Reaksi Pasar Modal Indonesia Atas Aksi Stock Dividends Dan Stock Splits Serta Implikasinya Terhadap Harga Saham

Penelitian reaksi pasar modal akibat aksi stock dividends dan stock splits dibeberapa Pasar Modal Dunia menemukan hasil berbeda. Penelitian ini untuk mengetahui reaksi pasar modal Indonesia akibat aksi stock dividends dan stock splits serta pengaruhnya terhadap harga saham. Bentuk penelitian adalah studi peristiwa dengan jendela 7 hari sebelum dan sesudah aksi. Dengan purposive sampling maka terdapat 75 sampel dengan 5 sampel melakukan aksi stock dividends dan 70 aksi stock splits. Menggunakan Uji t satu sampel, Uji t sampel berpasangan atau wilcoxon test dan regresi sederhana menghasilkan: aksi stock dividend menyebabkan pasar modal bereaksi disepanjang t-7 sampai t+7 dan berdistribusi normal, aksi stock splits menyebabkan pasar modal bereaksi pada t-3 sampai t+3 dan berdistribusi tidak normal, terdapat perbedaan reaksi pasar atas kedua aksi, stock dividend berpengaruh terhadap harga saham sementara stock splits tidak. Adanya reaksi pasar terhadap aksi stock dividend maupun stock splits memberikan bukti empiris mendukung teori signalling

Research on the Prediction of A-Share “High Stock Dividend” Phenomenon—A Feature Adaptive Improved Multi-Layers Ensemble Model

Since the “high stock dividend” of A-share companies in China often leads to the short-term stock price increase, this phenomenon’s prediction has been widely concerned by academia and industry. In this study, a new multi-layer stacking ensemble algorithm is proposed. Unlike the classic stacking ensemble algorithm that focused on the differentiation of base models, this paper used the equal weight comprehensive feature evaluation method to select features before predicting the base model and used a genetic algorithm to match the optimal feature subset for each base model. After the base model’s output prediction, the LightGBM (LGB) model was added to the algorithm as a secondary information extraction layer. Finally, the algorithm inputs the extracted information into the Logistic Regression (LR) model to complete the prediction of the “high stock dividend” phenomenon. Using the A-share market data from 2010 to 2019 for simulation and evaluation, the proposed model improves the AUC (Area Under Curve) and F1 score by 0.173 and 0.303, respectively, compared to the baseline model. The prediction results shed light on event-driven investment strategies.

Stock Dividend Ex-Day Abnormal Return

This study examines the impact of the ex-day of stock dividend on stock return and volume on Borsa Istanbul stock exchange. The data covers 1,220 stock dividends associated with 305 companies over the period 1997-2018. A positive abnormal return and volume is seen around the ex-day of stock dividend. The cumulative average excess return over market return starts to significantly rise ten days before ex-day and reaches its highest level on the ex-day before falling back in the days following. Our findings show that abnormal return around ex-day is strongly associated with stock dividend pay-out ratio, asset size and a company’s market value. The share of listed companies with higher stock dividend pay-out ratio or lower asset size or lower market capitalization, can generate respectively 5.97%, 6.08% and 5.88% abnormal return over market index return.

The Value of the Tax Deferral Option

This study explores the value of the tax deferral option. By examining ex-day stock-price-change ratios for taxable stock dividends in Taiwan, we find that the tax deferral option is valuable to investors. For a $1 taxable stock dividend, the tax deferral option produces 33.9 ¢ in tax savings, which suggests a tax deferral parameter of 11.3%. We also find that stocks with the tax deferral option have higher trading volumes around ex-days than those without this option, and that higher investor-level tax rates lead to higher value of the tax deferral option. We contribute to the literature by cleanly determining the value of the tax deferral option; our result is not confounded by the restart option.

Stress and Struggle inside International Harvester

At International Harvester, a 1902 merger, the defining feature was discord. A J. P. Morgan financier by the name of George W. Perkins and a formal agreement initiated changes to mitigate stress and struggle. Existing research dates improvement to 1906. This paper extends the analysis and documents that, among changes, entrepreneur William Deering and his children parted with some holdings, helping to diminish tensions. Meanwhile, the McCormicks agreed to a stock dividend. This action helped mellow strife and augment their power. How did discord affect efficiency? The conventional answer centers on management along with expansion abroad, but that analysis is enhanced through study of seven brands and their local factories, pricing, and an antitrust consent decree. When a voting trust ran out its clock in 1912, conflict at International Harvester was receding. The firm’s record suggests various governance formats could yield efficiency and profitability.

Analysis Of Corporate Actions And Effect On Stock Trading The Indonesia Stock Exchange

This study aims to look at the effect of the corporate action against trading on the Stock Exchange be something interesting to do research on five companies that perform corporate actions. Data were analyzed using descriptive methods and comparative analysis of the event study method with a different test two parties. Event windows use 15 days prior to the corporate action and 15 days after the corporate action. Results of research on five companies that perform corporate actions earned actions stock buy-backs, stock-dividend and stock split no significant effect on actual returns after the announcement date. On the trading frequency, action stock-buyback have significant differences, whereas stock dividend and stock-split not. On average trading value, action stock-dividend and stock-buyback not any significant difference, while stock-split showed a significant difference. The study results are not normal events of their return on stock dividends 7 days after the date of announcement of the action stock-split-return normal not occur on days 3 and 4, while on the corporate action buy-back not occur. Stock-dividend while the information content contained in stock-split and buy-back did not show a significant investor reaction.