If you can not sell it for some reason, then you would face
the uncertainty of the adjustment period.
Many borrowers who use adjustable - rate mortgages plan to either refinance or sell their homes before the initial fixed - rate phase has passed, avoiding
the uncertainty of the adjustment phase.
To recap: ARM loans generally start off with a lower rate than fixed - rate mortgages, but they have
the uncertainty of adjustments later on.
If you can not sell it for some reason, then you would face
the uncertainty of the adjustment period.
Here they are in a nutshell: The ARM loan starts off with a lower rate than the fixed type of loan, but it has
the uncertainty of adjustments later on.
If you can not sell it for some reason, then you would face
the uncertainty of the adjustment period.
Here they are in a nutshell: The ARM loan starts off with a lower rate than the fixed type of loan, but it has
the uncertainty of adjustments later on.
You could secure a lower interest rate for the first five years (when compared to a fixed - rate loan), and then you would sell the house before
the uncertainty of the adjustment period.
Not exact matches
The protectionist sentiment and general
uncertainty around U.S. President Donald Trump's economic plans, including the potential for a border -
adjustment tax, is another reason why the Bank
of Canada remains worried about exports.
We questioned the downward profile
of this
adjustment, arguing that risks /
uncertainties increase over time rather than decline and that larger and increasing
adjustments for risk should have been made.
Under these conditions, each
adjustment comes in steps, the step length being a multiples
of the error band, the collective «thermostat»
uncertainty.
However, given the
uncertainties caused by the financial crisis, the Harper Government introduced the «risk
adjustment factor» in its October 2010 Update
of Economic and Fiscal Projections, whereby the average
of the private sector economic forecasts for nominal GDP was adjusted downwards for fiscal planning purposes.
However, we feel that this
adjustment should increase over time, rather than decline, reflecting the greater degree
of uncertainty in the economic and fiscal projections as one moves forward in time.
Though a final deal on the United Kingdom's departure from the EU remains years away, the British pound has already experienced a significant
adjustment, a stimulus which we believe should go a long way toward offsetting the potential negative effects
of the
uncertainty surrounding the country's relationship with Europe.
With living standards already squeezed and with the considerable
uncertainty associated with the introduction
of the Universal Credit — a measure that needs to succeed and will inevitably have consequences that will require
adjustment — it would be irresponsible for further such steps to be taken.
«Looking at the amendments and the
adjustments made, it looks like they responded to the
uncertainties that are out there,» said Steve Frisch, president
of the Sierra Business Council, a group
of 4,000 businesses based in the Sierra Nevada that advocates for climate - and environment - friendly policies.
The
uncertainty associated with the use
of flux
adjustments has therefore decreased, although biases and long - term trends remain in AOGCM control simulations.
Whether it is a question as simple (on the surface at least) as when to file for Social Security, or something much more complex as to trying to anticipate cost
of living
adjustments to future monthly benefits; Americans can be certain
of one thing: the high level
of uncertainty that each retired or near retired individual faces.
However, Poloz reiterated the BOC's forward guidance that the BOC «will be cautious in making future
adjustments to our policy rate» because
of the
uncertainties already mentioned.
If you plan to sell or refinance the home during the initial fixed - rate phase, then you can avoid the
uncertainty of the first
adjustment period (provided you can sell or refinance the home).
The financial statements do not include any
adjustments that might result from the outcome
of this
uncertainty.
Of course, the
adjustment we are making has it's own
uncertainty (this is derived from a single model after all) and that needs to be taken into account too.
In comparing temperatures
of years separated by 60 or 70 years the
uncertainties in various
adjustments (urban warming, station history
adjustments, etc.) lead to an
uncertainty of at least 0.1 °C.
[Response: You have to realise that the
adjustment is quite small — within the published
uncertainty of the HadCRUT4 data.
Regardless
of whether such
adjustments are applied to the climate model output, the observations, using the latest data, fall inside the modeled range when we consider the numerous sources
of uncertainty for surface temperature data (c.f. Fig 4).
Hi Chris - yes the
uncertainties are large, much
of which is down to the fact that isostatic
adjustment may have affected raised shorelines in either direction.
Finally, none
of the papers address the
uncertainty due to
adjustments.
Uncertainties of estimated trends in global - and regional - average sea - surface temperature due to bias adjustments since the Second World War are found to be larger than uncertainties arising from the choice of analysis technique, indicating that this is an important source of uncertainty in analyses of historical sea - surface
Uncertainties of estimated trends in global - and regional - average sea - surface temperature due to bias
adjustments since the Second World War are found to be larger than
uncertainties arising from the choice of analysis technique, indicating that this is an important source of uncertainty in analyses of historical sea - surface
uncertainties arising from the choice
of analysis technique, indicating that this is an important source
of uncertainty in analyses
of historical sea - surface temperatures.
The disagreement was always about the scope and depth
of natural variability, on the point where data
adjustments become statistical manipulations, on gaps and
uncertainties in data, on the proper use and limitations
of climate models and on chaos in climate and models.
The explained variance claimed by [Shaviv and Veizer, 2003] is the maximum achievable by optimal smoothing
of the temperature data and by making several arbitrary
adjustments to the cosmic ray data (within their large
uncertainty) to line up their peaks with the temperature curve.
One drawback
of the deterministic homogenization approach is that the errors and
uncertainties due to
adjustment are not propagated into the final answer.
Rayner et al. 2006 took that model and used a range
of different, but nonetheless plausible, assumptions to estimate the
uncertainty in the
adjustments.
On the other hand, one could make a more NMAT - independent SST
adjustment with a greater spread
of uncertainties if that is required.
The HadSST3
adjustments minimise the effects
of the biases and attempts to quantify
uncertainties associated with the estimation
of the biases and the other two confounding effects, in order to better understand the climate signal.
In view
of the
uncertainty of the timing and extent
of all the changes making up the multiple
adjustments (six I think I counted) I find the similarity in form surprising.
Declaring the meta data unreliable implies an added *
uncertainty *
of the size
of the ERI - bucket
adjustment in the data.
«Because there is considerable
uncertainty in current understanding
of how the climate system varies naturally and reacts to emissions
of greenhouse gases and aerosols, current estimates
of the magnitude
of future warming should be regarded as tentative and subject to future
adjustments (either upward or downward).»
The
uncertainty is whether some catastrophic effects come into play and
of course the underlying concern is the large
adjustment time
of CO2 which does not allow us to do course corrections should the behavior change for the worse.
How much bigger must the error bars really be because
of adjustment uncertainty and proper accounting
of uncertainty in the averaging?
and «no data or computer code appears to be archived in relation to the paper» and «the sensitivity
of Shindell's TCR estimate to the aerosol forcing bias
adjustment is such that the true
uncertainty of Shindell's TCR range must be huge — so large as to make his estimate worthless» and the seemingly arbitrary to cherry picked climate models used in Shindell's analysis.
As a requirement, the statistical
uncertainty associated with the effect
of the
adjustments on the regional temperature record needs to be quantified and documented.
We show that (i) Siberian station temperature
adjustments were up to 1.3 °C for decadal means before 1940, (ii) tree - ring detrending effects in the order
of 0.620130.8 °C, and (iii) calibration
uncertainties up to about 0.4 °C over the past 110 years.
All these are
adjustments are doing is adding hidden
uncertainties in the place
of known
uncertainties.
If you want to apply a different TOBS (morning), a TOBS (Afternoon), a TOBS (Noon), and a TOBS (late evening), I have no theoretical objection ---- Provided the mean standard error
of the
adjustment is applied and another error source is added to account for the probabilistic
uncertainty that the wrong
adjustment is used.
The
uncertainty in method bias for any
of these
adjustment algorithms has to be estimated differently and is possible, I think, with proper benchmark testing, as I noted previously, where at least we can determine the limitations
of these approaches..
'' and how much error is added to the data with each estimated correction and
adjustment and how much
uncertainty flows to the results
of the analysis.»
Judith «The quantitative
uncertainty associated with each step in homogeneity
adjustments needs to be provided: Time
of observation, instrument changes,»
There are a number
of other issues related to BEST's
adjustments, including the massive loss
of spatial resolution they cause and how they help cause significant changes in BEST's stated
uncertainty levels.
This is intended to be a simple example, hence the lack
of discussion
of various
of effects across the U.S. and the focus on the mean bias; papers discussing
adjustments in the academic literature (Karl et al 1986, Williams et al 2012, etc.) focus a lot on
uncertainties.
Occasionally it is necessary to assess the homogeneity
of data without the use
of reference stations, but using such an approach means that detection and
adjustment take place with a much higher level
of uncertainty.