Sentences with phrase «survivor bias»

There's a lot of survivor bias in there.

This statistical trap is called survivor bias, and the term is as fitting for funds as for auto racers.

The problem with survivor bias is that it doesn't really indicate whether a strategy, or a technique, or a plan will work — and especially whether or not it will work for you.

Many of them seemed completely unaware of the concept of survivor bias in their portfolios and of course 20/20 hindsight, and none of them provided any kind of reliable / quantitative approach to determining future winners.

Survivor bias means the index is made up only of winners.

The DOW and other major stock indexes like the S&P 500 have one feature that ensures that they will continually rise and break new records: They are built on survivor bias.

Morningstar, which provided the data for MONEY's fund tables, «is committed to purging survivor bias» from its databases by the end of this year, says Don Phillips, the company's president.

I don't want to step over survivor bias but rather than address it head on I'll just share a Jesse Livermore quote:

A similar result was observed among those with very severe COPD (GOLD 4), which authors said likely reflects survivor bias.

We've hacked and slashed the data, dealt with survivor bias, point - in - time bias, erroneous data, and all the other standard techniques used in academic empirical asset pricing analysis — still no dice.

It's a classic case of survivor bias.

This is called survivor bias.

Survivor bias is focusing on people or things that «survived» while overlooking those that did not simply because they aren't visible.

Over time, as numerous studies have shown, nobody meets the market once you adjust for risk and the survivor bias.

Due to continual monetary inflation in the fiat money system and the «survivor bias» inherent in stock market index construction, nominal stock prices are rising 67 % of the time.

Other researchers had already shown that survivor bias can skew fund averages, but Carhart has done them one better.

(The S&P index, by the way, suffers almost no survivor bias, mainly because very few stocks drop out of the index for reasons of poor performance and because its average annual returns are not restated every time the membership of the 500 changes.)

In this show, we discuss things like avoiding the fear of data, learning from books that are winners, her version of survivor bias, revenue management, push versus pull marketing, and all with lots of examples that will help us to put Michelle's teaching into action.

The statistics behind hedge fund marketing suffer from backfill bias, survivor bias, and a few other biases.

Your «survivor bias» argument is specious because momentous investors only invest in non-dog funds.

The calculations use total monthly returns of oldest share class only, ignoring any load, survivor bias, and category drift.

(Note: survivor bias... what of all the developing markets that looked bigger in 1900, like Russia and India, that amounted to little?)

The Trend Followers and Market Wizards profiled in best selling books are not simply due to survivor bias, they have a specific set of skills.

You can't think that way when investing, because it's «survivor bias»; you see the successes topping the index charts, not the failures.

This, of course, will fail when the «nearby stations» are up to 1000 km away (and things like the PDO were on one phase during the baseline 30 years; and a different phase now, breaking the old pattern of correlation...) and have changed over time (that is, the baseline was made between 2 rural areas and the survivor bias shows up when the survivor is, oh, an Airport and it fills in a cow pasture...).