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...

The pandemic has created an environment of considerable uncertainty, forcing companies to efficiently manage their resources to optimize their profits, prevent falling revenues, sustain the chain of payments and preserve employment. The objective of this research is to apply the Data Envelopment Analysis (DEA) method to know the financial impact of the COVID-19 crisis on Peruvian companies in the industrial sector, which are listed on the Bolsa de Valores de Lima. Multi-criteria model and correlation analysis were used for the validation of financial ratios, DEA method was used to evaluate efficiencies and Malmquist Productivity Index (MPI) to analyze changes in performance by quarter. Results indicate that 77% of companies are inefficient, equity items and administrative expenses are the most crucial for these companies to improve their performance; in addition, there is a deterioration...