如何把握与利用公募基金对后市的真 实态度.docx
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1、一、基金仓位能否反映机构对A股的态度? 4(一)新发基金全过程简介4(二)新老基金的权益仓位对A股有指示意义吗? 5(三)对新基金产品观测周期的优化7(四)基于新基金权益仓位择时策略的优化11二、如何高频化观察机构建仓行为? 13三、偏股型基金数量和规模与A股走势的关系 17(一)基金数量常滞后于市场拐点 17(二)基金规模指标常滞后于市场拐点18四、风险提示202021年3月2日如何把握与利用公募基金对后市的真实态度?o中银证券图表13.新基金处于灵活配置期(1至4个月)在历史上的数量占比约稳定在50%基金数量占比() 100%0% 1个月内1至4个月4至6个月80%60%40%20%07
2、08 09 10 11 12 13 14 15 16 17 18 19 20资料来源:万得,中银证券(四)基于新基金权益仓位择时策略的优化类似于上文择时策略,我们进一步比照基于“灵活配置期”新基金产品权益仓位的择时策略,如下 图所示。我们发现该策略在20072018年期间与全体新产品(6个月内)的择时相关相似,两策略在 2019和2020年表现具有较大差异。具体来看,全体新基金产品在2019年多发出做多信号,而“灵活 配置期”基金产品并未发出有效做多信号,而两策略在2020年表现那么恰恰相反。图表14.新发偏股型基金产品首次财报披露的权益仓位领先股指走势2021年3月2日07 08 09 10
3、 11 12 13 14 15 16 17 18 19 20如何把握与利用公募基金对后市的真实态度?11o中银证券基于上述分歧,我们做一个简单的优化策略,即将“全部新基金产品”和“灵活配置期新基金产品” 两择时策略等权复合,这种方法可以赋予“灵活配置期”新基金更高的权重。具体回溯测试净值如下列图所示。图表15.新发偏股型基金产品首次财报披露的权益仓位领先股指走势策略净值产品”择时策略、“新产品复合”择时策略以及沪深300在历史各区间的年化复合收益可知:基于 “老产品权益仓位”的择时策略很难跑赢沪深300指数而基于新基金权益仓位变动的“复合择时” 策略显著跑赢沪深300指数。由此可见,观察新偏股
4、基金的权益仓位变动对把握下个季度A股指数 的涨跌趋势有重要的参考意义。图表16.基于新老产品择时以及复合择时策略年化复合收益比拟中银证券二、如何高频化观察机构建仓行为?为了更高频率的观察公募基金的建仓行为,我们尝试使用公募基金的净值数据来模拟新发基金产品 的仓位变动,具体的仓位测算可以从收益率和波动率两个维度进行尝试。思路一:基于收益率对新基金产品的仓位进行估算可通过计算处于建仓期的全部新偏股型基金产品(成立6个月以内)的规模加权收益率与区间沪深 300收益率的比值来估算仓位。由于基于收益率的仓位测算结果波动较大,为了更好的反映仓位变动 的趋势,可以对估算的仓位进行m周的移动平均处理。=新产品
5、加权收益率(t) 仓位= 沪深300收益率()因为新基金仓位叟谢夔成就痛转嘤善短料蝌发;蜩静嚓博便处中%指数涨跌判断进行最 优化”为目标对估算仓位区间变动k以及对估算仓位进行的m周移动平均进行优化。为了防止样本过拟合问题,我们用20072017年的周度数据作为样本内优化集合,2018年以后数据作 为样本外集合进行测试。 基于样本内数据,针对特定k和m,我们通过估算仓位变动对未来一周指 数涨跌预测胜率进行遍历测算,结果如下。图表亿基于收益率仓位测算参数遍历结果m = 1 m =2 m =3 m =4 m =5 m =6 m =7 m =8 m =9 m = 10m = ll m = 12m =
6、13m = 14m = 15m = 16m = 17 m = 18m = 19m=20m=21 m=22m=23m=24k=l0.46 J 0.460.450.4710|8|0.48 0.480.48 0.510.490.500.510.510.500.500.530.51 0.480.460.510.530.510.520.49k=20.460.4610.490.510.500.49 0.490.54 0.540.540.530.520.540.550.550.550.531 0.480.510.560.560.560.550.53k=30.46 0.490.490.510.500.50 0
7、.530.531 0.560.550.550.530.540.570.570.540.53 0.520.530.540.570.570.550.52U.3Iu.niU.D1U.TlU.DOU力6u.nzu.onumU.TlU廿1k-5U.480.500.50出叫0.540.530.540.560.570550.530.560.550.550.530.520.520.550.550.530.540.550.530.53k=60.480.490.50TO0.530.530.550.560.570.550.560.550.550.550.530.540.530.50.540.540540.530.5
8、30.54k=70.490.0.530.530.540.550.540.5410.560.560.570.550.520.530.530.540.530.530.540.560.540.5410.530.53k=80.490.540.530.560.560.560.540.540.560.57 0.570.550.540.540.540.530.540.530.550.540.530.550.540.54k=9k=100.510.500.540.540.560.550.561 0.560.5710.550.570.550.560.560.5610.56 |0.56 0.560.560.530.
9、550.560.530.540.54 0.550.54 0.550.540.540.550.520.530.530520.530.540.530.520.540.510.540.520.540.520.520.48k=ll0.500.530.550.530.530.560.5710.570.550.560.540.550.540.540.530.530.530.520.540.530.510.510.480.49k=120.510.510.530.55 0.560.540.550.550.530.5 10.550.550.540.530.530.530.520.530.530.530.520.
10、500.490.49k=130.510.540网0.550.540.55J0.520.540.540.540.540.540.530.530.520.520.520.520.540.540.520.510.510.51k= 140.500.550.560.560.550.550.530.530.550.550.540.530.530.530.510.520.520.530.540.520.530.520.510.52k=150.510.550.560.550.530.530.530.540.540.540.530.530.520.510.530.520.530.530.520.510.510.
11、520.510.51k=160.530.550.530.520.520.530.o40.530.540.520.530.530.520.520.520.520.520.510.510.510.510.510.520.50k=170.510.520.530.530.510.520.530.530.530.530.530.520.520.520.530.520.520.520.510.500.490.520.510.49k=180.480.480.510.550.540.520.520.530.520.530.520.530.520.530.530.510.520.510.510.520.510.
12、510.500.49k=190.470.510.520.550.540.530.530.540.530.530.530.530.540.540.520.510.510.510.510.520.510.510.500.50k=2O0.520.550:540.570.530.540.560.530.530.520.530.530.530.520.510.510.500.520.520.530.510.510.510.51k=210.53 0.50.560.540.540.540.530.530.540.510.510.520.520.530.510.510.49 0.510.510.510.510
13、.490.510.50k=220.510.560.560.550.550.530.540.550.540.520.510.500.510.520.520.510.52 0.5()0.510.510.490.500.490.49k=230.520.50.550.540.5:0.520.520.540.540.520.480.40.50k=240.490.520.520.550.530.530.530.540.520.480.490.40.49资料大源:万得,中银证券基于上述遍历结果,可知k=5, m = 9为最优参数,样本内周度择时胜率为57%。该参数下,估算的 仓位时间序列如下列图所示。202
14、1年3月2日如何把握与利用公募基金对后市的真实态度?13o中银证券o中银证券图表18.基于收益率估算仓位测算结果基于收益率估算仓位估算仓位(9周移动平均)思路二:基于波动率对新基金产品的仓位进行估算 可通过计算处于建仓期的全部新偏股型基金产品(成立6个月以内)的近一个月规模加权收益率的 波动率与沪深300近一个月的波动率比值来估算仓位。人侍二新产品近1个月波动率(t)巳仅沪深300近1个月波动率类同收益率估算方重 我们通过估算仓位拿了防止样本过拟合问题,基于样本内数据(2007-2017),针对特定k和m, 初嘎必T指%蒯端初庭阜行麟翕知多期氤片/)图表19.基于波动率仓位测算参数遍历优化结果
15、k=l k=2 k=3 k=4m = 10.500.500.500.51m =20.500.510.500.51m =3 in =40.50 0.510.50 0.520.52 0.53m =50.490.520.530.54m =60.530.540.540.55ni =70.540.560.550.54m =80.530.540.530.55m =90.540.540.540.55in = 10 0.55 0.55 0.56 0.56n = 1 1 0.55 0.56 0.56 0.57m = 120.56- 0.570.570.58m = 13 0.59 0.57 0.570.58m =
16、 14 m = 15 n0.58 0.580.56 0.560.57 0.550.58 0.571 = 16 H 0.56 0.550.540.55i = 17n0.540.540.540.57i = 18 in 0.53 0.530.570.58=19 ni0.560.570.550.57=20 in0.560.570.560.56=21 m).560.560.550.58=22 m =23 m =240.56 0.54 0.560.55 0.54 0.550.540.550.550.570.550.56k=5 -0.500.520.53-64-055-0.560.550.560.56-0.
17、57-0.580.590.570.560.560.56HhbV-0.58D.5804r?- 0.570.57-0.560.550.570.57-0.590.59-C LC0.58A - *7k-6UQO UQTU.04U.!)bU.JU|U.obu.bzO.o iO.u/0.560.570.o70.UO0.5/0.560.55k=70.580.590.590.580.560.560.560.540.55k=80.530.540.530.550.560.570.570.560.550.540.550.560.580.580.590.590.610.580.570.560.540.560.55-
18、-k=90.540.540.540.550.560.560.560.550550.550.560.570.570.590.590.600.580.580.570.550.550.550.540.54k=100.550.550.550.560.570.570.560.540.550.560.570570.580.590.580.580.570.570.550.550.550.560.550.55k=ll0.550.550.550.570.580.560.560.550.560.570.580.580.590.580.570.570.570.560.540.550.550.550.560.550.
19、570.550.560.570.570.580.590.580.580.570.560.570.560.550丽0.570.550.560.56k=13 k=140.590.580.560.560.570.570.570.570.560.560.560.560.560.580.570.580.570.580.580.590.590.580.580.580.570.570.570.580.570.580.580.580.580.580.560.560.550.550.560.550.560.560.560.570.560550.560.55k=15 k=16 k=170.580.560.530.
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