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  3. Insiders' Strategic Trading: Leveraging Future Earnings Knowledge

Insiders' Strategic Trading: Leveraging Future Earnings Knowledge

文献检索匿名用户发表于 2026年07月10日 11:485阅读
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What Insiders Know About Future Earnings and How They Use it: Evidence from Insider Trades

Corporate insiders, including top-level executives, directors, and large shareholders, possess a significant informational advantage regarding their companies' future earnings and often leverage this private information through their trading activities . This extensive body of research highlights how insiders utilize their knowledge of upcoming financial performance, both positive and negative, to engage in strategic trading that can predict future stock returns and earnings surprises. Their ability to profit from this information is influenced by various factors, including the nature of the information, their intent (opportunistic versus routine), and the regulatory and social environment in which they operate.

Insiders' Knowledge of Future Earnings

Insiders are uniquely positioned to gain insights into a company's prospects that are not readily available to external investors. This "intimate knowledge" stems from their direct involvement in the firm's operations and strategic decision-making . This knowledge often translates into an ability to forecast earnings-related fundamentals .

One significant aspect of insiders' knowledge relates to disappointing future earnings. Research indicates that abnormally large stock option exercises by top-level executives can predict disappointing earnings performance in the post-exercise period . This pattern often comes as a surprise to even sophisticated market participants, such as financial analysts, suggesting that the executives are acting on private information not yet reflected in public expectations . Moreover, this disappointing performance in the post-exercise period can represent a reversal of inflated earnings in the pre-exercise period, implying that executives manage earnings to increase the cash payout from their option exercises .

Insiders also possess knowledge about future earnings innovations, both positive and negative. The likelihood of insider purchases is positively related to next year's earnings innovation . Conversely, insider selling and stock option exercises are negatively related to next year's earnings innovation . However, this relationship is not strictly linear; the expected costs associated with insider trading, such as litigation, political, and reputational risks, can attenuate these relationships, especially in cases of extreme positive or negative earnings innovations . This suggests that while insiders trade on future earnings news, there are thresholds where the potential costs of trading outweigh the expected gains from exploiting private information . Importantly, insiders tend to trade only on persistent earnings innovations, further indicating their discerning use of private information .

Beyond direct earnings forecasts, insiders also appear to know about future stock price crash risk. Insider sales are positively associated with future crash risk, indicating that managers trade on this risk for personal gain . This opportunistic behavior is more pronounced when information opacity is high, but it is constrained by financial limitations or regulations like SOX .

How Insiders Use Their Knowledge

Insiders utilize their knowledge of future earnings through various trading strategies, often differentiating between "routine" and "opportunistic" trades.

1. Opportunistic vs. Routine Trading: A crucial distinction in insider trading research is between routine and opportunistic trades. Routine trades are often uninformative about a firm's future, as insiders may trade for diversified personal reasons . In contrast, opportunistic trades are information-rich and contain significant predictive power for future news and events at a firm level . A portfolio strategy focusing solely on opportunistic insider trades can yield substantial abnormal returns, whereas returns associated with routine trades are essentially zero . This highlights that not all insider trading carries the same informational weight; identifying and isolating opportunistic trades is key to understanding how insiders leverage their private information .

2. Timing of Trades and Market Reactions: Insiders demonstrate an ability to time their trades strategically. They can engage in short-term market timing, with movements in returns around their trades consistent with this behavior . Some types of trades are more informative for short-term returns; for instance, medium-sized trades tend to be more predictive than large ones, aligning with the "stealth trading" hypothesis where informed traders avoid large blocks to evade detection .

Insider trades can also predict future stock return performance . Abnormally large option exercises, in particular, forecast future stock return performance, indicating that executives use private information about impending disappointing earnings to maximize their cash payouts .

3. Predicting Earnings Surprises and Post-Earnings Announcement Drift: Mutual fund managers, who are also considered "insiders" in a broader sense due to their professional information gathering, demonstrate stock-picking ability by forecasting earnings-related fundamentals . Their buys significantly outperform their sells around subsequent earnings announcements, and their trades forecast earnings surprises .

Corporate insiders' trades after an earnings announcement play a role in the post-earnings announcement drift (PEAD) anomaly . Contrarian trades by insiders can mitigate the market's under-reaction to earnings announcements, suggesting that insiders provide information that helps the market make appropriate inferences about the nature of the earnings surprise . Conversely, confirmatory trades allow for price discovery, with price movements continuing in the same direction as the earnings surprise . This implies that insider trading acts as a mechanism to convey relevant information about transitory or permanent changes to the earnings process .

4. Manipulation and Self-Serving Behavior: The evidence suggests that insiders, particularly top executives, can use their private information in ways that serve their personal financial interests. For example, the timing of abnormally large option exercises is linked to earnings management aimed at increasing the cash payout of exercises . This involves inflating earnings in the pre-exercise period, which subsequently reverses into disappointing performance in the post-exercise period .

Furthermore, political connections can facilitate opportunistic behavior by corporate insiders . During the 2007-2009 financial crisis, politically connected insiders at financial institutions engaged in abnormal trading, anticipating market reactions to Troubled Asset Relief Program (TARP) infusions . This demonstrates that connections can provide access to privileged information that insiders exploit for personal gain .

Factors Influencing Insider Trading on Future Earnings Information

Several factors modulate how insiders use their knowledge of future earnings:

1. Costs and Benefits of Trading: Insiders weigh the expected gains from trading on private information against potential costs such as litigation, reputational damage, and political scrutiny . These costs can lead to non-linear relationships between insider trading decisions and future earnings innovations, as insiders might curtail trading when earnings innovations are extreme to avoid drawing attention . The expected costs associated with insider selling appear economically larger than those for insider buying, leading to a more pronounced non-linearity in sales related to negative future earnings news .

2. Transparency and Market Efficiency: The predictive content of aggregate insider trades can be mitigated by country-level institutions that promote transparency, especially when markets are prone to deviating from fundamentals (e.g., during market fads) or when stock prices exhibit greater co-movement . Financial information transparency, as well as robust governance and investor protection, play complementary roles in reducing the informational frictions that give rise to the predictive power of insider trades .

Insider trading laws also influence stock price informativeness . Better transparency can lead to lower profitability from insider trading. However, a study on insider trades on the London Stock Exchange, after adjusting for microstructure (spread) transaction costs, found that abnormal returns largely disappear on a net basis . This suggests that while gross abnormal returns may exist, after accounting for trading costs, the net profitability might be limited in certain well-regulated markets .

3. Corporate Governance and External Monitoring: Effective corporate governance mechanisms can influence earnings management and, consequently, insider trading behavior. In Latin American markets, for instance, boards that meet more frequently tend to adopt a more active monitoring role, leading to a lower use of manipulative practices . A non-linear relationship between insider ownership and discretionary accruals suggests that ownership concentration can constrain manipulative practices, but only when the ownership of main shareholders is moderate . Stronger governmental controls aimed at reducing corruption, strengthening the rule of law, or improving government effectiveness also lead to a reduction in firm earnings management .

4. Social Norms and Religiosity: Local social norms, particularly religiosity, can influence the profitability and opportunism of insider trading . Insiders in firms located in more religious areas tend to have lower profits from their trades, are less likely to trade on future earnings news, and their trades are less likely to be opportunistic . This effect holds across different disclosure environments and is more pronounced in firms with poor corporate governance, suggesting that religiosity acts as a social norm curbing self-interested behavior .

5. Analyst Forecasts and Biases: Financial analysts' earnings forecasts can exhibit biases that insiders might exploit or react to. Analysts' conditional expectations are often upward-biased, especially with longer forecast horizons . These biases are associated with negative cross-sectional return predictability, and managers of companies with the most upward-biased earnings forecasts are more likely to issue stocks . This interplay between analyst expectations and actual earnings information known by insiders can create opportunities for informed trading.

Data and Methodology Research on insider trading extensively uses datasets capturing insider trading activity, often derived from regulatory filings made available by bodies like the Securities and Exchange Commission (SEC) . While proprietary commercial databases are common in academic papers, direct use of original regulatory filings, which are updated daily and include all reported information without alteration, is advocated to enhance replication and data integrity .

In conclusion, insiders possess valuable private information about future earnings, which they strategically leverage through their trading decisions. This knowledge spans impending positive and negative earnings innovations, potential earnings manipulations, and even future stock price crash risks. Their ability to profit is shaped by a complex interplay of personal incentives, regulatory environments, corporate governance structures, and broader social norms, leading to identifiable patterns of opportunistic trading that can predict market movements and earnings surprises.

References

1What insiders know about future earnings and how they use it: Evidence from insider tradesOpenAlex

Bin Ke, Steven J. Huddart, Kathy R. Petroni

2Private Information, Earnings Manipulations, and Executive Stock-Option ExercisesOpenAlex

Eli Bartov, Partha S. Mohanram
This paper investigates the decision by top-level executives of more than 1,200 public corporations to exercise a large number of stock option awards in the period 1992–2001. We hypothesize and find that abnormally large option exercises predict stock return future performance. We then hypothesize that this predictive ability represents private information about disappointing earnings in the post-exercise period. Consistent with this hypothesis we find that abnormally positive earnings performance in the pre-exercise period turns to disappointing earnings performance in the post-exercise period, and that this pattern comes as a surprise to even sophisticated market participants (financial analysts). We also hypothesize and find that the disappointing earnings in the post-exercise period represent a reversal of inflated earnings in the pre-exercise period. Collectively, these findings suggest that the private information used by top-level executives to time abnormally large exercises follows from earnings management so as to increase the cash payout of exercises.

3Can Mutual Fund Managers Pick Stocks? Evidence from Their Trades Prior to Earnings AnnouncementsOpenAlex

Malcolm Baker, Lubomir P. Litov, Jessica A. Wachter, et al.
Abstract Recent research finds that the stocks that mutual fund managers buy outperform the stocks that they sell (e.g., Chen, Jegadeesh, and Wermers (2000)). We study the nature of this stock-picking ability. We construct measures of trading skill based on how the stocks held and traded by fund managers perform at subsequent corporate earnings announcements. This approach increases the power to detect skilled trading and sheds light on its source. We find that the average fund’s recent buys significantly outperform its recent sells around the next earnings announcement, and that this accounts for a disproportionate fraction of the total abnormal returns to fund trades estimated in prior work. We find that mutual fund trades also forecast earnings surprises. We conclude that mutual fund managers are able to trade profitably in part because they are able to forecast earnings-related fundamentals.

4Insider Trading Laws and Stock Price InformativenessOpenAlex

Nuno Fernandes, Miguel A. Ferreira
WOS:000265098400003 (Nº de Acesso Web of Science)

5What Insiders Know About Future Earnings and How They Use It: Evidence From Insider TradesOpenAlex

Bin Ke, Steven J. Huddart, Kathy R. Petroni

6Decoding Inside InformationOpenAlex

Lauren Cohen, Christopher J. Malloy, Łukasz Pomorski
Using a simple empirical strategy, we decode the information in insider trades. Exploiting the fact that insiders trade for a variety of reasons, we show that there is predictable, identifiable "routine" insider trading that is not informative for the future of firms. Stripping away these routine trades, which comprise over half the entire universe of insider trades, leaves a set of information-rich "opportunistic" trades that contains all the predictive power in the insider trading universe. A portfolio strategy that focuses solely on opportunistic insider trades yields value-weight abnormal returns of 82 basis points per month, while the abnormal returns associated with routine traders are essentially zero. Further, opportunistic trades predict future news and events at a firm level, while routine trades do not.

7Political Connections and the Informativeness of Insider TradesOpenAlex

Alan D. Jagolinzer, David F. Larcker, Gaizka Ormazábal, et al.
ABSTRACT We analyze the trading of corporate insiders at leading financial institutions during the 2007 to 2009 financial crisis. We find strong evidence of a relation between political connections and informed trading during the period in which Troubled Asset Relief Program (TARP) funds were disbursed, and that the relation is most pronounced among corporate insiders with recent direct connections. Notably, we find evidence of abnormal trading by politically connected insiders 30 days in advance of TARP infusions, and that these trades anticipate the market reaction to the infusion. Our results suggest that political connections can facilitate opportunistic behavior by corporate insiders.

8Man versus Machine Learning: The Term Structure of Earnings Expectations and Conditional BiasesOpenAlex

Jules H. van Binsbergen, Xiao Han, Alejandro Lopez-Lira
Abstract We introduce a real-time measure of conditional biases to firms’ earnings forecasts. The measure is defined as the difference between analysts’ expectations and a statistically optimal unbiased machine-learning benchmark. Analysts’ conditional expectations are, on average, biased upward, a bias that increases in the forecast horizon. These biases are associated with negative cross-sectional return predictability, and the short legs of many anomalies contain firms with excessively optimistic earnings forecasts. Further, managers of companies with the greatest upward-biased earnings forecasts are more likely to issue stocks. Commonly used linear earnings models do not work out-of-sample and are inferior to those analysts provide. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

9Evidence on the Non-Linear Relation between Insider Trading Decisions and Future Earnings InformationOpenAlex

Joseph D. Piotroski, Darren T. Roulstone
In this paper, we explore an insiders' decision to trade or not trade on the basis of future earnings information. Consistent with litigation, political, and reputation-related costs shaping insider-trading decisions, we find that relations between insider trading decisions and next year's earnings change are not strictly linear. First, we find that the likelihood of insider purchases is positively related to next year's earnings innovation, yet this relation is attenuated in the case of extreme positive innovations. Second, we find that the likelihood of an insider selling shares and exercising stock options is negatively related to next year's earnings innovation, yet this relation is attenuated in the case of extreme negative innovations. The non-linear relation between insider sales and future negative earnings news is more pronounced than the nonlinearity between insider purchases and future earnings news, suggesting that the expected costs associated with insider selling are economically larger than the costs associated with insider buying. Together, these estimations suggest that insiders trade on the basis of future earnings news, yet there exist regions where the expected costs of trading subsume the expected gains to trading on private information. Finally, we investigate the role of earnings persistence as an alternative explanation for our results. We find that insiders only trade on persistent earnings innovations, and that, after controlling for persistence, insiders still curtail trading when earnings innovations are extreme.

10Does Corporate Governance Influence Earnings Management in Latin American Markets?OpenAlex

Jesus Sáenz González, Emma García‐Meca
Although US and European research has documented improvement in earnings quality associated with corporate governance characteristics, the situation in Latin America is questionable, given the business environment in which firms operate, which is characterized by controlling family ownership and weak legal protection. The purpose of this study is to examine the relation between the internal mechanisms of Corporate Governance and Earnings Management measured by discretionary accrual. We use a sample of listed Latin American non-financial companies from the period 2006–2009. Our results show how in the Latin American context the role of external directors is limited and that Boards which meet more frequently take a more active position in the monitoring of insiders, so showing a lower use of manipulative practices. In addition, we find a non-linear relation between insider ownership and discretionary accruals, also pointing to the fact that ownership concentration may be a manipulative practices constrictor mechanism only when the ownership of main shareholders is moderate. The findings have important policy implications since this is, to the best of our knowledge, the first study to analyze the relation between the effectiveness of the government and the earnings management behavior. As policy implications, we document how when a country implements controls aimed at reducing corruption, strengthening the rule of law or improving the effectiveness of government, this leads to a reduction in firm earnings management.

11Short‐run Returns around the Trades of Corporate Insiders on the London Stock ExchangeOpenAlex

Sylvain Friederich, Alan Gregory, John Matatko, et al.
Previous work examined the long‐run profitability of strategies mimicking the trades company directors in the shares of their own company, as a way of testing for market efficiency. The current paper examines patterns in abnormal returns in the days around these trades on the London Stock Exchange. We find movements in returns that are consistent with directors engaging in short‐term market timing. We also report that some types of trades have superior predictive content over future returns. In particular, medium‐sized trades are more informative for short‐term returns than large ones, consistent with Barclay and Warner’s (1993) ‘stealth trading’ hypothesis whereby informed traders avoid trading in blocks. Another contribution of this study is to properly adjust the abnormal return estimates for microstructure (spread) transactions costs using daily bid‐ask spread data. On a net basis, we find that abnormal returns all but disappear.

12Insider trading and the post‐earnings announcement driftOpenAlex

Christina Dargenidou, Ian Tonks, Fanis Tsoligkas
Abstract We show that trades by corporate insiders after an earnings announcement determine in part the extent of the post‐earnings announcement drift anomaly. Contrarian trades mitigate the under‐reaction to earnings announcements, and confirmatory trades allow for price discovery with price movements continuing in the same direction as the earnings surprise. These results are consistent with insider trading being a mechanism that provides relevant information on transitory or permanent changes to the earnings process, allowing the market to make appropriate inferences about the nature of the earnings surprise.

13Investor Psychology and Security Market Under‐ and OverreactionsOpenAlex

Kent Daniel, David Hirshleifer, Avanidhar Subrahmanyam
ABSTRACT We propose a theory of securities market under‐ and overreactions based on two well‐known psychological biases: investor overconfidence about the precision of private information; and biased self‐attribution, which causes asymmetric shifts in investors' confidence as a function of their investment outcomes. We show that overconfidence implies negative long‐lag autocorrelations, excess volatility, and, when managerial actions are correlated with stock mispricing, public‐event‐based return predictability. Biased self‐attribution adds positive short‐lag autocorrelations (“momentum”), short‐run earnings “drift,” but negative correlation between future returns and long‐term past stock market and accounting performance. The theory also offers several untested implications and implications for corporate financial policy.

14Insider tradingOpenAlex

Attila Balogh
This paper describes a dataset capturing insider trading activity at publicly traded companies. Investors and investment analysts demand this information because executives, directors and large shareholders are expected to have more intimate knowledge of their company's prospects than outsiders. Insider stock sales and purchases may reveal information about the firm's business not disclosed in financial statements. They may also convey new information predictive of stock price movements if insiders can better interpret public information about the firm. Since mid-2003, the Securities and Exchange Commission has made these insider trading reports available to the public in a structured format; however, most academic papers use proprietary commercial databases instead of regulatory filings directly. This makes replication challenging as the data manipulation and aggregation processes are opaque and historical records could be altered by the database provider over time. To overcome these limitations, the presented dataset is created from original regulatory filings; it is updated daily and includes all information reported by insiders without alteration.

15Aggregate insider trading and market returns: The role of transparencyOpenAlex

François Brochet
Abstract Using a sample of countries that require timely disclosures of insider trades, I investigate the effect of country‐level institutions that promote transparency on the extent to which aggregate insider trades predict market returns. I find that financial information transparency mitigates the predictive content of aggregate insider trades when markets are more likely to deviate from fundamentals (i.e., during market fads), and when there is greater co‐movement in stock prices. In contrast, there is some evidence that governance and investor protection mitigate the association between aggregate insider trades and future earnings surprises. Hence, holding constant the timely disclosures of insider trades, other capital market institutions play complementary roles in mitigating the informational frictions that give rise to the predictive content of aggregate insider trades.

16Do corporate insiders trade on future stock price crash risk?OpenAlex

Guanming He, Helen Mengbing Ren, Richard Taffler
Abstract We explore whether firm managers trade on future stock price crash risk. This depends on managers’ ability to assess future crash risk, and on whether the expected payoff is greater than the expected costs associated with potential reputation loss and litigation risk. We find that insider sales are positively associated with future crash risk, which is consistent with managers’ trading on crash risk for personal gain. We also find that managers take advantage of high information opacity to pursue crash-risk-based insider sales more aggressively, but are less able to capitalize on this in the case of financial constraints or post-SOX.

17Religion and insider trading profitsOpenAlex

Harold Contreras, Adriana Korczak, Piotr Korczak
We use the controversial aspect of insider trading to analyze the impact of local social norms on insiders’ profits. We argue that religiosity is a source of social norms curbing self-interested behavior and, accordingly, it limits corporate insiders’ opportunistic trading on private information. Our results confirm that trades by insiders in firms located in more religious areas are followed by lower profits, those insiders are less likely to trade on future earnings news, and their trades are less likely to be opportunistic. The effect of religion on profitability of insider trading holds across different levels of disclosure environments and is more pronounced in firms with poor corporate governance. Overall, we offer new insights into the effect of social norms on individuals’ financial decisions.
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