Stock selection using data envelopment analysis

Purpose – The purpose of this study is to adopt data envelopment analysis (DEA) to construct portfolios, and compare their return rates with the market index to examine whether DEA portfolios created superior returns. In addition, this study investigated whether using the “size effect” as a stock selection strategy is appropriate in Taiwan.Design/methodology/approach – This study applied two DEA models to evaluate the efficiency of the firms and construct portfolios by selecting stocks with high efficiency. Furthermore, the return rates of the portfolios constructed by small‐size firms, DEA models and market indices were compared via empirical data analysis.Findings – The results showed that size effect seems inappropriate as a stock selection strategy in the Taiwan stock market. However, the portfolios constructed by DEA models achieved noticeable superior returns.Research limitations/implications – Future studies can apply DEA models to other stock markets in different countries to confirm the effective...

[1]  Hui Guo,et al.  Stock Prices, Firm Size, and Changes in the Federal Funds Rate Target , 2002 .

[2]  R. Foreman,et al.  A logistic analysis of bankruptcy within the US local telecommunications industry , 2003 .

[3]  R. W. Melicher,et al.  Predicting corporate bankruptcy and financial distress: Information value added by multinomial logit models , 1994 .

[4]  Shiuh-Nan Hwang,et al.  Using data envelopment analysis to measure hotel managerial efficiency change in Taiwan , 2003 .

[5]  Mohamed Mostafa,et al.  Benchmarking top Arab banks' efficiency through efficient frontier analysis , 2007, Ind. Manag. Data Syst..

[6]  M. Mark Walker Professional stock analysts' recommendations: Implications for individual investors , 1996 .

[7]  Robert R. Johnson,et al.  New Evidence on Size and Price-to-Book Effects in Stock Returns , 1997 .

[8]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[9]  Reggie Kwan,et al.  An empirical examination of the use of NN5 for Hong Kong stock price forecasting , 2007 .

[10]  B. Casu,et al.  A comparative study of efficiency in European banking , 2003 .

[11]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[12]  Ronald J. Lanstein,et al.  Persuasive evidence of market inefficiency , 1985 .

[13]  T. Mills,et al.  The size effect and the random walk hypothesis: evidence from the London Stock Exchange using Markov Chains , 2003 .

[14]  Robert A. Weigand,et al.  Stock Selection Based on Mutual Fund Holdings: Evidence from Large-Cap Funds , 2004 .

[15]  Wilfred L. Dellva,et al.  The relationship between mutual fund fees and expenses and their effects on performance , 1998 .

[16]  E. Fama EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* , 1970 .

[17]  Makoto Suzuki PSR--an efficient stock-selection tool? , 1998 .

[18]  S. Kothari,et al.  Book-to-Market, Dividend Yield, and Expected Market Returns: A Time-Series Analysis , 1997 .

[19]  George N. Leledakis,et al.  Cross-sectional estimation of stock returns in small markets: The case of the Athens Stock Exchange , 2003 .

[20]  The importance of information technologies in the ability of fund managers to time the market , 2008 .

[21]  Stanley G. Eakins,et al.  Can value-based stock selection criteria yield superior risk-adjusted returns: an application of neural networks , 2003 .

[22]  Soushan Wu,et al.  Comparison of support-vector machines and back propagation neural networks in forecasting the six major Asian stock markets , 2006 .

[23]  R. Banz,et al.  The relationship between return and market value of common stocks , 1981 .

[24]  Ping-Chen Lin,et al.  A genetic-based hybrid approach to corporate failure prediction , 2008 .

[25]  M. C. Jensen The Performance of Mutual Funds in the Period 1945-1964 , 1967 .

[26]  Thomas M. Zepp Utility stocks and the size effect—revisited , 2003 .

[27]  Da Ruan,et al.  Data envelopment analysis based decision model for optimal operator allocation in CMS , 2005, Eur. J. Oper. Res..

[28]  Peter Jones,et al.  Productivity in hotels: a stepwise data envelopment analysis of hotels' rooms division processes , 2005 .

[29]  Chi-Sheng Hsu,et al.  Mutual Fund Performance and Persistence in Taiwan: A Non-Parametric Approach , 2007 .

[30]  Pu Liu,et al.  The Weekend Effect, ‘Reverse’ Weekend Effect, and Firm Size , 2000 .

[31]  P. Molyneux,et al.  Efficiency in the factoring industry , 2004 .

[32]  Matthias Staat,et al.  Efficiency of hospitals in Germany: a DEA-bootstrap approach , 2006 .

[33]  Earnings – returns relation in Greece: some evidence on the size effect and on the life-cycle hypothesis , 2005 .

[34]  C. Gaunt,et al.  Size and book to market effects and the Fama French three factor asset pricing model: evidence from the Australian stockmarket , 2004 .