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Data Envelopment Analysis for Stocks Selection on Bursa Malaysia

机译:大马交易所股票选择的数据包络分析

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In this study, DEA (Data envelopment analysis) is used to measure efficiency of listed companies in Bursa Malaysia in term of the financial performance. It is believed that only good financial performer will give a good return to the investors in the long run. The study combines all the critical criteria for evaluating the performance of the companies in term of financial performance. There are 2 portions: First, absolute amount that represent the financial status of the companies were used to be the variables in the study. It includes total assets, current assets, current liabilities, total expenses, net income after taxes and revenue. The second portion where the financial ratios were treated as the inputs and outputs. The financial ratios include current ratio, debt ratio, debt-to-equity ratio, return on investment, return on equity and earning per share. From the result, the companies that were recommended to the investors were Genting Berhad, Maxis and YLI. These were the companies that showed 100% efficiency. Whereas, ACP Industries Berhad, Autoindustries Corporation (AIC) Berhad, AKN Technology Berhad, ASTRO All Asia Networks plc, Berjaya Group Berhad, Globetronic Technology Berhad, HeiTech Padu Berhad, Malaysia Mining Corporation Berhad, MSNIAGA Berhad, Patimas Computers Berhad, PLB Engineering Berhad, Tenaga Nasional Berhad (TNB) Berhad, Unisem (M) Bhd and WCT Engineering Berhad were showed inefficient. For each and every inefficient company, there is a set of optimum company to be their reference company. To improve the efficiency, those companies need to either increase their output (maximize-output model) or reduce their inputs (minimize-input model).
机译:在这项研究中,DEA(数据包络分析)被用来衡量马来西亚证券交易所上市公司的财务绩效。从长远来看,只有良好的财务表现者才能为投资者带来丰厚的回报。该研究结合了用于评估公司财务状况的所有关键标准。有两个部分:首先,代表公司财务状况的绝对金额被用作研究的变量。它包括总资产,流动资产,流动负债,总支出,税后净收益和收入。第二部分将财务比率作为投入和产出。财务比率包括流动比率,债务比率,债务权益比率,投资回报率,净资产收益率和每股收益。从结果来看,向投资者推荐的公司是Genting Berhad,Maxis和YLI。这些是显示出100%效率的公司。鉴于ACP Industries Berhad,汽车工业公司(AIC)Berhad,AKN Technology Berhad,ASTRO All Asia Networks plc,Berjaya Group Berhad,Globetronic Technology Berhad,HeiTech Padu Berhad,马来西亚矿业公司Berhad,MSNIAGA Berhad,Patimas Computers Berhad,PLB Engineering Berhad ,Tenaga Nasional Berhad(TNB)Berhad,Unisem(M)Bhd和WCT Engineering Berhad效率低下。对于每个效率低下的公司,都有一组最佳公司作为其参考公司。为了提高效率,这些公司需要增加产量(最大化产出模型)或减少投入(最小投入模型)。

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