基于SFA的PSI-20投资组合效率分析

Nuno Ferreira, Francisca Mendonça Souza, A. Souza
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引用次数: 1

摘要

本研究的目的是评估葡萄牙股票市场的个别公司及其各自集团的技术效率。为了实现这一目标,我们将输入变量“市场价值和回报”与外生变量如“利息收入”、“折旧”、“货物成本”、“员工”和“净销售额”结合在随机前沿分析模型中。对PSI-20企业指数的技术效率进行了估计,发现了保证效率变异性的因素,应用SFA方法进行了主要改进,这在于其在估计过程中对测量误差和系统效率低下进行分类的潜力。结果表明,工业、建筑业和流通经济行业企业的技术效率得分较高,而商业银行行业的技术效率得分最低。“员工”和“折旧”变量是最能提高股票市场效率的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PSI-20 portfolio efficiency analysis with SFA
The determination of the study was to assessthe technical efficiency of the individual companies andtheir respective groups of the Portuguese stock market.In order to achieve that were combined the inputvariables “market value and return” with exogenousvariables such as “interest income," “depreciation,"“cost of goods," “employees” and “net sales” in aStochastic Frontier Analysis model. The technicalefficiency of the PSI-20 enterprises index was estimateddiscovering the factors which assurance to efficiencyvariability, applying the SFA approach mainimprovement which lies in its potential to categorizebetween measurement error and systematicinefficiencies in the estimation process. The resultsrevealed that the technical efficiency is higher for theenterprises in industry, construction and distributioneconomic sectors whereas the commercial bankingsector has the lowest technical efficiency scores. The“employees” and “depreciation” variables are theelements that most enhance to the stock marketinefficiency.
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