Purpose This study aims to evaluate the presence of abnormal returns due to stock splits or reverse stock splits in the Brazilian capital market context. Design/methodology/approach The event study technique was used on data from 518 events that occurred in a 30-year period (1987-2016),...

We examine the impact of cultural differences on nominal share prices across 63 countries from 2002 to 2018. Using institutional and catering theories, we assess how cultural dimensions—including World Governance Indicators (WGI), legal systems, religious influences, and GLOBE...

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...

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 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....

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 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...

This study investigates whether firm's management uses split ratios to target low price anchors in order to impact post-split ownership. We report anchoring bias for the lowest ranges of prices in the equity market and find specific price anchors among individual investors in the secondary...

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...

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...

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 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...

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 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...

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 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...

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...

Accurately calculated historical returns are critical inputs for investment decisions. We document that data vendors' adjustments to historical prices for dividends and stock splits result in inaccurate estimations of historical returns. We demonstrate several techniques that can be used to...

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...

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...

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....

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...