scholarly journals Cross-Sectional Heterogeneity in Price-Cost Margins and the Extent of Rent Sharing at the Sector and Firm Level in France

2005 ◽  
Author(s):  
Sabien Dobbelaere ◽  
Jacques Mairesse
Keyword(s):  
Firm Level ◽  
Cross Sectional ◽  
Rent Sharing

Information risk, stock returns, and asset pricing: Evidence from China

2017 ◽  
Vol 30 (4) ◽  
pp. 379-394 ◽  
Author(s):  
Raheel Safdar ◽  
Chen Yan
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Empirical Literature ◽  
Firm Level ◽  
Cross Sectional ◽  
Market Pricing ◽  
Content Type ◽  
Information Risk ◽  
Accruals Quality ◽  
Three Factor

Purpose This study aims to investigate information risk in relation to stock returns of a firm and whether information risk is priced in China. Design/methodology/approach The authors used accruals quality (AQ) as their measure of information risk and performed Fama-Macbeth regressions to investigate association of AQ with future realized stock returns. Moreover, two-stage cross-sectional regression analysis was performed, both at firm level and at portfolio level, to test if the AQ factor is priced in China in addition to existing factors in the Fama French three-factor model. Findings The authors found poor AQ being associated with higher future realized stock returns. Moreover, they found evidence of market pricing of AQ in addition to existing factors in the Fama French three-factor model. Further, subsample analysis revealed that investors value AQ more in non-state owned enterprises than in state owned enterprises. Research limitations/implications The study sample comprises A-shares only and the generalization of the findings is limited by the peculiar institutional and economic setup in China. Originality/value This study contributes to market-based accounting literature by providing further insight into how and if investors value information risk, and it seeks to fill gap in empirical literature by providing evidence from the Chinese capital market.

scholarly journals Heterogeneous Beliefs and Risk-Neutral Skewness

2012 ◽  
Vol 47 (4) ◽  
pp. 851-872 ◽  
Author(s):  
Geoffrey C. Friesen ◽  
Yi Zhang ◽  
Thomas S. Zorn
Keyword(s):  
Factor Analysis ◽  
Latent Variables ◽  
Stock Options ◽  
Systematic Risk ◽  
Heterogeneous Beliefs ◽  
Firm Level ◽  
Cross Sectional ◽  
Skewness Factor ◽  
Risk Neutral ◽  
Using Data

AbstractThis study tests whether belief differences affect the cross-sectional variation of risk-neutral skewness using data on firm-level stock options traded on the Chicago Board Options Exchange from 2003 to 2006. We find that stocks with greater belief differences have more negative skews, even after controlling for systematic risk and other firm-level variables known to affect skewness. Factor analysis identifies latent variables linked to risk and belief differences. The belief factor explains more variation in the risk-neutral skewness than the risk-based factor. Our results suggest that belief differences may be one of the unexplained firm-specific components affecting skewness.

scholarly journals Customs duty incentives and their effects on customs revenue mobilization: the case of Zimbabwe (2009-2014)

2016 ◽  
Vol 5 (1) ◽  
pp. 6-13
Author(s):  
Ezera Madzivanyika
Keyword(s):  
Negative Effects ◽  
Mining Sector ◽  
Firm Level ◽  
Cross Sectional ◽  
Preferential Tariff ◽  
Panel Data Regression ◽  
Level Data ◽  
Data Regression ◽  
Firm Level Data ◽  
Tariff Rates

This paper analyzes the effects of customs duty incentives on customs revenue mobilization for the period 2009 to 2014. It employs both cross-sectional and panel data regression analysis using firm-level data obtained for a sample of 35 firms in Zimbabwe’s mining sector. The data were collected from Zimbabwe Revenue Authority’s Asycuda World System. The results from the two separate models confirm that customs duty incentives (rebates and preferential tariff rates) had negative effects on customs revenues for the period 2009 to 2014. The study, therefore, recommends an urgent need to streamline customs duty incentives granted to importers of goods meant for use in the mining sector

scholarly journals Union Density Effects on Productivity and Wages

2020 ◽  
Vol 130 (631) ◽  
pp. 1898-1936
Author(s):  
Erling Barth ◽  
Alex Bryson ◽  
Harald Dale-Olsen
Keyword(s):  
Union Membership ◽  
Union Density ◽  
Selection Effects ◽  
Firm Level ◽  
Taxable Income ◽  
Wage Effect ◽  
Density Effects ◽  
Tax Subsidies ◽  
Rent Sharing ◽  
Over Time

Abstract We exploit changes in tax subsidies for union members in Norway to identify the effects of changes in firm-level union density on productivity and wages. Increased deductions in taxable income for union members led to higher membership rates and contributed to a lower decline in union membership rates over time in Norway. Accounting for selection effects and the potential endogeneity of unionisation, the results show that increasing union density at the firm level leads to a substantial increase in both productivity and wages. The wage effect is larger in more productive firms, consistent with rent-sharing models.

Drivers of the disclosed “connectivity of the capitals”: evidence from integrated reports

2019 ◽  
Vol 10 (5) ◽  
pp. 877-908 ◽  
Author(s):  
Michael Grassmann ◽  
Stephan Fuhrmann ◽  
Thomas W. Guenther
Keyword(s):  
Content Analysis ◽  
Cost Benefit ◽  
Managerial Discretion ◽  
Integrated Reporting ◽  
Firm Level ◽  
Cross Sectional ◽  
Content Type ◽  
Proprietary Costs ◽  
Ir Studies ◽  
Quantitative Results

Purpose Integrated reporting (IR) aims to provide disclosures of the connectivity of non-financial and financial value creation aspects. These disclosures are defined as the disclosed connectivity of the capitals resulting from integrated thinking. This paper aims to investigate the extent of disclosed connectivity of the capitals in integrated reports and its underlying managerial discretion by drawing on economic-based theories. Design/methodology/approach Regression analyses are applied to examine the associations between economic firm-level characteristics and the extent of disclosed connectivity of the capitals. The analyses are based on a content analysis of 169 integrated reports disclosed in 2013 and 2014 by Forbes Global 2000 companies. Findings This paper finds high heterogeneity in the extent of disclosed connectivity of the capitals in current IR practice. This heterogeneity is related to drivers arising from economic-based theories. Firms’ non-financial and financial performance and the importance of strategic shareholders and debt providers are positively associated with the extent of disclosed connectivity of the capitals. The complexity of the business model and a highly competitive environment are negatively associated with the extent of disclosed connectivity of the capitals. Research limitations/implications This paper extends qualitative IR studies on the disclosed connectivity of the capitals by quantitative results from a content analysis for a cross-sectional and global sample. Additionally, this study adds to prior IR literature on the drivers of the binary decision to disclose an integrated report by focusing on the extent of disclosed connectivity of the capitals. Practical implications For report preparers, users and standard setters, the results reveal that perceived cost-benefit considerations (signaling vs. direct and proprietary costs) may explain managerial discretion regarding the connectivity of the capitals within integrated reports. Social implications This paper examines integrated reports, which are intended to inform providers of financial capital and other stakeholders about the connectivity of the six capitals of the IR framework. Originality/value This paper develops a metric disclosure measure of the extent of disclosed connectivity of the capitals. It provides initial evidence of how the IR framework’s focus on this key characteristic is realized in disclosure practice. Concerns about competitive disadvantages and preparation costs limit this key characteristic of integrated reports.

Determinants of return-on-equity in USA, German and Japanese manufacturing firms

2019 ◽  
Vol 45 (3) ◽  
pp. 445-451 ◽  
Author(s):  
Stephanie M. Weidman ◽  
Daniel J. McFarland ◽  
Gulser Meric ◽  
Ilhan Meric
Keyword(s):  
Manufacturing Industry ◽  
Financial Analysis ◽  
Important Determinant ◽  
Multivariate Regression Analysis ◽  
Manufacturing Firms ◽  
Firm Level ◽  
Cross Sectional ◽  
Content Type ◽  
Return On Equity ◽  
The Usa

Purpose DuPont financial analysis is generally used in micro-economic studies to compare an individual firm’s financial performance with industry averages. The purpose of this paper is to undertake a macro-economic cross-sectional analysis of the determinants of return-on-equity (ROE) in USA, German and Japanese manufacturing firms. Design/methodology/approach The authors use cross-sectional log-linear multivariate regression analysis to determine the elasticity of ROE to changes in net profit margin (NPM), total assets turnover (TAT) and equity multiplier (EQM) in USA, German and Japanese manufacturing firms. The authors obtain the data for the analysis from the COMPUSTAT Research Insight/Global Vintage database. Findings With data for all manufacturing firms, the authors find that the most important determinant of ROE is NPM in all three countries. The least important determinant of ROE is TAT in the USA and Germany, and EQM in Japan. Electronics is the most important manufacturing industry in all three countries, the authors also apply the analysis to data for the electronics manufacturing firms in the three countries. The authors find that an increase of 10 percent in NPM increases ROE by about 9.8 percent in Germany, by about 8.3 percent in the USA, and by about 6.9 percent in Japan. An increase of 10 percent in TAT increases ROE by about 2.2 percent in Germany and by about 1.5 percent in Japan. An increase of 10 percent in EQM increases ROE by about 1.9 percent in Germany and by about 1.5 percent in the USA. Practical implications The empirical findings of this study can provide useful insights for financial managers regarding the determinants of ROE they should focus on to achieve the greatest impact on ROE. Originality/value DuPont analysis is generally used as a micro-economic tool at the firm level. This study is a macro-economic application of the tool to study the cross-sectional determinants of ROE at the industry level.

The Effect of Deregulation on Employee Earnings: Pilots, Flight Attendants, and Mechanics, 1959–1992

ILR Review ◽  
1996 ◽  
Vol 49 (2) ◽  
pp. 223-242 ◽  
Author(s):  
Pierre-Yves Crémieux
Keyword(s):  
Flight Attendants ◽  
Firm Level ◽  
Cross Sectional ◽  
Long Run ◽  
Airline Deregulation ◽  
Level Data ◽  
Negative Effect ◽  
Long Term Trends ◽  
Sectional Analysis

Previous studies of the effect of the 1978 Airline Deregulation Act on employee earnings have reported mixed results: some have found no negative long-run effect of deregulation and others have found a negative effect of up to 10%. Most of these studies relied on cross-sectional analysis of a few years' data. This paper, in contrast, examines the long-term trends in airline earnings, based on 34 years of newly collected firm-level data from the Department of Transportation's Form 41 and airline workers' unions. The author finds that although deregulation had no statistically significant effect on the earnings of mechanics, it strongly affected the earnings of flight attendants and pilots. Flight attendants' earnings were at least 12% lower by 1985 and 39% lower by 1992 than they would have been if deregulation had not occurred, and the corresponding shortfalls for pilots were 12% and 22%.

The Determinants of Corporate CDS Spreads: Do Equity Liquidity and Jump Matter?

2014 ◽  
Vol 22 (3) ◽  
pp. 565-595
Author(s):  
Yuen Jung Park ◽  
Jungmu Kim
Keyword(s):  
Time Series ◽  
Stock Return ◽  
Global Financial Crisis ◽  
Explanatory Power ◽  
Firm Level ◽  
Cross Sectional ◽  
Stock Return Volatility ◽  
The Cross ◽  
Market Variables ◽  
The Global Financial Crisis

This paper investigates whether equity liquidity and stock return jump are important determinants for the Korean corporate CDS spreads. The previous studies mainly have examined the determinants of CDS spread time series levels, whereas this study focuses on the determinants of changes or differences of CDS spread time series as well as the effecting factors of cross-sectional variations. Using monthly averaged CDS quotes for 29 firms from Jan. 2005 to Nov. 2012, we first demonstrate that the explanatory power for CDS spread changes is improved to about 39% by adding both credit risk-related market variables and firm-level jump variables, contrary to the low explanatory power (approximately 21%) reported by the previous study. However, since the principle component analysis for residuals from the regression shows that a common risk factor exists, it is possible that additional important factor remains. In addition, we demonstrate that stock return volatility is a robust variable to explain the cross-sectional differences in CDS spreads. We also find that the equity liquidity is a robust and significant factor for the cross-sectional differences in CDS spreads after the global financial crisis period. The result implies that, after the recent crisis, investors more actively considered equity illiquidity costs when they hedged their CDS exposures by stocks.

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