Evaluating Greek equity funds using data envelopment analysis

This study assesses the relative performance of Greek equity funds employing a non-parametric method, specifically Data Envelopment Analysis (DEA). Using an original sample of cost and operational attributes we explore the e¤ect of each variable on funds' operational efficiency for an oligopolistic and bank-dominated fund industry. Our results have significant implications for the investors' fund selection process since we are able to identify potential sources of inefficiencies for the funds. The most striking result is that the percentage of assets under management affects performance negatively, a conclusion which may be related to the structure of the domestic stock market. Furthermore, we provide evidence against the notion of funds' mean-variance efficiency

Performance evaluation of ethical mutual funds in slump periods

In this paper we tackle the problem of the presence of negative average rate of returns in the computation of the performance of ethical mutual funds. The presence of these negative values raises problems both in the computation of the classical performance indicators and in DEA modeling. In this paper we propose a suitably adjusted DEA model which allows the presence of non negative outputs. The model is applied to data on the UK market of ethical mutual funds.Performance evaluation, ethical mutual funds, data envelopment analysis

Multi-objective portfolio optimization of mutual funds under downside risk measure using fuzzy theory

Mutual fund is one of the most popular techniques for many people to invest their funds where a professional fund manager invests people's funds based on some special predefined objectives; therefore, performance evaluation of mutual funds is an important problem. This paper proposes a multi-objective portfolio optimization to offer asset allocation. The proposed model clusters mutual funds with two methods based on six characteristics including rate of return, variance, semivariance, turnover rate, Treynor index and Sharpe index. Semivariance is used as a downside risk measure. The proposed model of this paper uses fuzzy variables for return rate and semivariance. A multi-objective fuzzy mean-semivariance portfolio optimization model is implemented and fuzzy programming technique is adopted to solve the resulted problem. The proposed model of this paper has gathered the information of mutual fund traded on Nasdaq from 2007 to 2009 and Pareto optimal solutions are obtained considering different weights for objective functions. The results of asset allocation, rate of return and risk of each cluster are also determined and they are compared with the results of two clustering methods

EFFICIENCY OF MUTUAL FUND SCHEMES DURING COVID-19: EMPIRICAL ANALYSIS IN INDIAN CONTEXT USING DEA APPROACH

The disruptions created by COVID-19 has lasting implications on the countries across the world. Apart from impacting key sectors of the economy, COVID has significantly affected the financial sector causing volatility and changes in asset valuation. There is no doubt that mutual funds still remain the popular mode of investment during COVID-19 followed by equities. However, shrinking fees, reducing profit margins and ever-changing investors preferences along with the pandemic imposed new set of challenges for the fund managers. Using data envelopment analysis, this paper examines the efficiency of open- ended equity funds and select debt schemes during COVID-19. The analysis reveals that during COVID, equity schemes pertaining to large and multi-cap segment were efficient. But the efficiency of mid and small cap equity schemes was affected due to the high expenses’ ratio and volatility. Interestingly, all open-ended debt schemes were efficient during COVID with mean efficiency score more than equity schemes. As no single fund house is found to be efficient in all the segments, the investor can pick efficient schemes to construct optimum portfolio of mutual funds

The Performance of Unit Trust Industry in Malaysia

This study measured the efficiency of fixed income unit trust funds and equity unit trust funds for the period of January 2004 to December 2014. A total of 36 fixed income funds and 109 equity funds were evaluated using stochastic frontier analysis (SFA) technique with three inputs (expense ratio, portfolio turnover ratio, and fund management stated fee) and one output variable (return). The econometric technique was used to measure the portfolio efficiency score as well as to compare the efficiency of fixed income funds and equity funds. The results indicated that the average efficiency score for equity unit trust funds was higher than fixed income unit trust funds. Nevertheless, when the samples were categorized into panel data, the average efficiency score for fixed income funds increased throughout ten years. Meanwhile the average score for equity funds was consistent over the years. It shows that time is invariant for equity funds. However, this means that the performance efficiency for both types of funds was considered excellent and efficient. The results indicate that the mean efficiency achieved in unit trust industry is almost 100% of its potential output

DEA models for ethical and non ethical mutual funds with negative data

This paper tackles the problem of the presence of negative average rates of returns in the evaluation of the performance of mutual funds using a DEA approach. We present some extensions of DEA models for the evaluation of the performance of mutual funds that enable to compute the performance measure also in the presence of negative rates of returns. These extensions regard a model that can be used for investments in mutual funds which have profitability as main objective and two models specifically formulated for ethical mutual funds that include also the ethical objective among the outputs and differ in the way the ethical goal is pursued by investors. The models proposed are applied to the European market of ethical mutual funds. In order to do so, a measure of the ethical level which takes into account the main socially responsible features of each fund is built.

MEASURING THE EFFICIENCY OF INDEX FUNDS: EVIDENCE FROM INDIA

The purpose of this study is to analyse the technical efficiency of Index funds using data envelopment analysis (DEA) and to assess the reasons of inefficiency. Based on secondary data collected from the annual reports of the Association of Mutual Funds in India, this study examined the efficiency performance of the top Index funds available to Indian investors from the year 2018 to 2022 using radial measurers (BCC) of data envelopment analysis. The results show that the average efficiency of Index funds was 83.04 percent during the study period, and the average efficiency of index funds was almost stable during the study period. Only 10 percent of the index funds operated efficiently during the study period. The least amount of slack was found in the input "expense ratio". This reiterates that investment risk is the cause of the funds' inefficiency and not the associated expenses.  This study is first of its kind that has assessed the of Indian index funds and therefore holds important insights for regulators, policy makers and practitioners

Application of multi-criteria decision analysis for investment strategies in the Indian equity market

In the Indian equity market, the Systematic Investment Plan (SIP) is the most popular strategy due to its convenience for disciplined investing regardless of market conditions. This study analyzes the excess returns of an extensive dataset of listed Indian companies from 2010 to 2019, along with a value-based version of the Multi-Criteria Decision Analysis (MCDA), to identify top performing stocks, based on their sectors and market capitalization. The findings of the study provide empirical evidence of Value Averaging (VA) as a viable alternative strategy over SIP (also known as Dollar Cost Averaging or Rupee Cost Averaging) as 352 out of 359 companies yielded higher returns under VA. The superiority of the VA strategy over the SIP was particularly marked in the consumer goods, financial services and industrial manufacturing sectors, with a clear dominance of small cap companies. The results also show that risk factors for VA strategy play an important role and should be taken into account, rather than base investment decisions on excess returns alone. The efficiency scores of individual stocks provide important insights for mutual funds, financial brokers and individual investors in India

Risk Analysis and Efficiency Islamic Banking: Evidence in Indonesia

This study aims to analyze the risk and efficiency of Bank MuamalatTbk, customers ex-employees perceptions of the efficiency of the closure of the Branch Offices in Bojonegoro and Blora Regencies. This research is quantitative research that uses three stages of analysis. The first phase of the analysis involves risk analysis by measuring credit, operational and risk of disbursement based on the 2013-2017 Bank Muamalat Indonesia Tbk Financial Report using CAMELS financial ratios, the second stage consists of measuring the efficiency of Bank MuamalatTbk's performance using non-parametric techniques, Data Envelopment Analysis (DEA). The third stage will apply Pearson Correlation Coefficients to test the correlation between Customer Perception, Credit, Operations, and Risk of Disbursement to Efficiency. Based on results it can be concluded that the condition of Bank Muamalat Indonesia for the period 2013 - 2017 can be declared unhealthyand risky. So, it is suggested that Muamalat obtain new investors who are able to provide capital to nourish their financial performance. Keywords : Efficiency, Operational Risk, Islamic Banking, Data Envelopment Analysis

A trade-level DEA model to evaluate relative performance of investment fund managers

We develop a trade-level measure to evaluate fund managers’ efficiency in their buying and selling activities relative to the trades of other fund managers. We customize an additive Data Envelopment Analysis (DEA) model to focus on risk-adjusted returns during different time periods as trade-level outcomes. The model does not consider any input-output process. Instead, it considers tradeoffs between multiple outcomes. We find that fund managers do not have symmetric ability in buying and selling. Some managers do well in buy transactions but not in sell transactions while others perform well in selling but not in buying. We also explore the determinants of fund managers’ trading performance. Compared to trade characteristics, portfolio characteristics have a greater influence in explaining fund managers’ relative trading efficiency