Dividend Taxes, Investor Horizon and Idiosyncratic Volatility

2020 ◽  
Author(s):  
Oliver Zhen Li ◽  
Hang Liu ◽  
Chenkai Ni
Keyword(s):  
Stock Price ◽  
Trading Volume ◽  
Share Price ◽  
Idiosyncratic Volatility ◽  
Individual Investors ◽  
Short Term ◽  
Price Informativeness ◽  
Holding Period ◽  
Lock In ◽  
Dividend Tax

We examine whether dividend tax induced lock-in reduces idiosyncratic volatility. The 2012 Dividend Tax Reform in China tied individual investors' dividend tax to the length of their share holding period, with short-term individual investors entering into higher tax brackets. We find that high dividend firms experience a reduction in idiosyncratic volatility, relative to low dividend firms, after the reform. The effect is more pronounced when high dividend firms have more retail investors and exhibit greater uncertainty. High dividend firms also experience a reduction in stock price crashes. Finally, with reduced trading by individual investors who are likely less informed, earnings announcements of high dividend firms trigger less trading volume during the event window post-reform, but enable more complete price reactions. We conclude that dividend tax induced lock-in, through discouraging short-term individual investors' trading, stabilizes the market and improves share price informativeness.

Equity Price Pressure from the 1998 Reduction in the Capital Gains Holding Period

2002 ◽  
Vol 24 (s-1) ◽  
pp. 70-93 ◽  
Author(s):  
Jennifer L. Blouin ◽  
Jana Smith Raedy ◽  
Douglas A. Shackelford
Keyword(s):  
Portfolio Management ◽  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Capital Gains ◽  
Individual Investors ◽  
Capital Gains Tax ◽  
Marginal Tax Rate ◽  
Holding Period ◽  
Price Pressure

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.

IMMEDIATE AND LONGER-TERM STOCK PRICE DYNAMICS FOLLOWING LARGE STOCK PRICE CHANGES

2020 ◽  
Vol 15 (01) ◽  
pp. 2050002
Author(s):  
ANDREY KUDRYAVTSEV
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Trading Volume ◽  
Abnormal Returns ◽  
Market Model ◽  
Conditional Volatility ◽  
Short Term ◽  
Price Increases ◽  
Cumulative Abnormal Returns ◽  
Price Reversal

The study explores the correlation between the immediate and the longer-term stock returns following large daily price moves. Following the previous literature, which documents a tendency for price reversals after initial large price moves, I suggest that if a large stock price move is immediately followed by a short-term price drift, then it may indicate that the company-specific shock is more completely incorporated in the stock price, significantly increasing the probability of subsequent longer-term price reversal. Analyzing a vast sample of large stock price moves, I document that negative (positive) longer-term stock price reversals after large price increases (decreases) are significantly more pronounced if the latter are immediately followed by relatively high (low) short-term cumulative abnormal returns, that is, by short-term price drifts. The effect remains significant after accounting for additional company-specific (size, market model beta, historical, or conditional volatility) and event-specific (stock’s return and trading volume on the event day) factors.

Study on Theoretical Elasticity and Plasticity Model of the Stock Price Based on Material Distortion Theory

2011 ◽  
Vol 138-139 ◽  
pp. 1274-1279
Author(s):  
Su Zhang ◽  
Zuo Quan Zhang ◽  
Xuan Wu ◽  
Xiao Yue Li ◽  
Rong Zhu
Keyword(s):  
Stock Price ◽  
Trading Volume ◽  
Share Price ◽  
Model Parameters ◽  
Plasticity Model ◽  
Scientific Result ◽  
Volume Relationship ◽  
New Ideas ◽  
Relationship Of ◽  
The Relationship

According to the price volume relationship of the stock, with the help of the elasticity and plasticity theory in the physics, some new ideas like stock equilibrium price, share price elasticity, and share price plasticity are put forward. Then elasticity and plasticity model of the stock price are built on account of the relationship between share price and trading volume, and model parameters are tested by a kind of software calling Eviews from econometrics. In the end, we get relatively scientific result.

scholarly journals The Market Reaction Around Ex-Dates of Stock Splits Before and After Decimalization

2005 ◽  
Vol 08 (02) ◽  
pp. 201-216 ◽  
Author(s):  
Robin K. Chou ◽  
Wan-Chen Lee ◽  
Sheng-Syan Chen
Keyword(s):  
New York ◽  
Stock Price ◽  
Trading Volume ◽  
Stock Exchange ◽  
New York Stock Exchange ◽  
Short Term ◽  
Tick Size ◽  
York Stock Exchange ◽  
Before And After ◽  
Abnormal Trading Volume

This paper examines the stock price behavior around the ex-split dates both before and after the decimalization on the New York Stock Exchange (NYSE). We find that the abnormal ex-split day returns decrease and the abnormal trading volume increases in the 1/16th and decimal pricing eras, relative to the 1/8th pricing era. These findings are consistent with the microstructure-based explanations for the ex-day price movements. Our study also supports the hypothesis that short-term traders perform arbitrage activities during the ex-split dates when transaction costs become lower after the tick size is reduced.

scholarly journals The short-term mean reversion of stock price and the change in trading volume

2021 ◽  
Vol 29 (3) ◽  
pp. 190-214
Author(s):  
Woosung Jung ◽  
Mhin Kang
Keyword(s):  
Term Structure ◽  
Stock Price ◽  
Trading Volume ◽  
Price Index ◽  
Mean Reversion ◽  
Ratio Test ◽  
Short Term ◽  
Contemporaneous Correlation ◽  
The Mean ◽  
Response To Change

This study aims to analyze the effect of change in trading volume on the short-term mean reversion of the stock price in the Korean stock market. Through the variance ratio test, this paper finds that the market shows the mean reversion pattern after 2000, but not before. This study also confirms that the mean reversion property is significantly reduced if the effect of change in trading volume is excluded from the return of a stock with a significant contemporaneous correlation between return and change in trading volume in the post-2000 market. The results appear in both the Korea Composite Stock Price Index and Korea Securities Dealers Automated Quotation. This phenomenon stems from the significance of the return response to change in trading volume per se and not the sign of the response. Additionally, the findings imply that the trading volume has a term structure because of the mean reversion of the trading volume and the return also has a partial term structure because of the contemporaneous correlation between return and change in trading volume. This conclusion suggests that considering the short-term impact of change in trading volume enables a more efficient observation of the market and avoidance of asset misallocation.

scholarly journals FAKTOR YANG MEMPENGARUHI VOLATILITAS HARGA SAHAM PADA EMITEN YANG TERDAFTAR DI JAKARTA ISLAMIC INDEX

2021 ◽  
Vol 8 (6) ◽  
pp. 706
Author(s):  
Nurul Hidayati ◽  
Puji Sucia Sukmaningrum
Keyword(s):  
Stock Price ◽  
Trading Volume ◽  
Dividend Policy ◽  
Price Volatility ◽  
Share Price ◽  
Company Size ◽  
Stock Price Volatility ◽  
Dividend Payout ◽  
Earnings Volatility ◽  
Panel Data Regression

ABSTRAKTujuan dari penelitian ini yaitu meneliti pengaruh kebijakan dividen, volume perdagangan, volatilitas laba, ukuran perusahaan dan tingkat hutang terhadap volatilitas harga saham di emiten yang terdaftar di JII dari tahun 2015 sampai 2019. Adapun manfaat dari penelitian ini dalam eksistensi pasar finansial secara global karena dapat mengukur tingkat risiko. Penelitian ini dibantu dengan alat analisis Eviews 10. Regresi data panel dipilih dalam penelitian ini. Hasil penelitian membuktikan bahwa secara individual dividend payout ratio, volume perdagangan dan volatilitas laba secara positif memiliki pengaruh yang signifikan, ukuran perusahaan secara negatif memiliki pengaruh signifikan, dan tingkat hutang tidak memiliki pengaruh signifikan terhadap volatilitas harga saham. Secara simultan, variabel dividend payout ratio, volume perdagangan, ukuran perusahaan, volatilitas laba, dan tingkat hutang signifikan berpengaruh terhadap volatilitas harga saham. Kata Kunci: Volatilitas harga saham, emiten syariah, regresi data panel. ABSTRACTThe purpose of this study is to examine the effect of dividend policy, trading volume, earnings volatility, company size and level of debt on stock price volatility in issuers listed in JII from 2015 to 2019. The benefits of this research are in the existence of global financial markets because it can measure the level of risk. This research is assisted by the analysis tool Eviews 10. Panel data regression. selected in this study. The results showed that partially the dividend payout ratio, trading volume and earnings volatility had a positive and significant effect, company size had a negative and significant effect, and the level of debt had no significant effect on stock price volatility. Simultaneously, the variable dividend payout ratio, trading volume, company size, earnings volatility, and level of debt have a significant effect on stock price volatility. Keywords: Stock price volatility, sharia company, panel data regression. DAFTAR PUSTAKABawono, A., & Shina, A. F. I. (2018). Ekonometrika terapan untuk ekonomi dan bisnis Islam aplikasi dengan Eviews. Salatiga: Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) IAIN Salatiga Press.Brigham, E. F., & Houston, J. F. (2011). Dasar-dasar manajemen keuangan, buku kedua. Jakarta: Salemba Empat.Camilleri, S. J., Grima, L., & Grima, S. (2019). The effect of dividend policy on share price volatility: an analysis of Mediterranean banks’ stocks. Managerial Finance, 45(2), 348–364. https://doi.org/10.1108/MF-11-2017-0451Dewi, S., & Paramita, R. A. S. (2019). Pengaruh kebijakan dividen, volume perdagangan, earning volatility, leverage, dan firm size terhadap volatilitas harga saham perusahaan LQ45. Jurnal Ilmu Manajemen, 7(3), 761–771.Fakhruddin, H. M. (2008). Istilah pasar modal A-Z. Jakarta: Elex Media Komputindo.Gumanti, T. A. (2013). Kebijakan Dividen (Pertama). UPP STIM YKPN.Jahfer, A., & Mulafara, A. H. (2016). Dividend policy and share price volatility: Evidence from Colombo stock market. Internaltional Journal Managerial and Financial Accounting, 8(2), 97–108. DOI:10.1504/IJMFA.2016.077947Jannah, R., & Haridhi, M. (2016). Pengaruh kebijakan dividen, earning volatility, dan leverage terhadap volatilitas harga saham pada perusahaan non-financing yang terdaftar di bursa efek Indonesia tahun 2010-2014. Jurnal Ilmiah Mahasiswa Ekonomi Akuntansi, 1(1), 133–148.Mehmood, A., Ullah, M. H., & Ul Sabeeh, N. (2019). Determinants of stock price volatility: Evidence from cement industry. Accounting, 5(4), 145–152. https://doi.org/10.5267/j.ac.2019.2.002Muhamad. (2016). Manajemen keuangan syari’ah analisis fiqh & keuangan. Yogyakarta: UPP STIM YKPN.Novius, A. (2017). Analisis pengaruh kebijakan deviden ( Dividen payout ratio dan devidend yield) terhadap volatilitas harga saham (Studi empiris pada perusahaan kelompok LQ45 yang terdaftar di BEI). Jurnal Al-Iqtishad, 13(1), 67. https://doi.org/10.24014/jiq.v13i1.4389Rowena, J., & Hendra. (2017). Earnings volatility, kebijakan dividen, dan pertumbuhan asset berpengaruh terhadap volatilitas harga saham pada perusahaan manufaktur di BEI periode 2013 – 2015. Jurnal Administrasi Kantor, 5(2), 231–242.Sarmanu. (2017). Dasar metodologi penelitian. Surabaya: Airlangga University Press.Septyadi, M. A., & Bwarleling, T. H. (2020). Pengaruh volume perdagangan saham, leverage, dan kebijakan dividen terhadap volatilitas harga saham, 2, 149–162.Shah, S. A., & Noreen, U. (2016). Stock price volatility and role of dividend policy: Empirical evidence from Pakistan. International Journal of Economics and Financial Issues, 6(2), 461–472.Spence. (1973). Job market signaling. The Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010Tandelilin, E. (2010). Manajemen portofolio dan investasi. Surabaya: Kanisius.Yulinda, E., Pujiastuti, T., & Haryono, S. (2020). Analisis pengaruh dividend payout ratio, leverage, firm size, volume perdagangan, earning volatility, dan inflasi terhadap volatilitas harga saham pada perusahaan yang terdaftar dalam indeks LQ45 tahun 2014-2017. Jurnal Ilmiah Indonesia Ilmiah Indonesia, 5(5), 76. DOI:10.36418/syntax-literate.v5i5.1106Zainudin, R., Mahdzan, N. S., & Yet, C. H. (2018). Dividend policy and stock price volatility of industrial products firms in Malaysia. International Journal of Emerging Markets, 13(1), 203–217. https://doi.org/10.1108/IJoEM-09-2016-0250

scholarly journals Financial Literacy and Stock Price Informativeness: a Cross-Country Study

2018 ◽  
Vol 63 (1) ◽  
pp. 63-72
Author(s):  
Anita Todea
Keyword(s):  
Private Information ◽  
Stock Prices ◽  
Financial Literacy ◽  
Stock Price ◽  
Individual Investors ◽  
Specific Information ◽  
Price Informativeness ◽  
Stock Price Informativeness ◽  
The Individual ◽  
The Impact

Abstract This paper examines the impact of financial literacy on stock price informativeness in a sample of firms from 20 countries. Using four measures of stock price informativeness, we find a significant relationship between higher financial literacy and higher stock price informativeness. The individual investors’ contribution regarding the incorporation of specific information into stock prices includes private information also and not mere specific information in the general sense. Financial knowledge is the key element that helps individual investors to incorporate specific information into stock prices.

LIMIT-TO-ARBITRAGE FACTORS AND IVOL RETURNS PUZZLE: EMPIRICAL EVIDENCE FROM TAIWAN BEFORE AND DURING COVID-19

2021 ◽  
pp. 2150004
Author(s):  
KHOA DANG DUONG ◽  
QUI NHAT NGUYEN ◽  
TRUONG VINH LE ◽  
DIEP VAN NGUYEN
Keyword(s):  
Transaction Costs ◽  
Stock Returns ◽  
Trading Volume ◽  
Negative Relationship ◽  
Idiosyncratic Volatility ◽  
Individual Investors ◽  
Limits To Arbitrage ◽  
Trading Activities ◽  
Using Data ◽  
The Relationship

This paper examines the impacts of limit-to-arbitrage factors on the returns of the idiosyncratic volatility (IVOL) puzzle in Taiwan before and during the Covid-19 pandemic. Although various studies explore the relationship between stock returns and IVOL, the empirical findings are mixed. We are motivated by unique market microstructures in Taiwan, such as individual investors’ aggressive trading volume and low transaction costs in Taiwan, discouraging arbitrary trading activities. Our empirical results indicate a negative relationship between IVOL and stock returns by using data from the Taiwan stock market. However, the IVOL anomaly does not exist during the Covid-19 pandemic, even in the small stocks sample. Besides, our findings suggest that four proxies of limits-to-arbitrage, such as reversal, transaction costs, turnover and Amihud’s Illiquidity, have statistically significant impacts on the return of IVOL anomaly in Taiwan except for the pandemic period. Finally, our finding suggests that the stock turnover is the only limit-to-arbitrage factor that helps investors earn arbitrary profits during the COVID-19 period.

Stock Price and Trading Volume Effects Associated with Changes in the MSCI Free Indices: Evidence from Taiwanese Firms Added to and Deleted from the Indices

2004 ◽  
Vol 07 (04) ◽  
pp. 471-491 ◽  
Author(s):  
Pei-Gi Shu ◽  
Yin-Hua Yeh ◽  
Yu-Chen Huang
Keyword(s):  
Stock Price ◽  
Abnormal Return ◽  
Trading Volume ◽  
Abnormal Returns ◽  
Sampling Period ◽  
Efficient Market Hypothesis ◽  
Individual Investors ◽  
Long Run ◽  
Price Reversal ◽  
Run Up

This study analyzes price-volume relation for Taiwanese listed firms that are added to or deleted from the MSCI free indices in the sampling period from May 17, 1999 to May 21, 2001. Additions to the indices found a positive abnormal return of 3.9% in the run-up window from the announcement day up to one day before the change was implemented. This was followed by a significant reversal on the change day. The deleted firms exhibit an even stronger announcement effect, with a significant abnormal return of -9.1% in the run-up, followed by a reversal of 1.6% on the change day. Even when reversals occurred on the change day, the abnormal returns in the post-announcement window are positive for additions and negative for deletions. The results support the price-pressure and long-run downward-sloping-demand hypothesis and are inconsistent with the efficient market hypothesis. The abnormal trading volume for deletions is negative following the announcement, contradicting the findings of Lynch and Mendenhall (1997). This difference is due to the innate of the Taiwanese stock market, in which no dedicated market makers accommodate block trading. Moreover, the regression results confirm a positive volume-return relation before and a negative relation on and after the change day. Finally, the QFII net buy (sell) the added (deleted) stocks up to ten days after the change was implemented, while the Securities Investment Trusts and Securities dealers, having a shorter frame net, buy the added stocks up to two days after the effective change. Individual investors reversing position on the change day are responsible for the price reversal on the change day.

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