如何建立一個戰勝大盤的動能投資組合?

by yyp20

在<<賺贏大盤的動能投資法>>裡, 身為避險基金經理人的作者Andreas F. Clenow示範了如何製作一個用個股組成的動能投資組合:

  1. 要有一個選股池, 作者用S&P 500–>這裡阿批會用MTUM這支Smart-beta ETF.
  2. 有一個篩選準則, 作者用近90天漲最多的前30名.–>由於MTUM已經是近12個月及近6個月漲最多的個股挑出來, 並經過波動處理, 給予動能分數並加權的結果, 所以我們就直接挑每月前10支就好了.
  3. 決定要買多少: 作者用ATR去調整權數, 這裡阿批就直接每支給他10%.
  4. 再平衡: 作者是每月再平衡, 阿批也是, 每個月第一個交易日, 依照前月底公告的持股前十名調整持股.
  5. 閃避系統性風險的某種機制: 書中是用200日均線, 破線就只出不進; 在這裡阿批冠軍策略(Accelerating momentum, ADM)的絕對動能, 以MTUM為單一絕對動能, 達到條件時十支個股直接出場, 改持有出場資產, 可以是現金, 也可以是與股市負相關的資產, 像是美國國債, 這回我們用TMF(3倍作多的20年國債), 讓組合在股市有系統性風險時也可以賺一筆.
  6. 個股賣出機制: 作者有用100日均線做個股的賣出機制, 這裡阿批不用.

作者有避險資金的資料源、程式能力, 可以找到得到S&P500過去20年, 每90天漲最多的個股, 還計入分割、配息、下市等資訊….

阿批只有Excel、Portfolio visualizer和網路上的公開資料, 也能行.

延伸閱讀: [賺贏大盤的動能投資法] 讀書心得及實驗

關於什麼是冠軍策略(Accelerating dual momentum, ADM), 可以讀下面這篇:

延伸閱讀: [雙動能投資]-讀書心得及摘要

為什麼用TMF可以讀這篇:

延伸閱讀: [諾貝爾獎得主的獲利公式LIFE CYCLE INVESTING]讀書心得+一個低風險(?)的槓桿投資組合

1

具體作法:

1. 先找到MTUM過往每月的持股前10名資料: 到Black Rock網站, 有MTUM每月的持股資料, 全部都給他抓下來.

https://reurl.cc/pmlW1Q

iShares MSCI USA Momentum Factor ETF 
prospectus Fact Sheet Download 
Overview 
Top Holdings 
May 6, 2021 
6 202'_ 
performance 
All Holdings 
CORP 
0M INC 
LDINGS INC 
INC CLASS C 
Key Facts 
Characteristi 
Asset Class 
Equity 
Eq u ity 
Equity 
Eq u ity 
Equity 
Eq u ity 
Equity 
Eq u ity 
Eq u ity 
Eq u ity 
Holdings 
Custom Columns 
Weight Notional Value 
AAP 
pyp 
GO 
apr 30, 2021 
Mar 31, 2021 
Feb 26.2021 
Jan 29. 
2021 
Dec 31, 2020 
Nov 30.2020 
Oct 30.2020 
sep 30. 
2020 
Aug 31. 
2020 
Jul 31, 2020 
Jun 30.2020 
May 29, 2020 
Apr 30.2020 
Mar 31. 2020 
Feb 28, 2020 
Jan 31.2020 
Dec 31. 2019 
Nov 29.2019 
Oct 31. 
2019 
GOOGL 
AOBE 
1 to IOOf 128 
ALPHABET INC CLASS A 
ADOBE INC 
THERMO FISHER SCIENTIFIC INC 
607 
5.27 
4.89 
4.81 
4.74 
4.10 
3.04 
2.98 
2_84 
2.77 
362.793099.52 
748.645.838.33 
695.557.806.58 
684.336.540.24 
673.68280661 
582.415.951.82 
432.307.897.6S 
423.887.771.90 
403.402.314.28 
393.372.719.96 
4 
. 13 
L iteratu re 
Filter list by 
Sector 
Consu mer Discretionary 
Information Technology 
Information Technology 
Information Technology 
Consu mer Discretionary 
Information Technology 
Communication 
Communication 
Information Technology 
Health Care 
a 
Show All 
Download Holdings O 
Holdings are subject to Change
2021/5/7 09:01 
2021/5/7 09:01 
2021/5/7 FF- 09:02 
2021/5/7 09:02 
2021/5/7 FF- 09:02 
2021/5/7 09:03 
2021/5/7 09:03 
2021/5/7 FF- 09:03 
2021/5/7 09:04 
2021/5/7 FF- 09:04 
2021/5/7 09:04 
2021/5/7 09:05 
2021/5/7 FF- 09:05 
2021/5/7 09:05 
2021/5/7 FF- 0906 
2021/5/7 09:06 
2021/5/7 09:07 
2021/5/7 FF- 09:07 
2021/5/7 09:07 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
Microsoft Excel 
22 KB 
22 KB 
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21 KB 
21 KB 
21 KB 
21 KB 
21 KB 
21 KB 
21 KB 
21 KB 
21 KB 
21 KB 
21 KB 
21 KB 
21 KB 
21 KB 
21 KB

1

2. 打開下載的檔案, 找出每月的前十大持股, 如下2021/3/31的持股前十名是TSLA, MSFT, NVDA, AMZN, AAPL, PYPL, GOOG, GOOGL, ADBE, TMO.

但GOOG和GOOGL其實都是Google, 只是一個有投票權, 一個沒有, 兩個都選會變成Google在組合中的權重比其它股多一倍, 所以剔掉其中任一個, 由第11名的DHR遞補.

iShares MSCI USA Momentum Factor ETF 
Fund Holdings as of 
Inception Date 
Shares Outstanding 
Bond 
cash 
Issuer Ticker 
TSLA 
MSFT 
AAPL 
AMZN 
NVDA 
PYPL 
ADBE 
TMO 
GOOG 
GOOGL 
DKR 
CRM 
31-Mar-21 
16-Apr-13 
Name 
TESLA INC 
Asset Clas Weight (7 Price 
Equity 
MICROSOFT CEquity 
APPLE INC Equity 
AMAZON COL Equity 
NVIDIA CORP Equity 
PAYPAL HOLIEquity 
ADOBE INC Equity 
THERMO FISH Equity 
ALPHABET IN' Equity 
ALPHABET Equity 
[F]NAHER CO Equity 
SALESFORCE.(Equity 
6.33 
5.15 
4.77 
4.59 
4.58 
4.09 
2.69 
2.78 
2.74 
2.72 
2.39 
2.17 
667.93 
235." # 
122.15 # 
3,094.08 
533.93 # 
24284 # 
475.3? 
456.33 # 
2,068.63 
2,062.52 # 
211.67

1

3.打開Portfolio visualizer–>Backtest Portfolio

PORTFOLIO VISUALIZER 
PORTFOLIO VISUALIZER 
Portfolio Visualizer is an online software platform for portfolio and investment analytics to help you make informed 
decisions when comparing and analyzing portfolios and investment products. Our suite of quantitative tools covers 
portfolio modeling and backtesting, Monte Carlo simulations, portfolio optimization, factor models, and tactical asset 
allocation models. 
VIEW EXAMPLES • 
Backtest Portfolio 
Backtest a portfolio asset allocation and compare historical aru± realized returns and risk 
characteristics against various portfolios 
Backtest Asset Allocation 
Backtest s 
Backtest Dynamic Allocation 
Factor 
Run regression analysis using Fanta-Fren 
assets or a portfolio to analyze returns agi 
Factor Regression 
Risk Factor Amocation 
Match Factor Exposures 
principal Component 
Factor Statistics 
Fund Factor Regressions 
Fund Performance Attribution

1

4. 把前十名的個股放進去, 把Portfolio#1旁選單點開來, 選Equal weight, 持股比例就會自動平均分配, 然後按Analyze portfolios即可.

iShares MSCI USA Momentum Factor ETF 
Fund Holt 
31-Mar-21 
16-Apr-13 
Inception 
Shares ou 66300,coo.oo 
PORTFOLIO VISUALIZER 
Reinvest Dividends O 
Shares Market Vi Notio 
Q 
Q 
Q 
Q 
Q 
Q 
Q 
Q 
Q 
Q 
Analvzc Portfolios 
Examples 
Portfolio 
10 
10 
10 
10 
10 
10 
10 
10 
10 
10 
Cancel 
FAQ 
Stock 
Bond 
Other 
Isuer Tick Name 
Display 
Factor Regression O 
Benchmark O 
P ortfolio Names O 
Portfolio Assets 
Asset I 
Asset 2 
Asset 5 
Asset 8 
Asset 10 (,evdd More) 
Total 
None 
Contact 
Portfolio 
Asset Clas Weight (Z Price 
TSLA 
MSFT 
AAPL 
AMZN 
NVDA 
PYPL 
ADBE 
TMO 
GOOG 
GOOGL 
DHR 
CRM 
NFLX 
NKE 
QCOM 
UPS 
LOW 
TESLA INC Equity 
MICROSOFT (Equity 
APPLE [NC Equity 
AMAZON CO. Equity 
NVIDIA CORI Equity 
PAYPAL HOL Equity 
ADOBE Equity 
THERMO Equity 
ALPHABET 
ALPHABET Equity 
DANAHER C(Eauity 
SALESFORCE Equity 
NETFLIX INC Equity 
NIKE INC Cl.' Equity 
QUALCOMM Equity 
UNITED 
LOWES COM] Equity 
6.33 
5.15 
4.77 
4.09 
2.74 
2.39 
2.17 
1.81 
1.76 
1.72 
67.93 
122.15 
242.84 
225.08 
190.18 
MSFT 
GOOG 
DHR

1

5.一秒鐘後結果出來, 選擇Monthly Returns.

Summary Exposures 
Portfolio Allocations 
Name 
Tesla Inc 
Metrics 
Annual Retums 
Monthly Returns 
Drawdowns 
Allocati•n 
1000% 
1000% 
10.00% 
1000% 
10.00% 
1000% 
1000% 
1000% 
1000% 
10.00% 
Drawdown 
-1685% O 
ets 
Roling Retums 
MSFT 
AOBE 
TMO 
DHR 
Microsoft Corporation 
Amazon.com. Inc. 
N A Corporatio n 
PayPal Holdings, Inc. 
Adobe Systems Incorporated 
Thermo Fisher Scientific Inc 
Alphabet Inc 
Danaher Corporation 
Save portfolio 
portfolio Returns 
T SLA 
Sharpe 
US Mkt 
Correlation 
Portfolio 
Portfolio 1 
Initial 
SIO,ooo 
Balance 
91.67 0 
CAGR 
48.19% 
Stdev 
2347% 
Year 
135.50% 
Year 
922%

1

6.把2021年4月的結果Copy到Excel工作表上

啊不是用2021/3/31的持股, 怎麼會是取4月的結果?

因為這個策略是每月1日依上月底公佈的持股前10名來決定下月的持股, 因此是取4月

就這樣不斷重複, 把2013~2021的結果都填上去, 可以視自己的需求加上備註, 像阿批有註記某些持股已經不在了的註記和每個月的持股明細, 還有補上S&P 500、MTUM、MTUM-TMF冠軍策略組合的報酬, 來看看是不是真的有比較好.

PORTFOLİO VİSUALIZER 
Amazon.com, Corporation 
Exampıes 
FAQ 
Corporation 
(MSFT) 
151% 
O.8S% 
595 % 
417% 
795% 
-4ş7% 
-265% 
1363% 
1106% 
1028% 
_674% 
-374% 
601% 
390% 
429% 
0.41% 
116% 
696% 
Tools 
Adobe 
Ş y ş tems 
Incorporated 
IADBE) 
143% 
480% 
-290% 
061% 
1137% 
655% 
34796 
-171% 
.779% 
11M2% 
932% 
1260% 
207% 
1555% 
702% 
452% 
0.20% 
312% 
694% 
stock_20210507 
Month 
10 
11 
a 
Portfolio 
I Return 
123% 
5.60% 
5.76% 
664% 
9.83% 
219% 
12.19% 
1435% 
_610% 
_413% 
16.19% 
986% 
2.72% 
0.00% 
Balance 
$26,405 
526,047 
526,367 
$27,843 
529,448 
$31,105 
534,491 
533,325 
530,763 
537,399 
$d0,577 
545,525 
564,844 
560,436 
$57,942 
567,322 
$73,959 
575,971 
$74450 
$71,451 
581 ,467 
Inc 
(J SLA) 
.662% 
6.76% 
3074% 
477% 
2679% 
5552% 
2.68% 
.2156% 
4921% 
679% 
2932% 
7415% 
-1391% 
-955% 
4627% 
1245% 
-1427% 
621% 
Apple 
Inc. 
(AAPL) 
.V64% 
ıvop,'. 
775% 
988% 
540% 
-1147% 
.698% 
1554% 
350% 
1474% 
216696 
-1025% 
-600% 
11 
.OEE% 
-797% 
073% 
762% 
DİA 
(NVDA) 
.062% 
3.92% 
1518% 
790% 
356% 
048% 
1430% 
-210% 
1088% 
2117% 
706% 
2600% 
1.20% 
-736% 
592% 
-256% 
.050% 
-26496 
1245% 
Paypaı 
Holdings, 
Inc. 
(PYPL) 
.122% 
-501% 
019% 
376% 
115% 
529% 
-1134% 
2847% 
2602% 
1240% 
4.12% 
-348% 
-553% 
1504% 
938% 
10596 
-655% 
301% 
Thermo 
Fishet 
n tifİc 
(TMO) 
-515% 
3.51% 
.3.60% 
18.01% 
3_83% 
1424% 
2.98% 
-172% 
022% 
-11 
3.03% 
bet 
Inc. 
(GOOG) 
.235% 
260% 
3.37% 
3.56% 
216% 
7.27% 
.1318% 
1598% 
5.95% 
.107% 
10.20% 
-1107% 
10.30% 
8.62% 
-050% 
4.79% 
1096% 
16.51% 
Cory 
Inc. (AMZN) 
-112% 
485% 
-227% 
235% 
v36% 
261% 
371% 
_622% 
350% 
2689% 
-128% 
1296% 
1471% 
905% 
-376% 
-358% 
4.34% 
281% 
.156% 
0049'. 
1107% 
B 
c 
E 
2019 
2019 
2019 
2019 
2019 
2019 
2020 
2020 
2020 
2020 
2020 
2020 
2020 
2020 
2020 
2020 
2020 
2020 
2021 
2021 
2021 
Year 
MTUMIO 500 
Month 
Rama rk 
Return Return 
Goog duplicated 
, üşe DHR 
p 
Holdings 
TSLA 
Q 
MSFT 
AAPL 
AMZI

1

7.當把每個月前十檔的績效的報酬填入Excel工作表後, 就可以得到”每個月持有MTUM前十名持股”的長期報酬, 其實就已經不錯了, 是同期S&P 500的二倍.

說填這個麻煩嘛? 也還好, 就幾個小時的工罷了….比起在市場裡的金錢損失, 這沒什麼, 再說長期報酬率真能提升個幾個百分點, 那數字也是滿可觀.

2014 
2015 
2016 
2017 
2018 
2019 
2020 
MDD 
MTUMIO% 
14.73% 
16.51% 
8.67% 
43.06% 
3.09% 
22.63% 
79.85% 
24.84% 
-16.12% 
sap 500 % 
13.49% 
1.26% 
11.81% 
21.65% 
-4.53% 
31.34% 
18.27% 
12.76%
MTtJM10 SAP 500 
DM MTuM_TMF 
ishares MTIJMIO_TMF 
PFE 
2013 
2013 
2013 
2013 
2013 
2013 
2014 
2014 
2014 
2014 
2014 
2014 
2014 
2014 
_OMY% 
449% 
622% 
308% 
-242% 
4 SC% 
-400% 
_023% 
443% 
CSS% 
106% 
620% 
293% 
_202% 
2.33% 
312% 
2.51 % 
082% 
072% 
233% 
_lßl% 
_0.26% 
CELG not available, 
use lith Biib 
CELG not available 
, use lith WMT 
CELG not available, use Ilth Biib 
CELG not available, use Ilth HD 
use Ilth HD 
CELG not 
CELG not available, use lith saUX 
-2.32% CELG not available, 
use Ilth MA 
6.72% CELG not available, use Ilth MA 
-3.42% CELG ,PCLNnot available, use Ilth MA,MCK 
-0.99% CELG ,PCLNnot available, use Ilth MA, MCK 
CELG ,PCLN, GGQ7not available, use 13th MA 
2.07% CELG not available, use lith MA 
-1.04% AGN not available, use HPQ 
4.60% AGN not available, use MMM 
AGN not 
use MMM, LMT 
AGN not available, use MMM, LMT 
AGN not available 
, use LMT 
-0.81% 
5.43% 
-1.05% 
.1.04% 
ACT, KRET not available, use LOW,MO 
3.79% AGN, KRET not available, use LOW,W3A 
-6.00% AGN, KHcnot avaiÄble, use LOW,WBA 
S.10% AGN, KHCnot available, use MO 
-1.73% AGNnot available, use UNH 
AGNnot available, use AG 
-0-13% Goog duplicated, use LINH 
-3.81% Goog duplicated, 
use UNH 
8.71% Goog duplicated, 
use UNH 
-064% Goon dunljcatprt 
Performance I @ 
PFE 
GILD 
GILD 
GILD 
GILD 
GOOGL JNJ 
GOOGL JNJ 
GOOGL FB• 
GOOGL 
GOOGL FB 
vz 
GILD 
GILD 
GILD 
JNJ 
GILD 
GILD 
JNJ 
MRK 
WF-c 
WFC 
Corpo rati 
on 
INTC 
MSFT 
GILD 
JNJ 
GILD 
DIS 
AAPL 
cvs 
AAPL 
V 
A"7N 
HD 
WMT 
GILD 
JNJ 
GILD 
BA 
MRK 
JNJ 
JNJ 
MRK 
JNJ 
INTC 
JNJ 
GILD 
INTC 
cvs 
cvs 
MPL 
cvs 
LLY 
SBIJX 
SBUX 
MRK 
MRK 
BA 
BA 
GILD 
PFE 
PFE 
AMZN 
AMZN 
AMZN 
AMZN 
BMY 
AMZN 
BRKB 
BRKB 
BRKB 
BRKB 
BRKB 
BMY 
BMY 
BMY 
AMZN 
DIS 
DIS 
DIS 
CELG 
DIS 
CELG 
CELG 
CELG 
CELG 
BRKB 
-2.32% 
6.72% 
-3.42% 
-0.99% 
4.07% 
2.07% 
.1.04% 
-0.67% 
-0.81% 
-0-69% 
5.43% 
-1.05% 
.1.04% 
3.36% 
-0-34% 
3.79% 
7.32% 
-3.81% 
.1.28% 
1% 
JNJ 
JNJ 
, (FBI 
Apple 
(AAPL) 
AAPL 
A.APL 
AAPL 
AAPL 
AAPL 
AMZN 
DIS 
AMZN 
AMZN 
AMZN 
GOOGL BRKB 
AMGN 
AMGN 
CELG 
CELG 
CELG 
HD 
DIS 
Bild 
CELG 
Bild 
MM M 
BRKB 
MMM 
BRKB 
MMM 
BRKB 
BRKB 
MMM 
CELG 
GGQ7 
MMM 
AMZN 
CELG 
AGN 
MMM 
cvs 
AGN 
cvs 
AGN 
cvs 
AGN 
d Muti" 
Corpmti (MMM) 
Hathaway 
BRKB 
cvs 
cvs 
BRKB 
UNP 
cvs 
cvs 
BRKB 
cvs 
BRKB 
MDT 
KRFT 
KRET 
MDT 
MDT 
KHC 
MDT 
LOW 
GOOGL AGN 
Bild 
SBUX 
MA 
MA 
PCLN 
PCLN 
CELG 
MA 
LMT 
LMT 
LMT 
LMT 
LOW 
LOW 
LOW 
KHC 
UNH 
AIG 
MA 
MCK 
PCLN 
AGN 
MMM 
MMM 
MMM 
WBA 
MO 
UNH 
UNH 
AGN 
MCK 
MA 
MA 
HPQ 
HPQ 
HPQ 
HPQ 
MDLZ 
MCK 
SBUX 
GOOGL BRKB 
-271% 
_002% 
-173% 
_064% 
WFC 
WFC 
MRK 
JNJ 
Corporati 
on 
MSFT 
GILD 
MSFT 
MSFT 
MSFT 
AAPL 
AMZN 
DIS 
DIS 
AMZN 
AMZN 
8RKB 
BRKB 
GILD 
GILD 
Inc 
AMGN 
JNJ 
INTC 
AMGN 
JNJ 
UNH 
UNH 
UNH 
UNH 
SBUX 
SBUX 
S8UX 
GILD 
GILD 
BRKB 
BRKB 
Hattmy 
(AWG') 
GILD 
AMGN 
AMGN 
INTC 
AMGN 
HD 
NKE 
MO 
MO 
MO 
BMY 
UNP 
AGN 
AGN 
AGN 
UNP 
DIS 
ACT 
SBUX 
SBIJX 
AGN 
NKE 
LLY 
NKE 
MCD 
MCD 
rur.n 
MMM 
cvs 
UNP 
UNP 
UNP 
Hntth 
Co 
PE i Tic 
Corpo rati 
UNP 
DIS 
DIS 
SBUX 
AGN 
AGN 
SBUX 
MDLZ 
GOOGL AGN MDLZ 
MCD 
NKE 
NKE 
NKF 
GOOGL GOOG AGN 
GOOG GOOGLAGN 
GOOG GOOGL UNH 
r:nnGl anna I INH 
2 PV MTUM TMF

1

8. 而阿批要的是在大盤有系統性風險時會有MTUM當作單一絕對動能開關, 去將整個投資組合轉換成TMF, 因此我們要需要:

(1)MTUM-TMF的冠軍策略(ADM)組合的轉換Timing, 這可由Portfolio visulizer–>Timing models–>Dual Memntum去創建MTUM-TMF的組合, 然後取得Timing時間.

Model Simulation Results (Jan 2014 - Apr 2021) 
Summary Metrics 
Signal Date 
05/07/2021 
Stan 
u 
May 2021 
13 
May 2020 
12 
Mar 2020 
11 
Apr 2019 
10 
Mar 2019 
g Feb 2019 
8 Nov2018 
7 Feb 2017 
6 oec2016 
5 Apr2016 
4 Feb 2016 
3 Nov201S 
2 sep2015 
Jan 2014 
Annual Returns Monthly Returns Drawdowns Rolling Retums Timig Periods 
100.00% Shares MSCI USA Momentum Factor ETF (MTUM) 
Asset 
MTUM 
MTUM: 4581% 
TMF: 1481% 
MTUM: 9.02% 
TMF: 17 
MTUM: 3.39% 
TMF: 24 06% 
MTUM_ 39 
TMF: 0.49% 
MTUM• 3 
TMF: 8.01% 
MTLIM: -342% 
TMF: 3.23% 
MTUM: 18.10% 
I -month 
-0.32% 
0.00% 
-3.04% 
0.01% 
o nth 
1170% 
0.03% 
Dual Momentum Model 
4581% 
1491% 
902% 
1700% 
339% 
2406% 
3975% 
0.49% 
386% 
8.01% 
-342% 
328% 
18.10% 
Weighted 
287% 
0112% 
287% 
002% 
May 2021 
Apr 2021 
2020 
Feb 2020 
Mar 2019 
Feb 2019 
Jan 2019 
oct2018 
Jan 2017 
Nov 2016 
Mar 2016 
Jan 2016 
oct2015 
Aug 201S 
Assets 
Months 
10000% Shares MSCI USA Momentum Factor ETF (MTUM) 
12 
10000% Shares MSCI USA Momentum Factor ETF (MTL.'M) 
2 100.00% Direxion (IMF) 
11 
10000% •shares MSCI USA Momentum Factor ETF (MTUM) 
100.00% Direxion Daily 20. ETF (TMF) 
10010% Shares MSCI USA Momentum Factor ETF (MTLJM) 
3 10000% Direxion Daily 204 YrTrsyBu11 3X ETF (TMF) 
21 
10010% Shares MSCI LISA Momentum Factor ETF (MTUM) 
2 10000% Direxion Daibi 204 YrTrsyBu11 ETF (TMS) 
8 100.00% Momentum Factor ETF (MTUM) 
2 10000% Direxion Daily ETF (TMS) 
3 10000% iShares MSCI USA Momentum Factor ETF (MTUM) 
2 10000% Direxion Daily (TMF) 
10000% Shares MSCI LISA Momentum Factor ETF (MTUM) 
20 
Equal Weight Portfolio 
4581% 
-1M9% 
902% 
2.12% 
3975% 
386% 
1810%

1

(2) 同期間TMF的報酬率, 這也可以從MTUM-TMF的回測資料中得到, 可以直接Copy或Download Excel檔.

Model Simulation Results (Jan 2014 - Apr 2021) 
Summary Metrics Annual Returns Monthly Returns Drawdowns Rolling Returns Timing Periods
2014 
2014 
2014 
2이4 
2014 
2014 
2014 
2014 
2014 
2014 
2014 
2014 
2015 
2이5 
2015 
2015 
2이5 
2015 
2015 
2015 
2015 
2이5 
2015 
2015 
2016 
2016 
2016 
2016 
이|4| Momentum M예el 
Retum 
-232% 
672% 
-312% 
•0뜨9% 
44786 
207% 
•1℃4% 
440% 
•0죠7% 
230%. 
375% 
•021% 
-169% 
•1 05% 
-104% 
136% 
-134% 
5.10% 
•173% 
•321% 
8.71% 
•0죠4% 
•063'石 
Balance 
510,425 
510.068 
510.374 
510,588 
510,478 
510.960 
510,887 
511.137 
5111555 
511,461 
511.382 
512,000 
511.875 
511.751 
512,147 
512.105 
512,564 
511.810 
$14413 
512,197 
512.262 
512,246 
511,780 
SI기805 
512,723 
512.643 
Equal Weight P에tf혜0 
Retum 
-232% 
672읽, 
-342% 
•0S9% 
4.07% 
•1t4% 
440% 
•0죠7% 
230%. 
375% 
•181% 
-069% 
•145% 
-1 04% 
136% 
-034% 
379% 
•F00% 
-1 89% 
732% 
0.53% 
-113% 
-1 28% 
531% 
•163% 
Balance 
59,768 
510.425 
510.068 
510.374 
510 588 
510.478 
510 960 
510.887 
511,137 
511,555 
511,461 
511.382 
512,000 
511.875 
511.751 
512.147 
SI기105 
512 564 
511.810 
511.587 
512.435 
SI기501 
512,485 
512.009 
511.856 
512 485 
512.407 
iShares MSCI USA Momentum Factor ETV (MTUM) 
672% 
-342% 
•까99% 
447% 
•1t4% 
460% 
•167% 
230% 
375% 
요81% 
-069% 
543% 
-1 04% 
336% 
-034% 
379% 
•F00% 
0.53% 
-113% 
321% 
-128% 
531% 
•0 63% 
Direxion Dai* 20• Yr Trsy Bull 3X ETV (TMF) 
163% 
176% 
596% 
879% 
151% 
1442% 
•6뚀5% 
846% 
908% 
938% 
31.01% 
•17晷7% 
257% 
-1030% 
•7S1% 
-1249% 
1340% 
275% 
5.10% 
-271% 
1774% 
8.71% 
•0-64% 
-239%

1

9. 在原先填寫報酬的Excel工作表, 貼上TMF的報酬率, 並加上絕對動能的欄位, 就可以得到每月MTUM前10名的持股, 用MTUM當絕對動能去切換成TMF這個組合的報酬率.

K30 
A 
29 
30 
31 
32 
33 
34 
35 
36 
37 
38 
39 
B 
c 
MTUMIO 
ishares MW USA 
Factor ETF 
.1.89% 
7.32% 
-0.13% 
-3.81% 
.1.28% 
s.31% 
-0.63% 
2.95% 
Bun Erg 
13.40% 
.2.75% 
5.10% 
-I. 73% 
-2.71% 
-2.41% 
17.74% 
8.71% TMF 
-0.64% TMF 
-2.39% 
MTUMIO_TW 
retur n 
st0% 
-064%

1

10. 接下來是要算每年的報酬率, 但不是用每個月的報酬率去直接加喔!

這裡應該是幾何平均報酬, 懶得帶公式的玩法就是先把報酬率換成每月的帳戶餘額.

LIO 
Year 
10 
11 
12 
13 
14 
15 
16 
B 
Month 
c 
.242% 
400% 
-023% 
0.58% 
momentu 
GIOCOJX(I+KIO) 
MTUMIO TMF MTUMIO IMF 
2014 
2014 
2014 
20 u 
2014 
20M 
2014 
-0.23% 
443% 
9,758 
10,197 
9,789 
9767 
10,199 
10.255 
10,364 
Remark 
CELG n 
CELG n 
CELG 
CELG 
CELG 
CELG n 
AGN nc
Lil 
Year 
10 
11 
12 
13 
14 
15 
16 
17 
B 
Month 
c 
MTUMIO 
J 
2014 
2014 
2014 
2014 
20 u 
2014 
2014 
momentu 
400% 
-023% 
620% 
MTUMIO TMF MTUMIO TMF 
.242% 
-023% 
820% 
g. Iss 
9,789 
9.767 
10.199 
10.2" 
10.364 
11.007 
Remark 
CELG not 
CELG not 
CELG ,PCLN 
CELG ,PCLN 
CELG ,PCLN 
CELG not 
AGN not 
AGN not avi

1

11. 再用樞紐分析表去抓每年12月底的帳戶餘額.

Month 
2013 
2014 
2015 
2016 
2017 
2018 
2019 
2020 
12 
ЖЕ - ОМ МТИМ10 TMF balance 
11,473 
12,632 
13,800 
19,575 
26,385 
35,345 
69,381

1

12. 比較和前期的差額比率就是年報酬率了.

сз 
2 
з 
4 
5 
7 
8 
2014 
2015 
2016 
2017 
2018 
2019 
2020 
в 
мтикпо 
balance 
11,473 
13,368 
14,527 
20,781 
21,423 
26,272 
47,252 
с 
мтим10% 
14.73% 
16.51% 
8.67% 
43.06% 
3.09% 
22.63% 
79.85% 
13.49% 
1.26% 
11.81% 
21.65% 
453% 
31,3496

1

13. 也可以依自己的需要加上需要的數字, 像阿批會看年複利成長率CAGR, 就公式帶一下囉….

最大回撤(MDD)是阿批很在意的, 通常我會從月報表上每個去細看找出來.

其它的比率像是Sharp ratio, Sortino ratio, 要去找每年的無風險利率, 比較麻煩, 有時就大概看一下標準差和CARG的比較, 心裡有底就好了.

2 
2014 
з 
2015 
4 
2016 
5 
2017 
2018 
7 
2019 
8 
2020 
9 
10 
CAGR 
11 MDD 
в 
мтимш 
Ьа[.псе 
11.473 
13,368 
14,527 
20,781 
21,423 
26,272 
47,252 
с 
катим 
14.73% 
16.51% 
8.67% 
43.06% 
22.63% 
79.85% 
24.84% 
-16.12% 
500 % 
13.49% 
1.2696 
11.81% 
21.65% 
4.53 % 
31.34% 
18.27% 
12.76% 
-19.63%

1

14. 最後的結果長這樣, 每月從MTUM挑前10名, 以MTUM為絕對動能, 切換TMF的組合, CAGR是31.88%, 同期S&P 500的報酬率是12.76%, 回撤也比較大.

與直接持有MTUM、直接持有每月前十名及使用MTUM-TMF冠軍策略(ADM)組合的比較, 也是較佳.

這樣算是親自驗證了<<賺贏大盤的動能投資法>>的投資方式了, 的確有效.

不過, 這樣的回測期間也還是算比較短的, 也不能忽略實務上每月再平衡是會因為買不滿整股或是損益金額太小無法再平衡的, 再加上進倉的滑價, 多少會有一點誤差啦,

再來, 持股10支, 要承受的個股風險也需要考量, 不過仍然是一個不錯的組合.

мтикпоммтим) 
мтим_тм; % 
2015 
2016 
2017 
2018 
2019 
2020 
моо 
мтим10% 
14.73% 
16.51% 
8.67% 
43.06% 
3.09% 
22.63% 
79.85% 
24.84% 
46.12% 
мтим% 
14.61% 
8.93% 
37.50% 
27.25% 
29.85% 
16.59% 
-17.90% 
14.73% 
10.1096 
9.25% 
41М% 
34.79% 
33.96% 
963096 
31.88% 
-13.66% 
14.61% 
6.84% 
6.84% 
35.29% 
29.52% 
37.52% 
51.01% 
и.97% 
1.26% 
11.81% 
21.65% 
.4.53% 
31.34% 
18.27% 
12.76% 
49.63%

1

以上僅是個人的研究思考, 不是投資建議, 想要進場仍需自行做好功課.

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