As I have been cleaning up my prior blog posts I have realized I mentioned a ton of “Stock of the Week” postings. Keeping that up on a weekly basis was too hard for a me, so I don’t see a reason for me to transfer all of those old stock of the week postings onto this site, but I felt this could be an opportunity for me to analyze and show how some of those picks turned out. I will be analyzing my prior stock of the weeks based on a couple of factors.
I will be deciphering what my sophomore high school self was trying to say with each mini post, then track the stock performance on the week I mentioned. From their either take it on a selective short term basis if my sophomore high school self was deeming that as the horizon and establish a long term outlook in which case I’ll display the performance from whenever I mentioned the stock until now.
Summary
My “Stock of the Week” posts were my very first posts that I shared for 2 months from December 2012 to January 2013. I posted 9 “Stock of the Week” posts from an array of industries. I used the S&P 500 as the benchmark comparison.
My results were as follows:
| Comparisons | S&P 500 | Stock of The Week |
| Week | 1% | 1% |
| Year* | 26% | 40% |
| To Date* | 46% | 85% |
*Year: 8 of the 9 Stock of the Weeks mentioned were measured on a year basis. Only one was measured on a specific quarterly basis. This was because of my horizon being a quarterly earnings period. Which this horizon is factored into the year category.
*To Date: The date mentioned is typically using June 22nd, 2015, although some are updated further (toJune 26th, 2015).
This data set is an average of the S&P 500 performance compared with the dates mentioned for the Stock of the Week postings. There were 9 separate Stock of the Week postings averaged. The S&P’s performance is then averaged over the same date periods that were measured for each Stock of the Week posting.
Results:
On average, my stock of the week postings did similar to the S&P 500 with a few outliers. Although over the course of a year, my postings outperformed the benchmark by an average of 14%. And by the course of roughly 2 1/2 years (December-January 2012-2013 to June 2015) my postings outperformed the benchmark by 39%.
Individual Case Data:
Here is the data I calculated using each of the 9 postings
| Companies | Date Posted | % Change by Week | % Change by Year | % Change to Present | S&P 500 Comparison | % Change by Week | % Change by Year | % Change to Present |
| VodaFone | 12/2/12 | 0% | 43% | 44% | 0% | 27% | 46% | |
| Dollar General | 12/9/12 | -6% | 30% | 67% | 0% | 27% | 50% | |
| FedEx | 12/16/12 | 3% | (Ending Q3) 7% | 95% | 1% | (Ending Q3) 9% | 50% | |
| Apple | 12/23/12 | -2% | 14% | 77% | 2% | 28% | 47% | |
| Celgene | 12/30/12 | 5% | 117% | 203% | 3% | 30% | 50% | |
| Monsanto | 1/6/13 | 3% | 25% | 49% | 0% | 25% | 41% | |
| Morgan Stanley | 1/13/13 | 11% | 54% | 95% | 0% | 25% | 43% | |
| Abbot Laborotires | 1/20/13 | 0% | 19% | 51% | 1% | 24% | 43% | |
| Illinois Tool Works | 1/27/13 | -3% | 22% | 43% | 1% | 19% | 41% | |
| Averages | 1% | 41% | 80% | 1% | 26% | 46% |
Celgene Corporation – By far the largest outlier, Celgene and the biotechnology sector has vastly outperformed the S&P 500 ever since 2012, and maybe even before that. So it isn’t too fair to average an entire index over Celgene but instead the industry average. Celgene still outperformed some of the leading biotechnology mutual funds and ETFs over the same period.
Illinois Tool Works – One of the few stocks that did not do as well as the S&P is Illinois Tool Works. ITW may have outperformed the S&P by 2% ever since my post date, but a 2% margin isn’t ideal.
Morgan Stanley – This was a good outlier because I gave Morgan Stanley a high probability of beating earnings based on other financial stocks beating earnings, but getting hit in the mortgage department, Morgan Stanley isn’t too big of a player in mortgages and had a nice week and year from when I mentioned the stock.
Acknowledgments & Purpose
Although I mentioned these as my “Stock of the Week” a week by week basis isn’t the best measure of performance ( I didn’t advise to either buy or sell these stocks on a week basis). It is difficult to determine a stocks weekly performance unless their a couple of factors present. Event driven analytics and/or earnings announcement or a special company event may drive a stocks weekly performance and could be easier to put a probability to its performance on a week basis (still hard to do). Otherwise economic conditions, market data, and industry news effects stocks on a weekly basis.
The purpose of this analysis was to present to the public my track record, along with analyzing old posts that I mentioned previously at http://www.alleywayinvesting.blogspot.com.
For questions or inquiries email alleywayinvesting@gmail.com for more information.