Value averaging forces you to buy less shares when the market is higher and more when it is lower.
Not exact matches
A startup selling via a direct sales
force will want to understand:
average order size, Customer Lifetime
Value,
average time to first order,
average time to follow - on orders, revenue per sales person, time to salesperson becomes effective.
Consequently I am inclined to question the
value of specialised strength development exercises where the athlete may be able to solve the task via increased
force production through ranges of movement that do not correspond to that initial 50 % of ground contact (why train something that doesn't separate good athletes from
average ones?).
For the
average American entering the labor
force, the
value of lifetime earnings for full - time work is currently $ 1.16 million.
Wouldn't DCA in combination with re-balancing your portfolio have a similar effect as
value averaging, since that also
forces you to buy high and sell low to maintain a desired ratio between stocks and bonds, while still putting all your money to work for you, and without predicting future returns?
There is no modelling of any orbital variations in incoming energy, either daily, yearly or long term Milankovitch variations, based on the assumption that a global yearly
average value has a net zero change over the year which is imposed on the energy
forcing at the TOA and the QFlux boundary etc..
- I assume that the winds even it out fairly quickly to allow the use of
average values for
forcing.)
3 Variations in the CO2
forcing function (& presumably all the GHGs) are also based on a yearly global
average value, so that there is also no daily or seasonal variation included in the models, let alone north - south variations.
Look at the purple line in Figure 1; ten decadal
averages, where the
forcing file contains 163 years of
values.
Since many of these processes result in non-symmetric time, location and temperature dependant feedbacks (eg water vapor, clouds, CO2 washout, condensation, ice formation, radiative and convective heat transfer etc) then how can a model that uses yearly
average values for the
forcings accurately reflect the results?
the problem is that this definition implicitly assumes that the global, time
average surface temperature is a definite single
valued function of the radiative
average forcing, which is far from being true since there are considerable horizontal heat transfer modifying the latitudinal repartition of temperature: the local vertical radiative budget is NOT verified.
As GWPs are concerned with a GHG emission today and as the
Forcing of CO2 is logarithmic, the
averaged 1750 - 2011
values would be roughly 25 % too low (so 28 becomes 37).
For a small amount of absorption, the emission upward and downward would be about the same, so if the upward (spectral) flux from below the layer were more than 2 * the (
average) blackbody
value for the layer temperature (s), the OLR at TOA would be reduced more than the net upward flux at the base of the layer, decreasing CO2 TOA
forcing more than CO2
forcing at the base, thus increasing the cooling of the base.
For the purposes of this report, radiative
forcing is further defined as the change relative to the year 1750 and, unless otherwise noted, refers to a global and annual
average value.
TOA = 0.62 [d (OHC) / dt] I used this to check my math and found the following
average forcing values to match my calculations.
Like JimD said, climate scientists calculate the
forcing from a longer duration end point than what amounts to an equivalent
average value over the last 55 years.
The striking consistency between the time series of observed
average global temperature observations and simulated
values with both natural and anthropogenic
forcing (Figure 9.5) was instrumental in convincing me (and presumably others) of the IPCC's attribution argument.
But I figured out that all stations are getting a calculated solar
forcing based on latitude, and when I
average all of the included stations I also get an
average of the solar for that particular combination of stations recorded in the
average solar
forcing, I also calculate the same
value with an
average Sun, and I generate an
average of the
average blend of latitude
values.
The corresponding working quasilinear wave equation for the barotropic azonal stream function Ψm ′ of the
forced waves with m = 6, 7, and 8 (m waves) with nonzero right - hand side (
forcing + eddy friction) yields (34) u˜ ∂ ∂ x (∂ 2Ψm ′ ∂ x2 + ∂ 2Ψm ′ ∂ y2) + β˜ ∂ Ψm ′ ∂ x = 2Ω sin ϕ cos2 ϕT˜u˜ ∂ Tm ′ ∂ x − 2Ω sin ϕcos2 ϕHκu˜ ∂ hor, m ∂ x − (kha2 + kzH2)(∂ 2Ψm ′ ∂ x2 + ∂ 2Ψm ′ ∂ y2), [S3] where x = aλ and y = a ln -LSB-(1 + sin ϕ) / cos ϕ] are the coordinates of the Mercator projection of Earth's sphere, with λ as the longitude, H is the characteristic
value of the atmospheric density vertical scale, T˜ is a constant reference temperature at the EBL, Tm ′ is the m component of azonal temperature at this level, u˜ = u ¯ / cos ϕ, κ is the ratio of the zonally
averaged module of the geostrophic wind at the top of the PBL to that at the EBL (53), hor, m is the m component of the large - scale orography height, and kh and kz are the horizontal and vertical eddy diffusion coefficients.
Since MEA stated (in Figure 1 of the SI) that ensemble -
average temperature response anomalies were relative to 1850, and nowhere did the paper suggest that
forcings were treated differently, as anomalies relative to 1850 - 59 or any other period, it seemed to me to be natural to use the
forcing values as they were.
To put it yet another way, the
average buoyant
forces that have to be exerted, the density and pressure profile, and all of the thermodynamic properties of the gas in the centrifuge are pretty much determined by the horrendously large
value of effective g in the centrifuge.
While this consistency is encouraging, it should be qualified by noting that: 1) The multi-model
average TLT trend is always larger than the
average observed TLT trend; 2) As the trend fitting period increases,
values of pf decline, indicating that
average observed trends are increasingly more unusual with respect to the multi-model distribution of
forced trends.
For the IPCC reports, radiative
forcing is further defined as the change relative to the year 1750 and, unless otherwise noted, refers to a global and annual
average value.
I was rather surprised that the first piece of data I looked at — the WM - GHG (well - mixed greenhouse gas) global
forcing for the
average of the MIROC, MRI and NorESM climate models, in Table S2 — is given as 1.91 W / m ², when the three individual model
values obviously don't
average that.
This
value of 375 CO2 - e is the actual
forcing that is currently acting to warm the oceans, melt ice, and cause gradual upwards changes in
average air temperature.
Howard, Eli certainly does not disagree, but the Rabett is not comfortable with single
valued simplifications such as global temperature and
average bc
forcings.
It varies up an down around an
average value that is positive because of the ever increasing external
forcing and the slow intake by oceans.
Well, let's assume like Bart that
Average temperature from 1960 to 2003 does not have a unit root, so we can regress the absolute
values on GISS» Net
Forcing.