Sentences with phrase «risk model analysis»

Portfolio risk is addressed through diversification, position weighting and risk model analysis.

Not exact matches

The new software targets data - intensive applications requiring high - speed access to massive volumes of information generated by countless devices, sensors, business processes, and social networks; examples include seismic data processing, risk management and financial analysis, weather modeling, and scientific research.
According to a lengthy analysis at Gamasutra, it was the allure of that lower - risk licensing model, rather than particularly poor performance, that did in Infinity and Disney's (dis) games division.
This Toronto - based program develops superior risk managers and business leaders, with exciting opportunities in quantitative analysis and modelling and variable annuity hedging.
Customize your risk analysis using tailor - made factor models, risk budgeting, multi-factor regression and user - defined stress tests to create a comprehensive, easy - to - interpret report that breaks down your portfolio's risk and return components.
In October 2014, ICE purchased SuperDerivatives, a market data and analytics provider specializing in derivatives pricing models across all asset classes, risk analysis and cloud - based market technology, as well as a chat platform that is similar to competitors such as Bloomberg.
- retirement savings and income - Pre-59 1/2 72t Calculations (avoiding penalty tax)- college savings and 529 plan illustrations - college cost and tuition data - Coverdell education savings - risk profile questionnaires and quizes - model portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculatrisk profile questionnaires and quizes - model portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculamodel portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculaModel Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculatRisk Tolerance Profile - Roth 401k - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculations
- retirement savings and income - Pre-59 1/2 72t Calculations (avoiding penalty tax)- college savings and 529 plan illustrations - college cost and tuition data - Coverdell education savings - risk profile questionnaires and quizes - model portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculatrisk profile questionnaires and quizes - model portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculamodel portfolio illustrations - asset allocation and portfolio optimization - portfolio management and value tracking - 401 (k) retirement savings - Cost of waiting to save - Effect of Taxes and Inflation - Estate Tax Estimator - Finding Money for your savings goals - Health Savings Account (HSA) illustrations - Historical Hypothetical Portfolio Performance - Impact of Inflation - Life Insurance Needs Analysis - IRA Eligibility (all types of IRAs)- IRA Savings and Goal Analysis - IRA Required Minimum Distributions (RMDs)- IRA to Roth Conversion - Long Term Care Insurance - Lumpsum Distributions vs. Rollover Distributions - Model Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculaModel Portfolio Creation and Comparisons - Mortgage Amortization - Net Unrealized Appreciation of Employer Stock - Net Worth Estimator - New Value Calculator - Pension / Defined Benefit Income estimates - Portfolio Allocation Rebalancing - Portfolio Optimization and «Advice» - Portfolio Return Calculations - Paycheck Tax Savings - Required Minimum Distribution calculations - Retirement Budget and Expense Planning - Retirement Income Analyzer - Retirement Savings Estimator - Risk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculatRisk Tolerance Profile - Roth Conversion - Roth v. IRA illustrations - Short Term Savings goals - Social Security benefit estimates - Stretch IRA / Legacy IRA illustrations - Tax Free Yield calculations
It is possible to use statistical analysis and risk modeling to test for inefficiencies in any marketplace.
It IS possible, however, to use statistical analysis and risk modeling to test for profitable opportunities in any marketplace.
To assess the robustness of the results of our regression analysis, we performed covariate adjustment with derived propensity scores to calculate the absolute risk difference (details are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org).14, 15 To calculate the adjusted absolute risk difference, we used predictive margins and G - computation (i.e., regression - model — based outcome prediction in both exposure settings: planned in - hospital and planned out - of - hospital birth).16, 17 Finally, we conducted post hoc analyses to assess associations between planned out - of - hospital birth and outcomes (cesarean delivery and a composite of perinatal morbidity and mortality), which were stratified according to parity, maternal age, maternal education, and risk level.
Meta - analyses of this expanded research base confirm the model's impacts on a range of risk and protective factors associated with child maltreatment.7, 8,9 In addition, all of the major home visitation models in the U.S. are currently engaged in a variety of research activities, many of which are resulting in better defined models and more rigorous attention to the key issue of participant enrolment and retention, staff training and quality assurance standards.10 For example, recent findings emerging from the initial two - year follow - up of the Early Head Start National Demonstration Project confirm the efficacy of home visitation programs with new parents.
Assumed differences between caseload or team models of care versus other models of care could not explain the heterogeneity for these outcomes, and neither could potential differences between low - risk and mixed - risk groups of pregnant women (See analyses for regional analgesia Analysis 2.1 and Analysis 3.1 and for preterm birth Analysis 2.6 and Analysis 3.6).
* Pregnancy risk status was included in the multivariable analysis via the inclusion of a number of individual risk factors as model covariates (see «Definitions» section and Table 3).
The inclusion of «high - risk» pregnancies in the analysis necessitated a significantly more complex model to control for the fact that the «intended hospital birth» group contained a higher proportion of «high - risk» pregnancies.
We conducted the planned subgroup analyses to investigate the effects of greater continuity in caseload models, variations in maternal risk status and of less medicalised environments provided by community settings.
A controversial decision in 2011 to blow up Mississippi River levees reduced the risk of flooding in a city upstream, lowering the height of the rain - swollen river just before it reached its peak, according to a newly published computer modeling analysis led by UC Irvine scientists.
Despite that risk, current climate models do not include the risk of emissions from thawing permafrost, the UNEP analysis warned.
The results of their model and risk analysis, which appear in the Journal of Sustainable Water in the Built Environment, provide a snapshot of green infrastructure performance for this particular green roof.
That sort of modeling and analysis provides more incentive to take the risk of implementing a new method.»
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.
The team also hopes that in future analyses, they can link hydrological models with their analyses to study changes in flood risk more directly.
The climate models aren't really good enough in their representation of present - day circulation to give you much confidence in the specifics of their predictions [so that you could use them to do a cost - benefit analysis for example], but the risk of widespread change is still there.
Researchers use risk analysis and modeled climate change to assess fire risk in The Golden State's future
Risk analysis and decision support tools; Mapping and valuation of ecosystem services; Invasive species risk assessment; Ecological and economic indicators GIS - based modeling and spatial statistical analRisk analysis and decision support tools; Mapping and valuation of ecosystem services; Invasive species risk assessment; Ecological and economic indicators GIS - based modeling and spatial statistical analrisk assessment; Ecological and economic indicators GIS - based modeling and spatial statistical analysis
We focus on squamous tissues, the skin epidermis and the lining of the oesophagus, using transgenic models, novel sequencing approaches, live imaging and single cell analysis to uncover key steps in cancer development, with aim of developing rational interventions to decrease cancer risk.
Hirofumi Michimae, Ayumi Tezuka, Takeshi Emura & Osamu Kishida — 2014 (7)([email protected]) Keywords: competing risk, Cox proportional hazards model, metamorphosis, survival analysis
Next, to determine whether risk of non-affective psychotic disorder in refugees relative to migrants differed by region of origin, we fitted a Cox regression model to a subset of the cohort, excluding the Swedish - born group who did not contribute information to these analyses.
linking probabilistic simple climate models, complex Earth system models, and econometric analyses of historical weathering and climate impacts to project future risks associated with climate change and improve estimates of the social cost of carbon.
Combining the Climate Impact Lab sectoral models with probabilistic climate projections allows for quantitative risk analysis in the covered sectors.
Data analysis was performed using Cox proportional hazard models adjusted for age, sex, calendar year, comorbidity, medical treatment, and severity of disease, and propensity - based risk - stratified models and case - crossover models.
If we equate de facto ketogenic diets with high - protein diets (which is not always correct) then the risks proposed by critics of this type of dietary approach are essentially those of possible kidney damage due to high levels of nitrogen excretion during protein metabolism, which can cause an increase in glomerular pressure and hyperfiltration.12 There is not wide agreement between studies; however, some infer the possibility of renal damage from animal studies, 99, 100 whereas others, looking at both animal models, meta - analyses and human studies, propose that even high levels of protein in the diet do not damage renal function.101, 102 In subjects with intact renal function, higher dietary protein levels caused some functional and morphological adaptations without negative effects.103 There may actually be renal - related effects, but on blood pressure rather than morphological damage.
A modelling analysis predicted that dark chocolate consumption in populations at high risk of cardiovascular disease could potentially avert cardiovascular events over the long term owing to its antihypertensive and metabolic effects
The booklet includes location and maps, long profile rivers features, the Bradshaw Model, links to secondary sources, sampling types, risk assessment, primary data collection tables, blank fieldwork data collection sheets (including - width, depth, velocity, sediment shape and size wetted perimeter), data presentation pages, Spearman's Rank Analysis, discussion about the results, conclusion and evaluation.
To estimate side airbag effectiveness in on - the - road crashes, Institute researchers used data from the federal Fatality Analysis Reporting System and General Estimates System to compute the relative risk of dying for drivers of 1997 - 2002 car models with and without side airbags when their vehicles were struck on the left (driver) side.
Chuck Kahane, a former NHTSA researcher, examined 1990 to 2014 crash data from the Fatality Analysis Reporting System (FARS) for model year 1990 - 2015 vehicles to estimate the effectiveness of safety belts and the relative risk of various seating positions.
The enterprise details are fed into pricing and risk analysis data warehouse models.
Ken Faulkenberry presents Asset Allocation Management and Risk Management Analysis in 2011 posted at Arbor Asset Allocation Model Portfolio (AAAMP) Blog.
In today's low - rate environment, the risk - free rate is in the 0.03 % to 2.8 % range, depending on which Treasury instrument with a maturity from one month to 30 years is used (while many models use three - month T - bills, others may use T - notes or T - bonds depending on the duration of the analysis period).
The GSS team assess the modeling and analysis of the regional teams based on an independent view of growth - and risk - drivers.
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.
Portfolio managers will be able to walk sponsors through a dashboard of assets, liabilities, funded status and potential risk measures, as well as model interest rate and portfolio sensitivities and provide what - if scenario analysis of portfolio changes.
To develop a credit score model or system, credit grantors or insurance companies select a random sample of clients and perform a statistical analysis to identify risk - related characteristics.
I could create my own models of bonds if needed, and I often did for interest rate risk analyses (which was still a responsibility amid bond management).
Capital allocation and risk analyses, including developing dynamic discounted cash flow / real options models for investment decisions, risk analyses and project financing
The adviser's decision to buy or sell a Fund holding will be made based on adviser developed trend and risk models that evaluate current market conditions and this analysis will guide the adviser's determination of the appropriate exposure level to real estate related securities.
Academic risk models typically used by financial planners typically don't do path - dependent analyses.
The cash flow model's risk analysis capabilities evaluate how well your future assets would cover normal and extraordinary expenses, if market or personal circumstances were to disrupt your plans.
Proprietary analysis and risk - modeling tools blend the art and science of manager research with asset allocation.
Given that impacts don't scale linearly — that's true both because of the statistics of normal distributions, which imply that (damaging) extremes become much more frequent with small shifts in the mean, and because significant breakpoints such as melting points for sea ice, wet - bulb temperatures too high for human survival, and heat tolerance for the most significant human food crops are all «in play» — the model forecasts using reasonable emissions inputs ought to be more than enough for anyone using sensible risk analysis to know that we making very bad choices right now.
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