stephenandrew
Recycles dryer sheets
- Joined
- May 5, 2007
- Messages
- 148
I accidentially posted this in the "Life After FIRE Fourm"--thought it was more appropriate to be here.
From Jason Zweig's Column in the 1/24/09 Wall Street Journal:
"History shows that the vast majority of the time, the stock market does next to nothing. Then, when no one expects it, the market delivers a giant gain or loss -- and promptly lapses back into its usual stupor. Javier Estrada, a finance professor at IESE Business School in Barcelona, Spain, has studied the daily returns of the Dow Jones Industrial Average back to 1900. I asked him to extend his research through the end of 2008. Prof. Estrada found that if you took away the 10 best days, two-thirds of the cumulative gains produced by the Dow over the past 109 years would disappear. Conversely, had you sidestepped the market's 10 worst days, you would have tripled the actual return of the Dow.
"Although we could make a bundle of money if we could accurately predict those good and bad days," says Prof. Estrada, "the sad truth is that we're very, very unlikely to do that." The moments that made all the difference were just 0.03% of history: 10 days out of 29,694."
I thought this was pretty remarkable.
From Jason Zweig's Column in the 1/24/09 Wall Street Journal:
"History shows that the vast majority of the time, the stock market does next to nothing. Then, when no one expects it, the market delivers a giant gain or loss -- and promptly lapses back into its usual stupor. Javier Estrada, a finance professor at IESE Business School in Barcelona, Spain, has studied the daily returns of the Dow Jones Industrial Average back to 1900. I asked him to extend his research through the end of 2008. Prof. Estrada found that if you took away the 10 best days, two-thirds of the cumulative gains produced by the Dow over the past 109 years would disappear. Conversely, had you sidestepped the market's 10 worst days, you would have tripled the actual return of the Dow.
"Although we could make a bundle of money if we could accurately predict those good and bad days," says Prof. Estrada, "the sad truth is that we're very, very unlikely to do that." The moments that made all the difference were just 0.03% of history: 10 days out of 29,694."
I thought this was pretty remarkable.