DOES SIZE MATTER? FINDING THE PROFITABILITY AND MARKETABILITY BENCHMARK OF FINANCIAL HOLDING COMPANIES

DOI10.1142/S0217595906000930zbMath1113.90080OpenAlexW2161153134MaRDI QIDQ5483434

Shih-Fang Lo, Wen-Min Lu

Publication date: 14 August 2006

Published in: Asia-Pacific Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0217595906000930

zbMATH Keywords

performanceDEAFHCsreference-share measure

Mathematics Subject Classification ID

Marketing, advertising (90B60)

Related Items (6)

Assessing the performance of a vertically disintegrated chain by the DEA approach–a case study of Taiwanese semiconductor firms ⋮ Network data envelopment analysis: a review ⋮ Exploring the benchmarks of the Taiwanese investment trust corporations: management and investment efficiency perspectives ⋮ Using a hybrid two‐stage DEA model to analyze the profitability and marketability of medical manufacturing firms ⋮ Does ownership structure affect firm performance? Evidence of Indian bank efficiency before and after the Global Financial Crisis ⋮ A Two-Staged Benchmarked Decision Support System Using DEA Profiles of Efficiency

Uses Software

• DEA

Cites Work

• Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis
• Measuring the efficiency of decision making units
• A multiple criteria approach to data envelopment analysis
• A discussion of testing DMUs' returns to scale
• Efficiency of financial institutions: International survey and directions for future research
• A bibliography for data envelopment analysis (1978--1996)
• Multi-factor performance measure model with an application to Fortune 500 companies.
• A slacks-based measure of super-efficiency in data envelopment analysis
• A Procedure for Ranking Efficient Units in Data Envelopment Analysis
• Using Rank Statistics for Determining Programmatic Efficiency Differences in Data Envelopment Analysis
• PARALLEL NETWORK COMPUTING APPROACH FOR DEA-RAM MEASUREMENT
• A USE OF NONPARAMETRIC TESTS FOR DEA-DISCRIMINANT ANALYSIS: A METHODOLOGICAL COMPARISON

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