scholarly journals Dividend clientele, new insights, and new questions: the Brazilian case

2009 ◽  
Vol 8 (1) ◽  
Author(s):  
Jairo Laser Procianoy ◽  
Rodrigo S. Verdi

This paper analyzes the dividend clientele effect and the signaling hypothesis in the Brazilian stock market between 1996 and 2000. During this period, the dividend tax was zero and the capital gains tax varied between zero and 10%. Brazilian firms face two information regimes, which allow us to test the signaling hypothesis. From a sample of 394 observations studied, 39% show a first ex-dividend day stock price higher than the price on the last cum-dividend day. The market price is higher for unanticipated dividends but, even with pre-announced dividends, stock prices are higher than the expected level, which is inconsistent with the clientele hypothesis. We also find evidence of a positive abnormal volume around the unanticipated dividend date, which is consistent with the signaling hypothesis, but no abnormal trading volume around pre-announced dividend dates. Our findings are inconsistent with the clientele hypothesis but provide support for the signaling hypothesis.

2002 ◽  
Vol 24 (s-1) ◽  
pp. 70-93 ◽  
Author(s):  
Jennifer L. Blouin ◽  
Jana Smith Raedy ◽  
Douglas A. Shackelford

This paper provides evidence consistent with shareholders' personal tax incentives affecting stock prices and trading volume. On June 24, 1998, the marginal tax rate on capital gains was reduced from 28 percent to 20 percent for individual investors holding shares between 12 and 18 months. This study compares firms whose initial public shareholders immediately benefited from the reduction to other IPO firms. The sample of immediately affected firms recorded mean, incremental, one-day stock price declines of −1.3 percent amid heavy trading. The results are consistent with capital gains tax planning constraining investment portfolio management. When the constraint was lifted, enough shareholders sold that prices moved. The results imply that despite increasingly liquid capital markets, transaction costs remain large enough to prevent investors from entering the market immediately and fully offsetting downward price pressure from individual capital gains tax management.


2016 ◽  
Vol 8 (9) ◽  
pp. 226
Author(s):  
Tsung-Hsun Lu ◽  
Jun-De Lee

This paper investigates whether abnormal trading volume provides information about future movements in stock prices. Utilizing data from the Taiwan 50 Index from October 29, 2002 to December 31, 2013, the researchers employ trading volume rather than stock price to test the principles of resistance and support level employed by technical analysis. The empirical results suggest that abnormal trading volume provides profitable information for investors in the Taiwan stock market. An out-of-sample test and a sensitive analysis are conducted for the robustness of the results.


2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Cheïma Hmida ◽  
Ramzi Boussaidi

The behavioral finance literature has documented that individual investors tend to sell winning stocks more quickly than losing stocks, a phenomenon known as the disposition effect, and that such a behavior has an impact on stock prices. We examined this effect in the Tunisian stock market using the unrealized capital gains/losses of Grinblatt & Han (2005) to measure the disposition effect. We find that the Tunisian investors exhibit a disposition effect in the long-run horizon but not in the short and the intermediate horizons. Moreover, the disposition effect predicts a stock price continuation (momentum) for the whole sample. However this impact varies from an industry to another. It predicts a momentum for “manufacturing” but a return reversal for “financial” and “services”.


2020 ◽  
Vol 1 (1) ◽  
pp. 1-16
Author(s):  
Gama Paksi Baskara ◽  
Suyanto Suyanto ◽  
Sri Retnaning Rahayu

Trading volume is a sheet of company shares traded on a particular transaction and has beenagreed between the seller and the buyer, Simple Moving Average is a method that studies themovement of the previous stock price based on the number of certain days in order to predict thestock price that will occur to the next.The objective of the study is to find out how much influenceTrade Volume and Simple Moving Average on Stock Prices is and what are the most dominantaspects in influencing Stock Prices. The type of the research uses a quantitative approach, namely anapproach in which the data are in the form of numbers or qualitative data that have been used asnumbers. The technique of collecting data uses documentation. The analytical tool used is multiplelinear regression tests including T Test, F Test and Coefisein R² Determination processed usingEviews. The results of the study show that partially the trading volume variable does not have asignificant effect on Stock Prices and the Simple Moving Average variable shows a positive andsignificant effect on stock prices while the results of the research simultaneously show that theTrading Volume and Simple Moving Average variables simultaneously affect the Stock Price .


2021 ◽  
Vol 4 (2) ◽  
pp. 234-245
Author(s):  
Farhan Maulana ◽  
Ahmad Mulyadi Kosim ◽  
Abrista Devi

For companies that collect funds from the public through capital from capital market, it can be used to meet capital needs and finance the company’s operation. So that company is expected not to rely on commercial debt financing both from within the country and abroad. With stock split, it is hoped that it will increase investors’ interest in buying affordable shares. This study aims to determine whether the stock split has an effect on stock prices, trading volume, and stock return. The method used by the researcher uses quantitative secondary data methods by using descriptive statistical data test, then use the kolgomorov smirnov normality test, and using theaverage paired sample test. The results of this research is that: 1) stock price have a significant effect after the stock split occurs, 2) while the trading volume has no significant effect after the stock split occours, 3)  then stock return has a siginificant impact before and after the stock split because it is expected to have a positive impact for issuers and investors.


2020 ◽  
Vol 66 (10) ◽  
pp. 4726-4745
Author(s):  
Christopher Riley ◽  
Barbara Summers ◽  
Darren Duxbury

Financial models incorporating a reference point, such as the Capital Gains Overhang (CGO) model, typically assume it is fixed at the purchase price. Combining experimental and market data, this paper examines whether such models can be improved by incorporating reference-point adjustment. Using real stock prices over horizons from 6 months to 5 years, experimental evidence demonstrates that a number of salient points in the prior share price path are key determinants of the reference point, in addition to the purchase price. Market data testing is then undertaken by using the CGO model. We show that composite CGO variables, created by using a mix of salient points with weights determined in the experiment, have greater predictive power than the traditional CGO variable in both cross-sectional U.S. equity-return analysis and when analyzing the performance of double-sorted portfolios. In addition, future trading volume is more sensitive to changes in the composite CGO variables than to the traditional CGO, further emphasizing the importance of adjusting reference points. This paper was accepted by Tyler Shumway, Finance.


2020 ◽  
Vol 12 (7) ◽  
pp. 2823 ◽  
Author(s):  
Chun Jiang ◽  
Yi-Fan Wu ◽  
Xiao-Lin Li ◽  
Xin Li

This paper aims to examine whether there is inherent dynamic connectedness among coal market prices, new energy stock prices and carbon emission trading (CET) prices in China under time- and frequency-varying perspectives. For this purpose, we apply a novel wavelet method proposed by Aguiar-Conraria et al. (2018). Specifically, utilizing the single wavelet power spectrum, the multiple wavelet coherency, the partial wavelet coherency, also combined with the partial phase difference and the partial wavelet gains, this paper discovers the time-frequency interaction between three markets. The empirical results show that the connectedness between the CET market price and the coal price is frequency-varying and mainly occur in the lower and higher frequency bands, while the connectedness between the CET market price and the new energy stock price mainly happen in the middle and lower frequency bands. In the high-frequency domain, the CET market price is mainly affected by the coal price, while the CET market price is dominated by the new energy stock price in the middle frequency. These uncovered frequency-varying characteristics among these markets in this study could provide several implications. Main participants in these markets, such as polluting industries, governments and financial actors, should pay close attention to the connectedness under different frequencies, in order to realize their goal of the production, the policymaking, and the investment.


2010 ◽  
Vol 2 (1) ◽  
pp. 131-168 ◽  
Author(s):  
François Gourio ◽  
Jianjun Miao

To study the long-run effect of dividend taxation on aggregate capital accumulation, we build a dynamic general equilibrium model in which there is a continuum of firms subject to idiosyncratic productivity shocks. We find that a dividend tax cut raises aggregate productivity by reducing the frictions in the reallocation of capital across firms. Our baseline model simulations show that when both dividend and capital gains tax rates are cut from 25 and 20 percent, respectively, to the same 15 percent level permanently, the aggregate long-run capital stock increases by about 4 percent. (JEL D21, E22, E62, G32, G35, H25, H32)


2018 ◽  
Vol 19 (3) ◽  
pp. 707-721 ◽  
Author(s):  
Neeraj Nautiyal ◽  
P. C. Kavidayal

This study offers empirical findings on the impact of institutional variables on firm’s stock market price performance. In order to identify the influence of companies financial on NIFTY 50 Index, our sample consists of balanced panel of 30 actively traded companies (that becomes the study’s index representative) over a massive transition period, 1995–2014. Attempts have been made with a wide range of econometric models and estimators, from the relatively straightforward to (static) more complex (dynamic panel analyses) to deal with the relevant econometric issues. Results indicate that increasing debt in capital structure does not establish any significant relation with the stock prices. Earnings per share (EPS) shows a poor explanation of price variation. Economic value added (EVA) indicates a positive relation with current as well as previous year’s stock price performances. However, dividend payout (DIVP) and dividend per share (DPS) achieve negative relationship at moderately significant level. The present study confirms that performance of companies fundamental ratios will be essential and immensely helpful to investors and analysts in assessing the better stocks that belong to different industry groups.


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