Inside the “Black Box” of Sell‐Side Financial Analysts

Our objective is to penetrate the “black box” of sell‐side financial analysts by providing new insights into the inputs analysts use and the incentives they face. We survey 365 analysts and conduct 18 follow‐up interviews covering a wide range of topics, including the inputs to analysts’ earnings forecasts and stock recommendations, the value of their industry knowledge, the determinants of their compensation, the career benefits of Institutional Investor All‐Star status, and the factors they consider indicative of high‐quality earnings. One important finding is that private communication with management is a more useful input to analysts’ earnings forecasts and stock recommendations than their own primary research, recent earnings performance, and recent 10‐K and 10‐Q reports. Another notable finding is that issuing earnings forecasts and stock recommendations that are well below the consensus often leads to an increase in analysts’ credibility with their investing clients. We conduct cross‐sectional analyses that highlight the impact of analyst and brokerage characteristics on analysts’ inputs and incentives. Our findings are relevant to investors, managers, analysts, and academic researchers.     

TRADE SIZE AND INFORMED TRADING: WHICH TRADES ARE “BIG”?

We find adverse‐selection spread components increase sharply in the ratio of trade size to quoted depth, and spike when trade size equals quoted depth. We find that two previously documented and prominent indicators of informed trading, raw trade size and high‐trading volume half‐hours, offer almost no explanatory power for informed trading measures beyond trade size to quoted depth, and a third indicator, time of day, offers no explanatory power among trades with high trade size to quoted depth. Our results suggest trade size to quoted depth is perhaps the single most important indicator that a trade is informed.     

The Impact of Information Processing Costs on Firm Disclosure Choice: Evidence from the XBRL Mandate

This paper examines the effect of market participants’ information processing costs on firms’ disclosure choice. Using the recent eXtensible Business Reporting Language (XBRL) regulation, I find that firms increase their quantitative footnote disclosures upon implementation of XBRL detailed tagging requirements designed to reduce information users’ processing costs. These results hold in a difference‐in‐difference design using matched nonadopting firms as controls, as well as two additional identification strategies. Examination of the disclosure increase by footnote type suggests that both regulatory and nonregulatory market participants play a role in monitoring firm disclosures. Overall, these findings suggest that the processing costs of market participants can be significant enough to impact firms’ disclosure decisions.     

Management by the Numbers: A Formal Approach to Deriving Informational and Distributional Properties of “Unmanaged” Earnings

We explore the theoretical relation between earnings and market returns as well as the properties of earnings frequency distributions under the assumption that managers use unbiased accounting information to sequentially decide on real options their firms have and report generated earnings truthfully, with the market pricing the firm based on those reported earnings. We generate benchmarks against which empirically observed earnings‐returns relations and aggregate earnings distributions can be evaluated. This parsimonious model shows a coherent set of results: reported losses are less persistent than reported gains, decision making diminishes the S‐shaped market response to earnings and earnings relate to returns asymmetrically in the way documented by Basu [1997]. Furthermore, the implied frequency distribution of aggregate earnings is neither symmetric nor necessarily single‐peaked. Instead, it may exhibit a kink at zero and look similar to the plots reported by Burgstahler and Dichev [1997]. However, within our model, none of these phenomena are due to reporting noise, bias, or some undesirable strategic managerial behavior. They are the natural consequences of using past earnings as the basis for value increasing managerial decision making that in turn generates the future earnings on which future decisions will be based.     

Disentangling Managers’ and Analysts’ Non‐GAAP Reporting

Researchers frequently proxy for managers’ non‐GAAP disclosures using performance metrics available through analyst forecast data providers (FDPs), such as I/B/E/S. The extent to which FDP‐provided earnings are a valid proxy for managers’ non‐GAAP reporting, however, has been debated extensively. We explore this important question by creating the first large‐sample data set of managers’ non‐GAAP earnings disclosures, which we directly compare to I/B/E/S data. Although we find a substantial overlap between the two data sets, we also find that they differ in systematic ways because I/B/E/S (1) excludes managers’ lower quality non‐GAAP numbers and (2) sometimes provides higher quality non‐GAAP measures that managers do not explicitly disclose. Our results indicate that using I/B/E/S to identify managers’ non‐GAAP disclosures significantly underestimates the aggressiveness of their reporting choices. We encourage researchers interested in managers’ non‐GAAP reporting to use our newly available data set of manager‐disclosed non‐GAAP metrics because it more accurately captures managers’ reporting choices.     

Bank Competition: Measurement,Decision‐Making,and Risk‐Taking

This paper investigates whether greater competition increases or decreases individual bank and banking system risk. Using a new text‐based measure of competition, and an instrumental variables analysis that exploits exogenous variation in bank deregulation, we provide robust evidence that greater competition increases both individual bank risk and a bank's contribution to system‐wide risk. Specifically, we find that higher competition is associated with lower underwriting standards, less timely loan loss recognition, and a shift toward noninterest revenue. Further, we find that higher competition is associated with higher stand‐alone risk of individual banks, greater sensitivity of a bank's downside equity risk to system‐wide distress, and a greater contribution by individual banks to downside risk of the banking sector.     

Foreign Entry into Underwriting Services: Evidence from Japan's “Big Bang” Deregulation

We examined the effect of foreign entry into bond market underwriting activity using issue‐level data from the Japanese “Samurai” and euro–yen bond markets. We found that the fees charged by Japanese underwriters were higher on average than those of foreign underwriters, but the difference could be explained by conditioning on issue characteristics. Our results also suggest that bond issuers sorted properly across underwriters, as switching across underwriter nationalities would be expected to result in higher fees. However, the savings enjoyed by firms issuing with foreign underwriters were modest and statistically insignificant, while those of firms issuing with Japanese underwriters were substantial and statistically significant. This result suggests that Japanese underwriters priced their services aggressively over the sample period, perhaps in an effort to retain or gain market share. This conjecture is supported by a matching exercise that examined the liberalization of foreign underwriter access to the Samurai bond market, using euro–yen bond issues as a control. Foreign entry led to a statistically and economically significant decrease of 16 basis points on average in underwriting fees in the Samurai bond market. Overall, our results suggest that the international market for Japanese bond underwriting services was partially segmented by nationality as issuers appear to have preferred habitats, but that liberalization increased overall market competition.     

Asymmetric trading by insiders – comparing abnormal returns and earnings prediction in Spain and Australia

This paper examines whether the ‘external governance’ imposed by comparative financial accounting standards reduces the trading advantage of insiders. We do this by directly comparing insider trading returns and insider’s ability to predict future earnings from accruals in Spain and Australia. Results show higher excess returns and greater prediction of future earnings from conditioned insider trading in Australia that is then utilized by financial analysts to lower forecast errors – particularly in contrarian‐based accruals trading. Possible explanations include: (i) a high asymmetric quality for market‐based accruals, (ii) information transfer from informed insiders to uninformed insiders and financial analysts and (iii) a more timely dissemination of financial information in Spain through different ownership and governance structures.     

Credit Default Swaps and Managers’ Voluntary Disclosure

We investigate how the availability of traded credit default swaps (CDSs) affects the referenced firms’ voluntary disclosure choices. CDSs enable lenders to hedge their credit risk exposure, weakening their incentives to monitor borrowers. We predict that reduced lender monitoring in turn leads shareholders to intensify their monitoring and demand increased voluntary disclosure from managers. Consistent with this expectation, we find that managers are more likely to issue earnings forecasts and forecast more frequently when traded CDSs reference their firms. We further find a stronger impact of CDS availability on firm disclosure when (1) lenders have higher ability and propensity to hedge credit risk using CDSs, and (2) lender monitoring incentives and monitoring strength are weaker. Consistent with an increase in shareholder demand for public information disclosure induced by a reduction in lender monitoring, we find a stronger effect of CDSs on voluntary disclosure for firms with higher institutional ownership and stronger corporate governance. Overall, our findings suggest that firms with traded CDS contracts enhance their voluntary disclosure to offset the effect of reduced monitoring by CDS‐protected lenders.     

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.     

Run EDGAR Run: SEC Dissemination in a High‐Frequency World

We describe the process through which the Securities and Exchange Commission (SEC) makes filings “publicly available.” For a sample of Form 4 (insider trade) filings, we show that, during the period we examine, the majority of filings are available to paying subscribers of the SEC's public dissemination system (PDS) feed before they are posted to the EDGAR website, and so provide subscribers and their clients with a private advantage. We show that this advantage translates into an economically significant trading advantage, and prices, volumes, and spreads respond to the news contained in filings beginning around 30 seconds before public posting. These findings indicate that the SEC dissemination process does not always provide a level playing field and that the meaning of publicly available information in capital markets is no longer simple or obvious. In response to our study, the SEC launched an investigation and agreed to eliminate the PDS timing advantage.     

Why Do Individual Investors Disregard Accounting Information? The Roles of Information Awareness and Acquisition Costs

We investigate the frictions that impede individual investors’ use of accounting information and, in particular, their costs of monitoring and acquiring accounting disclosures. We do so using an archival setting in which individuals are presented with automated media articles that report both current earnings news and past stock returns. Although these investors have earnings information readily available, we find no evidence that their trades incorporate it. Instead we find that their trading responds to the trailing stock returns presented in the articles. Our study raises questions about the efficacy of regulations that aim to aid less sophisticated investors by increasing their awareness of and access to accounting information.     

IFRS adoption and analysts’ earnings forecasts: Australian evidence

We study 145 large listed Australian firms to explore the impact of international financial reporting standards (IFRS) adoption on the properties of analysts’ forecasts and the role of firm disclosure about IFRS impact. We find that analyst forecast accuracy improves, and there is no significant change in dispersion in the adoption year, suggesting that analysts coped effectively with transition to IFRS. However, we do not observe the expected relationship between firms’ IFRS impact disclosures in their financial statements issued at the end of the transition year with forecast error and dispersion in the adoption year. The results question the timeliness and usefulness of financial statement disclosure, even in a setting where disclosure was mandated by accounting standards (AASB 1047 and AASB 1) and firms had strong incentives to provide information to analysts.     

Textual Analysis in Accounting and Finance: A Survey

Relative to quantitative methods traditionally used in accounting and finance, textual analysis is substantially less precise. Thus, understanding the art is of equal importance to understanding the science. In this survey, we describe the nuances of the method and, as users of textual analysis, some of the tripwires in implementation. We also review the contemporary textual analysis literature and highlight areas of future research.     

The Economics of Disclosure and Financial Reporting Regulation: Evidence and Suggestions for Future Research

This paper discusses the empirical literature on the economic consequences of disclosure and financial reporting regulation, drawing on U.S. and international evidence. Given the policy relevance of research on regulation, we highlight the challenges with (1) quantifying regulatory costs and benefits, (2) measuring disclosure and reporting outcomes, and (3) drawing causal inferences from regulatory studies. Next, we discuss empirical studies that link disclosure and reporting activities to firm‐specific and market‐wide economic outcomes. Understanding these links is important when evaluating regulation. We then synthesize the empirical evidence on the economic effects of disclosure regulation and reporting standards, including the evidence on International Financial Reporting Standards (IFRS) adoption. Several important conclusions emerge. We generally lack evidence on market‐wide effects and externalities from regulation, yet such evidence is central to the economic justification of regulation. Moreover, evidence on causal effects of disclosure and reporting regulation is still relatively rare. We also lack evidence on the real effects of such regulation. These limitations provide many research opportunities. We conclude with several specific suggestions for future research.     

Front‐Running Scalping Strategies and Market Manipulation: Why Does High‐Frequency Trading Need Stricter Regulation?

Regulators continue to debate whether high‐frequency trading (HFT) is beneficial to market quality. Using Strongly Typed Genetic Programming (STGP) trading algorithm, we develop several artificial stock markets populated with HFT scalpers and strategic informed traders. We simulate real‐life trading in the millisecond time frame by applying STGP to real‐time and historical data from Apple, Exxon Mobil, and Google. We observe that HFT scalpers front‐run the order flow, resulting in damage to market quality and long‐term investors. To mitigate these negative implications, we propose batch auctions every 30 milliseconds of trading.