Corruption, Product Market Competition, and Institutional Quality: Empirical Evidence from the US States

2015 ◽  
Author(s):  
Jamie Bologna
Keyword(s):  
Empirical Evidence ◽  
Market Competition ◽  
Institutional Quality ◽  
Product Market ◽  
Product Market Competition ◽  
Us States ◽  
The Us

The nexus between product market competition and the quality of analysts’ forecasts: empirical evidence from Chinese-listed firms

2020 ◽  
Vol 14 (1) ◽  
pp. 15-30
Author(s):  
Amjad Iqbal ◽  
Khalil Jebran ◽  
Muhammad Umar
Keyword(s):  
Empirical Evidence ◽  
Market Competition ◽  
Positive Association ◽  
Product Market ◽  
State Ownership ◽  
Product Market Competition ◽  
Future Research ◽  
Manufacturing Companies ◽  
Content Type

Purpose This study aims to explore the relationship between product market competition (competition hereafter) and the quality of analysts’ forecasts. Design/methodology/approach This study uses industry-level (i.e. Herfindahl–Hirschman index), as well as firm-level (i.e. Lerner index) measures of competition and uses forecast accuracy and forecasts dispersion as proxies for analysts’ forecast quality. Further, this study considers a sample of Chinese-listed manufacturing companies for the period spanning 2005 to 2016 and uses various estimation techniques to empirically test the hypothesized relationship. Findings The results show that firms in highly competitive industries are characterized by greater accuracy and smaller dispersion in forecasts. Further, this positive association is more pronounced in SOEs as compared to NSOEs, and in industries characterized by intense competition. The sensitivity analysis further endorses the main results. Practical implications Presenting theoretical and empirical evidence, this study suggests that regulatory bodies should take steps to promote the competitive environment in China. This can help financial analysts in developing more accurate and reliable forecasts and ultimately can bring informational efficiency to the market. Finally, investors would be able to perform their business valuation process in a better way and make economic-useful decisions regarding their capital resource allocation. Originality/value The contribution of the current research is threefold: first, it adds to the limited literature available on this specific topic; second, this study examines the issue in China and further single out the influence of state-ownership and intensity of competition on the relation between competition and forecast properties; and third, this study provides theoretical arguments for the positive association between competition and forecasts quality while setting directions for future research on the topic and suggests the potential channels such as the reporting quality channel and the information disclosure channel that need to be explored further, to better understand the mechanism where competition influences the quality of analysts’ forecasts.

The Relationship Between Competition and the Fraction of Firms Using Stock-Based Compensation in an Industry

2014 ◽  
Vol 17 (01) ◽  
pp. 1450006
Author(s):  
Hsing-Hua Huang ◽  
Chia-Fan Lin
Keyword(s):  
Empirical Evidence ◽  
Risk Taking ◽  
Market Competition ◽  
Negative Relationship ◽  
Product Market ◽  
Product Market Competition ◽  
Competitive Industry ◽  
Risk Taking Behavior ◽  
The Relationship

This paper theoretically and empirically investigates the relationship between the intensity of product market competition and the fraction of firms that use stock-based compensation in an industry. By employing the relationship between a firm's risk-taking behavior and the use of stock-based compensation, we theoretically show that when the fraction of firms using stock-based compensation is less (more) than one-half, there is a positive (negative) relationship between the fraction and the intensity of product market competition and further provide some supportive empirical evidence. Our results imply that there is more heterogeneity in firms' stock-based compensation policies in the more competitive industry.

Sign in / Sign up

Export Citation Format

Share Document