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Further Evidence on the Impact of Stock Splits on Trading Liquidity

Further Evidence on the Impact of Stock Splits on Trading Liquidity
Author: Józef Rudnicki
Publisher:
Total Pages: 11
Release: 2013
Genre:
ISBN:

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Stock splits have attracted the attention of academicians and practitioners for a long time. Many debates revolve around these often called "cosmetic” events that do not bring about any direct valuation implications. In spite of their simplicity and theoretically no motivation for any potential reaction this corporate event exerts influence on various stock's characteristics like liquidity, rates of return, shareholders' base etc. Considering the time period 2000-May 2011 the author examines the behavior of share volume following the stock splits of companies listed on the New York Stock Exchange and reports a 1-percent significant deterioration of this proxy of liquidity. Additionally, the greatest amplitude of abnormal changes in liquidity is observed during two trading sessions around the actual stock split although there is provided no new information to the market through the physical split of the shares outstanding since it is well-known in advance. The results obtained are indicative of the fact that splitting the stock as opposed to liquidity and/or trading range hypotheses on splits leads to liquidity deterioration what, in turn, should result in greater liquidity risk faced inter alia by brokers and/or market makers who may be willing to compensate for this unfavorable corollary of the corporate event at issue and, as a result, to charge higher transaction costs in the form of e.g. greater bid-ask spreads. On the other hand, shareholders, both existing and prospective, are likely to demand higher compensation for increased risk by requiring greater returns on such stocks.


Can Splits Create Market Liquidity? Theory and Evidence

Can Splits Create Market Liquidity? Theory and Evidence
Author: V. Ravi Anshuman
Publisher:
Total Pages:
Release: 2012
Genre:
ISBN:

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This paper joins practitioners in predicting that firms split their stocks to move them into an optimal trading range, thereby creating market liquidity. Consistent with empirical evidence, our theory predicts that splits should follow a period of stock price increase and should have positive announcement effects. The driving force behind our result stems from the minimum price variation restriction self-imposed by organized exchanges. This restriction results in additional transaction costs which are time varying and mean reverting. In the model, discretionary liquidity traders strategically time their trades to periods with relatively low discreteness-related execution costs. The ensuing temporal aggregation creates market depth and allows the market maker to breakeven at lower commissions. These commissions can be lower than those charged in an otherwise identical economy with continuous prices. We show that the benefits of temporal aggregation are higher for less liquid stocks. The optimal effective tick size (defined as the ratio of the tick size to the stock price) is, therefore, decreasing in natural liquidity. Since the exchange sets the tick size, a firm can choose its effective tick by splitting (or reverse splitting) its stock. In an economy that values liquidity, firms will split (reverse split) their stocks to enhance liquidity. The empirical evidence is consistent with our model. To maintain a constant effective tick, firms need a constant nominal price. Indeed, despite positive inflation, positive real interest rates and positive risk premiums, the average (nominal) price of stocks traded on the NYSE during the last 70 years has remained almost constant. Further, our model predicts that Japanese firms should split less frequently than American firms due to a more rigid tick size regulation on the Tokyo Stock Exchange. The evidence presented is consistent with this prediction. In the U.S. 56% of stock distributions can be classified as splits (i.e., stock dividends larger than 20%) whereas in Japan splits constitute only 6.2% of the sample of stock distributions.


A stock split event study using sector-indices vs. CDAX and some extensions of the standard market model

A stock split event study using sector-indices vs. CDAX and some extensions of the standard market model
Author: David Bosch
Publisher: GRIN Verlag
Total Pages: 23
Release: 2011-08-03
Genre: Business & Economics
ISBN: 364097543X

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Seminar paper from the year 2009 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,3, Humboldt-University of Berlin (Institut für Bank und Börsenwesen), course: Seminar of Banking and Financial Markets, language: English, abstract: There are many theories in literature which try to examine possible reasons for a stock split. While a stock split seems to be just a cosmetic corporate event, it is often claimed that the motivation to carry out a stock split is to signal future profitability or to bring the share price to a preferred trading-range. Additionally there are many papers published, where the impact of a stock split on liquidity and institutional ownership is examined. Some results of these studies are briefly discussed in the Literature Review. Most researchers calculate their abnormal returns with the market model by using the most common index in their economy. In this paper, I check whether sector-indices fit the data better than the CDAX does. In some cases, the sector-indices describe the stock returns better. Another topic of event studies that researchers of the finance area often deal with is whether the assumptions of the market model established by Fama, Fisher, Jensen and Roll (1969) do hold for daily stock returns. I will discuss some of the weaknesses when applied to financial time series and I present two models which can improve the efficiency of the model.


The Effect of Stock Splits on Liquidity and Excess Returns

The Effect of Stock Splits on Liquidity and Excess Returns
Author: Patrick J. Dennis
Publisher:
Total Pages:
Release: 2005
Genre:
ISBN:

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We examine the influence of firm ownership composition on both the abnormal returns at the announcement of a stock split and liquidity changes following a stock split. We find three results. First, the largest post-split increase in institutional ownership occurs for firms that had low institutional ownership before the split. Second, changes in liquidity are negatively related to the level of institutional ownership before the split. Last, the abnormal return following a split is negatively related to the level of institutional ownership before the split. These findings are important as they shed new light on the source of stock split announcement returns.


Changes in Trading Patterns Following Stock Splits and Their Impact on Market Microstructure

Changes in Trading Patterns Following Stock Splits and Their Impact on Market Microstructure
Author: Anand S. Desai
Publisher:
Total Pages:
Release: 1999
Genre:
ISBN:

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We reexamine the impact of stock splits on the volatility and liquidity of the stock. We develop a model of trading where the number of informed traders and changes in the volatility and liquidity are endogenously determined by changes in the number of noise traders. Our empirical evidence suggests that the increase in volatility after stock splits cannot be totally attributed to microstructure biases due to the bid-ask bounce and price discreetness. A significant fraction of the increase in volatility is due to an increase in the number of both noise and informed trades. Also consistent with our model's predictions, we find that the stock's liquidity worsens when the number of noise trades either declines or increases by a small amount. On the other hand, liquidity improves for large increases in noise trades, which is consistent with the managerial motive for stock splits. A crucial determinant of the increase in noise trades is the release of positive information to the market soon after the announcement of the split.


Market Liquidity

Market Liquidity
Author: Thierry Foucault
Publisher: Oxford University Press
Total Pages: 531
Release: 2023
Genre: Capital market
ISBN: 0197542069

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"The process by which securities are traded is very different from the idealized picture of a frictionless and self-equilibrating market offered by the typical finance textbook. This book offers a more accurate and authoritative take on this process. The book starts from the assumption that not everyone is present at all times simultaneously on the market, and that participants have quite diverse information about the security's fundamentals. As a result, the order flow is a complex mix of information and noise, and a consensus price only emerges gradually over time as the trading process evolves and the participants interpret the actions of other traders. Thus, a security's actual transaction price may deviate from its fundamental value, as it would be assessed by a fully informed set of investors. The book takes these deviations seriously, and explains why and how they emerge in the trading process and are eventually eliminated. The authors draw on a vast body of theoretical insights and empirical findings on security price formation that have come to form a well-defined field within financial economics known as "market microstructure." Focusing on liquidity and price discovery, the book analyzes the tension between the two, pointing out that when price-relevant information reaches the market through trading pressure rather than through a public announcement, liquidity may suffer. It also confronts many striking phenomena in securities markets and uses the analytical tools and empirical methods of market microstructure to understand them. These include issues such as why liquidity changes over time and differs across securities, why large trades move prices up or down, and why these price changes are subsequently reversed, and why we observe temporary deviations from asset fair values"--


The Market Reaction to Stock Splits - Evidence from India

The Market Reaction to Stock Splits - Evidence from India
Author: Asim Mishra
Publisher:
Total Pages:
Release: 2007
Genre:
ISBN:

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Stock splits are a relatively new phenomenon in the Indian context. This paper examines the market effect of stock splits on stock price, return, volatility, and trading volume around the split ex-dates for a sample of stock splits undertaken in the Indian stock market over the period 1999-2005. The traditional view of stock splits as cosmetic transactions that simply divide the same pie into more slices is inconsistent with the significant wealth effect associated with the announcement of a stock split. However, the empirical evidence confirms a negative effect on price and return of stock splits. The overall cumulative abnormal returns after the split are negative. These results suggest that stock splits have induced the market to revise its optimistic valuation about future firm performance, rejecting signaling hypothesis to which splits convey positive information to markets. Hence, stock splits have reduced the wealth of the shareholders. The results also show that presence of a positive effect on volatility and trading volume following the split events, thus suggesting that split events enhance liquidity.


The Impact of Clientele Changes

The Impact of Clientele Changes
Author: Ravi Dhar
Publisher:
Total Pages: 60
Release: 2009
Genre:
ISBN:

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We examine the trades of individual and professional investors around stock splits and find that splits bring about a significant shift in investor clientele. We find that a higher fraction of post-split trades are made by less sophisticated investors, as individual investors increase and professional investors reduce their aggregate buying activity following stock splits. This behavior supports the common practitioners' belief that stock splits help attract new investors and improve stock liquidity. The shift in clientele also influences return properties, price discovery, and asset prices: stocks exhibit stronger serial correlation after splits; stocks co-move more with the market index; and the introduction of new investors explains part of the positive post-split drift puzzle.