Data Analysis: Ownership Structure and Firm Performance Relationship
VerifiedAdded on  2023/06/08
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AI Summary
This report investigates the correlation between ownership structure and firm performance, a key topic in corporate finance. The analysis begins with descriptive statistics, including the mean, median, standard deviation, and other metrics for both the dependent variable (TOBIN_S_Q) and independent variables (CR10, CR5, INSTITUTIONAL, etc.). Inferential analysis includes unit root tests and correlation analysis to assess the stationarity of the data and the relationships between variables. Regression analysis is conducted using least squares, fixed effect, and random effect models. The results of these models, including coefficients, standard errors, t-statistics, and probabilities, are presented to understand the impact of ownership structure on firm performance. A Hausman test is also performed to determine the appropriate model (fixed or random effects). The findings provide insights into how different ownership structures influence firm performance, contributing to the ongoing debate in corporate finance.
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