Organized crime, the quality of local institutions and FDI in Italy: A panel data analysis

2011 ◽  
Vol 27 (1) ◽  
pp. 132-142 ◽  
Author(s):  
Vittorio Daniele ◽  
Ugo Marani
2016 ◽  
Vol 19 (5) ◽  
pp. 2069-2092 ◽  
Author(s):  
Pedro Gerber Machado ◽  
Arnaldo Walter ◽  
Michelle Cristina Picoli ◽  
Cristina Gerber João

2019 ◽  
Vol 2 (2) ◽  
pp. 86
Author(s):  
Melinda Malau

ABSTRACTEarnings persistence and earnings transparency are an important factors in company performance. The quality of financial statement will differentiate performance between one company to another. The research purposed to analyze the effect of earnings persistence and earnings transparency on the company performance. In addition, the research purposed to analyze corporate governance as a moderating variable can strengthens the effect between earnings persistence and earnings transparency on company performance. This research using sample of 363 firms-year in 2014-2016 and applying panel data analysis. The results show that earnings persistence variable has a positive significant effect on the company performance. Earning transparency also has a positive significant effect on company performance. For corporate governance as a moderation variable strengthens the effect between earnings persistence and earning transparency to the company performance. Size and age also have a positive significant effect on company performance. Keywords: earnings persistence; earnings transparency; company performance; corporate governance.


2021 ◽  
Vol 14 (6) ◽  
pp. 24
Author(s):  
Salah Mohamed Eladly

This study is an attempt to analyze the  impact of the financial performance on asset quality of insurance industry in Egypt as  applied on a sample of 19 insurance companies over the period 1999-2019.The financial performance measured by profitability (return on equity-return on investment) and liquidity results show that there is a significant negative linear relationship between the independent variable in terms ofX3, and the dependent variable; y, at a significant level less than (0.01), while there is no significant linear relationship between the independent variable of X1,X2, and dependent variable; y at a significant level greater than (0.05) . The study methodology used panel data analysis according to ARDL model and OLS, beside the robustness check supports these results using the Jarque-Bera test and the Durbin-Watson test statistic


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