Are incentives for earnings management reflected in the ERC: Large sample evidence

In this study, I examine the effect of exposure to earnings management (EM) incentives on the earnings response coefficient (ERC). Drawing from several anecdotes and normative arguments about the implications of managers' incentives for investor perception, I predict and test that exposure to EM incentives is negatively associated with the ERC. I find that ERC is reliably lower for firms with elevated exposure to EM incentives, holding constant the effects of actual EM and other factors that affect the returns–earnings relation. Furthermore, the effect of the incentive exposure on cash flows as well as on total accruals is reliably negative. These results are robust across alternative price– and returns–earnings specifications, and are insensitive to the inclusion of other measures of earnings quality. Additional analysis shows that the effect of such incentives on the ERC is more pronounced at higher levels of institutional stock ownership. However, a certain class of institutional owners – transient institutions – are less sensitive to the implications of such incentives for earnings quality.     

An examination of the effects of management earnings forecast form and explanations on financial analyst forecast revisions

Using a sample of 978 quarterly management earnings-per-share forecasts made during the period 1993 to 1999, we document that financial analyst revisions to management earnings forecasts are a function of management forecast form. More precise forecasts (measured three different ways) lead to greater revision of financial analyst consensus EPS forecasts for a given level of unexpected earnings as predicted by Kim and Verrecchia (1991) and Bayesian adjustment models. Also, consistent with our arguments, maximum forecasts are interpreted as bad news by analysts. Our results, while consistent with theory, are inconsistent with recent experimental studies which do not reject the null hypothesis of no effect of management earnings forecast form on the association between unexpected earnings and financial analyst forecast revisions. We also re-examine Baginski, Hassell, and Kimbrough's (2004) finding that attributions used to explain management forecasts affect the reaction to the forecast using analyst data. Consistent with their findings using stock prices, the attribution presence (especially external attributions) increases financial analyst revisions pursuant to management forecasts.     

Information in balance sheets for future stock returns: Evidence from net operating assets

In this paper, we show that the negative relation of net operating assets (NOA) with future stock returns first documented by Hirshleifer et al. (2004) applies to both net working and investing pieces of NOA, while it is mostly driven by asset NOA components. Predictability of returns is significant only for their unexpected parts (unrelated to past sales growth) and not uniform across different industries. We also find that only high (low) NOA firms with asset expansion (contraction) and weak (strong) background of profitable investments exhibit negative (positive) abnormal returns. Our evidence suggests that the NOA anomaly may be present due to a combination of opportunistic earnings management and agency related overinvestment.     

Hometown advantage: The effects of monitoring institution location on financial reporting discretion

We examine the impact of institutional ownership on financial reporting discretion, focusing on whether the impact varies with institutions' cost of acquiring monitoring information. Using geographic distance between the firm and the institutional investor as a proxy for the cost of acquiring monitoring information, we find that corporate managers are less likely to use financial reporting discretion in the presence of local monitoring institutions than distant monitoring institutions. We also find that the impact of monitoring institutions on financial reporting discretion varies with the costs and benefits of financial reporting discretion.     

Accruals and the performance of stock returns following external financing activities

This paper investigates the relation of the external financing anomaly with the accrual anomaly, by focusing separately on working capital accruals and long-term accruals. We find that external financing and accrual hedge portfolios not only generate superior returns, but they also constitute statistical arbitrage opportunities. Portfolio-level analysis and firm-level cross-sectional regressions show that the ability of external financing measures in predicting future returns remains strong, after controlling for working capital accruals. However, this ability is substantially reduced after controlling for long-term accruals. Our results appear to be consistent with investors’ failure to recognise agency-related overinvestment and/or opportunistic earnings management.     

Why are social network transactions important? Evidence based on the concentration of key suppliers and customers in China

Based on a new institutional economy framework, this study examines the formation and economic consequences of social networks (guanxi) from the perspective of key suppliers and customers in China. Results show that commercial activities which depend on networks are determined by the institutional environment. For example, companies that have lower accumulated social capital (less trust among people) and are subject to more government invention depend more on social network transactions than on the market. In addition, this study shows that network transactions can provide benefits to firms, especially in weak institutional environments. Networks can reduce transaction costs by reducing information asymmetry, i.e., increased network dependence is associated with lower credit costs and lower advertising and sales costs. Networks can also reduce the effect of industry shocks, especially negative shocks, by creating a bonding mechanism. This study contributes to our understanding of social networks in emerging markets by providing evidence on network transactions with key suppliers and customers and their influence on firms’ accounting behavior.     

Extreme returns: The case of currencies

Financial market crashes can occur even in the absence of news. This paper highlights four properties of price-contingent trading that increase the frequency of such events. Price-contingent trading is common across financial market, since it includes algorithmic trading, technical trading, and dynamic option hedging. The four properties we consider are: (1) high kurtosis in the distribution of order sizes; (2) clustering of trades within the day; (3) clustering of trades at certain prices; and (4) feedback between trading and returns. The paper estimates the relative importance of these factors using data from the foreign exchange market. Calibrated simulations indicate that interactions among these factors are at least as important as any single one. Among individual factors, the orders’ size distribution and feedback effects have the strongest influence. Overall, price-contingent trading could account for half of realized excess kurtosis. The paper suggests that extreme returns unaccompanied by news are statistically inevitable in the presence of price-contingent trading.     

Disclosure and cost of equity capital in emerging markets: The Brazilian case

In this paper, we conjecture that the weak association between disclosure and cost of equity capital found in the literature (Botosan, 1997) can be caused by the high-level corporate disclosure environment found in the United States. We hypothesize that in low-level corporate disclosure environments the variability in disclosure practices across firms will be larger than in the United States, and, consequently, the marginal effect of voluntary disclosure policies will be higher. Using a newly developed Brazilian Corporate Disclosure Index (BCDI), our results confirm this hypothesis. Disclosure is strongly associated with ex ante cost of equity capital for Brazilian firms. The results are more pronounced for firms with less analyst coverage and low ownership concentration, as expected.     

Macroeconomic risk and the cross-section of stock returns

We develop a conditional version of the consumption capital asset pricing model (CCAPM) using the conditioning variable from the cointegrating relation among macroeconomic variables (dividend yield, term spread, default spread, and short-term interest rate). Our conditioning variable has a strong power to predict market excess returns in the presence of competing predictive variables. In addition, our conditional CCAPM performs approximately as well as Fama and French’s (1993) three-factor model in explaining the cross-section of the Fama and French 25 size and book-to-market sorted portfolios. Our specification shows that value stocks are riskier than growth stocks in bad times, supporting the risk-based story.     

The impact of family-firm structure and board composition on corporate transparency: Evidence based on segment disclosures in Malaysia

The aim of this study is to contribute to the growing literature on the quality of accounting disclosures by family firms by investigating whether the alignment (entrenchment) effect leads to high (low) corporate transparency. Unlike previous studies, this study also examines the relationship between board composition and corporate transparency by distinguishing between the two types of nonexecutive directors, namely independent and affiliated directors. Using the enhanced segment disclosures by Malaysian firms in 2001/2002 as a proxy of corporate transparency, the results indicate that family firms are more inclined to disclose all the required items for the primary basis of segment reporting, consistent with Ali, Chen, and Radhakrishnan (2007) and Wang (2006). The result also indicates that firms with higher proportion of affiliated directors are more likely to make greater segment disclosures. However, no evidence is found to support the contention that independent directors and institutional investors promote corporate transparency, consistent with previous Malaysian studies.     

Value Relevance of Inflation-adjusted Equity and Income

This paper investigates the role incremental information content of inflation-adjusted data plays in explaining the market value of equity and stock returns on the Istanbul Stock Exchange (ISE). We show the effect of inflation accounting application on basic financial ratios, and we test the value relevance of inflation-adjusted and historical cost-based book value and earnings. The findings show that inflation adjustment affects financial ratios significantly, which may create different risk assessments for the selected firms. Furthermore, the results indicate that both inflation-adjusted and historical cost-based earnings and book values are significantly value relevant. The two sets of data are not to be used as substitutes, but, rather, they are complementary. For this reason, inflation-adjusted data should be required as supplementary data to the historical cost information rather than in place of historical cost data.     

A multi-country test of the Fisher model for stock returns

This article provides a test of the Fisher model, linking expected stock returns and inflation, based on international data. Since the Fisher model is ‘universal’ and calls for a slope of 1 in any country, we improve the testing power by conducting a joint test over eight countries. The pooling of data for several countries seems to reduce the small-sample bias. We test the Fisher model, using an instrumental variable approach, for holding-period horizons ranging from 1–12 months. The Fisher model is not rejected at any horizon: however, the magnitude of the slope coefficient lends stronger support at long horizons. This study using multi-country panel data provides evidence corroborating the finding of Boudoukh and Richardson (1993) that the Fisher model holds at long horizons (5 years), using 180 years of US data.     

Analyzing the German accounting triad — “Accounting Premium” for IAS/IFRS and U.S. GAAP vis-à-vis German GAAP?

This paper critically examines the impact of voluntary adoption of Internationally Accepted Accounting Principles (IAAP, i.e., IAS/IFRS and U.S. GAAP) on the cost of equity capital in Germany. We find that (1) overall cost of equity-capital estimates in the Capital Asset Pricing Model (CAPM) for companies applying IAAP are significantly lower compared to those applying German GAAP, (2) an enhanced multi-factor model which incorporates the accounting-regime differences (called “GM model”) absorbs the cost of equity-capital differences, and (3) changes of the institutional background in Germany and of the accounting standards lead to different cost of equity capital effects for subperiods of the 1998–2004 voluntary-adoption period, while particularly controlling for effects like self-selection, cross-listing, and New Market (Neuer Markt) listing.The central thesis advanced in this paper is that changes in the accounting standards and the institutional infrastructure can influence the impact of applying IAAP. Therefore, we suggest incorporating an accounting factor into the cost of equity-capital analysis.     

Long term dependence in stock returns

We show, using the modified rescaled range statistic, that none of the return series of indices of five European countries, the United States and Japan exhibits long term dependence. This statistic — introduced by Lo (1991) — correct Hurst's (1951) ‘classical’ rescaled range statistic for short term dependence. We also report the classical rescaled range statistic after adjusting the series for short term dependence. This procedure shows, for cases where the results of the modified rescaled range statistic are mixed, that no long term dependence can be found. Simulations indicate reasonable power of this adjustment procedure. Furthermore, we find that estimates of the Hurst exponent, a related measure of long term dependence, are also biased by short term dependence. Simulations show that this measure — that has recently attracted growing interest — cannot distinguish between models with or without long term dependence.     

Comovements of earnings, dividends, and stock prices

We investigate the comovements of the log of earnings, dividends, and stock prices by testing for the number of common stochastic trends among these series. We find that the three series are cointegrated with a single cointegrating vector. Our findings collectively imply that (i) there is an equilibrium force that tends to keep these series together over time, (ii) changes in dividends are primarily influenced by changes in some measure of permanent earnings, and (iii) a substantial fraction of stock price movement is driven by neither earnings changes nor dividend changes. When we take into account the cointegration relationship, we find that the dynamic relationship between these variables is significantly affected. We present a common stochastic trends model of earnings, dividends, and stock prices, whose implications are broadly consistent with these findings.     

Stock market trading activity and returns around milestones

We study the relation between daily stock market trading activity and the Dow Jones Industrial Average's (DJIA) movement around millenary milestones—numbers that end in three zeros. We find aggregate turnover to be 5% lower when the DJIA level is less than 1% away from the nearest milestone. The effect emerges as the DJIA approaches a milestone from below, and is stronger for first-time milestones compared to subsequent passages. The aggregate price impact is large, such that daily stock returns show a negative abnormal performance of − 10 basis points. Our findings suggest that millenary milestones of the DJIA play a role in some investors' decision making.     

New evidence on oil price and firm returns

In this paper, we examine the relationship between oil price and firm returns for 560 US firms listed on the NYSE. First, we find that oil price affects returns of firms differently depending on their sectoral location. Second, we find strong evidence of lagged effect of oil price on firm returns. Third, we test whether oil price affects firm returns based on different regimes and find that in five out of the 14 sectors this is indeed the case. Finally, we unravel that oil price affects firm returns differently based on firm size, implying strong evidence of size effects.     

Common asset pricing factors in volatilities and returns in futures markets

Factor-based asset pricing models have been used to explain the common predictable variation in excess asset returns. This paper combines means with volatilities of returns in several futures markets to explain their common predictable variation. Using a latent variables methodology, tests do not reject a single factor model with a common time-varying factor loading. The single common factor accounts for up to 53% of the predictable variation in the volatilities and up to 14% of the predictable variation in the means. S&P500 futures volatility predicted by the factor model is highly correlated with volatility implied in S&P500 futures options. But both the factor and implied volatilities are significant in predicting future volatility. In derivatives pricing, both implied volatility from options and factors extracted from asset pricing models should be employed.     

The role of trading intensity estimating the implicit bid–ask spread and determining transitory effects

In this paper, we investigate the information content of trading intensity applying the Madhavan, Richardson and Roomans (1997) structural model to express trading intensity as trading momentum in duration and volume. Using both transactions and intraday data from the Helsinki Stock Exchange Limit Order Bookmarket, we find that momentum in duration and volume enhances the information effect. We reach this conclusion based on the parametric effect determined by the sign and the magnitude of the coefficients associated with the trading intensity variables, the trading effect determined by the ratio of transitory effects to permanent effects, and the economic effect determined by the size of the implicit bid–ask spread. While we find that the implicit bid–ask spread and transitory effects are decreasing toward the end of the trading day in consistency with information models in the literature, there is a surge of trades at the market close, most probably due to information uncertainty at market opening in New York.     

Estimating the credibility of an exchange rate target zone

Recent breakthroughs in the theory of exchange rate target zones have not been followed by similar contributions on the empirical side. The drift adjustment method of evaluating the credibility of a target zone has become common practice. However, the estimates of the expected rate of depreciation inside the band do not model knowledge of the band in the agents' information set. In this paper, a rational expectations limited-dependent variable method to estimate the expected rate of depreciation is used to remedy this weakness. In the case of the franc-mark target zone with daily data covering a 4-year period, we show that expected rates of devaluation of the order of 2.5% were still present in the early 1990s. Their reappearance in the autumn of 1992 may thus not be surprising.