The Impact of Trade Characteristics on Stock Return Volatility: Evidence from the Australian Stock Exchange

2009 ◽  
Vol 38 (2) ◽  
pp. 163-186
Author(s):  
Alex Frino ◽  
Reuben Segara ◽  
Hui Zheng
Keyword(s):  
Stock Return ◽  
Stock Exchange ◽  
Return Volatility ◽  
Stock Return Volatility ◽  
The Impact

Macroeconomic Sensitivity, Risk-Return Trade-Off and Volatility Dynamics Evidence From Developed and Developing Markets

2019 ◽  
Vol 6 (1) ◽  
pp. 1-16
Author(s):  
Faisal Khan ◽  
Hashim Khan ◽  
Saif Ur-Rehman Khan ◽  
Muhammad Jumaa ◽  
Sharif Ullah Jan
Keyword(s):  
Stock Returns ◽  
Stock Return ◽  
Stock Exchange ◽  
Three Dimensions ◽  
Leverage Effect ◽  
Return Volatility ◽  
Macroeconomic Factors ◽  
Stock Return Volatility ◽  
Risk Return ◽  
The Impact

This study aims to examine the impact of macroeconomic factors on the stock return volatility along with the pricing of risk, and asymmetry and leverage effect on a comparative basis for the USA and UAE markets. Further, these three dimensions are also investigated with regard to various firm's features (such as firm's size and age). The daily data for the period 4th January 2010 to 29th December 2017 of firm stock returns from the New York Stock Exchange (NYSE), the Abu Dhabi Securities Exchange (ADSE), and the Dubai Financial Market (DFM) is considered and three time-series models were applied. The results from GARCH (1. 1) indicated that all the economic factors have significant impact on the stock return volatility in both the markets. Similarly, the study also found evidence of asymmetry & leverage effect using EGARCH in the NYSE (for all firms) and the UAE (partially). Finally, for a majority of the firms, a positive risk-return relationship is found in the UAE and a negative risk-return relationship is found in the NYSE using GARCH-in the mean. Interestingly, these results in context of both markets were different with respect to various firm features such as firm size and age. In light of these results, it is concluded that both the markets have different dynamics with regard to all three dimensions. Hence, the investors have a clear opportunity to diversify their risk and investments across developed and emerging markets.

Impact of board structure, board activities and institutional investors on the firm risk: evidence from India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pankaj Chaudhary
Keyword(s):  
Institutional Investors ◽  
Stock Return ◽  
Stock Exchange ◽  
Independent Directors ◽  
Board Structure ◽  
Return Volatility ◽  
Method Of Moment ◽  
Content Type ◽  
Stock Return Volatility ◽  
The Impact

PurposeStock return volatility is an important aspect of financial markets which requires specific attention of researchers. This study examines the impact of board structure, board activities and institutional investors on the stock return volatility of the Indian firms.Design/methodology/approachThe author had selected the non-financial companies of the National Stock Exchange (NSE), which form the part of the NSE 500 index. Regression models had been estimated using the system generalised method of moment (GMM) framework designed by Arellano and Bover (1995) and Blundell and Bond (1998) to deal with endogeneity concerns.FindingsThe author found that the stock return volatility was affected by the institutional investors, particularly pressure-insensitive (PI) investors. Moreover, this study supported the non-linear relationship between stock return volatility and institutional investors. Unlike developed world, the author found that the independent directors were positively associated with the stock return volatility.Research limitations/implicationsIt is important for the investors and regulators to understand that the behaviour of the institutional investors depends on its class and having more independent directors will not ensure containment of the stock return volatility as suggested in previous literature reviews.Originality/valueMost of the prior studies have used simple standard deviation (SD) to compute stock return volatility. In this study, besides SD, the author used the generalised autoregressive conditional heteroskedasticity (GARCH) model to compute the stock return volatility of the firms.

scholarly journals Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System

2021 ◽  
Vol 9 (2) ◽  
pp. 24
Author(s):  
Athanasios Tsagkanos ◽  
Konstantinos Gkillas ◽  
Christoforos Konstantatos ◽  
Christos Floros
Keyword(s):  
Sovereign Debt ◽  
Trading Volume ◽  
Stock Return ◽  
Stock Exchange ◽  
Debt Crisis ◽  
Banking System ◽  
Return Volatility ◽  
Stock Return Volatility ◽  
Intraday Data ◽  
The Impact

The present research investigates the impact of trading volume on stock return volatility using data from the Greek banking system. For our analysis, the empirical study uses daily measures of volatility constructed from intraday data for the period 5 January 2001–30 December 2020. This period includes several market phases, such as the latest financial crisis, the European sovereign debt crisis and enforcement of restrictions on transactions owing to capital controls on the Athens Stock Exchange in June 2015. Based on the estimated quantile regressions, we find evidence of a direct impact of the trading volume on stock return volatility mainly in all quantiles. The findings extrapolated are of relevance and interest to financial (banking) analysts, policy makers and practitioners concerned with intraday data and volatility modeling.

scholarly journals Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market

2018 ◽  
Vol 10 (10) ◽  
pp. 3361 ◽  
Author(s):  
Junru Zhang ◽  
Hadrian Djajadikerta ◽  
Zhaoyong Zhang
Keyword(s):  
Stock Returns ◽  
Portfolio Management ◽  
Stock Return ◽  
Return Volatility ◽  
Chinese Stock Market ◽  
Stock Return Volatility ◽  
News Release ◽  
Volatility Persistence ◽  
Google Search ◽  
The Impact

This paper examines the impact of firms’ sustainability engagement on their stock returns and volatility by employing the EGARCH and FIGARCH models using data from the major financial firms listed in the Chinese stock market. We find evidence of a positive association between sustainability engagement and stock returns, suggesting firms’ sustainability news release in favour of the market. Although volatility persistence can largely be explained by news flows, the results show that sustainability news release has the significant and largest drop in volatility persistence, followed by popularity in Google search engine and the general news. Sustainability news release is found to affect positively stock return volatility. We also find evidence that market expectation can be driven by the dominant social paradigm when sustainability is included. These findings have important implications for market efficiency and effective portfolio management decisions.

Capital Gains Taxes and Stock Return Volatility

2013 ◽  
Vol 35 (2) ◽  
pp. 1-31 ◽  
Author(s):  
Zhonglan Dai ◽  
Douglas A. Shackelford ◽  
Harold H. Zhang
Keyword(s):  
Stock Returns ◽  
Stock Return ◽  
Cash Flows ◽  
Capital Gains ◽  
Return Volatility ◽  
Capital Gains Tax ◽  
Tax Rate ◽  
Stock Return Volatility ◽  
Capital Gains Taxes ◽  
The Impact

ABSTRACT This paper presents an empirical investigation of the impact of capital gains taxes on stock return volatility. We predict that the more stock returns are subject to capital gains taxation, the greater the increase in return volatility following a capital gains tax rate cut due to reduced risk-sharing in firms' cash flows between shareholders and the government. Consistent with this prediction, we find larger increases in the return volatility for more appreciated stocks than for less appreciated stocks and for non-dividend-paying stocks than for dividend-paying stocks after both 1978 and 1997 capital gains tax rate reductions. The findings imply that capital gains taxes convey a heretofore overlooked benefit of lower stock return volatility.

scholarly journals THE VOLATILITY TRANSMISSION OF MAIN GLOBAL STOCK'S RETURN TO INDONESIA

2017 ◽  
Vol 20 (2) ◽  
pp. 229-256
Author(s):  
Linda Karlina Sari ◽  
Noer Azam Achsani ◽  
Bagus Sartono
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Markets ◽  
Stock Return ◽  
Global Financial Crisis ◽  
Symmetric Model ◽  
Return Volatility ◽  
Stock Return Volatility ◽  
Volatility Transmission ◽  
The Impact

Stock return volatility is a very interesting phenomenon because of its impact on global financial markets. For instance, an adverse shocks in one country’s market can be transmitted to other countries’ market through a particular mechanism of transmission, causing the related markets to experience financial instability as well (Liu et al., 1998). This paper aims to determine the best model to describe the volatility of stock returns, to identify asymmetric effect of such volatility, as well as to explore the transmission of stocks return volatilities in seven countries to Indonesia’s stock market over the period 1990-2016, on a daily basis. Modeling of stock return volatility uses symmetric and asymmetric GARCH, while analysis of stock return volatility transmission utilizes Vector Autoregressive system. This study found that the asymmetric model of GARCH, resulted from fitting the right model for all seven stock markets, provides a better estimation in portraying stock return volatility than symmetric model. Moreover, the model can reveal the presence of asymmetric effects on those seven stock markets. Other finding shows that Hong Kong and Singapore markets play dominant roles in influencing volatility return of Indonesia’s stock market. In addition, the degree of interdependence between Indonesia’s and foreign stock market increased substantially after the 2007 global financial crisis, as indicated by a drastic increase of the impact of stock return volatilities in the US and UK market on the volatility of Indonesia’s stock return.

scholarly journals Foreign Ownership, Return Volatility, Trading Volume, and Risk of Stocks in Indonesia

2018 ◽  
Author(s):  
Ahmad Maulin Naufa ◽  
I Wayan Nuka Lantara
Keyword(s):  
Panel Data ◽  
Trading Volume ◽  
Stock Return ◽  
Stock Exchange ◽  
Foreign Ownership ◽  
Return Volatility ◽  
Stock Return Volatility ◽  
Indonesian Government ◽  
The Relationship

This study examines the relationship between foreign ownership and return volatility, trading volume, and risk of stocks at the Indonesia Stock Exchange (IDX). Panel data of selected companies listed on the LQ45 index of the IDX was employed for the period between 2011 and 2017. Foreign ownership was found to positively affect stock return volatility, trading volume, and risk. Hence, more substantial foreign ownership of stocks meant more drawbacks to Indonesian stocks. Therefore, there is a need for the Indonesian government to limit and regulate foreign shareholders in Indonesia.  

Do Daily Dividends Reduce Stock Return Volatility and Value-at-Risk?

2018 ◽  
Keyword(s):  
At Risk ◽  
Value At Risk ◽  
Stock Return ◽  
Stock Exchange ◽  
Return Volatility ◽  
Expected Loss ◽  
Computation Model ◽  
Stock Return Volatility ◽  
Daily Return ◽  
Holding Period

This study offers a daily dividend computation model and extends the two conventional arithmetic and logarithmic return equations to include daily dividend. The author examines the effect of daily dividend inclusion on the daily return volatility and Value-at-Risk (VaR) of the five stocks listed in the Dhaka Stock Exchange (DSE) Limited. The research shows that in most cases the inclusion of daily dividends significantly reduces the daily volatility of returns. Also, with a few exceptions, the VaR of the remaining stocks’ return declines substantially, decreasing the maximum expected loss of return. Finally, after inclusion of a daily dividend, the author finds that a more extended holding period offers a proportionately lower VaR of the daily return.

THE IMPACT OF STOCK RETURNS VOLATILITY ON CREDIT DEFAULT SWAP RATES: A COPULA STUDY

2005 ◽  
Vol 08 (08) ◽  
pp. 1135-1155 ◽  
Author(s):  
FATHI ABID ◽  
NADER NAIFAR
Keyword(s):  
Stock Returns ◽  
Stock Return ◽  
Credit Default Swap ◽  
Archimedean Copula ◽  
Return Volatility ◽  
Stock Return Volatility ◽  
Credit Default ◽  
Default Swap ◽  
The Impact ◽  
Swap Rates

The aim of this paper is to study the impact of stock returns volatility of reference entities on credit default swap rates using a new dataset from the Japanese market. The majority of empirical research suggests the inadequacy of multinormal distribution and then the failure of methods based on correlation for measuring the structure of dependency. Using a copula approach, we can model the different relationships that can exist in different ranges of behavior. We study the bivariate distributions of credit default swap rates and the measure of stock return volatility estimated with GARCH (1,1) and focus on one parameter Archimedean copula. Starting from the empirical rank correlation statistics (Kendall's tau and Spearman's rho), we estimate the parameter values of each copula function presented in our study. Then, we choose the appropriate Archimedean copula that better fit to our data. We emphasize the finding that pairs with higher rating present a weaker dependence coefficient and then, the impact of stock return volatility on credit default swap rates is higher for the lowest rating class.

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