Financial Performance Among Top10 Automotive Leaders in the EU: Essential Techniques to Investigate the Structure of Moments While Using the GMM with Dynamic Panel Data

Tomáš Heryán, Petra Růčková, Giovanni Cerulli
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Abstract

The automotive industry is widely considered to be crucial for the economy, as it reflects economic development in general. Despite interest in financial performance, few studies have considered paying attention to the ownership structure among stockholders. Hence, the study aims to find out how the degree of ownership concentration, measured through the independence indicator of the Bureau van Dijk, is reflected in the financial management of companies in the automotive industry among selected European countries. The generalized method of moments (GMM) technique is widely used while investigating panel data with a short estimating period, i.e. nine years annually in this case. However, this study reveals that, without deploying techniques, subsequently introduced a modified version of GMM estimators with panel data by providing an implementation using Stata statistical software. Otherwise, these particular econometric tools to analyze a dynamic panel can often give false significant estimates. Overall, liquidity seems to be significant in the case of firms with less concentrated ownership, whereas companies with a major owner are affected more by selected macroeconomic variables.
欧盟十大汽车行业领先企业的财务业绩:使用动态面板数据的 GMM 时研究矩的结构的基本技术
人们普遍认为汽车行业对经济至关重要,因为它反映了经济发展的总体情况。尽管人们对财务业绩很感兴趣,但很少有研究考虑关注股东之间的所有权结构。因此,本研究旨在找出通过 Bureau van Dijk 独立性指标衡量的所有权集中程度如何反映在选定欧洲国家汽车行业公司的财务管理中。广义矩量法(GMM)技术在研究估计期较短的面板数据时被广泛使用,在本案例中,估计期为 9 年。然而,本研究显示,在没有部署技术的情况下,随后通过提供使用 Stata 统计软件的实现方法,引入了面板数据 GMM 估计器的改进版本。否则,这些用于分析动态面板的特殊计量经济学工具往往会给出错误的重要估计值。总体而言,流动性似乎对所有权不那么集中的公司意义重大,而拥有主要所有者的公司受选定宏观经济变量的影响更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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