Research on the use of financial statement information for forecasting profitability

Research on the use of financial statement information for forecasting profitability has two objectives: (i) to generate improved forecasts of profitability and accurate estimates of firm value; and (ii) to identify market inefficiencies with respect to financial statement information. For these areas of research, this article describes the evolution, provides examples and shares implications of the research. It also discusses opportunities for future research. The article highlights that financial statement analysis research has slowly evolved and has received limited attention from academics. The article argues that there are vast opportunities for impactful research on fundamental analysis and market inefficiencies.     

Uncertainty about average profitability and the diversification discount

The diversification discount (multiple segment firm value below the value imputed using single segment firm multiples) is commonly thought to be generated by agency problems, a lack of transparency, or lackluster future prospects for diversified firms. If multiple segment firms have lower uncertainty about mean profitability than single segment firms, rational learning about mean profitability provides an alternative explanation for the diversification discount that does not rely on suboptimal managerial decisions or a poor firm outlook. Empirical tests which examine changes in firm value across the business cycle and idiosyncratic volatility are consistent with lower uncertainty about mean profitability for multiple segment firms.     

Sources of Corporate Financing and Operating Performance: The effects of strategic ownership and financial restatements

Using a sample from European markets this study documents that changes in external financing, both in the form of equity and debt, can predict future operating performance (profitability and cash flows). In terms of future profitability, increases in equity (debt) financing particularly benefit large-size growth firms (large-size value firms). It is notable that a firm environment of low information quality, indicated by the presence of accounting restatements, intensifies the association between external financing and operating performance, due to the heightened scrutiny investors/lenders apply to firms that have recently restated their financials. In addition, strategic ownership in the firm has no significant effect on the financing – operating profitability association but may amplify the positive effects of equity financing on future operating cash flows. Moreover, financial analysts' forecasts of operating profitability and operating cash flows reflect the impact of external financing changes on future operating performance but exhibit a financing-related systematic inefficiency particularly for firms that have recently announced a material restatement of their prior financial results. Finally, controlling for information contained in analyst forecast surprises, the market is efficient overall and incorporates the effects of equity and debt financing changes into stock prices.     

Beyond CAPM: estimating the cost of equity considering idiosyncratic risks

The present study proposes a new evaluation approach aimed at estimating the cost of equity through standardized models which consider an innovative set of firm-specific information on the main unsystematic risks which are typical of any business. Our objective is extending the Capital Asset Pricing Model (CAPM) by defining a standard formula for quantifying the premium for certain idiosyncratic risks as a function of a new set of firm-specific quantitative information. We define two econometric models, for listed and non-listed firms respectively, which consider five idiosyncratic risk factors: firm size, value factor, operating risks, financial structure and stock market price volatility. The models were tested on a sample of European non-financial companies. The empirical results show that while the CAPM systematically underestimates the cost of equity, the proposed models correctly estimate its expected value; furthermore, they show a slight improvement also in terms of estimates’ volatility. Due to their efficacy and ease of use, the proposed models represent a valid practical tool for investors, analysts and professional evaluators. This work contributes to the existing literature by proposing a typologically innovative extension of the CAPM set of explanatory variables, defining and testing new models for the estimation of the unsystematic risks’ spread of the cost of equity based on an original set of firm-specific accounting and market information.     

The effect of major customer concentration on firm profitability: competitive or collaborative?

We test two potential hypotheses regarding the effects of major customer concentration on firm profitability. Under the collaboration hypothesis, customer power facilitates collaboration, and both the supplier firm and its major customers obtain benefits. Under the competition hypothesis, customer power results in rent extraction, and the major customers benefit at the expense of the supplier firm. We document that major customer concentration is negatively associated with the supplier firm’s profitability but positively associated with the major customers’ profitability. We demonstrate that these effects weaken as the supplier firm’s own power grows over its relationship with major customers, supporting the competition hypothesis. We carefully reconcile our results with prior studies’ findings that focus only on the supplier firm’s profitability and identify their research design and interpretation problems. We obtain similar inferences in a setting of major customers’ horizontal mergers and when we use an alternative measure of major customer power.

     

The local market perception of firm risks during cross-listing events

We examine the local investors’ perceptions on the relative idiosyncratic risks around cross-listing events. We find that increases in relative firm-specific risks around the listing date are temporary and small for Level I American depositary receipts (ADRs) while Level III ADRs have the most variations. For exchange-listed ADRs from emerging markets, there is a significant decrease in the relative firm-specific risk in the year prior to listing, which increases during the cross-listing, while there are only significant increases in relative firm-specific risks for developed market firms. We interpret these as evidences of negative relationship between firm opaqueness and relative firm-specific risks.     

Forecasting the Correlation Structure of German Stock Returns: A Test of Firm-Specific Factor Models

This paper evaluates the performance of various factor models with firm-specific variables in forecasting correlation matrices at the German stock market. We investigate forecasts of correlations for a comprehensive sample and a sample of blue chips and analyse the impact of stock market crashes on the forecasting accuracy. Our empirical results show that the multi-factor models do not generally produce better forecasts than 'naive' models. Specifically, the traditional industry mean model significantly outperforms all other techniques in most of the time periods.     

Testing the growth option theory: the profitability of enhanced momentum strategies in Australia

Recent literature relates growth option theory to various return regularities. Sagi and Seasholes (2007) (S&S) develop a model that explains momentum profitability using growth option theory. We test the model’s predictions in the Australian market by examining three momentum strategies. Two of these strategies examine the profitability of momentum strategies conditioned on stocks characteristics, whereas the third conditions on previous market returns. Our results are largely supportive of the S&S model. As predicted by S&S, the two strategies that use firm‐specific characteristics yield a higher profit than a simple momentum strategy. The third strategy that conditions on the previous market return also leads to differences in momentum profitability between bull and bear markets, but these differences are small and largely insignificant.     

Information content of credit ratings in pricing of future earnings

This paper examines whether credit ratings convey information about the firm’s future earnings to the capital markets. Using the future earnings response coefficient methodology, we find that the current stock returns of rated firms reflect more future earnings than do the stock returns of non-rated firms. We also find that the market reflect more future earnings in current returns for higher-rated firms. In addition, we present evidence that returns impound future earnings to a greater extent after a ratings initiation or upgrade. We empirically eliminate the possibility that our findings are driven by earnings smoothing, market liquidity or omitted default risk factors associated with ratings. Our results are robust to controlling for potential omitted variables, endogeneity bias, loss versus profit firms, and serial correlation of error terms. Overall, the evidence suggests that credit ratings help disseminate private information to reduce information uncertainty about the firm’s future profitability among market participants.     

The Implications of Dispersion in Analysts' Earnings Forecasts for Future ROE and Future Returns

Dispersion in analysts' forecasts is empirically evaluated by associating dispersion with a firm's future accounting rate of return-on-equity (ROE) and future returns. Forecast dispersion is significantly and negatively associated with future ROE, consistent with the notion that firm disclosures and analysts' information acquisition efforts increase as firm prospects improve. Forecast dispersion is negatively associated with future returns. This appears due to the implications of dispersion for future ROE, and suggests that the market does not immediately assimilate the information contained in forecast dispersion. Dispersion also conveys information about firm-specific risk not captured by beta and firm size.     

Incremental Voluntary Disclosure on Corporate Websites,Determinants and Consequences

This study analyses the determinants and consequences of internet financial reporting (IFR). Our evidence indicates that firms use the internet to report complementary information on firm background, management forecasts, intangible assets and on social and environmental issues. Our results indicate that the decision to provide additional voluntary financial disclosures through corporate websites is mostly influenced by share turnover, the future profitability of the firm and the level of competition in the industry. Last, we find that the extent of voluntary disclosure on corporate websites is related positively to forecast accuracy, and negatively to the dispersion of analysts forecasts, suggesting that such disclosures provide useful information to analysts.     

Firms' profit instability and the cross-section of stock returns: Evidence from China

This study utilizes samples from the Chinese A-share market to examine the relation between firms’ profit instability and cross-sectional stock returns. The empirical evidence indicates that firms with high profit instability have substantially lower future stock returns than those with low profit instability. The predictive information contained in profit instability is not subsumed by the level of profitability or the volatility of cash flow and is robust after controlling for well-known firm characteristics and risks. In addition, the long-term predictive performance of the firm’s profit instability is permanent over at least five years. Moreover, the profit instability effect is stronger among firms with better recent past performance, more lottery-like payoffs, and higher arbitrage risk. This finding suggests that the immaturity of investors and high constraints on arbitrage are the main sources of the profit instability effect in the Chinese market, which is consistent with the implications of behavioral mispricing explanations. Our investigation enriches the studies on profitability anomalies by uncovering profit instability as an incremental signal in predicting stock returns. Furthermore, this study provides a novel view to better understand the mechanisms of the anomalies related with firms' profitability in undeveloped stock markets of emerging economies, thereby benefiting investors from all over the world to seek more efficient investment strategies.     

Determinants of idiosyncratic volatility: Evidence from the Indian stock market

This paper investigates whether firm-specific characteristics explain idiosyncratic volatility in the stocks of non-financial firms traded in the Indian stock market. It employs the linear time series five-factor model, augmented with a liquidity factor and the conditional EGARCH model, to extract yearly idiosyncratic volatility. We estimate a panel data regression to quantify the relationship between firm-specific characteristics and the volatility of individual securities. The results show that idiosyncratic volatility is significant in emerging markets such as India, and that cross-sectional return variations of firms are associated with firm-specific characteristics such as firm size, book-to-market ratio, momentum, liquidity, cash flow-to-price ratio, and returns on assets. We find that the idiosyncratic risk documented in this study is associated with smaller size of company, higher liquidity, low momentum, high book-to-market ratio, and low cash flow-to-price ratio. The findings suggest need to develop alternative tools to make investment decisions in emerging markets.     

Using Financial and Macroeconomic Indicators to Forecast Sales of Large Development and Construction Firms

Sales forecasting is a pivotal component of a corporation’s planning and control activities. Despite the panoply of approaches to sales forecasting, relatively few published studies in forecasting address firm-specific sales forecasting model development for the construction industry. While there is evidence that events in the macroeconomy significantly affect the construction market, most published studies on construction sales forecasts using S-curve models are unable to account for the economic climate. This study proposes an approach that employs financial and macroeconomic indicators to forecast sales of large development and construction corporations. First, by using data for 37 large development and construction firms listed on the construction sector of the Taiwan Stock Exchange between 1997 and 2006, hypothesis tests uncover useful relationships between firm sales and financial and macroeconomic indicators. Second, based on these relationships, a two-stage mathematical modeling procedure is used to develop firm-specific sales forecasting models for three of the sample firms. Finally, out-of-sample forecasting accuracy is evaluated using Theil’s U-statistic and mean absolute percentage error (MAPE).     

Entering a new market: Market profitability and first-mover advantages

We analyze a firm's investment problem when it faces preemption risk and profits are convex in market profitability. In a setup where firms have asymmetric profit convexity, which we relate to firm quality, we show that this has interesting effects on valuation and the order of entry. The interplay between profit convexity and market growth impacts whether a high-quality or a low-quality firm is the first mover. We relate the first-mover advantage to patents; we find that patents expedite investments and increase the incentives for high-quality firms to become first movers. Furthermore, even with a persistent first-mover advantage we show that first-mover advantages in terms of firm value are either over- or underestimated. Thus, our model sheds light on why empirical studies find mixed support for the existence of a first-mover advantage.     

The effect of SFAS 131 on the stock market’s ability to predict industry‐wide and firm‐specific components of future earnings

This study examines the impact of SFAS 131 on the extent to which stock prices incorporate industry‐wide and firm‐specific components of future earnings. By decomposing earnings into industry‐wide and firm‐specific components, this paper finds that the firms that aggregated segments under the old rule experience significant acceleration in the incorporation of future earnings into current stock prices upon adoption of SFAS 131. However, the acceleration of future earnings is mostly driven by the improved incorporation of industry‐wide components of future earnings, which indicates the market’s ability to predict firm‐specific components is not significantly changed. Supplemental analysis suggests that the reduced geographic earnings information is one possible reason for lack of improvement in incorporating firm‐specific earnings into price.     

Stock price informativeness on the sensitivity of strategic M&A investment to Q

Using a strategic merger sample that covers the period from 1985 to 2011, we find that the acquirer’s stock price firm-specific information, the new information created by investors about the value of firm fundamentals, increases the positive sensitivity of strategic merger investment to the acquirer’s Q; the target’s stock price firm-specific information increases the negative sensitivity of merger investment to the target’s Q. These results suggest that managers learn from financial markets in identifying strategic merger investment opportunities by transferring assets from poorly managed firms to well managed firms. In addition, the target’s stock price firm-specific information itself increases the acquisition size, indicating that informed acquirer managers are more likely to take out large merger investment. Last but not the least, stock price informativeness increases merger synergies and post-merger performance, suggesting that informed managers make better merger investment that increases shareholder value. Our study contributes to the recent increasing stream of studies on managerial learning from the market.     

The Effects of Firm-Level Investability Sizes on Foreign Ownership in Indonesian Public Firms

This study investigates whether foreign investors investing in Indonesian public firms are basing their holdings on investability size, given other firms’ attributes such as dividend, liquidity, leverage, profitability, firm size, growth opportunity, and inter-industry factors. The analysis on this study is conducted using multiple regression analysis on the data that consists of free-float foreign ownership share in non-financial companies listed in the Indonesia Stock Exchange over the period 2014–2015. It is found that foreigners prefer holding stocks in larger investability and firm sizes, higher dividends, and the consumer goods industry sector. Aside from well-established firm-specific determinants of the degree of foreign ownerships in the literature that foreigner invest more in shares of large firms in a particular industry sector with higher dividends, this study also provides evidence that foreign investors require widely available shares for their investment in a foreign country. Understanding the determinants of foreign investors’ preferences may provide valuable insights for policy makers and Indonesian firms in attempts to attract foreign investment to the stock market.     

On the DuPont analysis in the health care industry

Prior research documents that the DuPont components of return on net operating assets (profit margin and asset turnover) represent an incremental source of information about the operating characteristics of a firm and are useful tools for market participants (Soliman, 2008). We find that the informativeness of DuPont components about future profitability is reduced in the healthcare setting, relative to an all-industry sample. Moreover, to the extent that DuPont components are useful for market participants, we show that profit margin is more persistent than asset turnover for US for-profit health care providers, which contradicts the results documented in prior literature that considered all industries. We argue that the special features of the health care industry (i.e. heavy regulation, unique operational characteristics) affect the information content of accounting signals obtained based on financial statements.     

Learn from peers? The impact of peer firms' analyst earnings forecasts on a focal firm's corporate investment efficiency

We explore whether a firm can learn from information on peers produced by analysts. Based on a sample of Chinese firms, we document that analyst earnings forecast accuracy (dispersion or optimism) of peer firms is positively (negatively) associated with the focal firm's investment efficiency. The effect is more salient when the focal firm operates in a competitive industry, when analysts are predicting positive earnings, when peers produce low-quality annual reports, or when the focal firm has high information asymmetry. Overall, our findings provide new insights on learning from peer information produced by a third party and show that analyst earnings forecasts have spillover effects in the product market.