scholarly journals The influence of CSR and corporate governance on the risk of share prices in banking in Indonesia

2020 ◽  
Vol 5 (02) ◽  
pp. 89
Author(s):  
Agnessa Britannia Paragina ◽  
Farah Margaretha Leon
Keyword(s):  
Corporate Governance ◽  
Social Responsibility ◽  
Multiple Regression ◽  
Stock Prices ◽  
Stock Price ◽  
Price Volatility ◽  
Share Price ◽  
Price Risk ◽  
Company Size ◽  
Stock Price Volatility

Abstract: This research was conducted to determine whether social responsibility and corporate governance actually have a significant effect on the risk of the company's stock price. The independent variable in this study is social responsibility and corporate governance, while the dependent variable is the risk of stock prices. There are four control variables in this study, namely company size, return on equity (ROE), earnings per share (EPS), and stock price volatility. This study collects data from 26 banking companies listed on the Indonesia Stock Exchange over a period of 5 years (2014-2018) and uses a multiple regression model for testing. The findings of this study indicate that social responsibility, company size, ROE, EPS, and stock price volatility have no significant effect on stock price risk. Meanwhile, corporate governance has a significant positive effect on stock price risk. The results of this research can be used to present a successful model for banking companies in Indonesia to concentrate more on social responsibility and corporate governance in mitigating their share price risk. All studies have used NCSKEW and DUVOL as measures of share price risk. In the novelty of this study, the Coefficient of Variation is used to measure the dependent variable so that the measurement can be distinguished from previous studies. Keywords: Banking Industry, Corporate Social Responsibility, Corporate Governance, Multiple Regression, Stock Price Risk

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 FAKTOR PENENTU BID-ASK SPREAD SAHAM LQ45

2020 ◽  
Vol 2 (1) ◽  
pp. 43-54
Author(s):  
Sabna Ainazah Fatikhah ◽  
Siti Puryandani
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Trading Volume ◽  
Linear Regression Analysis ◽  
Price Volatility ◽  
Multiple Linear Regression Analysis ◽  
Company Size ◽  
Stock Price Volatility ◽  
Company Stock ◽  
Bid Ask Spread

Investors always use various information to get the maximum profit in investment activities. One such information is the bid-ask spread. This study aims to determine the effect of company size, stock prices, stock price volatility and trading volume on the bid-ask spread of companies listed in the LQ45 index in the period 2015 to 2018. A total of 14 companies were taken as a purposive sampling sample in order to obtain 56 observational data. The analytical method used in this study is the method of multiple linear regression analysis. The results showed that stock prices and stock price volatility affect the bid-ask spread. While company size and trading volume do not affect bid-ask spread. Investors can consider the size of the company, stock prices, stock price volatility, and trading volume to avoid high spreads and get profit in the future.

scholarly journals DPR Sebagai Pemediasi Antara CAONS, DTAR, Dan GCG Pada Harga Saham

2021 ◽  
Vol 17 (1) ◽  
pp. 202-224
Author(s):  
Ainun Jariah
Keyword(s):  
Path Analysis ◽  
Stock Prices ◽  
Stock Price ◽  
Investment Decisions ◽  
Price Volatility ◽  
Share Price ◽  
Stock Price Volatility ◽  
Research Results ◽  
Share Prices ◽  
Dividend Policies

The company's performance projections are the focus of investors, especially investment decisions, funding decisions, and dividend policies, plus GCG which contribute to stock price volatility. The purpose of his research to detect the influence of CAONS, DTAR, and GCG individually and simultaneously on DPR and share prices, with DPR as a mediator. The number of samples 37 industry company registered on the BEI during 5 years since 2012. Analysis of data is path analysis and sobel tests for mediation variables. The research results explain that partially DTAR and GCG have a significant effect on DPR. but the share prices all three variables have no significant impact . Simultaneously CAONS, DTAR, and GCG have a significant impact on DPR and than no significant on share price. DPR has an effect and significant on share prices. Partially and simultaneously CAONS, DTAR, and GCG have no relationship to stock prices through DPR, and DPR is only able to mediate CAONS to stock prices. Keyword: CAONS, DTAR, GCG, DPR, and Stock Prices.

scholarly journals SENSITIVITAS FAKTOR EKONOMI MAKRO DAN MIKRO DALAM MEMPREDIKSI VOLATILITAS HARGA SAHAM PERUSAHAAN SEKTOR INDUSTRI FOOD & BEVERAGES

2019 ◽  
Vol 4 (1) ◽  
pp. 85-100
Author(s):  
Abdul Kohar ◽  
Nurmala Ahmar ◽  
Suratno Suratno
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Price Volatility ◽  
Share Price ◽  
Macroeconomic Factors ◽  
Stock Price Volatility ◽  
The Impact

The movement of macroeconomic factors can be used to predict the movement of the stock price, but different researchers are using different macroeconomic factors because there is still no consensus among them which macroeconomic factors that have an influence on stock prices. This study aimed to analyze and test the impact of macroeconomics factors which consisting of inflation, interest rates, exchange rate, and microeconomy factors, consisting of asset growth, growth earnings and sales growth to the volatility of stock prices on food and beverages companies listed in Indonesia Stock Exchange between 2011 and 2015 period. The study measure the sensitivity of inflation and interest rates and stock price volatility by regressing each variable with a share price which will produce the sensitivity value of each variable. A total of 66 samples are tested by using the classic assumption as the precondition for regression analysis techniques (multiple regressions). The results showed that inflation is partially affect the stock price volatility, Indonesia Interest Rate (SBI) is partially effect on stock price volatility, and exchange rate and microeconomics are partially no effect on stock price volatility.

scholarly journals LISTING OF SHARES OF SOME COMMERCIAL BANKS AND FINANCIAL SERVICES COMPANIES IN POLAND

2018 ◽  
pp. 43-51
Author(s):  
Sławomir Juszczyk
Keyword(s):  
Stock Prices ◽  
Financial Services ◽  
Commercial Banks ◽  
Stock Price ◽  
Stock Exchange ◽  
Price Volatility ◽  
Strongly Correlated ◽  
Stock Price Volatility ◽  
Warsaw Stock Exchange

The purpose of the research was to identify the volatilities of daily quotes of banks and financial services companies listed on Warsaw Stock Exchange in the six-year period ie 2011-2016. It was found that the volatility of the stock price of the eCard was the strongest correlated with BPH stock price volatility, while the volatility of KREDYTIN stock prices was strongly correlated with the volatility of BZ WBK shares, ING and PKO BP. The strongest correlation between the stock prices of banks and the surveyed financial services companies was on the day of their listing. Unlike banks, financial services companies are highly diversified.

scholarly journals Interaction between Industrial Policy and Stock Price Volatility：Evidence from China’s Power Market Reform

2018 ◽  
Author(s):  
Ye Fan ◽  
Zhicheng Zhang ◽  
Xiaoli Zhao ◽  
Haitao Yin
Keyword(s):  
Industrial Policy ◽  
Stock Prices ◽  
Stock Price ◽  
Price Volatility ◽  
Power Market ◽  
Green Energy ◽  
Market Reform ◽  
Stock Price Volatility ◽  
Price Fluctuations ◽  
The Impact

China combines green energy and industrial policy in its power market reform with various policy initiatives, including price support scheme for electricity from renewable sources and subsidies in the push for broader use of greener energy. This study focuses on the impacts of power market reform on the stock price volatility of listed power companies: 1) we use the Iterative Cumulative Sums of Squares (ICSS) algorithm to identify structural break points in stock prices; 2) we analyze the characteristics of stock price volatility based on the GARCH model; 3) we report the impact of power regulation on stock price fluctuations based on the Autoregressive Distributed Lag (ARDL) model. The result suggests three structural breaks in China’s power stock price volatility were related to the promulgation of power market reform policies. We find that industrial policies promote the reduction of power stock price fluctuations and its impact on power stock price volatility is consistent in the long run. However, our study also indicates the recent policies related to renewable energy do not have a very significant impact on the power stock market.

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

2021 ◽  
Vol 2 (2) ◽  
pp. 149-156
Author(s):  
MUHAMMAD SOHAIL KHALIL ◽  
MUHAMMAD AAMIR NADEEM ◽  
MUHAMMAD TAHIR KHAN
Keyword(s):  
Interest Rate ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Price Volatility ◽  
Stock Price Volatility ◽  
Relationship Of ◽  
The Relationship ◽  
Textile Sector

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.

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

2021 ◽  
Vol 18 (4) ◽  
pp. 12-20
Author(s):  
Endri Endri ◽  
Widya Aipama ◽  
A. Razak ◽  
Laynita Sari ◽  
Renil Septiano
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Practical Implication ◽  
Abnormal Returns ◽  
Garch Model ◽  
Price Volatility ◽  
Efficient Market Hypothesis ◽  
Empirical Literature ◽  
Stock Price Volatility ◽  
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.

scholarly journals Volatilitas Harga Saham: Leverage, Ukuran Perusahaan, Pertumbuhan Aset

2020 ◽  
Vol 4 (2) ◽  
pp. 196-208
Author(s):  
Hasna Rosyida ◽  
Amrie Firmansyah ◽  
Setyo Baskoro Wicaksono
Keyword(s):  
Stock Price ◽  
Price Volatility ◽  
Company Size ◽  
Stock Price Volatility ◽  
Share Prices ◽  
Management Evaluation ◽  
Final Sample ◽  
Study Results ◽  
Negative Effect ◽  
Asset Growth

This study examines the effect of leverage, company size, and asset growth on stock price volatility. This study uses data from all companies listed on the LQ45 index (BEI) from 2017 to 2019. Based on purposive sampling, this study obtained 31 financial statement data so that the final sample in this study amounted to 93 firm-year observations. Data analysis was analyzed using multiple regression analysis with Eviews 10 software. The study results concluded that leverage has a positive effect on stock price volatility, company size has a negative effect on stock price volatility, and asset growth has no effect on stock price volatility. This study's results can be used as material for management evaluation in increasing share prices so that this condition can attract investors' interest in investing in the company.

scholarly journals Effect of Dividend Policy Decision on Share Price Volatility (SPV) of Modaraba Companies Listed in Pakistan Stock Exchange (PSX)

2020 ◽  
Vol 18 (2) ◽  
pp. 175-189
Author(s):  
Dr. Muhammad Siddique ◽  
Keyword(s):  
Empirical Analysis ◽  
Stock Prices ◽  
Stock Price ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Price Volatility ◽  
Sampling Technique ◽  
Policy Decision ◽  
Share Price ◽  
Policy Decisions

This study aims to test the relationship between dividend policy decisions on the share price Volatility of Modaraba Companies quoted in the Pakistan stock exchange. The data for empirical analysis was collected from the Pakistan stock exchange, Recorder archive, and Ksestocks.com. By using the sampling technique, a sample of 19 Modaraba Companies was taken from 2010 to 2018. The empirical analysis was conducted using multiple regression techniques by employing a fixed effect model on panel data. This study also incorporated four control variables (size, growth, operating earning & level of debt) in empirical analysis to avoid multicollinearity problems between dividend policy measures and spurious regression. The results of the study validate the theory of relevance of dividend policy decisions on share price Volatility. Dividend policy has a negative and significant bearing on Stock price volatility. Higher leverage (debt level) leads to higher instability in stock prices. Firm earning volatility is positively associated with share price volatility. Firm size and firm's growth in terms of assets also has a negative but insignificant impact on share price Volatility

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