Sentences with phrase «predict over the short term»

Long - term drivers are intact: Drug pipelines are notoriously challenging to predict over the short term, given the deep level of medical knowledge required, clinical testing and regulatory review.

So a Stumble may not tell investors much about the long term prognosis, but it is helpful in predicting over the short term.

Not exact matches

Republicans talk of sparking economic growth rates in the range of four per cent, but models run by non-partisan forecasters, such as the Wharton business school at the University of Pennsylvania, predict only a modest increase over the shorter term.

For example, investor Jack Bogle predicted at the outset of the Trump administration that the president's proposed infrastructure spending would be good for the economy in the short term but would be detrimental to the economy, stock market and society over the long run.

While it's hard to predict whether stock or bond prices will go up or down in the short term, it's possible to foresee movements over periods of three years or longer, the academy said.

This is for two main reasons; First, what the stock market does over the next few years means little in terms of your long term performance (as we will see in a later example) and second, because it is impossible to accurately predict short term movements in the markets.

Because earnings measured over shorter horizons such as one year are extremely volatile and mean reverting, the ratio of prices to current earnings does not predict future long - term returns.

HMV predicts that they'll be able to reduce their debt by 50 % over the next three years, making them financially secure in the short term future.

# 98 — ``... until the models have the ability to predict the short term variations occurring over the time interval of one year, we don't know how well the models have estimated natural variability.»

Many would think such a cooling outcome to be extremely unlikely (in the deep psyche impossible), but until the models have the ability to predict the short term variations occurring over the time interval of one year, we don't know how well the models have estimated natural variability.

Skeptical101 # 14 My interpretation and synopsis of the considerable technical detail and references provided by Tom Curtis # 15 & One Planet # 16, # 17 is that your»... not use it as an argument to support AGW» is correct if used over periods in which short term natural variability influences the trend strongly (< 30 years was mentioned sometimes) and, in particular, the models are not able to predict the ENSO conditions at all well.

The US CLIVAR Extremes Working Group was formed to evaluate whether current climate models produce extremes for the right reasons and whether they can be used for predicting and projecting short - term extremes in temperature and precipitation over North America.

As sea ice declines, it becomes thinner, with less ice build - up over multiple years, and therefore more vulnerable to further melting.15 Models that best match historical trends project northern waters that are virtually ice - free by late summer by the 2030s.25, 26,12 Within the general downward trend in sea ice, there will be time periods with both rapid ice loss and temporary recovery, 27 making it challenging to predict short - term changes in ice conditions.

GCMs are intended to project (not predict) average climate over the long term, and there has never been a claim that they could accurately predict short term variations that cancel out over several decades.

In short, the global climate models used in the IPCC reports have been very good at predicting the underlying human - caused global surface warming trend, beneath the short - term noise which will average out to zero over time.

Because of the time lags involve in the climate system, short - term changes can be very difficult to predict, but over a long enough timescale, these kinds of effects become all but certain.

c) If skeptics are doing it right and changes should be considered over 100 years, then one simply can not take much shorter term observations and derive from them that the 100 - year forecast is right (i.e. «there has been minimal temperature change overall from 1998 till 2010, so we are right to predict that temperature will not change over 100 years»).

Unable to predict what the world would look like in 10,000 years, but faced with the challenge of developing an object that would last that long, keep time accurately over the duration and be useful, the designers were forced to abandon short term thinking in favour of the long term.

Measured in % change in price over a given period, high volatility means unstable asset prices that experience wild, hard - to - predict swings in valuation over the short term.