Our point was that low correlations don't automatically make it a good environment for active managers (as many have asserted), nor do
high correlations mean that there's no room for active managers to add value.
High correlations mean that things go up and down at the same time; negative correlations mean that they offset.
This high correlation means there was no downside protection in 2008.
Not exact matches
Historically, there's
high correlation between unemployment and mortgage defaults, and that could
mean more trouble yet to come.
When gold prices hit new
highs earlier this decade, gold had a positive
correlation to stocks,
meaning when stocks rose, so did gold prices.
While there is a strong
correlation between growth in gross domestic investment and growth in real GDP, the slope of that relationship is only about 0.2,
meaning that even if the growth rate of real gross domestic investment was driven from the recent growth trend of zero all the way back to the previous post-war growth rate of 3.5 %, the overall impact on real GDP growth would only be about 0.7 % annually, placing the level of U.S. real GDP about 2.8 %
higher 4 years from today than it would otherwise be.
Of course, the future may not look like the past; just because a stock has previously enjoyed a
high correlation with the market, does not
mean that it will going forward.
Fortunately,
high correlations with oil since earlier this year have
meant strong performance for most of these riskier assets.
If that does happen, there is an inverse
correlation between gold and the USD, which
means that there is a good chance that this would send the dollar up
higher against other currencies.
They first look at return
correlations and then consider
mean - variance portfolio optimization with global equities, U.S. Treasury bonds, U.S.
high - yield corporate bonds, emerging government bonds and frontier government bonds.
The inclusion of the entirety of this item as the starting point of calculations
means that one would expect there to be a
high correlation between growth of GNP and increase of ISEW.
Include the cost of building the new stadium and it is evident that overr this period the Arsenal have punched above their weight 3) There is a stong
correlation 90 % between the size of the wage bill and success in terms of winning trophies (in 2011 Arsenal 5th) 4) Arsenal supporters expectations for their team and manager are far too
high — the EPL is beyond their
means at present.
This answer is not
meant to be definitive proof that most software developers are left leaning, but I do want to show some
high correlations between your average software developer and your typical American democrat.
That they can just rank both
high and low doesn't
mean that there is no
correlation.
A coherent scene structure was needed to achieve the
highest correlation of activity between viewers in parts of the brain involved in extracting
meaning (The Journal of Neuroscience, vol 28, p 2539).
The
highest correlations between the net land carbon flux and continental biome
mean fire weather season metrics were observed in the tropical and subtropical forests, grasslands and savannas and xeric shrublands of South America where regional fire weather season length metrics accounted for between 15.7 and 29.7 % of the variations in global net land carbon flux (Table 5).
However, comparison of the global, annual
mean time series of near - surface temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a
high correlation (r = 0.96) for the period 1955 to 2005.
Sometimes, there is a
correlation — more LDL particles
means that you can have
higher levels of LDL - C.
That doesn't
mean it causes
high achievement — even
high school statistics students are taught «
correlation is not causation» — only that the two variables go up and down together.
It is important to note what these
high correlations do not
mean.
While these are also noted as statistically significant, using the table below one can determine that statistical significance does not necessarily
mean that such «very weak» to «weak»
correlations are of much practical significance, especially if and when
high - stakes decisions about teachers and their effects are to be attached to such evidence.
Fortunately,
high correlations with oil since earlier this year have
meant strong performance for most of these riskier assets.
Just because
correlations are
high does not
mean every stock is moving the same amount.
Many mutual funds are sector specific, so owning a telecom or healthcare mutual fund
means you are diversified within that industry, but because of the
high correlation between movements in stocks prices within an industry, you are not diversified to the extent you could be by investing across various industries and sectors.
«It's not exactly one - for - one, but if you look historically week - to - week, the
correlation is super
high, so an increase in the 10 - year yield is going to
mean higher mortgage rates in all likelihood.»
This is a
correlation alone — in other words, a stable, reliable stock probably has a (relatively)
high price but a
high price does not
mean it's reliable.
Well stated by Mike Roddy but it needs to be pointed out that valid evidence always correlates well, but unfortunately
high correlation does not necessarily
mean valid evidence.
As ECS showed in their paper (Table 1), the
high - frequency
correlations with NH
mean annual temperatures after 20 - year
high - pass filtering is only 0.15.
However, comparison of the global, annual
mean time series of near - surface temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a
high correlation (r = 0.96) for the period 1955 to 2005.
This is based on the
high correlation (r = 0.88) of the observed Global
Mean Temperature Anomaly (GMTA) to be represented by cyclic global
mean temperature pattern with an overall linear warming rate of 0.6 deg C per century as shown below:
While
correlation doesn't necessarily
mean causation of course, it does suggest that
higher taxes don't necessarily impede growth.
High mean temperatures in July decreased the growth of 40 % of white spruce at treeline areas in Alaska, whereas warm springs enhance growth of additional 36 % of trees and 24 % show no significant
correlation with climate.
Dieng et al., 2017 http://onlinelibrary.wiley.com/doi/10.1002/joc.4996/full We can note that the
correlation between GMST [global
mean surface temperature] trends and AMO trends is quite
high.
If comments above are
meant to suggest that the CET is irrelevant as a long term proxy for the changes in either the N. Hemisphere's or global temperatures variability, than it can be stated that the comments are wrong and misleading, since there is a
high degree of
correlation between the three relevant data sets.
«Working with data pertaining to 7450 cardiovascular - related deaths that occurred within Budapest, Hungary, between 1995 and 2004 — where the deceased were «medico - legally autopsied» — Toro et al. looked for potential relationships between daily maximum, minimum and
mean temperature, air humidity, air pressure, wind speed, global radiation and daily numbers of the heart - related deaths... scientists report and restate their primary finding numerous times throughout their paper, writing that (1) «both the maximum and the minimum daily temperatures tend to be lower when more death cases occur in a day,» (2) «on the days with four or more death cases, the daily maximum and minimum temperatures tend to be lower than on days without any cardiovascular death events,» (3) «the largest frequency of cardiovascular death cases was detected in cold and cooling weather conditions,» (4) «we found a significant negative relationship between temperature and cardiovascular mortality,» (5) «the analysis of 6 - hour change of air pressure suggests that more acute or chronic vascular death cases occur during increasing air pressure conditions (implying cold weather fronts),» (6) «we found a
high frequency of cardiovascular death in cold weather,» (7) «a significant negative relationship was detected between daily maximum [and] minimum temperature [s] and the number of sudden cardiovascular death cases,» and (8) «a significant negative
correlation was detected between daily
mean temperature and cardiovascular mortality.»
1 For attempts to measure the effect of advocacy quality through other
means, see, e.g., Banks Miller et al., Leveling the Odds: The Effect of Quality Legal Representation in Cases of Asymmetrical Capability, 49 Law & Soc» y Rev. 209 (2015)(finding that
high quality representation evened the odds for asylum applicants and that asylum seekers fared better when unrepresented than when represented by a poor lawyer); Mitchell J. Frank & Dr. Osvaldo F. Morera, Professionalism and Advocacy at Trial — Real Jurors Speak in Detail About the Performance of Their Advocates, 64 Baylor L. Rev. 1, 38 (2012)(finding statistically significant
correlations in criminal cases between jurors» perceptions of closing argument persuasiveness and jury verdict, and finding statistically significant
correlations in civil cases between perceptions of defense counsel's closing argument persuasiveness and defense verdict); James M. Anderson & Paul Heaton, How Much Difference Does the Lawyer Make?
Visual inspection of the matrices showed extremely
high correlation (tetrachoric
correlation = 0.95) of SCQ items 24 «when he / she was 4 — 5 did he / she nod his / her head to
mean yes?»
The square root of AVE of the variables is between 0.724 ~ 0.829, and the
correlation coefficients between latent variables which have significant relationship is between 0.009 ~ 0.609, and the AVE square root of all variables is greater than the
correlation coefficient of the latent variables, which
means the scales have a
high discriminant validity.
However, almost all of the
correlations were positive, indicating that residual gains on outcome measures were associated with
higher rather than lower
mean WAI - S scores, except in the relation between working alliance and anxiety.
Lastly, just for fathers emerged an inverse
correlation between spousal employment and parenting satisfaction,
meaning that fathers with the opinion that each spouse should decide about his / her own job, and not about his / her spouse's job, reported
higher levels of satisfaction in parenting.
Table 2 also indicates that the polychoric
correlations between child's sex and social skill dimensions were always significantly negative,
meaning that girls consistently showed
higher social skills than boys.