# 張鴻文:投資貝萊德股票(BLK)或iShares Core S&P 500 ETF (IVV) ## 1. 動機 : 動機 : 錢要投資基金公司股票?或投資基金?何者績效較佳? ---  --- ## 2. 資料視覺化 : 1.BLK表現 : 股價呈上漲趨勢   策略 : 長期投資  股利成長  美股股利採季配息 ### Data | Date | Dividend | Price |Dividend Yield| | --------- | -------- | ------ | --------- | | 2016/12/8 | 2.29 | 390.33 | 0.5867 | | 2017/3/2 | 2.5 | 391.65 | 0.6383 | | 2017/6/1 | 2.5 | 413.38 | 0.6048 | | 2017/8/31 | 2.5 | 419.01 | 0.5966 | | 2017/12/1 | 2.5 | 502.08 | 0.4979 | | 2018/3/6 | 2.88 | 548.66 | 0.5249 | | 2018/6/6 | 2.88 | 551.86 | 0.5219 | | 2018/9/6 | 3.13 | 471.96 | 0.6632 | | 2018/12/6 | 3.13 | 400.23 | 0.7821 | | 2019/3/5 | 3.3 | 432.52 | 0.7630 | | 2019/6/5 | 3.3 | 438.15 | 0.7532 | | 2019/9/4 | 3.3 | 415.64 | 0.7940 | | 2019/12/5 | 3.3 | 490.3 | 0.6731 | | 2020/3/4 | 3.63 | 495.31 | 0.7329 | | 2020/6/4 | 3.63 | 546.19 | 0.6646 | | 2020/9/3 | 3.63 | 579.12 | 0.6268 | | 2020/12/3 | 3.63 | 715.42 | 0.5074 | | 2021/3/4 | 4.13 | 683.21 | 0.6045 | | 2021/6/3 | 4.13 | 881.01 | 0.4688 | | 2021/9/3 | 4.13 | 937.28 | 0.4406 |  2.IVV表現 : 股價呈上漲趨勢   策略 : 長期投資  配息穩定  偏差值係多配一次息所致 | Date | Dividend | Price | Dividend Yield | | ---------- | -------- | ------ | ------------| | 2016/12/21 | 1.304 | 226.85 | 0.5748 | | 2017/3/24 | 1.032 | 235.39 | 0.4384 | | 2017/6/27 | 1.117 | 243.03 | 0.4596 | | 2017/9/26 | 1.284 | 250.75 | 0.5121 | | 2017/12/19 | 1.273 | 269.13 | 0.4730 | | 2018/3/22 | 1.229 | 265.47 | 0.4630 | | 2018/6/26 | 1.281 | 273.47 | 0.4684 | | 2018/9/26 | 1.277 | 292.02 | 0.4373 | | 2018/12/17 | 1.442 | 255.65 | 0.5641 | | 2018/12/28 | 0.322 | 249.33 | 0.1291 | | 2019/3/20 | 1.13 | 283.39 | 0.3987 | | 2019/6/17 | 1.778 | 289.74 | 0.6137 | | 2019/9/24 | 1.483 | 297.51 | 0.4985 | | 2019/12/16 | 2.039 | 319.32 | 0.6385 | | 2020/3/25 | 1.531 | 247.47 | 0.6187 | | 2020/6/15 | 1.261 | 306.89 | 0.4109 | | 2020/9/23 | 1.506 | 323.75 | 0.4652 | | 2020/12/14 | 1.61 | 364.35 | 0.4419 | | 2021/3/25 | 1.311 | 391.12 | 0.3352 | | 2021/6/10 | 1.225 | 424.04 | 0.2889 | | 2021/9/24 | 1.693 | 445.74 | 0.3798 |  ### 統計量 |Numerical Measures|Value (BLK)|Value (IVV)| |:----|-----|-----| |Mean|0.6233|0.4576| |Median|0.6158|0.4630| |Range|0.3533|0.5094| |Standard Deviation|0.10705|0.11773| |Variance|0.01146|0.01386| |Q1|0.5219|0.4109| |Q3|0.6731|0.5121| |IQR|0.1512|0.1021| ## 3. 問題重建與統計分析 : #### Problem formulation 1/2 1.令隨機變數$X$為BLK的年化殖利率(單位為百分比 %),假設殖利率服從常態分配 $X_i \sim N(\mu_i, \sigma_i^2)$。 2.令隨機變數$Y$為IVV的年化殖利率(單位為百分比 %),假設殖利率服從常態分配 $X_j \sim N(\mu_j, \sigma_j^2)$。 #### Problem formulation 2/2 2016/11~2021/10買BLK的平均殖利率$\mu_i$,IVV的平均殖利率$\mu_j$,我們想知道$\mu_i$ < $\mu_j$ #### Statistical analysis 1. 建立虛無假設 $$\begin{cases}H_0: \mu_i-\mu_j\leq 0\\ H_1: \mu_i-\mu_j> 0\end{cases}$$ 2. 給定顯著水準$\alpha=0.05$。 3. 檢定統計量$t_{stat}=\frac{(\bar{X_i}-\bar{X_j})-D_0}{se(\bar{X_i}-\bar{X_j})}\sim t_{(n_i+n_j-2)}$ 4. 找出拒絕域: $\{t>t_{(n_i+n_j-2,\alpha)}\}$,其中門檻值為 $t_{(n_i+n_j-2,\alpha)}=1.685$ 5. 資料算出的實現檢定統計量: $t^\ast=\frac{0.6233-0.4576}{\sqrt{0.01269(\frac{1}{20}+\frac{1}{21})}}=4.7077$ 6. 因為實現統計量落在拒絕域,我們拒絕虛無假設! ## 4. 結論 : 1. 貝萊德股票(BLK)的殖利率看起來是大於iShares Core S&P 500 ETF (IVV)的殖利率。 2. 延伸不負責任之量化投資建議: 可以考慮長期持有基金公司貝萊德股票(BLK),取代基金公司的基金iShares Core S&P 500 ETF (IVV)! ## 5. 資料存放 : | No | File | Description | |---|---|----| |1|[BLK](https://docs.google.com/spreadsheets/d/1HCuVvBPS48ALw75BBxyBLkG4CttlPVlZ/edit#gid=634777677)|股價| |2|[BLK](https://docs.google.com/spreadsheets/d/1BDFeaLl2ikVp6_N3V4rKqUG1RBChGKiS/edit#gid=1237226202)|股利| |3|[IVV](https://docs.google.com/spreadsheets/d/1C5ubMuZ5jeFcutj5ugRkVMbfdBEkEZ0P/edit#gid=2146630243)|股價| |4|[IVV](https://docs.google.com/spreadsheets/d/12Y5CRhArTOON3TEY-AJTiM88kuANk4Cr/edit#gid=1821952328)|股利|
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