting that uncertainty over the earnings information to be disclosed is a primary driver of the global announcement premium.     

BE/ME and E/P work better than ME/BE or P/E in regressions

Researchers often form ratios of variables to measure firm characteristics, but which ratios create the most powerful tests? For example, if we use ratios of book value of equity (BE) and market value of equity (ME), or earnings (E) and price (P), does it matter which variable appears in the denominator? Any variable in the denominator, when close to zero, creates outliers and is less likely to produce effective tests. Our tests, using data from 1972 to 2008, indicate the choice between reciprocals often produces significantly different outcomes. While ME/BE is a more commonly used control variable than BE/ME or LN(BE/ME), we find the latter two produce better results, even if the data are trimmed to mitigate the outlier problem. Similarly, using E/P generally produces better results than P/E, and while ratios with book value of assets (BA) in the numerator work better than those with it in the denominator, the difference is less pronounced than when BE or E is part of the ratio. While the focus of our empirical findings is on growth measures, the principal applies anytime a ratio has a denominator that is frequently near zero.     

Return on capital analysis: U.S.-based multinational corporations versus U.S. domestic corporations

We study the difference between U.S.-based multinational corporations (MNCs) and U.S. domestic corporations (DCs) in terms of management efficiency with return on capital as the measure of management efficiency. We use a fixed effect model to account for heterogeneity and/or the time-specific effect and find that MNCs have lower management efficiency than DCs, which holds after we control for the effects of firm size, GDP growth rate, and growth opportunity on management efficiency. One reason for the low efficiency is the MNCs’ inability to manage their assets well relative to DCs. We also find that there is an inverted U-shaped relationship between return on capital and degree of internationalization, which implies an optimal degree of internationalization. Our result does not confirm the recently proposed three-stage model.     

Product Mix and Earnings Volatility at Commercial Banks: Evidence from a Degree of Total Leverage Model

We construct a degree-of-total-leverage framework to test whether and how shifts in product mix affect earnings volatility at 472 U.S. commercial banks between 1988 and 1995. Our framework, which accounts for cost and revenue synergies not captured in most previous studies, conceptually links earnings volatility to revenue volatility, expense fixity, and product mix. We find that replacing traditional lending activities with fee-based activities—an ongoing trend that may be strengthened by recent financial modernization—is associated with both higher revenue volatility and higher total leverage, which in this framework implies higher earnings volatility. Journal of Economic Literature Classification Numbers: G21, G32, D24.     

Dividend signaling under economic adversity: Evidence from the London Stock Exchange

The signaling or information content hypothesis is amongst the most prominent theories attempting to explain dividend policy decisions. However, no research has, to date, examined the information content of dividends in conjunction with generalized economic adversity. With the majority of the western economies facing the tough reality of the economic recession since late 2007–early 2008, we focus on the possibility of asymmetrical dividend signaling effects between periods of stability and economic adversity. Using data from the London Stock Exchange (LSE), where earnings and dividend news are released simultaneously, we test the dividend signaling hypothesis and the interaction of earnings and dividends under both steady and adverse economic conditions. We document positive and significant average abnormal stock price returns around the dividend/earnings announcements. We also find a significant interaction between economic conditions and the information content of dividends. After testing the dividend signaling hypothesis under both stable and recessionary economic conditions we find that dividends have less information content than earnings in periods of growth and stability, but more in periods of economic adversity.     

Industry Signals Relayed by Corporate Earnings Restatements

This study finds that downward earnings restatements are associated with negative industry valuation effects. These effects are more pronounced when the valuation effects and the change in earnings of the firm restating its earnings are worse, when the restatement is initiated for reasons other than fraud, when the bubble was bursting, and when the restatement is subsequent to the publicity regarding Enron's fraud. The negative industry effects are more pronounced in industries that have a higher level of accruals and intangible assets, weaker sales growth, and a higher degree of stock volatility.     

The economic consequences of increased disclosure: Evidence from international cross-listings

We examine market behavior around earnings announcements to understand the consequences of the increased disclosure that non-U.S. firms face when listing shares in the U.S. We find that absolute return and volume reactions to earnings announcements typically increase significantly once a company cross-lists in the U.S. Furthermore, these increases are greatest for firms from developed countries and for firms that pursue over-the-counter listings or private placements, which do not have stringent disclosure requirements. Additional tests support the hypothesis that it is changes in the individual firm's disclosure environment, rather than changes in its market liquidity, ownership, or trading venue, that explain our findings.     

Is unlevered firm volatility asymmetric?

Asymmetric volatility refers to the stylized fact that stock volatility is negatively correlated to stock returns. Traditionally, this phenomenon has been explained by the financial leverage effect. This explanation has recently been challenged in favor of a risk premium based explanation. We develop a new, unlevering approach to document how well financial leverage, rather than size, beta, book-to-market, or operating leverage, explains volatility asymmetry on a firm-by-firm basis. Our results reveal that, at the firm level, financial leverage explains much of the volatility asymmetry. This result is robust to different unlevering methodologies, samples, and measurement intervals. However, we find that financial leverage does not explain index-level volatility asymmetry. We show that this difference between index-level asymmetry and firm-level asymmetry is driven by the asymmetry of the unlevered covariance component of index volatility.     

Cyclical Changes in Firm Volatility

We characterize trends and cycles in the volatility of U.S. firms using a measure that we argue more cleanly captures firm‐specific volatility in sales and earnings growth than standard measures do. While earlier literature has emphasized a trend increase in the volatility of publicly traded firms, we find that a typical publicly traded firm has become more stable. We find that the negative association between firm‐specific volatility and the business cycle is weaker than earlier research based on dispersion measures suggests. We find that during the Great Recession of 2007–2009, firm‐specific volatility increased moderately but never substantially exceeded its sample mean. Our results are inconsistent with the hypothesis that firm‐specific volatility is an important driver of the business cycle, as it theoretically could be through an effect of default risk on credit spreads.     

Volatility transmission in emerging European foreign exchange markets

This paper studies the dynamics of volatility transmission between Central European (CE) currencies and the EUR/USD foreign exchange using model-free estimates of daily exchange rate volatility based on intraday data. We formulate a flexible yet parsimonious parametric model in which the daily realized volatility of a given exchange rate depends both on its own lags as well as on the lagged realized volatilities of the other exchange rates. We find evidence of statistically significant intra-regional volatility spillovers among the CE foreign exchange markets. With the exception of the Czech and, prior to the recent turbulent economic events, Polish currencies, we find no significant spillovers running from the EUR/USD to the CE foreign exchange markets. To measure the overall magnitude and evolution of volatility transmission over time, we construct a dynamic version of the Diebold–Yilmaz volatility spillover index and show that volatility spillovers tend to increase in periods characterized by market uncertainty.     

Macroeconomic control, political costs and earnings management: Evidence from Chinese listed real estate companies

Firms in China have faced high political costs during China’s economic transition, because they are affected by macroeconomic policies. However, research to date has offered no consistent conclusions on the relationship between political costs and earnings management in China. This study tests whether real estate firms attempt to decrease earnings during periods of macroeconomic control, using variables related to the national real estate market as proxies for political costs. We find that political costs are negatively related to earnings management in listed real estate firms. In addition, we find that non-state-owned enterprises utilized more income-decreasing accruals during this period. Our results are consistent with the political costs hypothesis.     

Unique Symptoms of Japanese Stagnation: An Equity Market Perspective

This paper documents several unique financial symptoms of Japanese economic stagnation in the 1990s. We find a surprising fall in firm-level volatility and turnover in Japanese stocks after the market crash in 1990. These results stand in sharp contrast to the U.S. case, where firm-level volatility generally increases after a market crash. Further analysis reveals a parallel sharp reduction in earnings heterogeneity among Japanese firms. Preliminary evidence suggests that the reduction in firm-level volatility may be related to Japanese business group protection. The large decrease in firm-level volatility may impede the equity market's information role, as it has made it more difficult over the past decade for both investors and managers to distinguish high quality from low-quality firms.     

A cyclical model of exchange rate volatility

In this paper, we investigate the long run dynamics of the intraday range of the GBP/USD, JPY/USD and CHF/USD exchange rates. We use a non-parametric filter to extract the low frequency component of the intraday range, and model the cyclical deviation of the range from the long run trend as a stationary autoregressive process. We use the cyclical volatility model to generate out-of-sample forecasts of exchange rate volatility for horizons of up to 1 year under the assumption that the long run trend is fully persistent. As a benchmark, we compare the forecasts of the cyclical volatility model with those of the range-based EGARCH and FIEGARCH models of Brandt and Jones (2006). Not only does the cyclical volatility model provide a very substantial computational advantage over the EGARCH and FIEGARCH models, but it also offers an improvement in out-of-sample forecast performance.     

Foreign cultures, Sarbanes–Oxley Act and cross-delisting

Using a sample of foreign firms listed in U.S. and delisting shares over the period 2000 and 2010, this paper studies the impact of Sarbanes–Oxley Act (SOX) on the cross-delisting behavior of foreign firms based on the firm characteristics, legal tradition, overall culture and degree of individualism of the country of domicile. Pre-SOX, the propensity to delist is lower for firms from countries with cultural similarities to the U.S. and higher for firms from individualistic societies. Post-SOX these trends are reversed. Consistent with the existing research we find that the delisting decision of foreign firms cross-listed in the U.S. is based on the potential gains from listing based on the growth opportunities, length of presence in the U.S. and legal regulations of the country of domicile. Out findings provide evidence of the cultural factors that impact the competitiveness of U.S. capital markets.     

Scale effects of R&D as reflected in earnings and returns

Using returns to scale as a conceptual foundation, we explore how R&D-related earnings performance and earnings variability depend upon firm size. We find that the positive association between the level of future earnings and R&D intensity increases with firm size, and that the positive association between the volatility of future earnings and R&D intensity decreases with firm size, consistent with R&D productivity increasing with scale. We also show that R&D scale is associated with lower market returns, consistent with the idea that R&D investment risk declines with scale.     

ESTIMATING EXPECTED EXCESS RETURNS USING HISTORICAL AND OPTION‐IMPLIED VOLATILITY

We test the relation between expected and realized excess returns for the S&P 500 index from January 1994 through December 2003 using the proportional reward‐to‐risk measure to estimate expected returns. When risk is measured by historical volatility, we find no relation between expected and realized excess returns. In contrast, when risk is measured by option‐implied volatility, we find a positive and significant relation between expected and realized excess returns in the 1994–1998 subperiod. In the 1999–2003 subperiod, the option‐implied volatility risk measure yields a positive, but statistically insignificant, risk‐return relation. We attribute this performance difference to the fact that, in the 1994–1998 subperiod, return volatility was lower and the average return was much higher than in the 1999–2003 subperiod, thereby increasing the signal‐to‐noise ratio in the latter subperiod.     

Why Are U.S. Stocks More Volatile?

U.S. stocks are more volatile than stocks of similar foreign firms. A firm's stock return volatility can be higher for reasons that contribute positively (good volatility) or negatively (bad volatility) to shareholder wealth and economic growth. We find that the volatility of U.S. firms is higher mostly because of good volatility. Specifically, stock volatility is higher in the United States because it increases with investor protection, stock market development, new patents, and firm‐level investment in R&D. Each of these factors is related to better growth opportunities for firms and better ability to take advantage of these opportunities.     

MARKET TIMING IN REGRESSIONS AND REALITY

We compare price‐to‐earnings ratios and dividend yields, which are indirect measures of sentiment, with the bullish sentiment index, which is a direct measure. We find that the sentiment index does better as a market‐timing tool than do P/E ratios and dividend yields, but none is very reliable. We do not argue that market timing is impossible. Rather, we observe that stock prices reflect both sentiment and value, both of which are difficult to measure and neither of which is perfectly known in foresight. Successful market timing requires insights into future sentiment and value, insights beyond those that are reflected in widely available measures.