Multiplier dynamic data envelopment analysis based on directional distance function: An application to mutual funds

• We develop a multiplier dynamic DEA model based on the directional distance function. • Our model can handle negative values without any data transformation. • Our model calculates the overall efficiency without presetting aggregating weights. • The approach determining period efficiency scores is provided in the context of DDF. • Our model has good practical value for fund portfolio selection. This paper extends the multiplier dynamic data...