The objectives of this paper are manyfold. First we present a comprehensive review of the
literature of DEA models for the performance assessment of mutual funds. Then we discuss …

The objective of this chapter is twofold. First, we present a comprehensive review of the DEA
literature that has evaluated mutual fund performance. Second, we present a two-stage DEA …

This contribution studies the role of the size of mutual funds in the evaluation of the fund
performance with a data envelopment analysis (DEA) approach, with the aim of studying the …

The paper examines the performance of US no-load equity mutual funds. Fund performance
is derived using stochastic frontier analysis for a flexible functional form. This analysis allows …

Socially responsible investors pursue financial as well as nonfinancial goals. Whereas the
role of financial criteria in investment decisions is well understood, much less is known on …

There is a burgeoning literature using non-parametric frontier methods to measure mutual
fund performance. These articles measure the relationship between the various …

As an effective approach in ranking decision making units (DMUs), cross-efficiency
evaluation is only extended to two basic network systems: series and parallel, which is not …

It has been a common practice to evaluate the performance of mutual funds with data
envelopment analysis (DEA). However, DEA itself is a “black box”, since there are no pre …

Approximately 40% of pension funds for military officials, civil servants, and educators in
Taiwan are entrusted to international and domestic management funds. However, the …

This paper appraises the performance of a sample of green exchange-traded funds (ETFs)
using two types of data envelopment analysis (DEA) metrics. The first type is based on …