Stock splits in a retail dominant order driven market

This paper uses intraday and daily data from the Stock Exchange of Thailand (SET) between 2002 and 2004 to provide evidence that firms use stock splits to bring their stock prices down to a preferred trading range of their clientele base. Stock splits reduce bid–ask spreads and intraday and daily price impact while increasing depths supplied by retail investors who account for 60–70% of trading on the SET. Firms that choose a high split factor experience greater improvement in liquidity. The study finds no evidence that split announcements are used to signal post-split earnings performance.     

REIT Stock Splits and Liquidity Changes

This study examines the motive of stock splits made by REITs. We find that REIT liquidity increases after the split announcement. However, the increase in liquidity is limited to days around the split announcement. After the ex-date, the liquidity tends to revert back to the pre-split level. We find that the positive market reaction around the announcement date is positively related to the change in short-term liquidity but not to the change in long-term liquidity. The announcement effect is also not correlated with future changes in operating performance. Overall, our results suggest that REITs split their share to attract investors’ attention rather than to signal or to improve trading liquidity in the long run.     

Stock splits, trading continuity, and the cost of equity capital

We hypothesize that managers use stock splits to attract more uninformed trading so that market makers can provide liquidity services at lower costs, thereby increasing investors’ trading propensity and improving liquidity. We examine a large sample of stock splits and find that, consistent with our hypothesis, the incidence of no trading decreases and liquidity risk is lower following splits, implying a decline in latent trading costs and a reduced cost of equity capital. Further, split announcement returns are correlated with the improvements in both liquidity levels and liquidity risk. Our analysis suggests nontrivial economic benefits from liquidity improvements, with less liquid firms benefiting more from stock splits.     

The Information Content of Multiple Stock Splits

We examine the relationship between the frequency of stock splits and firms' motives for splitting their stock. Compared to their peers, infrequent splitters show higher post‐split operating performance, but not so for frequent splitters. We find that split ratio and liquidity change explain the stock split announcement effect for the frequent splitters. In contrast, the change in operating performance in the split year explains the announcement effect for the infrequent splitters. Our results suggest that frequent splits are more consistent with the trading range‐improved/liquidity hypothesis and infrequent splits are more consistent with the signaling hypothesis.     

Corporate social responsibility and stock split

This study examines whether socially responsible companies are likely to conduct a stock split. We argue that these companies, compared to their counterparts, could use their strong corporate social responsibility (CSR) performance to reduce information asymmetry with shareholders, and therefore, are less likely to rely on stock splits to signal their future growth potentials. We find empirical evidence to support our hypothesis and investigate the reasons for the lower frequency of stock splits among CSR oriented firms. We find that more socially responsible firms experience a smaller increase in trading volume and a greater increase in bid-ask spread following a stock split than less socially responsible firms. Furthermore, our study finds that, when more socially responsible firms decide to conduct a stock split, they attract a greater proportion of institutional investors with long-term investment horizons.

     

Stock Splits and Liquidity: The Case of the Nasdaq-100 Index Tracking Stock

In an attempt to disentangle the signaling effect from the liquidity effect of stock splits, I examine the liquidity changes following the two‐for‐one split of the Nasdaq‐100 Index Tracking Stock. Since there can be no signaling with an index stock split, any difference between pre‐ and postsplit trading may be driven by liquidity but not signaling effects. I find that though the postsplit relative bid‐ask spread is higher and daily turnover is unchanged, the frequency, share volume, and dollar‐volume of small trades all increased after the split, indicating that the split improved liquidity for small trade‐sizes.     

FURTHER EVIDENCE ON THE LIQUIDITY EFFECTS OF STOCK SPLITS AND STOCK DIVIDENDS

Currently, there is a limited amount of empirical evidence suggesting that stock splits are associated with a decline in trading liquidity. This evidence directly contrasts with managements' professed intentions for undertaking a split. The evidence to date, however, is of a short-run nature. This study reexamines the liquidity effects of stock splits and stock dividends by assessing both their short- and long-term effects on trading liquidity (i.e., proportional trading volume and percentage bid-ask spreads). The results suggest that stock dividends are associated with decreased proportional trading volume in both the short term and long term, but stock splits are not. The results also indicate that neither stock splits nor stock dividends have an effect on percentage bid-ask spreads.     

The Effects of Stock Splits on Bid-Ask Spreads

This paper examines the effects of stock splits on bid-ask spreads for NYSE-listed companies. Percentage spreads increase after splits, representing a liquidity cost to investors. These spread increases are directly related to decreases in share prices following splits and can explain part, but not all, of the observed increase in return variability after splits. The evidence thus suggests a liquidity cost of stock splits that must be weighed against any other perceived benefits of splits. Such a liquidity cost may validate that stock splits are a signal of favorable information about the firm.     

Stock splits in a neutral transaction cost environment: Evidence from the Athens Stock Exchange

This paper investigates the value consequences of stock splits in a market where institutional characteristics minimize the effects of price realignment and signaling. We find that despite these market conditions, stock splits by Greek firms produce positive price reaction around the announcement day. Further, split factors are directly related to pre-split price levels and deviations from average market prices. Splitting firms also realize earnings improvement which is not reversed after the stock split. Consistent with these findings, market reaction is inversely related to the post-split target price and the size of firm. We interpret this as evidence in support, respectively, of the self-selection and “attention-gathering” hypotheses. As reported in other international studies, there is no evidence of liquidity improvement.     

Do stock splits signal future profitability?

This study examines whether stock split announcements contain information content about future profitability, measured in terms of future earnings change, future earnings, or future abnormal earnings. We find that the split announcement year has the highest earnings change and the earnings change declines substantially over the subsequent five years. Our empirical results show little evidence that stock splits are positively related to future profitability. In fact, stock splits are in general negatively related to future profitability in subsequent years after the announcement, except for dividend-paying firms with a split factor less than 0.5. This negative relation holds regardless of future profitability measure. Therefore, our empirical finding suggests that stock splits are not useful signals of a firm’s future earnings prospects. JEL Classification G30     

Reverse stock splits and earnings performance

This paper presents evidence that reverse stock splits are preceded by significantly poorer earnings performance for splitting firms compared to a sample of matched control firms. Interestingly, the overall earnings-returns relationship becomes significantly stronger following the reverse stock split. I interpret this as evidence that reverse splits communicate to market participants that sub-par earnings performance before the split is not transitory and that it is expected to persist in the future. Together, the evidence in this paper provides an explanation as to why reverse splits, which are employed for reasons that are seemingly beneficial to shareholders, are assessed negatively, on balance, by market participants.     

A microstructure examination of trading activity following stock splits

In a study of 1,131 stock splits spanning the period 1983–1989 we observe an increase in the number of trades as well as a reduction in the mean trade size following the split. Combined with earlier reported findings of an increase in the number of shareholders postsplit, we conclude that the number of liquidity traders increases after a split. We confirm the previously observed increase in the bid-ask spread following a split, and upon decomposition of the spread find an increase in its adverse selection component in the postsplit period. This is consistent with the finding by Brennan and Hughes (1991) of an increase in the number of analysts following a stock after a split. Further, observing a decrease in market depth following a split we determine that Kyle-type models incorporating diverse private information for informed traders most correctly describe the nature of security trading. Since this decrease in postsplit market depth is not related to the trading volume or the split factor, we reject price correction explanations for stock splits.     

Management friendship and insider opportunism

This study documents a significant increase in both trading activity and profitability of opportunistic top managers when a CEO develops a strong connection with subordinate executives through co-opting the executives who share social ties with him/her. This baseline evidence is robust to endogeneity concerns, alternative measures of management connection and insider opportunism, as well as controlling for other CEO and board attributes. Further analyses reveal that interpersonal connections between top managers are more likely to increase opportunistic insider trading in firms with lower-quality voluntary disclosures, more sociable executives, and relaxing legal barriers to insider trades. Increased insider opportunism in response to the CEO’s connection with other top executives engenders less informative stock prices and depresses stock market liquidity. Finally, insider trades in firms with stronger management connection are more predictive of future stock returns.     

TRADING PATTERNS OF SMALL AND LARGE TRADERS AROUND STOCK SPLIT EX-DATES

We investigate the trading patterns of small and large traders around stock split ex-dates. Using the intraday transaction database for the Toronto Stock Exchange during 1983–89, we find that stock splits are associated with significant changes in trading patterns. Although stock splits appear to have little effect on the trading behavior of large traders (trade value of at least $100,000), they are associated with significant decreases in odd-lot trading and increases in small board-lot trading (trade value of less than $10,000). Although the liquidity premia decrease for all trade sizes, trade direction changes significantly from sell to buy after split ex-dates for all but the large trades, where the change is in the opposite direction. The significant increase in variances after split ex-dates is explained by various microstructure-related variables, and small (large) trades appear to be (de)stabilizing.     

The Market Reaction to Stock Splits

In this paper, a model of market reaction to stock splits is presented and tested. We argue that the announcement of a split sets off the following chain of events. The market recognizes that, subsequent to the (reverse) split ex-day, the daily number of transactions along with the raw volume of shares traded will increase (decrease). This increase in volume results in an increase in the noisiness of the security's return process. The increase in noise raises the tax-option value of the stock, and it is this value that generates the announcement effect of stock splits. Empirical evidence using security returns, daily trading volume, and shareholder data strongly supports this theory. The evidence, in conjunction with this theory, also agrees with extant literature that splits result in decreased liquidity, but there is no evidence that this reduction in liquidity is priced.     

THE LIQUIDITY ROUTE TO A LOWER COST OF CAPITAL

The managements of many public companies do not pay much attention to the liquidity of their securities. Many if not most CEOs and CFOs feel powerless to affect what goes on in financial markets, and a common attitude among top executives is that maintaining liquidity is the concern of the securities exchanges and the Securities and Exchange Commission. This approach may work for those companies whose stocks are already highly liquid—a group made up mainly of large‐cap companies, as well as a number of smaller high‐flying, high‐tech firms. But, for the vast majority of public companies—especially smaller and mid‐sized firms—this is likely to be the wrong policy. As the authors of this article demonstrated in their pioneering study (published in the Journal of Financial Economics in 1986), liquidity appears to be a major determinant of a company's cost of capital. As their theory suggests and their empirical tests confirmed, the more liquid a company's securities, the lower its cost of capital and the higher its stock price. And, as discussed in this article, academic research since then has produced a large and impressive body of evidence linking greater liquidity to higher stock prices. Although recent technological innovations such as Internet‐based trading have increased liquidity generally, not all companies appear to have benefited equally. The authors offer a number of suggestions for companies intent on increasing the liquidity of their stock. Specifically, they propose that managers do the following: (1) consider measures, such as stock splits, designed to increase their investor base by attracting small investors; (2) seek trading venues for their securities that promise to increase liquidity; and (3) take advantage of the new Internet technology to provide more and better information to investors. Moreover, for smaller companies with little or no analyst coverage, the authors offer the radical suggestion that such companies actually pay analysts to cover their stock, much as companies pay Moody's or Standard & Poors to rate their bonds. This, in the authors' view, would be a more efficient alternative to the current practice of using stock splits to encourage intermediaries to make markets in the firm's shares.     

Insider Trading and Firm Performance Following Open Market Share Repurchase Announcements

The long‐run performance of equity securities subsequent to announcements of open market repurchases (OMR) remains a contentious topic. In this paper we propose the “dichotomous expectations hypothesis” which posits that insider trading following share repurchase announcements reveals private information concerning the future operating performance of announcing firms. In particular, insider abnormal purchases (abnormal sales) should predict an improvement (decline) in operating performance that leads to higher (lower) long‐run stock returns. Our hypothesis offers a credible economic link between insider trading and subsequent long‐run stock performance through the intervening variable of operating performance. The empirical results show consistency with this linkage.     

Stock Splits and Bond Yields: Isolating the Signaling Hypothesis

One explanation offered for stock splits is that the split signals positive information by reducing the stock price range in expectation of improved future prospects. Price declines also lead to changes in stock price dynamics, but related securities are not subject to these other changes and therefore can be used to provide a separate assessment of the markets’ interpretation of the split. We examine corporate bond issues around stock splits and find a significant decline in the bond yield spread following stock splits, supporting the signaling hypothesis. We also confirm improvements in forecasted and realized earnings subsequent to stock splits.     

Stock dividends in China: signalling or liquidity explanations?

We test alternative hypotheses on a sample of Chinese stock dividends. The inverse Mills ratio, a signal about future performance, is positively related to announcement returns but does not predict higher future performance. Analysts do not revise their earnings forecasts after the announcement date. Our results are more consistent with liquidity‐based theories. We find that managers choose higher stock dividend ratios if share prices deviate more from the industry‐wide average. Increases in proportional spreads, depth, and the number of trades and decreases in average trade size, and price impact suggest greater participation of liquidity and small investors following stock dividends.     

On the Stability of the Cross‐Section of Expected Stock Returns in the Cross‐Section: Understanding the Curious Role of Share Turnover

In this paper, we shed further light on cross‐sectional predictors of stock return performance. Specifically, we explore whether the cross‐section of expected stock returns is robust within stock groups sorted by past monthly return. We find that the book/market and momentum effects are remarkably robust to sorting on past returns. However, share turnover is negatively related to future returns for stocks with abnormally low stock price performance in the recent past, but postively related to returns for well‐performing stocks. This casts doubt on the use of turnover as a liquidity proxy, but is consistent with turnover being a proxy for momentum trading which pushes prices in the direction of past price movements. Our results are robust to both NYSE/AMEX and Nasdaq stocks, and also robust to stratifying the sample by time period.