Heuristic portfolio optimization: Bayesian updating with the Johnson family of distributions 277
Table 11.4Performance of the method of quantiles in the case of density misspecificationTrue: NIGTrue: Pearson Type IVN100N250N500N100N250N500Mean0.64(21.83)0.15(13.74)0.07(9.85)0.66(21.59)0.69(13.82)0.34(9.74)Std1.86(13.49)0.69(7.33)0.46(5.01)0.62(11.29)0.17(6.67)0.39(4.60)Skewness9.03(143.60)1.71(81.11)3.91(54.70)23.86(121.88)17.04(70.19)15.71(48.94)Kurtosis45.32(159.83)18.38(51.10)11.64(30.42)16.88(94.76)2.57(33.82)8.34(21.25)EU0.22(4.59)0.04(1.53)0.02(1.08)0.06(3.08)0.07(1.50)0.06(1.05)L
10.14930.09430.06690.14770.09310.0650L
20.03860.01490.00740.03720.01430.0068KL0.03530.01490.00760.03350.01430.0071True: Skew-TTrue: Johnson UnboundedN100N250N500N100N250N500Mean1.28(21.87)1.24(13.93)0.53(10.12)1.10(21.62)0.32(13.72)0.21(9.76)Std1.13(11.35)0.05(6.85)0.16(4.79)0.95(11.37)0.14(6.52)0.05(4.58)Skewness5.33(119.62)0.42(72.11)3.62(49.95)16.06(135.36)8.84(76.93)5.36(52.64)Kurtosis15.17(77.20)0.76(34.22)4.26(22.57)26.67(99.72)6.13(36.46)0.66(21.52)EU0.26(2.51)0.14(1.53)0.06(1.11)0.02(2.47)0.01(1.49)0.02(1.06)L
10.14720.09630.06910.14720.09260.0660L
20.03670.01540.00780.03680.01400.0070KL0.03330.01470.00770.03310.01420.0073This table describes the relative bias (RMSE) estimates of the first four moments and expected utility, as well as the three distancecriteria using 10,000 replications for each time period,N{ 100, 250, 500 }. We setz^
0.65 for convenience, and assume a coefficientof relative risk aversion equal to two, i.e.,α^2, with no disappointment aversion, i.e.,A
- The parameter values for the four
distributions, using the notation given in each of the references, are:α^7.06,β^1.58,δ^
0.26, andμ^
0.16 (NIG);a^
0.47,λ^
0.22,ν^
1.80, andm4.46 (Pearson Type IV);μ^0.1,σ^0.2,η^
7.49, andλ^0.18 (Skew Student’s-t ); andγ^
0.54,η^
2.12,ε^
0.20, andλ^0.36 (Unbounded Johnson,S U).