Misclassification Directory UMM :Data Elmu:jurnal:J-a:Journal of Economics and Business:Vol52.Issue5.Sept2000:

attribute dimension. However, in terms of PE, PB, Inc and s, the separation between the two groups increased. The Mahalanobis distances are shown in Panel B of Table 3. Comparing this table with Panel B of Table 2, we see that the attributes-based objective groups are much more distinct than the stated fund objective groups. The Mahalanobis distances for the nearest neighbor objective groups are always higher for the attributes-based objectives than for stated objectives groups. Examining aggressive growth and small capitalization funds, we see that the Mahalanobis distance between these neighboring groups increases from 10.38 to 28.31.

VI. Misclassification

The null hypothesis tested in this paper is: Funds within a stated objective group are homogeneous in terms of their attributes fund characteristics, investment styles, and risk-return measure, and are distinct from the funds in other objective groups. Table 4 provides evidence to test this hypothesis. This table shows how funds of various stated objectives are classified into the attributes-based objectives. If the fund objectives are unique with respect to their attributes and most funds follow their stated objectives, we should see very high values along the diagonal in the classification table. Large values off the diagonal would suggest that the funds do not follow their stated objectives. On an average, the attributes-based objectives of 46 484 out of 1,043 funds are the same as their stated objectives. The worst consistency is for funds with the stated objective of asset allocation where only 22 13 out of 57 are classified as asset allocation based Table 3. Attributes of Attributes-based Objective Groups Panel A: Attributes of attributes-based objective groups Objective Stk DC MktCap PE PB Inc r s R 2 b ASAL 32.86 31.18 4592.57 23.16 3.21 2.77 9.92 7.04 41.48 0.49 BLNC 54.86 29.91 9140.26 20.78 3.55 3.13 10.83 6.92 79.43 0.68 EQIN 86.46 32.16 6877.77 20.35 3.22 2.09 13.59 8.97 74.02 0.85 GRIN 91.81 29.02 14651.12 20.69 3.85 1.90 12.64 8.93 88.33 0.93 GRTH 91.38 26.54 5151.06 24.12 4.40 0.36 12.37 11.59 64.72 1.02 SMCP 88.04 27.20 1359.46 20.94 2.88 0.62 15.27 10.53 42.79 0.75 AGGR 90.92 22.39 1411.67 30.99 5.49 20.36 15.87 16.61 38.80 1.11 Overall 82.85 28.27 6846.85 22.45 3.82 1.38 12.97 10.17 67.47 0.88 Panel B: Mahalanobis distances between attributes-based objective groups ASAL BLNC EQIN GRIN GRTH SMCP AGGR ASAL 0.00 32.71 54.71 77.76 59.27 50.41 82.71 BLNC 32.71 0.00 17.73 21.85 33.14 45.42 73.98 EQIN 54.71 17.73 0.00 9.51 10.85 21.48 49.38 GRIN 77.76 21.85 9.51 0.00 20.10 37.99 63.79 GRTH 59.27 33.14 10.85 20.10 0.00 13.11 22.58 SMCP 50.41 45.42 21.48 37.99 13.11 0.00 28.31 AGGR 82.71 73.98 49.38 63.79 22.58 28.31 0.00 Note: All Mahalanobis distances are significant at 1 level. Mutual Fund Objective Misclassification 317 on their attributes, and the best consistency is for balanced funds where 83 of the funds are classified as balanced. For every fund except the asset allocation funds the classification table has the highest percentages along the diagonal. Nevertheless, a significant number of funds are off the diagonal. The x 2 statistic for the null hypothesis that the classification table is diagonal is 2799, which is significant at the 1 level. Therefore, we reject the null hypothesis that the funds within a stated objective group are homogeneous, and distinct from the funds in other stated objective groups. In other words, some funds in the stated objective groups have attributes distinct from the majority of the funds in their objective groups. Table 4 also shows that the attributes-based objectives of a significant number of funds are far away from their stated objectives. For example, seven out of 57 12 asset allocation funds are classified into growth-income, growth or small capitalization funds, and four out of 48 8 of the aggressive growth funds are classified into asset allocation, balanced and equity income groups based on their attributes. To get an idea of the extent of this severe misclassification, consider the three broad fund groups: income-oriented fund group asset allocation, balance, and equity income funds, growth-oriented fund group growth and growth-income funds, and aggressive capital appreciation-oriented fund group aggressive growth and small capitalization funds. A misclassification outside of these broad fund groups may be considered severe. Panel B of Table 4 shows that 353 out of 1,043 34 funds are severely misclassified. This degree of severe misclassifica- tion casts serious doubt on the current fund objective classification system. The x 2 statistic for the diagonality of classification table in Panel B of Table 4 is 1,718, which is also Table 4. Funds From Various Stated Objectives Classified into their Own Attributes-Based Objectives Panel A: Results for individual objectives Stated Objective Attributes-based objective ASAL BLNC EQIN GRIN GRTH SMCP AGGR Total ASAL 13 22 34 60 4 7 3 5 2 3 2 3 0 0 57 5 BLNC 10 9 91 83 4 3 2 1 2 2 2 1 0 0 110 11 EQIN 3 5 15 24 25 40 18 28 1 1 2 3 0 0 64 6 GRIN 3 1 13 5 75 32 115 49 19 8 9 4 0 0 233 22 GRTH 6 2 4 1 94 24 61 15 148 38 44 11 37 9 394 38 SMCP 0 0 0 0 4 3 0 0 14 10 68 49 53 38 138 13 AGGR 2 5 1 1 1 2 0 0 14 30 5 11 25 52 48 5 Total 37 4 157 15 207 20 198 19 199 19 131 13 115 11 1043 Panel B: Results for aggregated objectives Stated Objective Attributes-based objective Income Growth Aggressive Total Income 198 86 27 12 5 2 230 22 Growth 195 31 342 55 90 14 627 60 Aggressive 8 4 28 15 150 81 186 18 Total 401 38 397 38 246 24 1043 Notes: The numbers in the parentheses show the number of funds, expressed as a percent of the number of funds in the stated objective group, classified into an attributes-based objective group. For example, 22 of funds that stated asset allocation as their objective are classified as being asset allocation, while 60 are classified as balanced. 318 M. Kim et al. significant at 1 level, again leading to rejection of the null hypothesis that mutual funds in even these three aggregated objective classes are homogeneous in their attributes. This degree of disagreement between the stated and attributes based objectives is a genuine cause for concern.

VII. Objective Stability and Consistency

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