408 karma · joined May 28, 2013
Nowadays, though, you see this sort of behavior in legal and more respectable ways. However, I think the purported results are highly disingenuous. What do I mean? Let's use a well known investment advisory service known as AAII.
AAII has a model shadow stock portfolio with fairly well known and transparent stock selection criteria. However, they often announce stock picks and stock sells to their followers within a day, supposedly, of their actual transaction. I've been studying the behavior of their stock pick/sells announcements, and on average, stocks are trading +5% to -5% (depending on whether it was a buy or sell) within the day following the announcement. This is HUGE for many reasons:
1) They often have multiple transactions on the portfolio in any given year.
2) The performance on the portfolio is boosted by, on average, 5% for any buy or sell. Compounded, this makes a big statistically significant difference on their purported shadow stock portfolio's CAGR and strategy.
3) They do not disclaim this behavior as a caveat emptor.
4) Though their strategy is transparent, their data feed / source is not. No one will be able to replicate their stock picks/sells on their own with their own live data source.
I have, and although I don't think the current tech boom is as bubbly as the late 90's, I do see a lot of similarities in the area. Traffic, though, is no where near as bad as it was back then. But, it's getting there. However, construction is at an all time boom. I have never seen more cranes nor construction in SF ever. I think we are back to heady times, and I would be really cautious as an investor in the next 2 years.
I always think of that when I ponder about my own struggles with life, the human condition, and mortality. I really don't want to be that fearful of my own impending death if I get something like cancer.
It would be interesting to see some statistics on that.
No on industry. I'm on other math forums, and judging by the constant reposts of "Finding a job with a math degree", I really believe that it's tough finding a job in private industry as well.
Personally, I decided not to do a pure maths degree but instead concentrate on statistics. The job prospects in industry are much better in that field. And, my goal was to teach at community colleges. From my discussion with CC faculty, their most popular math courses are statistics. So, they often look for people who have strong stats backgrounds. My plan is to find work as a statistician and work as an adjunct until I can land a permanent TT job at the community colleges. I just got certified as a SAS programmer, and there are lots of jobs at there I can do remotely.
It was then I realized that doing a Ph.D. in STEM is a pretty piss poor proposition. I would highly discourage most people from doing it, unless you really love research, don't care about job prospects or money, and that's all you want to do in life.