Sentences with phrase «risk factor models»

[jounal] Pagani, L. S. / 2004 / Risk Factor model for adolescent verbal and physical aggression toward mothers / International Journal of Nehavioral Development, 28 (6): 528 ~ 537

Not exact matches

Important factors that could cause actual results to differ from OnDeck's forward - looking statements are the risks that OnDeck may not be able to manage its anticipated or actual growth effectively, that its credit models do not adequately identify potential risks, and other risks, including those under the heading «Risk Factors» in OnDeck's Annual Report on Form 10 - K for the year ended December 31, 2016, its Quarterly Reports for the quarters ended June 30 and September 30, 2017 and in other documents that OnDeck files with the Securities and Exchange Commission, or SEC, from time to time which are available on the SEC website at www.sfactors that could cause actual results to differ from OnDeck's forward - looking statements are the risks that OnDeck may not be able to manage its anticipated or actual growth effectively, that its credit models do not adequately identify potential risks, and other risks, including those under the heading «Risk Factors» in OnDeck's Annual Report on Form 10 - K for the year ended December 31, 2016, its Quarterly Reports for the quarters ended June 30 and September 30, 2017 and in other documents that OnDeck files with the Securities and Exchange Commission, or SEC, from time to time which are available on the SEC website at www.sFactors» in OnDeck's Annual Report on Form 10 - K for the year ended December 31, 2016, its Quarterly Reports for the quarters ended June 30 and September 30, 2017 and in other documents that OnDeck files with the Securities and Exchange Commission, or SEC, from time to time which are available on the SEC website at www.sec.gov.

Mladina used a modified version of the Fama - French five - factor model to evaluate how well the returns and risks of publicly traded equity REITs and private real estate investments are explained by common stock and bond factors.

categories: Indexes, Americas, EMEAI, Factor and Risk Modeling, Investing (Investment Management), Portfolio Construction and Optimization, Asia Pacific, Asset Owners, Hedge Funds, Equities, Research Paper, CHIA Chin - Ping, Asset Managers (Quant or Fundamental), BARMAN Subhajit, HUNG Raphael, LIM Eugene, MUTHUKRISHNAN Anand

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.

Volatility is broken down by contribution of the risk factors of the BlackRock Aladdin 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 factRisk Model, released in 2016, which tracks portfolio risk by monitoring each stock's underlying economic exposure to 36 factrisk by monitoring each stock's underlying economic exposure to 36 factors.

Factor timing and factor risk management are related concepts, but have different objectives Factors have unique characteristics that require a tailored risk management approach A multi-dimensional factor risk management model shows consistent increases in risk - return ratios and decreases in mFactor timing and factor risk management are related concepts, but have different objectives Factors have unique characteristics that require a tailored risk management approach A multi-dimensional factor risk management model shows consistent increases in risk - return ratios and decreases in mfactor risk management are related concepts, but have different objectives Factors have unique characteristics that require a tailored risk management approach A multi-dimensional factor risk management model shows consistent increases in risk - return ratios and decreases in mfactor risk management model shows consistent increases in risk - return ratios and decreases in maximum

This is a much disciplined model and it allows money to be invested without as much risk because of the removal factors it has in place to such as projections of the future or emotion excesses.

After risk adjusting the results with the 3 - factor model we find no evidence of outperformance for any DIV portfolio.

Barra's new model employs premium input datasets including Point - In - Time fundamental data and provides insight into the sources of risk and return with Systematic Equity Strategy factors.

This allows us to mitigate risk and deploy that cash when stocks look attractive per our model, which focuses on factors like high returns on invested capital, sales per share growth and dividend per share growth.

They use a four - factor model (market, size, book - to - market and momentum) to estimate risk - adjusted performance (alpha).

All these factors must be scrutinized so that the heralded benefits of ICOs are balanced against market and legal risks as the model matures and gains broader acceptance,» the report states.LHoFT and Stellar addressed both the upsides and the downsides of ICO fundraising.

Construction methods include equal weighting, two versions of minimum volatility, three versions of mean - variance optimization, eight versions of reward - to - risk timing (six of which involve factor models) and a characteristic - based scheme that each year estimates stock weights based on market capitalization, book - to - market ratio, gross profitability, investment, short - term reversal and momentum.

In their October 2014 paper entitled «Factor Investing in the Corporate Bond Market», Patrick Houweling and Jeroen van Zundert develop and test a four - factor (size, low - risk, value and momentum) model of future corporate bond reFactor Investing in the Corporate Bond Market», Patrick Houweling and Jeroen van Zundert develop and test a four - factor (size, low - risk, value and momentum) model of future corporate bond refactor (size, low - risk, value and momentum) model of future corporate bond returns.

Associations between selected CVD risk factors and Coconut Fat (CF) intake were investigated by Dr. Goonerante using Chi - square test, and further examined in a multivariate model adjusting for potential confounding variables.

TERESA PITMAN: So the Triple Risk Model has been suggested by a bunch of researchers and what they think is that a baby dies of SIDS when three risk factors come togetRisk Model has been suggested by a bunch of researchers and what they think is that a baby dies of SIDS when three risk factors come togetrisk factors come together.

Although the observational studies that underlie our models all adjusted for multiple confounders, including known risk factors for the disease outcomes of interest, risk factors for early breastfeeding cessation such as preterm birth, preeclampsia, and obesity are also risk factors for metabolic disease in later life.

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.

In the final model, no variable was retained as an independently significant risk factor, and no variable modified the estimate of the effect of the medication group in a material way (> 10 %).

Early adverse experience as a developmental risk factor for later psychopathology: evidence from rodent and primate models.

Once the final additive model was built, interaction terms were tested, involving intended place of birth and: pregnancy risk factors, year, parity, maternal age and time of birth.

* 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).

Although there is some demand for choice a medical model of care prevails, emphasising physical risk factors [5].

SMMIS allowed us to control for nearly all of the known risk factors for PPH, many of which were also associated with intended place of birth and would therefore almost certainly have caused problems of confounding had they not been included as model covariates.

In a multivariate model adjusted for prenatal feeding intentions, independent risk factors for delayed OL were maternal age ≥ 30 y, body mass index in the overweight or obese range, birth weight > 3600 g, absence of nipple discomfort between 0 — 3 d postpartum, and infant failing to «breastfeed well» ≥ 2 times in the first 24 h. Postpartum edema was significant in an alternate model excluding body mass index (P < 0.05).

However, in a model adjusted for all 3 of these characteristics, only maternal age (≥ 30 y) remained a significant risk factor (P < 0.05).

Among newborn characteristics (dimension 4), higher birth weight and lower 1 - min Apgar score were associated with delayed OL; birth weight > 3600 g remained a significant risk factor in a model adjusted for maternal age and BMI.

Cox proportional hazard modeling included various known risk factors as covariables.

Page and his colleagues, who use animal models to understand how autism risk factors impact the developing brain and to identify potential treatments for the condition, have found that animals with mutations in the autism risk gene phosphatase and tensin homolog (Pten) mimic aspects of autism, including increased brain size, social deficits and increased repetitive behavior.

The authors developed race - specific models using preoperative risk factors to predict 30 - day surgical mortality for black children versus white children.

By coupling a machine learning model with a patient's pulse data, they are able to measure a key risk factor for cardiovascular diseases and arterial stiffness, using just a smart phone.

Researchers assess the risk of species extinction with conservation models that combine factors that drive down populations — including habitat loss, hunting and overfishing — with the probability of chance disasters affecting the group.

The fruit fly produces stones similar to those in humans and has proven to be an excellent model for exploring risk factors for stones in humans.

Although existing eating disorder risk models comprehensively address psychological factors, we know of very few biologically - based factors that help us predict who may be more likely to develop eating disorder behaviors,» said lead author Laura Berner, PhD, who completed the research while pursuing a doctoral degree at Drexel.

The new model concludes that improved active screening — making sure that all people are screened equally, regardless of risk factor — may allow elimination as a public health problem between 2023 and 2031.

She applauds the new work, noting that Ludwig and colleagues used apt statistical models to try to avoid confounding effects and excluded subjects with other risk factors such as gestational diabetes or extremely high birth weight.

The project aims to identify risk factors for patients and families with the goal of designing rehabilitation models to improve outcomes.

However, because high platelet reactivity is also associated with other patient risk factors and baseline characteristics, multivariable modeling was also performed; it showed no independent association between high platelet reactivity and mortality.

My goal is to use these mice as in vivo models to investigate AD - associated pathology and behavior deficits so that we can learn how BIN1 functions as a risk factor in AD.

A multivariable model was then used to determine independent risk factors for the performance of revision surgery.

Exactly how the genetic risk factors contribute to the disease is not readily apparent in most cases, and requires cellular and molecular biology investigations that use cultured cells and mouse models.

In a Cox proportional hazards model adjusting for age, examination years and all other predictive coronary disease risk factors, blood donors had a 88 % reduced risk (relative hazard = 0.12, 95 % confidence interval 0.02 - 0.86, p = 0.035) of acute myocardial infarction, compared with non-blood donors.

Inclusion of copeptin in risk models based on traditional risk factors was of additive value in predicting diabetes in women.

The development and validation of new risk scores with sex - specific weighting of risk factors could be a promising tool for future prediction models.

For consumption, we used the midpoint of the reported number of cigarettes per day — for example, three cigarettes per day if the category was one to five cigarettes per day — which we then adjusted for carboxyhaemoglobin and cotinine because this allows for lower inhalation with increasing cigarette consumption as previously established.14 For studies that reported relative risks adjusted for age (or for additional factors), the model contained the logarithm of the relative risk (dependent variable) and consumption (independent variable) using only the midpoint of the cigarettes per day categories.

«Importantly, this model clearly identified the majority low - risk population, lacking either risk factor, with a median PFS not reached after more than 5 years of follow - up,» the researchers noted.

Our objective was to develop an eco-epidemiological modeling approach to characterize the spatial relationships between areas of higher than expected ALS incidence and lake water quality risk factors derived from satellite remote sensing as a surrogate marker of exposure.

«It is believed that environmental and lifestyle factors, such as diet, play a critical role in increasing human breast cancer risk, and so we use animal models to reveal the biological mechanisms responsible for the increase in risk in women and their female progeny,» says Hilakivi - Clarke.