As of 12/20/2024
Indus: 42,840 +498.02 +1.2%
Trans: 15,892 +32.54 +0.2%
Utils: 986 +14.76 +1.5%
Nasdaq: 19,573 +199.83 +1.0%
S&P 500: 5,931 +63.77 +1.1%
|
YTD
+13.7%
0.0%
+11.9%
+30.4%
+24.3%
|
 44,200 or 41,750 by 01/01/2025 16,100 or 17,700 by 01/01/20251,050 or 975 by 01/01/202520,500 or 19,300 by 01/01/20256,100 or 5,775 by 01/01/2025 |
As of 12/20/2024
Indus: 42,840 +498.02 +1.2%
Trans: 15,892 +32.54 +0.2%
Utils: 986 +14.76 +1.5%
Nasdaq: 19,573 +199.83 +1.0%
S&P 500: 5,931 +63.77 +1.1%
|
YTD
+13.7%
0.0%
+11.9%
+30.4%
+24.3%
| |
|
44,200 or 41,750 by 01/01/202516,100 or 17,700 by 01/01/20251,050 or 975 by 01/01/202520,500 or 19,300 by 01/01/20256,100 or 5,775 by 01/01/2025 | ||
Some statistics have been updated to 4/18-19/2022.
This article discusses how long you need to hold onto a stock to make a profit, based on the performance of a market index.
The following results use data ending April 2010.
To make money, how long should you hold onto a stock? I'll give you the probabilities in a moment, but here's how I did it. I downloaded the daily, weekly, and monthly price data from yahoo finance using the S&P 500 index and then went to work. The data ranges from January 3, 1950 to April 13, 2010. For the computation, I used overlapping periods. For one year, as an example, I determined whether price closed higher from April 1, 2010 to May 1, 2009. Then I used the next month, March 1, 2010 to April 1, 2009, and so on. I summed the number of up closes compared to the number of samples and found the percentage.
In other words, I counted the number of times price closed higher for each period. The table below shows what I found.
Period | Percentage Up Closes | Period | Percentage Up Closes |
| Daily | 53% | 5 Years | 83% |
| Weekly | 56% | 6 Years | 86% |
| Monthly | 59% | 7 Years | 90% |
| 1 Year | 71% | 8 Years | 91% |
| 2 Years | 79% | 9 Years | 92% |
| 3 Years | 83% | 10 Years | 92% |
| 4 Years | 84% |
For example, if you bought the S&P 500 index and sold it a day later, you would have a 53% chance of making money -- all else being equal. If you hold onto the index for a week, the probability of a gain rises to 56%. Hold for 5 years, and the probability rises to 83%.
If you are having problems making money in this market, then consider holding longer. Or just buy low and sell high.
For Table 2, I counted the number of up closes (ties not allowed) for the Dow industrials, Nasdaq composite, S&P 500 index and 463 stocks (the stocks I follow daily) over various time periods, ranging from a day to a year. For example, if the Dow industrials closed higher the next day compare to the prior day, I counted that. The numbers show how often the Dow closed higher over the period studied, from October 1928 to April 2022.
If you want to buy and hold a position, select the Nasdaq. That index closed higher most often (winning or tying in 3 of 4 columns).
The table shows that the longer you hold a position, the more likely it is to be profitable. If you compare the S&P in this table (ending April 2022) with the prior one (ending April 2010), it made more sense (and cents!) to hold longer (meaning the numbers in the below table are higher than the prior table).
At the bottom of the table, I counted how often a stock closed higher than it opened and found it to be 50%. This would be a day trade.
| Class | Daily | Weekly | Monthly | Yearly |
| Dow industrials | 53% | 56% | 59% | 68% |
| Nasdaq composite | 56% | 57% | 60% | 74% |
| S&P 500 index | 54% | 57% | 61% | 73% |
| 463 stocks | 51% | 53% | 56% | 64% |
| Day trade 463 stocks | 50% |
Table 3 measures performance slightly differently. I chose a series of overlapping periods of x years long to measure performance over time. For example, I compared the opening price of February and compared that to the closing price of January a year later (that is, February 28, 2000 to January 31, 2001). If price climbed over that time, I logged it. Then I advanced one month and did the same computation, March to February, and so on until end of data. I did the same computation for the other time periods.
What I found was that the success rate of holding an index or individual stock increased over time (mostly). The Nasdaq stumbled in years 3 and 4 (dropping from 83.2% to 82.5%) and the S&P dropped in years 3 through 5.
Notice that the 463 stocks, as a group, under-performed the indices. I expected the numbers to be closer to the S&P's results.
The difference between Table 2s Yearly column and Table 3s 1 Year column is the overlapping monthly periods (used in Table 3) versus a year-to-year comparison in Table 2.
| Class | 1 Year | 2 Yrs | 3 Yrs | 4 Yrs | 5 Yrs | 10 Yrs |
| Dow industrials: Data starts 10/1/1928 | 67.9% | 73.5% | 77.3% | 78.6% | 80.4% | 87.9% |
| Nasdaq: Data starts 2/5/1971 | 76.4% | 81.9% | 83.2% | 82.5% | 86.5% | 94.5% |
| S&P 500: Data starts 1/3/1950 | 74.4% | 82.2% | 84.2% | 83.9% | 83.0% | 91.8% |
| 463 stocks | 65.0% | 68.9% | 71.7% | 73.7% | 75.9% | 83.7% |
-- Thomas Bulkowski
Support this site! Clicking any of the books (below) takes you to
Amazon.com If you buy ANYTHING while there, they pay for the referral.
Legal notice for paid links: "As an Amazon Associate I earn from qualifying purchases."
|
My Stock Market Books
|
My Novels
|
Menu: a list of dishes the restaurant has just run out of.
on