Does domestic institutional ownership increase return volatility? The French context

2019 ◽  
Vol 61 (2) ◽  
pp. 421-433
Author(s):  
Mouna Aloui ◽  
Anis Jarboui

Purpose The purpose of this study is to examine the impact of domestic ownership on the stock return volatility. The authors use a detailed panel data set of 89 French companies listed on the SBF 120 over the period 2006-2013. The empirical results show that the domestic institutional investors have low stock price volatility in the French stock market. This result implies the stabilizing factor of domestic investors in France stock markets, which can be considered as one of the potential favor of growing the exhibition of domestic stock markets to institutional investors. This study employs a variety of econometric models, including feedbacks, to test the robustness of our empirical results. Design/methodology/approach To explain the relation between stock return volatility and domestic institutional investors (DIIs), the authors used two complementary methods: two-step generalized method of moments analysis as well as panel vector autoregressive framework and two-stage least squares (2SLS) method. Findings The authors’ empirical results show that the proportion of DIIs with advanced local degrees stabilizes the stock price volatility. However, firm’s size and the turnover have a positive effect on the volatility of the stock returns. This result is consistent with the hypothesis that the firm’s size and the turnover will increase price volatility during a financial crisis as a result of the deterioration of the monitoring mechanism and the reduction of the investors’ confidence in firms. Originality/value This result also indicates that the variables (the firm’s size, total sales and debt ratio) are poor corporate governance and have a role in the increased the stock return volatility.

2020 ◽  
Vol 32 (4) ◽  
pp. 585-600
Author(s):  
Konpanas Dumrongwong

Purpose The purpose of this paper is to investigate how institutional ownership is related to the stock return volatility of initial public offerings (IPOs) in an emerging market and to examine the relationship between institutional ownership and underpricing. Design/methodology/approach This paper investigates these relationships using White’s (1980) regression and 2 × 3 portfolios sorted by firm size and institutional holdings. The regression method examines the relationships across firms with different characteristics such as size, stock price, growth potential, firm age and type of investors. The data were chosen for this sample to cover the new equity issuances listed on the Thailand Stock Exchange for the period 2001–2019. Findings The empirical results suggest that institutional ownership is negatively associated with initial stock return volatility. This highlights the importance of institutional investors in maintaining stability in emerging stock markets. Additionally, it was found that institutional holding and underpricing are negatively correlated. The results are robust after controlling for potential heteroskedasticity and differences in firm characteristics. Originality/value To the best knowledge of the author, this paper is the first to study the relationship between institutional investors and volatility in Thai IPOs, and hence provides a deeper understanding of how investors influence the price formation and volatility of stock prices in emerging markets. Furthermore, besides academics, the results presented in this paper could be useful for market regulators and policymakers in designing future market regulations to efficiently stabilize equity markets.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pankaj Chaudhary

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.


2007 ◽  
Vol 10 (04) ◽  
pp. 469-478 ◽  
Author(s):  
Anthony Yanxiang Gu ◽  
Chauchen Yang

Returns of the same companies' common stocks, both non-market-adjusted and market-adjusted, exhibit greater volatility, on the Stock Exchange of Hong Kong where short selling is allowed than on the Shanghai Stock Exchange and Shenzhen Stock Exchange where short selling is restrained. This unique evidence indicates that short selling increases stock price volatility for the Chinese stocks in the Chinese stock markets.


2018 ◽  
Vol 10 (3) ◽  
pp. 252-273 ◽  
Author(s):  
Tom Aabo ◽  
Nicklas Bang Eriksen

Purpose The purpose of this paper is to investigate the association between CEO narcissism and corporate risk taking. Design/methodology/approach The authors provide a novel and unobtrusive measure of CEO narcissism based on LinkedIn profiling. The authors investigate the relationship between CEO narcissism and corporate risk taking (stock return volatility) for a sample of 475 US manufacturing firms in the period 2010-2014. Findings The authors find an inverse U-shape relationship between CEO narcissism and stock return volatility. The inverse U-shape relationship (the “humpback”) is caused by the paradoxical nature of the narcissistic personality in which the self-esteem is high but at the same time fragile with a combination of self-admiration and a constant need of having this positive self-view confirmed. The results are robust to alternative specifications of CEO narcissism and corporate risk taking. The results are economically meaningful. Thus, a moderate degree of CEO narcissism – as compared to a very low or a very high level of CEO narcissism – is associated with an increase in corporate risk taking of approximately 12 percent. Originality/value Previous literature provides multiple analyses on the association between managerial overconfidence and corporate decisions. As opposed to overconfidence, narcissism is a personality trait having both cognitive and behavioral dimensions. This paper provides a novel contribution to the growing literature on the association between managerial biases/traits and corporate decision-making.


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.


2016 ◽  
Vol 33 (3) ◽  
pp. 338-358 ◽  
Author(s):  
Gang Li

Purpose This paper aims to study whether noisy public information that investors receive about the expected aggregate dividend growth rate can help better understand the large average equity premium and stock return volatility in the US financial market. Design/methodology/approach This paper considers a dynamic asset pricing model with a representative agent, who cannot observe the expected growth rate of dividends and must learn its value by using noisy information. In addition, this paper presents a simple model for noisy information calibration. Findings With a coefficient of relative risk aversion below 10 and the time impatience parameter between 0 and 1, the calibrated model is able to yield an average risk-free interest rate, equity premium and stock return volatility that are close to the stylized facts in the US financial market. Originality/value First, this paper presents a different equilibrium model with a simple “catching up with the Joneses” preference and noisy information. Second, this paper develops a simple calibration procedure to calibrate the information process to study whether the calibrated model can help explain the large average equity premium and stock return volatility in the US financial market data.


2017 ◽  
Vol 20 (2) ◽  
pp. 229-256
Author(s):  
Linda Karlina Sari ◽  
Noer Azam Achsani ◽  
Bagus Sartono

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.


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