Sentences with phrase «using factor data»

Using factor data from Dimensional Fund Advisors (DFA), for the 10 years from 2007 through 2017, the value premium (the annual average difference in returns between value stocks and growth stocks) was -2.3 %.
Using factor data from Dimensional Fund Advisors (DFA), for the 10 years from 2007 through 2017, the value premium (the annual average difference in returns between value stocks and growth stocks) was -2.3 %.

Not exact matches

Because of a confluence of factors, marketers will begin using privacy protection and data security as a value proposition across industries.
Though there are, of course, still sensible steps to take to protect important financial data, like setting up fraud alerts, using more secure passwords or a password manager, and enabling two - factor authentication where available.
Urban planners find themselves doing a ton of research: analyzing data on factors affecting land use, speaking with authorities and stakeholders, and evaluating proposals.
These risks and uncertainties include, among others: the unfavorable outcome of litigation, including so - called «Paragraph IV» litigation and other patent litigation, related to any of our products or products using our proprietary technologies, which may lead to competition from generic drug manufacturers; data from clinical trials may be interpreted by the FDA in different ways than we interpret it; the FDA may not agree with our regulatory approval strategies or components of our filings for our products, including our clinical trial designs, conduct and methodologies and, for ALKS 5461, evidence of efficacy and adequacy of bridging to buprenorphine; clinical development activities may not be completed on time or at all; the results of our clinical development activities may not be positive, or predictive of real - world results or of results in subsequent clinical trials; regulatory submissions may not occur or be submitted in a timely manner; the company and its licensees may not be able to continue to successfully commercialize their products; there may be a reduction in payment rate or reimbursement for the company's products or an increase in the company's financial obligations to governmental payers; the FDA or regulatory authorities outside the U.S. may make adverse decisions regarding the company's products; the company's products may prove difficult to manufacture, be precluded from commercialization by the proprietary rights of third parties, or have unintended side effects, adverse reactions or incidents of misuse; and those risks and uncertainties described under the heading «Risk Factors» in the company's most recent Annual Report on Form 10 - K and in subsequent filings made by the company with the U.S. Securities and Exchange Commission («SEC»), which are available on the SEC's website at www.sec.gov.
Teams are heavily analytics - driven and use more than a dozen hard data points reflecting a player's strength, speed, baseball talent and other factors.
Use the data you collect as input, but factor in your gut perceptions and perspective for the final decision.
Using open data from 7,236 cities, researchers looked at factors like affordability, access to jobs, frequency of service, quality, and number of stops.
Hover over counties and states to see data points for each region, or use the map's tabs to view the top counties for each of the factors driving our analysis.
That speed and endurance isn't as important in your personal computer, but as SSDs are gaining use inside data centers because of their speed, both factors open up new use cases for the 3D Xpoint memory.
It produces this estimate for emissions from all upstream transportation and distribution primarily using data collected from its third - party logistics coordinators and EPA emission factors; only 7 % of emissions are from «primary data
Use data you may have from last year's sales to see where most of your sales came from and when (in - store, late hours, etc.), and then focus your holiday marketing adjustments on those factors.
Passive managers use our index data, equity factor models and optimizer to construct their index funds and ETFs.
Experian uses a variety of factors to determine your score, including credit history, public and legal filings and industry data.
The school data used for the ranking by the FT measures such several factors that have little, if anything, to do with the actual quality of the education received by graduates.
Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, operating in a highly competitive industry; changes in the retail landscape or the loss of key retail customers; the Company's ability to maintain, extend and expand its reputation and brand image; the impacts of the Company's international operations; the Company's ability to leverage its brand value; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share, or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's ability to realize the anticipated benefits from its cost savings initiatives; changes in relationships with significant customers and suppliers; the execution of the Company's international expansion strategy; tax law changes or interpretations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the United States and in various other nations in which we operate; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives we use; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's ability to protect intellectual property rights; impacts of natural events in the locations in which we or the Company's customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's ownership structure; the impact of future sales of its common stock in the public markets; the Company's ability to continue to pay a regular dividend; changes in laws and regulations; restatements of the Company's consolidated financial statements; and other factors.
Investors should use this data as a starting point and combine it with some factors noted below for a more holistic approach to weeding out fund losers from the winners.
Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, increased competition; the Company's ability to maintain, extend and expand its reputation and brand image; the Company's ability to differentiate its products from other brands; the consolidation of retail customers; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's inability to realize the anticipated benefits from the Company's cost savings initiatives; changes in relationships with significant customers and suppliers; execution of the Company's international expansion strategy; changes in laws and regulations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; failure to successfully integrate the business and operations of the Company in the expected time frame; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the nations in which the Company operates; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives that the Company uses; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's inability to protect intellectual property rights; impacts of natural events in the locations in which the Company or its customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; tax law changes or interpretations; and other factors.
Using quarterly hedge fund SEC Form 13F filings and short interest data for a broad sample of U.S. stocks (excluding small and low - priced stocks), along with data required to compute stock return predictors and risk factors for these stocks, during 1990 through 2012, they find that: Keep Reading
Using data for a broad sample of U.S. common stocks and model factors (excluding extreme outliers) during July 1963 through December 2015, they find that: Keep Reading
Using daily data for S&P 500 Index levels, options and futures, and contemporaneous stock and option pricing model factors, as available during January 1996 through August 2015, they find that: Keep Reading
Using data for 955 non-financial German firms for which sufficient data is available during the period 1960 - 2006 for the factor portfolios and 1993 - 2006 for the sentiment measure, these studies find that: Keep Reading
Also how much you need to use mobile data will be something that you should factor in.
This reflects an annual update in the seasonal factors used by the Labor Department (which is why the revisions weren't matched by similar changes in the non-seasonally adjusted data).
First, the team has built a fully secured CoinPlace wallet where the data is protected using two - factor authentication.
NEC collected or estimated megawatt hour («MWh») generation data for each portfolio project and used region - specific eGRID emissions factors maintained by the U.S. Environmental Protection Agency to determine the greenhouse gas («GHG») intensity of each MWh offset by its investments.
Using monthly data for gold price and these potentially explanatory factors as available during 1970 through 2013, he finds that: Keep Reading
The index then incorporates other factors and uses algorithms to arrive at a data point.
To come closer to an interpretation of the data we should note another factor in this tradition: faith is used both in connection with the forgiveness of sins (Luke 7.50) and with healing (Mark 5.34 etc.); indeed, the two are linked as being one and the same thing in the context of faith (Mark 2.5 ff.).
While you work to establish a warm atmosphere and make delicious food, big - data technologies use real, raw data to analyze patterns and understand which factors really result in profit.
My experience with the Newcastle football team in Oklahoma leads me to believe that, as long as impact sensors are strictly used for the limited purpose of providing real - time impact data to qualified sideline personnel, not to diagnose concussions, not as the sole determining factor in making remove - from - play decisions, and not to replace the necessity for observers on the sports sideline trained in recognizing the signs of concussion and in conducting a sideline screening for concussion using one or more sideline assessment tests for concussion (e.g. SCAT3, balance, King - Devick, Maddocks questions, SAC)(preferably by a certified athletic trainer and / or team physician), and long as data on the number, force, and direction of impacts is only made available for use by coaches and athletic trainers in a position to use such information to adjust an athlete's blocking or tackling tec hnique (and not for indiscriminate use by those, such as parents, who are not in a position to make intelligent use of the data), they represent a valuable addition to a program's concussion toolbox and as a tool to minimize repetitive head impacts.
... Ms Thurgood's use of the internet to research home birth was «sadly an example of the danger of untrained users utilising raw data or statistical information to support a premise as to risk, without knowledge and understanding of the complex myriad of factors relevant to the risk».
The purpose of our study was to determine whether breastfeeding rates in the UK were higher among mothers delivering in Baby Friendly accredited maternity units, using data from the Millennium Cohort Study.18 Specifically we assessed breastfeeding initiation and the prevalence of any breastfeeding at 1 month after adjustment for maternal factors known to influence a mother's decision to breastfeed.
Assessing these risk factors using administrative and observational data collection techniques can be costly, and, although less costly, parent reports may not be as reliable.
To examine whether improved room ventilation by use of a fan or an open window affects the risk of SIDS, we analyzed data from a population - based case - control study of risk factors for SIDS that included detailed information on sleep environment.
Because we could not adjust for confounders, we compared the prevalence of several risk factors between women at low risk in primary care and women at high risk in secondary care, using data from the national perinatal registry.
We used contingency tables and chi - square analysis to examine unadjusted associations between independent variables and the risk of delayed OL and organized the data into 6 dimensions: 1) maternal prenatal characteristics, 2) maternal anthropometric characteristics, 3) labor and delivery experience, 4) newborn characteristics, 5) maternal postpartum factors, and 6) infant feeding and related variables (Table 1).
The data used in the project covered the period 2000 - 2008 and considered such factors as premature death, low birth weights, and self - reported information regarding health - related quality of life and poor physical and mental health days.
Rickman's proposed method uses parallel coordinates, which is a method of visualizing data that makes it possible to spot outliers or patterns based on related metric factors.
The authors re-evaluated the data used to calculate IPCC 2006 CH4 emission factors resulting from enteric fermentation in dairy cows and other cattle, and manure management from dairy cows, other cattle and swine.
The researchers used these data to see how factors like income, race and ethnicity, sex and location affected rates of diabetes diagnosis and foregone medical care due to cost.
The study «Telomere length is longer in women with late maternal age,» used data from LLFS to show that certain factors associated with the rate of aging and longevity, such as telomere length, are also associated with later maternal age at the birth of the last child.
This is a highly limiting factor for research, because it complicates the annotation of data obtained by molecular techniques, and because it has been shown that gut microbiomes are to some extent specific to their host, and researchers have been using strains of other origin in mouse models.
The researchers used data collected between 2008 and 2010 from the Behavioral Risk Factor Surveillance System, the world's largest ongoing health survey, from 12 states representing four distinct regions: the Northeast (Connecticut, Massachusetts, Pennsylvania, Rhode Island); the Midwest (Kansas, Minnesota, Nebraska); the West (Wyoming); and the South (Delaware, Oklahoma, Texas, West Virginia).
Bisakha Sen, Ph.D., associate professor of health care policy at UAB, used health behavior data for whites and blacks from Alabama and Mississippi taken from the national Behavioral Risk Factor Surveillance System and took a method used in economics to analyze gender wage disparities.
«Using Multicountry Ecological and Observational Studies to Determine Dietary Risk Factors for Alzheimer's Disease,» a review article from the Journal of the American College of Nutrition presents the data.
Using a United Kingdom database, they surveyed general practitioners about BSA affected by psoriasis and looked at data on 8,124 adults with psoriasis and 76,599 adults without psoriasis over the course of four years, and they adjusted the samples to account for any differences in age, sex, and body mass index and other diabetes risk factors.
The data set Weiss used was unusual in that it monitored these myriad factors over the 35 - year period, allowing the researchers to conclude the increase in CO2 they saw in the reservoirs was indeed due to increased carbon dioxide in the atmosphere.
The widget builds on work published 2 June in Current Biology (http://bit.ly/TAZQA8) in which the study's three authors — all early - career computational biologists — used PubMed data to study the influence of some 200 factors on academic scientists» career trajectories.
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