A systematic review of dividend policy in relation to stock price volatility

When it comes to determining a dividend policy that would maximize shareholder value, focusing merely on how much of the firm’s profit is necessary for dividend distribution and reinvestment is insufficient. It is critical to analyze the impact of their dividend choice on the stock price.The purpose of this study is to scrutinize the impact of dividend policy on stock price volatility. The report investigated the relationship between the dividend policy and stock price volatility taking 8 articles between 2010 to 2020. Likewise, following a systematic literature review method, the study critically analyzed the selected articles based on their strengths and weaknesses. The findings suggest that, in most of the cases demonstrated by authors, dividend policy has a significant negative relationship with the stock price volatility. The stock’s price volatility often decreases after the declaration of dividend payout ratio and dividend yield. Based on the results of this study, it can be implied that, managers of manufacturing companies and banks, those listed in the stock exchange, may be able to reduce the price volatility of their stock by increasing dividend payout and dividend yield. Since the study is limited to 4 databases, further studies could include some more articles from top-rated databases that signify dividend policy in diverse sectors to derive even more accurate results.

The impacts of IPO financing and monetary policy on economic growth in Bangladesh: Evidence from a dynamic assessment

The impact of dividend policy on stock price volatility is one of the most researched topics of corporate finance. This study investigates the relationship between stock price volatility and dividend policy among Bangladeshi financial service industry companies. Two key variables - dividend yield and dividend payout have been taken as the independent variables after controlling for firm size, asset growth, earnings volatility, long-term debt, and earnings per share. The stock price volatility has been taken as the dependent variable. Panel regression analysis is employed to explore the relationship of dependent with independent variables. Results reveal a significant positive relationship between stock price volatility and dividend yield among companies considered in this study. This study will help regulators and investors understand how the stock price fluctuates in response to financial information such as dividend announcements

Impact of Dividend Policy on Stock Price Volatility: An Empirical Study on Financial Service Industry of Bangladesh

The impact of dividend policy on stock price volatility is one of the most researched topics of corporate finance. This study investigates the relationship between stock price volatility and dividend policy among Bangladeshi financial service industry companies. Two key variables - dividend yield and dividend payout have been taken as the independent variables after controlling for firm size, asset growth, earnings volatility, long-term debt, and earnings per share. The stock price volatility has been taken as the dependent variable. Panel regression analysis is employed to explore the relationship of dependent with independent variables. Results reveal a significant positive relationship between stock price volatility and dividend yield among companies considered in this study. This study will help regulators and investors understand how the stock price fluctuates in response to financial information such as dividend announcements.

ESG Performance and Stock Price Volatility in Public Health Crisis: Evidence from COVID-19 Pandemic

Unlike traditional financial crises, COVID-19 is a global public health crisis with a significant negative impact on the global economy. Meanwhile, the stock market has been hit hard, and corporate share prices have become more volatile. However, the stock prices of some enterprises with good performance of ESG (Environment, Social, and Governance) are relatively stable in the epidemic. This paper selects ESG rating data from MSCI (Morgan Stanley Capital International) with better differentiation, adopts multiple regression and dummy variables, and adopts the Differences-in-Differences (DID)model with the help of COVID-19, an exogenous event. Empirical test the impact of ESG performance on the company’s stock price fluctuations. The results show that the stock price volatility of companies with good ESG performance is lower than that of companies with poor performance. Second, COVID-19 exacerbates volatility in company stock prices, but the increase in stock price volatility of companies with good ESG performance is small. That is, good ESG performance helps reduce the increase in stock price volatility due to COVID-19 shock, and plays a role in enhancing “resilience” and stabilizing stock prices. This paper provides new empirical evidence for the study of ESG performance and corporate stock price volatility, and puts forward relevant policy recommendations for enterprises and government departments.

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

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

DETERMINE OF STOCK PRICE VOLATILITY ON MINING COMPANIES ON THE INDONESIA STOCK EXCHANGE

The purpose of this study was to determine the effect of dividend policy, earning volatility, trading volume, exchange rates and interest rates on the volatility of stock prices in mining companies on the Indonesia Stock Exchange. The population studied in this study were all mining companies which were mining companies for the 2016-2019 period totaling 51. The sampling technique inthis study used a positive sampling method. The samples in this study were as many as 14 mining companies with the 2016-2019 observation year. The data analysis method used in this study is thepanel data regression analysis method. Dividend policy has a positive but insignificant effect on stock price volatility in mining companies on the Indonesia Stock Exchange. Profit volatility has a positive but insignificant effect on the volatility of share prices in mining companies on the Indonesia Stock Exchange. Trading volume has a positive and significant effect on the volatility of share prices in mining companies on the Indonesia Stock Exchange. Exchange rates have a positive and significant effect on stock price volatility in mining companies on the Indonesia Stock Exchange. Interest rates have a positive and significant effect on the volatility of share prices in mining companies on the Indonesia Stock Exchange.

Impact of Interest Rate on Stock Prices Volatility: A Case of Textile Sector of Karachi Stock Exchange

This study investigates the relationship between interest rate and stock price volatility in textile sector of Karachi Stock Exchange. Initially, EWMA model is used to calculate the volatility of stock prices. Stock returns are calculated as a proxy to stock prices. Afterwards, linear regression analyzes the relation between interest rate and stock price volatility. The significance F change is below the limit of 0.05 showing goodness-to-fit of the model to project the responses from predictor to be reliable. The research concludes the relationship of interest rate with volatility of stock prices as slightly inverse in nature.

Stock price volatility during the COVID-19 pandemic: The GARCH model

This study examined the response of stock prices on the Indonesia Stock Exchange (IDX) to COVID-19 using an event study approach and the GARCH model. The research sample is the closing price of the Composite Stock Price Index (JCI) and companies that are members of LQ-45 in the 40-day period before the COVID-19 incident, 1 day during the COVID-19 incident (March 2, 2020) and 10 days after, January 6, 2020 – March 16, 2020. Empirical findings prove that abnormal returns react negatively to COVID-19, JCI volatility fluctuates widely during the COVID-19 event, and the GARCH(1,2) model can be used to assess volatility and predict stock abnormal returns in IDX in market conditions infected with COVID-19. The practical implication of the study’s findings for investors is that the COVID-19 event caused stock price volatility, which affects abnormal returns. Therefore, to face the conditions of uncertainty and increased volatility in the future, several lines of risk management are needed in managing a stock portfolio. In addition, it also opens up opportunities for speculators to profit in an inefficient market environment. This study is based on the empirical literature currently being developed to investigate the phenomenon of stock price volatility behavior during COVID-19 on the IDX. The GARCH model used proves that during the COVID-19 pandemic, stock price volatility increases and leads to a decrease in abnormal returns. The empirical findings also validate the efficient market hypothesis theory related to the study of events and the theory of financial behavior related to uncertainty.

Firm-specific, macroeconomic factors and stock price risk for Jordanian banks

Internal (firm-specific) and external (macroeconomic) determinants of stock price fluctuations are vital for investors seeking to invest their money in a firm’s stocks. Thus, the main aim of this study is to explore macroeconomic and firm-specific factors that influence stock price fluctuations for all conventional banks in Jordan in 2010–2019. Ordinary least squares multiple regression (panel data) is applied for data analysis. The results report that trading volume (TV), dividend yield (DY), and Gross Domestic Product (GDP) have a positive effect on stock price volatility, while stock price volatility is statistically negatively affected by return on assets (ROA), dividend payout ratio (DPR), and price-earnings ratio (PE). On the other hand, money supply (MS) does not affect stock price volatility. Paying more dividends can reduce stock risk and, in turn, reduce stock price volatility. The findings can benefit current and potential investors, firm managers, brokers, dealers, portfolio managers, regulatory bodies, policy makers, and researchers.