Not exact matches
It doesn't «understand» what it has analyzed, so it is unable to apply its
analysis to
scenarios in other contexts.
A.P. Economics Barry Ritholtz (The Big Picture) Mish (Global Trend
Analysis) Anonymous (Calculated Risk) Boone, Johnson & Kwak (Baseline
Scenario) Yves Smith & Co. (Naked Capitalism) Prieur
du Plessis (Investment Postcards) Hamilton & Chinn (Econbrowser) Greg Mankiw (Greg Mankiw's Blog)
«I could see that there were many things I could
do that would be valuable for the organization — cash flow projections, budgets under different
scenarios, sensitivity
analysis — but time is always at a premium so I ended up spending my time on the must -
do things like annual reports and AGLC audits.
If it is
done using data and
analysis that is applicable to the hypothetical
scenario.
If you don't want to read a detailed
analysis, I'll sum it up: the studies didn't look at enough cloth diapering families, and they only took the worst - case
scenario for cloth (environmentally speaking) to compare to the best - case
scenario for disposable.
The authors note that cost - benefit
analyses of sustainable land management
scenarios «can be
done even with limited data availability, «and underscore that, despite an inevitable degree of uncertainty, «it is imperative to take action now, as every day sees the loss of more productive land that will have to be gained back.»
As more images become available for civilian
analysis, he said, «you can envision
scenarios in the very near future where ad hoc groups would have the ability to crowd - fund the cost of the imagery, and you already see in the humanitarian space where they are
doing the
analysis themselves.
All the
scenario analyses that researchers have
done over the years always put very high ground motions under Kathmandu and destroyed it a lot.
When
doing long date range analytics and estimating various
scenarios, it would seem existing stock data base information with monthly open / close price data the
analysis would be flawed.
Let's look at a
scenario that can illustrate the kind of
analysis you'll need to
do in order to make a decision.
due to the opportunistic nature of contrarian investors it would be interesting to see the
analysis (and yes I shall
do it myself:) of contrarian performance in slightly different
scenario: — reaching (minus)-10 % performance in 6 months after bullish sentiments — reaching (plus) 10 % performance in 6 months after bearish sentiments
I'm going to
do it through
scenario analysis and regression.
I haven't
done the
analysis, but the prior assertions that IFT's portfolio could move into net cash generation in 2013 or 2014 doesn't make any sense to me — but you / everybody shd perform their own detailed
analysis to examine likely
scenario (s).
The proof will be in re-creating my
analysis, which I'll get around to eventually, but eye - balling it (& per your comments) this certainly doesn't seem to suggest any kind of radically different
scenario.
So if you're uncomfortable
doing this sort of
analysis on your own or you're dealing with substantial sums of money, you might consider hiring a pro who can run a variety of different
scenarios and help you arrive at a decision that makes sense for your particular circumstances.
What I've
done in the second
scenario analysis is take a 10 year T - Note and show what happens if yields collapse in years 5 - 8 to 1.5 %.
The statistics include a varying range of statistical
analysis such as your total points score and challenges score; time played; the amount of challenges completed, secrets found, enemies killed, damage
done, deaths, objects destroyed and damage received; the individual mission score for each of the twelve chapters; and the individual survival scores for each of the four survival
scenarios.
What we can see from stabilisation
scenarios and the possibilities of positive feedbacks in the carbon cycle is that we don't have two decades to wait to get detailed information to enable us to make a near - perfect cost - benefit
analysis.
Interested readers can read the article for details about how the
analysis was
done, but basically Wigley and Raper presented probability density functions, based on all of the IPCC TAR
scenarios.
The 3 forcing
scenarios are nothing to
do with the model — they come from
analyses of real world emissions and there will always be ambiguity when forecasting economics.
I have to admit that I get a little frustrated by the
analyses of Hansen's A, B and C
scenarios done at CA and RC and particularly so when it is
done in piecemeal fashion.
Before using
scenarios or climate simulation results, it is important to make sure you have formulated specific questions you want to address, and to investigate whether you can
do that using the results of existing
analyses, rather than performing your own.
As
scenario analysis is mooted as a useful tool to understand the risks of the energy transition, it is clear that using a
scenario with no changes in technology and policy (the CPS) or the new policy
scenario (NPS)(AKA the «no new policies
scenario»), which includes what is already known about and set to come into force
does not help companies or their shareholders understand risk and opportunity.
Basically, a single
scenario approach... Nothing to
do with «real options» or with «climate informed decision
analysis» methodologies as suggested by the World Bank today.
To summarize, most of these economic
analyses agree that a carbon pricing policy will reduce U.S. GDP - growth by less than 1 % over the next 10 — 40 years as compared to an unrealistically optimistic BAU
scenario in which climate change
does not impact the economy.
This
scenario analysis by itself is just more polemic crap: if we go back to stone - age wealth and decimate the population we can
do without any new renewables and solar electrical power.
Sensitivity
analysis shows that different assumptions of climate sensitivity, carbon cycle model or
scenario do not substantially change the outcome.
Every single
analysis published since the final CPP rulemaking finds that, even if optimistic
scenarios don't come to pass, states need
do little to hit EPA emission targets.
I can not envision a
scenario in which this paper is taken seriously until considerable updating is
done, and the
analysis is verified with much more appropriate data sources.
Since hurricane paths don't always hit the same city, having an identical population, likewise buildings and economic infrastructure, it is incorrect to make hurricane financial impact assessments while looking at a long time spans, an
analysis without nearly identical landfall
scenarios doesn't mean much.
The research involved was
done by the German space - research institute, which has long worked on energy
analysis, too; its experts were commissioned to
do the work by Greenpeace, and a Greenpeace staff member with an engineering background, Sven Teske, was the
scenario's lead author when it was published in a couple of different forms in peer - reviewed journals.
Aurora's financial
analysis features allow you to model the impact of different
scenarios on a project's finances, as we have
done here.)
My problem with your
analysis is that it seemed to be presented as an «either / or»
scenario...»
do nt
do this,
do THIS.»
The above
scenario is an actual
analysis I
did for a client of mine who received Preferred rates and saved $ 13,980 over the course of 15 years.
We will consider different
scenarios and
do spreadsheet
analysis to see how the different products perform under various
scenarios.
Find out the surrender value from your agent and then you can
do a simple
scenario analysis on an excel sheet.
«In the time since this paper was published, some people have treated the 35 - pass overwrite technique described in it more as a kind of voodoo incantation to banish evil spirits than the result of a technical
analysis of drive encoding techniques... In fact performing the full 35 - pass overwrite is pointless for any drive since it targets a blend of
scenarios involving all types of (normally - used) encoding technology, which covers everything back to 30 + - year - old MFM methods (if you don't understand that statement, re-read the paper).
In order to have a classic win - win
scenario, the registrant should
do a self -
analysis of what they say and
do in their presentations.