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The week's question
In December 2024, in the thread "Re: BRK: Why Not XOM?", BreckHutHigh asked the members: "What about the long road trips with kids?" This week it is put to everyone again. The button below opens the small thread re-asking it - read what others have said so far, then give your own answer as an ordinary reply.
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Investment Strategies / Mechanical Investing
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Author: Taz2   😊 😞
Number: of 6131 
Subject: ROE_Cash_Defensive
Date: 11/04/24 10:08 AM
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No. of Recommendations: 4
I'm retired, so I focus more on risk reduction than beating the market. I liked Jim's ROE_Cash idea and the concept of having my own pseudo-index-tracking portfolio; however, if possible, I wanted the Maxx DD, Std Dev, and Beta to be lower than the standard index while still approximating its annualized return.

After trial and error I arrived at the following concept:
i) Use the Russell1000 as the stock universe (1000 largest Cap)
ii) Take ROE_Cash
iii) add market timing
BenchmarkPrice > 200-day SMA
VIX < 200-day SMA OR VIX < 15
VIX < 30
iv) stay out of industries that collapsed during previous recessions
Sectors: BIZSVCE, CONSUMERSVCE, CYCLICALS, FINANCIAL, INDUSTRIAL
Subsectors: STOREDEPT, MERCHRETAIL, PRODHOUSE, INSURANCE, TECHCONSULTSVCE
Industrys: FOODPRODUCTION, FOODDRINKMFR, PRODHOUSEIND, TEXTILE
v) eliminate companies that have wildly divergent analysts estimates
Between(ProjPECurFY , 0.5 * FMedian(" ProjPECurFY") , 2*FMedian(" ProjPECurFY") )
vi) keep companies whoes ROC > WACC + 10
vii) add a final sort on the 20 companies with the highest Timeliness Rating.

I use P123 so I don't have access to VL's timeliness rating. However, back in the mid '90's I had a friend who was a whiz with SPSS so one month we entered all the data on VL T1 stocks to see if SPSS could find a definite correlation of variables leading to T1 stocks. The following did pretty well in 1995:

Timeliness = Beta * TotalReturn26W * (CurFYEPSMean/EPSInclXorA)

It wasn't perfect, but it did identify around 3/4 of the T1 stocks in 1995.

Anyway, over a 23-year P123 backtest ROE_Cash_Defensive has the following numbers:

Annualized Return: S&P500 8.42%, Screen 9.62%
Max DD: S&P -55%, Screen -18%
Std Dev: S&P 15%, Screen 11%
Beta: Screen 0.33

It stayed out of the market during the 2001 Internet Crash (10-01 thru 3-03), the 2007 recession (07-07 thru 06-09), and the bulk of the COVID crash (12-21 thru 01-23).

I was wondering if this would hold up if done using VL and Jamie's screener or is this just a result of too much data mining on my part?

Taz
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