Efficiency of mutual funds in Croatia: a DEA-based approach applied in the pre-crisis, crisis and post crisis period


  • Margareta Gardijan Faculty of Economics and Business - Zagreb
  • Jakša Krišto Faculty of Economics and Business - Zagreb


The aim of this paper is to estimate the overall performance of mutual funds in Croatia in terms of their relative efficiency based on several performance indicators using data envelopment analysis (DEA). DEA is a non-parametric method that can provide an overall relative efficiency score of a certain fund given a number of risk, cost or reward or profitability measures. Since traditional mutual fund performance indicators are mostly based on the CAPM paradigm that demands using rigid assumptions and questionable benchmarks, we endeavor to overcome the limitations of such an approach by considering more appropriate risk and reward measures, such as Expected Shortfall, stochastic dominance and higher order moments. In this way, we developed an adjusted DEA-based mutual fund performance index. The efficiency scores obtained from the DEA model help in identifying efficient funds and ranking the funds based on certain criteria. DEA also identifies mutual fund(s) that can be benchmarks for other mutual funds that have similar investment strategies. These results were compared to various traditional indicators of absolute and relative risk-adjusted performance of mutual funds. The analysis was divided into three periods: the pre-crisis period, crisis period and post-crisis period with different conclusions for mutual fund performances in Croatia. The analysis includes altogether 60 UCITS funds in Croatia, in the period from the beginning of 2005 until the end of 2015, and was conducted on daily data of share prices, available from the Bloomberg terminal.

Author Biographies

Margareta Gardijan, Faculty of Economics and Business - Zagreb

Department of Mathematics, Research and teaching assistant

Jakša Krišto, Faculty of Economics and Business - Zagreb

Department of Finance, Assistant Professor






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