by Russian_Cowboy » Fri 17 Jun 2005, 03:03:46
$this->bbcode_second_pass_quote('halfin', 'T')he point is not that professionals are always right. The point is that you, many of you, look at the evidence and find it VERY LIKELY that there will be major shortages this winter that will send prices up. You are basing this not on private information - you aren't personal friends with Saudi royalty, nor do you refine gasoline for a living - but on publicly available information. Yet you find this information very convincing! You think, many of you, that it's almost a foregone conclusion that things will work out this way.
The point of the information from the futures market is that it is based on a consensus of thousands of traders who are spending every waking moment gathering every scrap of information to try to predict prices. They will do anything they can to gain even the slightest edge over their competitors. They have big bucks on the line, their savings, their livelihoods.
So the real point is this: they know everything you do, they have given it more thought and study you have, and they know more as well. And they have derived a very different conclusion than you have. How can you explain that? How can you assume that you are more likely to be right, when people who know more about the issue than you do and who spend more time thinking about it disagree?
Shouldn't that at least cause you to question your degree of conviction about what will happen? Don't you wonder, what do all those futures traders know that I don't? Or do you think you know stuff that they don't??? You're just fooling yourself if so!
Halfin, I must disagree with you. Oil supply-demand situation is affected by zillions of factors and no trader can recognize even a significant share of these factors let alone assign weights to them. You may know a lot of insider information, but it is garbage if you do not have a model that connects this information with the future oil prices. And there is no such model, even a very crude one. You could probably train a time-series based neural net, that takes these factors as inputs, to predict future oil prices. But you can't because there is not enough historical data and the relationships between these factors and the resulting oil price change with oil depletion.