Table 2

Classification of passive funds based on FDR method

Modelλ*γ*UnskilledZero alphaSkilled
Model 10.750.301.27%33.80%51.27%
0.800.300.53%38.73%50.53%
0.850.301.41%32.86%51.41%
0.750.352.54%33.80%51.13%
0.800.351.67%38.73%50.26%
0.850.352.70%32.86%51.29%
Model 30.750.303.24%25.35%31.41%
0.800.303.35%24.65%31.51%
0.850.302.82%28.17%30.99%
0.750.352.61%25.35%40.63%
0.800.352.73%24.65%40.76%
0.850.352.11%28.17%40.14%
Model 40.750.303.38%19.72%54.79%
0.800.302.64%24.65%54.05%
0.850.301.41%32.86%52.82%
0.750.352.89%19.72%58.52%
0.800.352.02%24.65%57.66%
0.850.350.59%32.86%56.22%

Note(s): This table shows the proportion of unskilled, zero alpha, and skilled passive funds estimated according to the FDR method of Barras et al. (2010). The authors consider six combinations of the two parameters: λ* = 0.75, 0.80, and 0.85 and γ* = 0.30 and 0.35 Model 1, Model 3, and Model 4 correspond to the fund performance evaluation benchmark models in Equation (2), Equation (4), and Equation (5), respectively

Source(s): Table by authors

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