Comparative Analysis of Efficiency in the Economic Sectors of Lima Stock Exchange

Lucero Emperatriz Sovero Rivera
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Abstract

Lima Stock Exchange is considered one of the smallest capital markets in Latin America, despite its favorable growth in the last five years. The performance of listed companies in the stock market may be compromised with national macroeconomic gaps and impact on the development of the economic sector, which is why this study aimed to estimate the financial efficiency of companies listed on the Lima Stock Exchange to know their performance by economic sector during the period 2015-2020. The non-parametric technique of Data Envelopment Analysis was used in a set of 76 companies belonging to the Agrarian, Industrial, Public Services, and Mining sectors; finally, the change in performance was estimated through the Malmquist Productivity Index. The results indicated that 2016 was the most efficient year for companies and 2018 the least efficient year. The most efficient sector was Mining with an efficiency of 0.56, Agrarian sector was the least efficient and with the highest volatility. Likewise, productivity results concluded that technological change does not contribute to productivity, while efficiency change contributed positively to all sectors. In addition, a trend of annual growth and stability of the Mining sector was evidenced, which, in the face of the economic crisis, only had a slight drop of -1.7% in its productivity, unlike the other sectors that were notably affected. Results of this study reflected that the macroeconomic indicators of the country often don't affect the performance of the economic sector, to know the performance of the companies it is necessary to analyze the characteristic factors of each sector. It is recommended to use the results of this study as a complementary instrument for making investment decisions in Lima Stock Exchange-listed companies.
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利马证券交易所经济部门效率比较分析
利马证券交易所被认为是拉丁美洲最小的资本市场之一,尽管它在过去五年中取得了良好的增长。股票市场上市公司的业绩可能会受到国家宏观经济缺口和对经济部门发展的影响,因此本研究旨在估计利马证券交易所上市公司的财务效率,以了解其2015-2020年期间各经济部门的业绩。数据包络分析的非参数技术应用于农业、工业、公共服务和矿业部门的76家公司;最后,通过马尔姆奎斯特生产率指数来估计绩效的变化。结果显示,2016年是企业效率最高的一年,2018年是企业效率最低的一年。效率最高的部门是采矿业,效率为0.56,农业部门效率最低,波动性最高。同样,生产率结果得出的结论是,技术变革对生产率没有贡献,而效率变革对所有部门都有积极贡献。此外,矿业部门的年度增长和稳定趋势得到了证明,面对经济危机,其生产率仅略有下降-1.7%,而其他部门受到明显影响。本研究的结果反映了国家的宏观经济指标往往不会影响经济部门的绩效,要了解企业的绩效,就需要分析各个部门的特征因素。建议将本研究结果作为利马证券交易所上市公司投资决策的补充工具。
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