We test the impact of stock split rule changes on liquidity behavior in Bursa Malaysia during 2004-2020. Using event study methodology, this study examines stock liquidity on and around stock split days through three subperiods of study, including the first (2004-2006), second (2007-2009), and...

This study predicts stock splits using two ensemble machine learning techniques: gradient boosting machines (GBMs) and random forests (RFs). The goal is to form implementable portfolios based on positive predictions to generate abnormal returns. Since splits are rare events, we use SMOTE...

We examine daily short-selling activity and prices around reverse stock splits. Using a difference-in-difference approach with a matched sample of reverse splitting and non-reverse splitting stocks, we show that short selling increases in stocks that reverse split, relative to those that do not....

We propose a behavioral signaling framework to explain the positive announcement effects of stock splits. (Retail) investors view stock splits as good news and are loss averse. Thus, a stock split can boost investors’ expectations of the firm’s growth potential and its stock price, but may...

We test the impact of stock split rule changes on liquidity behavior in Bursa Malaysia during 2004-2020. Using event study methodology, this study examines stock liquidity on and around stock split days through three subperiods of study, including the first (2004-2006), second (2007-2009), and...

Stock split is a corporate strategy to increase the liquidity of shares by dividing the shares into multiple shares. As per efficient market hypothesis ( EMH) introduced by Eugene. F. Fama says that the capital market is efficient enough to fully reflect or absorb all available information in...

We report on an experiment studying how traders react to stock splits and reverse splits. In the first environment, two assets have increasing fundamental values, and one asset is subject to a 2-for-1 share split while the other is not. In the second environment, the fundamental values of both...

On August 11, 2020 at 16:59 EDT, Tesla announced a 5-for-1 stock split. The trading in the after-market and during the subsequent two days amounts to a unique financial economic experiment. Although stock splits have no fundamental impact on value, Tesla's stock price rose 17.94% in the two days...

Distorted prices misguide managerial incentives and resource allocation. Distorted prices may occur when firms' stock prices are near their 52-week highs because investors tend to perceive the stocks as relatively overvalued and are reluctant to bid prices higher even if new information warrants...

We propose a behavioral signaling explanation for the positive announcement effects of stock splits. There are two key behavioral ingredients in our model. First, (retail) investors have misconceptions about stock splits that make them view stock splits as good news. Second, investors are...

This article analyses the corporate (stock split) announcement impact on stock price behaviour in India by using 10 samples from different capitalization and different industries which ex-split (Corporate action) date in 2017. Event study and student t test used to know the results. The...

We develop a dynamic structural model of stock splits, in which managers can signal their private information though the timing of the split decisions. Our approach is consistent with the empirical evidence that shows that the majority of stock splits have 2:1 ratio but are announced at various...

We investigate CEOs who combine insider selling with stock splits, which is suspicious because dumping stocks is inconsistent with the positive stock-split signal. Our empirical results indicate that, compared with other splits, these suspicious splits are followed by a 53 percent lower...

Using a unique proprietary account-level trading dataset in China, we investigate how active information acquisition alleviates price-based return comovement, a typical anomaly in stock splits. We find that: 1) individual trading drives the comovement and the trading correlation between split...

The 2005 split-share reform in China mandated the conversion of previously non-tradable shares into tradable status. The reform was swift and changed investors' ability to trade corporate equities in a US$400 billion market. This paper examines the effects of the 2005 stock market reform on...

Finance research suggests that firms cater to investors' time-varying preference for low-priced stocks by managing nominal share prices. We show that the existing empirical tests of such catering use highly persistent data that may lead to finding significant relations between variables that are...

In this research I study whether stock splits attract market's attention by exploring how investors are trading around event announcement dates. By employing high frequency intraday trading data from NYSE Trades and Quotes (TAQ) database I compute net abnormal buying around split announcements....

We identify a group of "suspicious" firms that use stock splits--perhaps, along with other activities--to artificially inflate their share prices. Following the initiation of suspicious splits, share prices temporarily increase, and subsequently decline below their pre-split levels. Using...

Do firms conducting reverse splits underperform or overperform in the long run? To resolve this question we investigate the long-term returns following more than 5,000 reverse splits conducted in 24 developed equity markets between the years 1990 and 2016. Using the calendar-time portfolio...

This paper examines the impact of stock splits on liquidity in the Chinese stock market. Liquidity can be generally described as the ability to trade large quantities of financial assets quickly at low cost with less price impact. For stock splits, managers have incentives to use it to attract...

This article tries to explain the impact of corporate action (Stock splits) on stock price in India, which ex-splits date in the year 2017. This study includes twenty five stocks from different industries and different stock split ratios. To understand the price reactions to stock splits...

This paper aims to differentiate between optimistic splits and overoptimistic/opportunistic splits. Although markets do not distinguish between these two groups at the split announcement time, optimistic (over-optimistic/opportunistic) splits precede positive (negative) long-term buy-and-hold...

We investigate the impact of family control on both the share price level and the decision to split the firm's stock. Low stock prices are associated with higher volatility and have been shown to attract more speculative trading, which may force managers to excessively focus on short-term...

There is a standard trade-off in contracts between the provision of incentives and insurance. We hypothesize that this trade-off influences the precision with which firm performance is measured. We find that firm outcomes are measured less precisely when chance plays a large role in these...

This paper investigates the relation between institutional herding and stock splits. We use data on buying and selling activity of US institutional investors, from 1994 to 2005. We compute the abnormal correlation of trades among institutional investors in companies that have announced a stock...