The impact of interest rate changes on stock price volatility

1990 ◽  
Vol 16 (2) ◽  
pp. 63-68 ◽  
Author(s):  
Peter S. Spiro
2018 ◽  
Vol 13 (1) ◽  
pp. 203-217 ◽  
Author(s):  
Rozaimah Zainudin ◽  
Nurul Shahnaz Mahdzan ◽  
Chee Hong Yet

Purpose The purpose of this paper is to analyse the relationship between stock price volatility (SPV) and dividend policy of industrial products firms listed on Bursa Malaysia. Design/methodology/approach The sample comprises 166 industrial products public-listed firms covering a time span from year 2003 to 2012. Using Baskin’s framework, firm’s SPV is related to dividend payout, controlling for earnings volatility, firm size, leverage and growth of assets. Further, the impact of the global financial crisis on the relationship between SPV and the tested variables is examined. Findings Earning volatility significantly explains SPV of industrial product firms during the crisis period, while dividend payout ratio (PR) predominantly influences volatility during pre- and post-crisis sub-periods. The empirical results indicate that dividend policy is a strong predictor of SPV of industrial products firms in Malaysia, particularly during the post-crisis period. Originality/value The paper explores the firm’s SPV and dividend policy for a new set of data focussing on industrial products firms listed on the Malaysian Stock Exchange.


Author(s):  
Ye Fan ◽  
Zhicheng Zhang ◽  
Xiaoli Zhao ◽  
Haitao Yin

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.


2021 ◽  
Vol 2 (2) ◽  
pp. 149-156
Author(s):  
MUHAMMAD SOHAIL KHALIL ◽  
MUHAMMAD AAMIR NADEEM ◽  
MUHAMMAD TAHIR KHAN

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.


2021 ◽  
Vol 3 (1) ◽  
pp. 16-37
Author(s):  
Gatot Nazir Ahmad ◽  
Roh Ajiasri ◽  
Ari Warokka

This research was conducted to know the company's characteristics, the determining factors for the disclosure of carbon emissions, and the impact of the disclosure of carbon emissions on economic consequences. The financial result in this study is the decision-making behavior of businesses, governments, and creditors as a result of accounting reporting, in this case, environmental disclosures contained in annual reports and sustainable reports. This study's sample amounted to 45 companies registered in Indonesia, Malaysia, Thailand, and the Philippines, with an observation period of 2008 to 2017. To measure the disclosure of carbon emissions by creating a checklist based on information from the CDP. Company characteristics are proxied by profitability, leverage, size, and sales growth, while economic consequences are proxied by the bid-ask spread, trading volume, and stock price volatility. The analytical method used in this study is the Partial Least Square (PLS) method using the WARP PLS version 5.0 application. From the test results, it was found that Profitability and Size had a positive effect on disclosure of carbon emissions, growth sales had a negative effect, and leverage had no effect. Meanwhile, the impact of disclosing carbon emissions on the bid-ask spread, trading volume, and stock price volatility has a positive effect.


2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Sagira Sultana Provaty

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


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