Does exposure to product market competition influence insider trading profitability?

We examine whether and how product market competition affects insider trading profitability. We empirically show that the insiders of firms in highly competitive industries make higher abnormal profits. Our identification strategy includes both a quasi-natural experiment setting and an instrumental variable approach to address endogeneity concerns. We also run an extensive array of robustness checks and find that our baseline results remain substantially unchanged. Our cross-sectional analyses show that insider trading profitability is more pronounced for firms with: a higher level of trade secrecy, a higher level of R&D, a lower level of management voluntary disclosures, less readable 10-K reports and highly tone-ambiguous financial disclosures. We also find that our results are robust to the inclusion of corporate governance mechanisms. Overall, this study is consistent with the theoretical predictions that support the information asymmetry and proprietary cost channels of competition and that increases in competition lead insiders to undertake more rent-seeking activity.     

Aggregate insider trading: Contrarian beliefs or superior information?

We decompose realized market returns into expected return, unexpected cash-flow news and unexpected discount rate news to test the relation between aggregate market returns and aggregate insider trading. We find that (1) the predictive ability of aggregate insider trading is much stronger than what was reported in earlier studies, (2) aggregate insider trading is strongly related to unexpected cash-flow news, (3) market expectations do not cause insider trading contrary to what others have documented, and (4) aggregate insider trading in firms with high information uncertainty is more likely to be associated with contrarian investment strategy. These results strongly suggest that the predictive ability of aggregate insider trading is because of insider’s ability to predict future cash-flow news rather than from adopting a contrarian investment strategy. These results hold even after we control for non-informative trades and information uncertainty.     

Does vega-neutral options trading contain information?

This study suggests a novel approach for decomposing net options demands into the options order imbalances with and without volatility risk. By analyzing a high-frequency index futures and options dataset, we examine the information content of (i) the direction-motivated order imbalance induced by a single option type, which is exposed to volatility risk, and (ii) that constructed by both calls and puts, which is vega-neutral. The aggregate options order imbalance does not convey information after controlling for futures market trading. However, the intraday options order imbalance by trading without volatility risk significantly predicts spot index returns, though its longer-horizon forecasting ability is relatively weak because of a possible cross-market hedging effect. The predictive abilities of informed foreigners’ trades and out-of-the-money options trading are prominent. Our empirical results suggest that the vega-neutral options trading conveys additional information distinct from the futures order imbalance.     

Do bond rating changes affect the information asymmetry of stock trading?

Using a sample of 279 upgrades and 310 downgrades from 1996 to 2004, we find that bond rating changes affect the information asymmetry of stock trading and other measures of information risk. Specifically, when a firm's bond rating is upgraded, its stock information asymmetry and its analysts' earnings forecast dispersion are significantly reduced, while the institutional equity holdings of its shares are significantly increased. The reverse is true for a downgrade. In addition, the degree of change in stock information asymmetry is positively associated with the magnitude of the bond rating changes.     

Do voluntary corporate restrictions on insider trading eliminate informed insider trading?

We investigate whether voluntary corporate restrictions on insider trading effectively prevent insiders from exploiting their private information. Our results show that insiders of firms with seeming restrictions on insider trading continue to take advantage of positive private information while being more cautious when exploiting negative private information. The results suggest that insiders continue to exploit their informational advantages in a way that minimizes their legal risk. We also find that the degree of information asymmetry is significantly lower in firms with restriction policies and that corporate governance significantly affects firms' decisions to adopt these policies.     

Did CDS trading improve the market for corporate bonds?

Financial innovation through the creation of new markets and securities impacts related markets as well, changing their efficiency, quality (pricing error), and liquidity. The credit default swap (CDS) market was undoubtedly one of the salient new markets of the past decade. In this paper we examine whether the advent of CDS trading was beneficial to the underlying secondary market for corporate bonds. We employ econometric specifications that account for information across CDS, bond, equity, and volatility markets. We also develop a novel methodology to utilize all observations in our data set even when continuous daily trading is not evidenced, because bonds trade much less frequently than equities. Using an extensive sample of CDS and bond trades over 2002–2008, we find that the advent of CDS was largely detrimental. Bond markets became less efficient, evidenced no reduction in pricing errors, and experienced no improvement in liquidity. These findings are robust to various slices of the data set and specifications of our tests.     

Does option trading convey stock price information?

After executing option orders, options market makers turn to the stock market to hedge away the underlying stock exposure. As a result, the stock exposure imbalance in option transactions translates into an imbalance in stock transactions. This paper decomposes the total stock order imbalance into an imbalance induced by option transactions and an imbalance independent of options. The analysis shows that the option-induced imbalance significantly predicts future stock returns in the cross section controlling for the past stock and options returns, but the imbalance independent of options has only a transitory price impact. Further investigation suggests that options order flow contains important information about the underlying stock value.     

Does information drive trading in option strategies?

We study trading in option strategies in the FTSE-100 index market. Trades in option strategies represent around 37% of the total number of trades and over 75% of the total trading volume in our sample. We find some evidence that order flow in volatility–sensitive option strategies contains information about future realized volatility. We do not find evidence that order flow in directionally–sensitive option strategies contains information about future returns. Overall, our evidence suggests that option strategies are used both by traders who possess non-public information about future volatility and by uninformed speculators who appear to follow unprofitable trend chasing strategies.     

Does informed trading occur in the options market? Some revealing clues

This paper analyses the relationship between proxy variables for informed trading in the options market and a set of exogenous news variables. The aim was to test directly for the presence or absence of informed trading in the options market and for the possible impact of this trading on underlying asset prices. Our findings reveal that potential informed trading in options markets is channelled basically through out‐of‐the‐money options, except for volatility trading which mainly involves at‐the‐money options because of their liquidity. In both cases, we have found evidence in favour of investors’ strategic fragmentation of transactions into intermediate size trades (stealth trading). Finally, it is shown that lack of consensus among agents also generates increased trading, particularly in out‐of‐the‐money and at‐the‐money options.     

Does stronger corporate governance constrain insider trading? Asymmetric evidence from Australia

We investigate the role of internal corporate governance in limiting opportunities for ASX company ‘insiders’ to extract abnormal returns from trading ‘own shares’. We show that stronger governance translates into more restrictive insider trading policies and, while not resulting in lower insider purchase volumes, values or profits, it does reduce insider selling profitability. Firm size and increasing trading policy restrictiveness is associated with reduced insider purchase profitability while insider sale profitability is reduced by aggregate governance, trading restrictions and increasing trading policy restrictiveness. We conclude that internal firm governance constrains insider sales but not purchases, providing contrarian trading signals.     

Do commonalities facilitate private information channels? Evidence from common gender and insider trading

We examine insider trading profitability and common identity between insiders and top executives. We argue that common gender and the resulting social connections influence access to private information, wherby insiders benefit from greater information-sharing with top executives of the same gender. Using a large sample of US firms between 1995 and 2016, we find higher (lower) insider trading profitability for female (male) insiders in the presence of a female CEO or CFO. We also find that, in isolation, other social and professional commonalities, such as age, ethnicity, having attended the same university or having worked at the same firm also increase insider profitability, albeit to a lesser extent. Our evidence suggests that some of these commonalities enhance the common gender effect when combined with it. We examine formal interactions and find that attending meetings and serving on committees with top executives of the same gender enables private information-sharing, consistent with gender acting as an informational channel. We also document greater clustering of insiders' trades around the trades made by common gender top executives. Our findings are consistent with flows of private information from CEOs and CFOs to less informed common gender insiders.     

Does the market overweight imprecise information? Evidence from customer earnings announcements

We examine how supplier-firm shareholders respond to the earnings announcements of their major customers to test the moderated confidence hypothesis, which predicts overreaction to imprecise signals. In our setting, the moderated confidence hypothesis predicts that supplier shareholders will overreact to customer earnings news because that news contains imprecise information about the suppliers’ future cash flows. We find evidence that supplier earnings announcement abnormal returns are negatively correlated with supplier abnormal returns at the earlier customers’ earnings announcements, consistent with supplier overreaction. We also find evidence that the overreaction declines with the strength of the economic ties between the supplier and the customer.     

Margin trading and price efficiency: information content or price-adjustment speed?

The literature offers contradictory views on the effect of margin-trading activities on price efficiency. Based on data from a Chinese margin-trading pilot programme in 2010, we separate price efficiency into information content and price-adjustment speed and investigate the effect of margin-trading activity on price efficiency. We find that after adding to the eligible list, pilot stocks experience a decrease in information content, but an increase in price-adjustment speed. Furthermore, increased margin-buying activities are associated with lower information content, but faster price adjustment. Our results reconcile the debate over the effect of margin trading on price efficiency.     

How to detect illegal corporate insider trading? A data mining approach for detecting suspicious insider transactions

Only in the U.S. Stock Exchanges, the daily average trading volume is about 7 billion shares. This vast amount of trading shows the necessity of understanding the hidden insights in the data sets. In this study, a data mining technique, clustering based outlier analysis is applied to detect suspicious insider transactions. 1,244,815 transactions of 61,780 insiders are analysed, which are acquired from Thomson Financial, covering a period of January 2010–April 2017. In order to detect outliers, similar transactions are grouped into the same clusters by using a two‐step clustering based outlier detection technique, which is an integration of k‐means and hierarchical clustering. Then, it is shown that outlying transactions earn higher abnormal returns than non‐outlying transactions by using event study methodology.     

Does common ownership constrain managerial rent extraction? Evidence from insider trading profitability

This study identifies a new economic benefit of common institutional ownership, which refers to the increasingly contentious phenomenon of U.S. firms sharing stockholders with their industry competitors. We find a significantly negative relation between common ownership and insider trading profitability. The disciplinary effect of common ownership on opportunistic insider trading is particularly evident when the information effects of common ownership are greater, when common owners are more likely to benefit from positive governance externalities, and in the subset of trades made by opportunistic insiders. Using the exogenous variations in common ownership induced by financial institution mergers, we conduct a difference-in-differences analysis and find consistent results. We also provide evidence that common owners encourage firms to impose ex-ante restrictions on insider trading and take ex-post actions to discipline opportunistic insiders by voting against management. Overall, our findings suggest that common institutional shareholders have information advantages, governance incentives, and effective means to constrain opportunistic insider trading.     

Does insider trading explain price run‐up ahead of takeover announcements?

This study empirically examines the impact of changes in substantial shareholdings ahead of 450 Australian takeover offers between the years 2000 and 2009. Previous studies have attributed a significant proportion of the price run‐up effect in takeover targets to insider‐trading behaviour. This study examines the contribution of a broad range of public information sources that are known to typically generate market anticipation, including the acquisition of toeholds ahead of takeover announcements. Our findings show no significant pre‐bid run‐up for takeover targets after considering these sources. We conclude from these results that previous findings attributing pre‐bid share price run‐up to illegal insider trading may overstate the existence of such conduct.     

How efficient is the market for Australian firms’ earnings information?

We construct a measure of the speed with which forecasts issued by sell-side analysts accurately forecast future annual earnings. Following Marshall, we label this measure earnings information flow timeliness (EIFT). This measure avoids the aggregation problem inherent in price-based measures of information efficiency. We document large variation in EIFT across firm-years, and show that EIFT is positively associated with the extent of analyst following, consistent with increased analyst coverage improving the speed with which earnings-related information is recognised. We also find that EIFT is higher for firm-years classified as ‘bad news’ (i.e., where analysts’ forecasts at the start of the financial period exceed the reported outcome). However, when we separately consider instances where analysts appear to forecast non-GAAP (or ‘street’) earnings rather than GAAP earnings, we find that the greater timeliness of bad news is concentrated among observations where analysts forecast non-GAAP earnings, where unusual items are typically excluded. We conclude that the market for accounting information is more efficient for negative operating outcomes than for negative outcomes reflecting unusual items.     

Does high-frequency trading actually improve market liquidity? A comparative study for selected models and measures

The increasing volume of messages sent to the exchange by algorithmic traders stimulates a fierce debate among academics and practitioners on the impacts of high-frequency trading (HFT) on capital markets. By comparing a variety of regression models that associate various measures of market liquidity with measures of high-frequency activity on the same dataset, we find that for some models the increase in high-frequency activity improves market liquidity, but for others, we get the opposite effect. We indicate that this ambiguity does not depend only on the stock market or the data period, but also on the used HFT measure: the increase of high-frequency orders leads to lower market liquidity whereas the increase in high-frequency trades improves liquidity. We hypothesize that the observed decrease in market liquidity associated with an increasing level of high-frequency orders is caused by a rise in quote volatility.     

The IPO corporate social responsibility information disclosure: Does the stock market care?

We create textual information indices using corporate social responsibility (CSR) information extracted from IPO prospectuses in China. We use the indices to measure the issuers’ corporate social performance (CSP) and corporate environmental performance (CEP) and assess how the stock market reacts. We find that CSP disclosure is significantly related to the post‐market performance of the firm. Specifically, better CSP disclosure is correlated with higher post‐IPO listing holding period returns among firms that do not disclose donations or environmental expenditures, although the association does not hold for firms that make donations and environmental expenditures. In addition, institutional investors seem to care more about the CEP information for a firm than the CSP information.     

“Swimming Ducks Forecast the Coming of Spring”—The predictability of aggregate insider trading on future market returns in the Chinese market

This study systematically examines the ability of aggregate insider trading to predict future market returns in the Chinese A-share market. After controlling for the contrarian investment strategy, aggregate executive(large shareholder)trading conducted over the past six months can predict 66%(72.7%) of market returns twelve months in advance. Aggregate insider trading predicts future market returns very accurately and is stronger for insiders who have a greater information advantage(e.g., executives and controlling shareholders).Corporate governance also affects the predictability of insider trading. The predictability of executive trading is weakest in central state-owned companies,probably because the "quasi-official" status of the executives in those companies effectively curbs their incentives to benefit from insider trading.The predictive power of large shareholder trading in private-owned companies is higher than that in state-owned companies, probably due to their stronger profit motivation and higher involvement in business operations. This study complements the literature by examining an emerging market and investigating how the institutional context and corporate governance affect insider trading.