Sentences with phrase «global risk model»

The product is derived from Morningstar's Global Risk Model, released in 2016, which tracks portfolio risk by monitoring each stock's underlying economic exposure to 36 factors.

Not exact matches

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Several Thai politicians who attended the Boao Forum for Asia, a kind of China - centered version of the World Economic Forum in Davos, noted that, in recent years, some of the discussions at Boao had shifted from a kind of general talk of globalization and its impact in Asia to more specific conversations about some of the failings of Western economic models exposed by the global economic crisis, and whether China's type of development might be less prone to such risks.
In addition, RxAdvance offers a global pharmacy risk partnership model standing shoulder - to - shoulder with plan sponsors.
The models show that climate change is a less influential driver of global food security than income, population and productivity — but it could still pose a significant risk to the nutrition levels of people living in the world's poorest regions, Baldos said.
«We hope that global gene databases will continue to grow, allowing scientist to share and reuse these types of data, and we will update our model as more ASD risk genes are discovered.»
Modelling flood risk in Europe — global warming the biggest influence In the framework of the HELIX FP7 Project, scientists analysed the differences in projected changes in flood risk at country scale under global warming scenarios of 1.5, 2 and 3 degrees from pre-industrial levels, and discussed reasons for the observed outcomes.
The challenge is modeled on, and being coordinated with, the Grand Challenges program of the Bill & Melinda Gates Foundation, which supports high - risk, high - payoff approaches to solving global health and development problems.
The authors of this new research paper analysed data and models from the USEPA's updated global non-CO2 GHG mitigation assessment to investigate the potential for GHG reductions from agricultural emissions from seven regions globally, offsetting costs against social benefit of GHG mitigation (e.g. human health, flood risk and energy costs).
But the U.K. Met Office (national weather service), the U.S.'s National Center for Atmospheric Research and other partners around the globe aim to change that in the future by developing regular assessments — much like present evaluations of global average temperatures along with building from the U.K. flooding risk modeling efforts — to determine how much a given season's extreme weather could be attributed to human influence.
To get a sense for how this probability, or risk of such a storm, will change in the future, he performed the same analysis, this time embedding the hurricane model within six global climate models, and running each model from the years 2081 to 2100, under a future scenario in which the world's climate changes as a result of unmitigated growth of greenhouse gas emissions.
To analyze these seemingly competing outcomes, the researchers turned to an often - used fire risk index and a global climate model called the Community Earth System Model (CEmodel called the Community Earth System Model (CEModel (CESM1).
«By generating in situ data with the help of citizen scientists, we envision the app serving supplementary data to scientists as they model mosquito population outbreaks,» says Rusty Low of the Institute for Global Environmental Strategies, «And equally important is the ability of the app to act as an enabling tool for citizen scientists who want to reduce disease risk in their communities.»
As a recent McKinsey Global Innovation survey found, while 84 % of executives believe innovation is important to growth strategy, and 80 % believe their business models are at risk, only 6 % are satisfied with the outcome of their innovation performance.
Simple climate models (SCMs) can probabilistically project global temperature change and capture tail risk, but lack adequate spatio - temporal resolution.
The view on risk will be informed by the GSSs» financial modeling, analysis and insight from Schroder's ESG team, and meetings with company management, usually attended collectively by the relevant regional equity analysts, Global Sector Specialist and ESG Specialist.
By using the robust Landry model for ranking global assets, HMA's investors can reduce the concentration risk from being overly invested in domestic markets,» adds Mr. Atkinson.
Prodigy Finance analyzes lender risk through a unique global credit model that evaluates potential borrowers based on their projected earnings, not their creditworthiness.
«We believe that the traditional asset allocation model of long - only stocks and bonds does not adequately position investors» portfolios for the risks and opportunities in today's global markets,» said Jerry Szilagyi, CEO of Rational Funds.
The company's flagship product offerings are: the MSCI indices which include over 148,000 daily indices covering more than 70 countries; Barra portfolio risk and performance analytics covering global equity and fixed income markets; RiskMetrics market and credit risk analytics; ISS governance research and outsourced proxy voting and reporting services; FEA valuation models and risk management software for the energy and commodities markets; and CFRA forensic accounting risk research, legal / regulatory risk assessment, and due - diligence.
Such researchers then proceed to rely on Global / Regional / Local Circulation Models in order to make projections of modern SLR even when these same models have not been able to reproduce numerous examples of abrupt SLR found in the paleo - record, thus clearly indicating that current models are not capable of identifying the modern risk of abrupModels in order to make projections of modern SLR even when these same models have not been able to reproduce numerous examples of abrupt SLR found in the paleo - record, thus clearly indicating that current models are not capable of identifying the modern risk of abrupmodels have not been able to reproduce numerous examples of abrupt SLR found in the paleo - record, thus clearly indicating that current models are not capable of identifying the modern risk of abrupmodels are not capable of identifying the modern risk of abrupt SLR.
Because I advocated for a careful risk analysis of the probabilities associated with global warming models and projections he immediately casts me as someone who has no interest in conservation or alternative energy sources.
A recurring theme in the InsideClimate News reporting on what Exxon knew is that its scientists understood early on what their computer models were saying about the risks of global warming.
Climate models suggest that global flood risk will change as the world warms.
Air pressure changes, allergies increase, Alps melting, anxiety, aggressive polar bears, algal blooms, Asthma, avalanches, billions of deaths, blackbirds stop singing, blizzards, blue mussels return, boredom, budget increases, building season extension, bushfires, business opportunities, business risks, butterflies move north, cannibalistic polar bears, cardiac arrest, Cholera, civil unrest, cloud increase, cloud stripping, methane emissions from plants, cold spells (Australia), computer models, conferences, coral bleaching, coral reefs grow, coral reefs shrink, cold spells, crumbling roads, buildings and sewage systems, damages equivalent to $ 200 billion, Dengue hemorrhagic fever, dermatitis, desert advance, desert life threatened, desert retreat, destruction of the environment, diarrhoea, disappearance of coastal cities, disaster for wine industry (US), Dolomites collapse, drought, drowning people, drowning polar bears, ducks and geese decline, dust bowl in the corn belt, early spring, earlier pollen season, earthquakes, Earth light dimming, Earth slowing down, Earth spinning out of control, Earth wobbling, El Nià ± o intensification, erosion, emerging infections, encephalitis,, Everest shrinking, evolution accelerating, expansion of university climate groups, extinctions (ladybirds, pandas, pikas, polar bears, gorillas, whales, frogs, toads, turtles, orang - utan, elephants, tigers, plants, salmon, trout, wild flowers, woodlice, penguins, a million species, half of all animal and plant species), experts muzzled, extreme changes to California, famine, farmers go under, figurehead sacked, fish catches drop, fish catches rise, fish stocks decline, five million illnesses, floods, Florida economic decline, food poisoning, footpath erosion, forest decline, forest expansion, frosts, fungi invasion, Garden of Eden wilts, glacial retreat, glacial growth, global cooling, glowing clouds, Gore omnipresence, Great Lakes drop, greening of the North, Gulf Stream failure, Hantavirus pulmonary syndrome, harvest increase, harvest shrinkage, hay fever epidemic, heat waves, hibernation ends too soon, hibernation ends too late, human fertility reduced, human health improvement, hurricanes, hydropower problems, hyperthermia deaths, ice sheet growth, ice sheet shrinkage, inclement weather, Inuit displacement, insurance premium rises, invasion of midges, islands sinking, itchier poison ivy, jellyfish explosion, Kew Gardens taxed, krill decline, landslides, landslides of ice at 140 mph, lawsuits increase, lawyers» income increased (surprise surprise!)
By analyzing data from 17 state - of - the - art global climate models, Cook, Ault and Smerdon learned that western North America's future drought risk exceeded even the driest centuries of the Medieval Climate Anomaly.
In response to shareholder questions, Tillerson reiterated his views that climate change represents another risk among many that the company manages; that the ramifications of global warming are unclear because «the [scientific] models simply are not that good»; and that technology advances will provide «engineered solutions» to address whatever problems emerge.
The global environment and economic security are indelibly intertwined, with increasing greenhouse gases, environmental degradation and natural - resource depletion putting sustainable growth and existing business models at risk.
By the late 21st century, climate models project that sea level will rise up to a foot higher than the global average along the northeast US coastline, resulting in a dramatic increase in regional coastal flood risk.
After these threats are identified for each resource, then the relative risk from natural - and human - caused climate change (estimated from the global climate model projections, but also the historical, paleo - record and worst case sequences of events) can be compared with other risks in order to adopt the optimal mitigation / adaptation strategy.
Output from global circulation models indicates that climate variability will continue to be an important characteristic of the region in the future [52], but that climate change may increase the risk of extreme climatic events such as multi-decade droughts and extreme winter precipitation [53], [54].
This is a more robust way of assessing risks, including from climate, than using the approach adopted by the Intergovernmental Panel on Climate Change (IPCC) which is primarily based on downscaling from multi-decadal global climate model projections.
Between its Second and Third Assessment Reports, the Intergovernmental Panel on Climate Change elaborated long - term greenhouse gas emissions scenarios, in part to drive global ocean - atmosphere general circulation models, and ultimately to assess the urgency of action to prevent the risk of climatic change.
Furthermore, if ONE Global Climate Model was verified — if it produced useful predictions (that's in advance and all...: — RRB --RRB- I'd be impressed and more likely to consider it a useful tools in unravelling our climate, assessing risk benefits, and in making policy decisions.
A formal modeling analysis has identified the fingerprint of global warming in California's wildfires, reporting that, «an increase in fire risk in California is attributable to human - induced climate change.»
Fraction of Attributable Risk (FAR) models are increasingly used nowadays to «fingerprint» regional and global climate variability and even extreme weather events.
The criticism mainly focused on the conceptual use of untested methods of CDR to keep global warming below 2C above pre-industrial levels in model simulations, the potential risks of deploying CDR technologies at scale, and the role of science in climate policy negotiations.
Fildes — «The scientific community of global climate modellers has surely taken unnecessary risks in raising the stakes so high when depending on forecasts and models that have many weaknesses».
Recent multi model estimates based on different CMIP3 climate scenarios and different dynamic global vegetation models predict a moderate risk of tropical forest reduction in South America and even lower risk for African and Asian tropical forests (see also Section 12.5.5.6)(Gumpenberger et al., 2010; Huntingford et al., 2013).»
UNISDR also disseminates analysis and climate risk information through biennial Global Assessment Reports, including risk modelling based on disaster loss data to develop probabilistic estimations of future risk in vulnerable countries.
This competition is a quest to find new models of global cooperation capable of handling global risks.
Socio (s): UNDP, UNECE, UNEP, UNESCO, UNHABITAT, UNICEF, WFP, WMO, European Commission, Government of the United States of America, Arab Center for the Studies of Arid Zones and Dry Lands, Australian Government, AXIS, Beijing Normal University, CIMNE, Fondazione CIMA, Earth Literacy Program, Florida International University, Facultad Latinoamericana de Ciencias Sociales, Global Facility for Disaster Reduction and Recovery, GNS Science, Global Volcano Model, International Association of Volcanology and Chemistry of the Earth's Interior, International Institute for Applied Systems Analysis, Indian Institute for Human Settlements, INGENIAR, Integrated Research on Disaster Risk, International Recovery Platform, Kokusai Kogyo, Ltd., Lee Kuan Yew School of Public Policy, NGI, Organisation for Economic Co-operation and Development, Save the Children, Stockholm Environment Institute, National Autonomous University of Mexico, University of Huddersfield, University of Ghana, Victoria University of Wellington, WAPM, FEWS
Although the most advanced theoretical climate models still leave uncertainty, particularly about the sign and magnitudes of the effects, on GHG feedbacks, of some low - and high - clouds, a consensus began to develop that threats of resulting increases in global temperature — and the very large risks associated with their possible consequences — deserved substantial increase in attention.
As a global company that built its business on providing information to professionals working in law, tax, finance, risk and compliance, and healthcare, Wolters Kluwer is adept at incorporating digital technology into its operating model.
We must implement new business models, including greater use of the right cloud services and more community efforts like the Global Cyber Alliance that aggregate capability to more effectively mitigate risk.
Based in London, the program invites global startups from across different areas within insurance, including retail insurance, corporate risk management, re-insurance, back - office efficiency and new risk models, to... Read More
Implemented risk models, validate policy and procedures for domestic and global markets, and recommended the appropriate changes and risk ratings to improved operations and minimized risk exposure.
Conduct in - depth compliance and credit risk analysis for Global Commercial Administration Unit that included the review of financial data, business model, Moody's Financial Metrics, industry risk assessments and, economic trends in credit operations performed by small business worldwide.
RMS models and software help evaluate and manage catastrophe risks throughout the world, promoting resilient societies and a sustainable global economy.
In bivariate and multivariate logistic regression models, 8 social risk factors were tested as independent predictors of 4 parent - reported child health outcomes: global health status, dental health, socioemotional health, and overweight.
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