Not exact matches
Looking
at a simple asset allocation, a theoretical allocation to long - dated U.S. bonds (+20 years) fluctuates from as
low as 3 % to as high as 25 % based on changes to the
risk model,
i.e. correlation of different asset classes.
Once again, the official arbiters of taste and decorum have
lowered their standards sufficiently to allow an errant Texan to slip past the velvet ropes and sneak in to blast a crowd both innocent and unprepared with that special e.politics magic...
i.e., a couple of conferences are coming up, so I get to babble
at length and in public without the
risk of being gagged or (openly) shunned.
Marketable limit orders (
i.e., buy limit orders priced higher than the prevailing offer price or sell limit orders priced
lower than the prevailing bid price) will trade much like market orders, increasing the certainty of execution without the
risk of the order trading
at a price outside of an investor's acceptable range.
«The results indicate that given the same credit
risk (
i.e., for borrowers with the same expected delinquency rate), consumers would be able to obtain credit
at a
lower rate through the LendingClub than through traditional credit card loans offered by banks.»
My conclusion was that TFG trades
at a discount because of it's egregious fee structure a —
i.e. if you have the same underlying
risk on two bonds and someone «steals» 20 % of your coupon then that bond should naturally trade
at a discount... I chose to invest in CIFU as it consistently pays out 50 % of all free cash as dividend and reinvests the other 50 % in similar asset and its running
at much
lower cost base and REALLY is a pure play (
i.e. no Asset Management assets)-- adding to that ISA eligible and CIFU stands out from my perspective.
This is fine for estimates
at annual and decadal time scales, but as you approach the timespan covered by each core, you run a serious
risk of starting to remove part of the climatic variation, thereby under - estimating the total amount that occurred, with the loss being greatest
at the longest time scales (
i.e. lowest frequency variation).
In addition to the general constraints of conducting research in an applied setting, program evaluations pose special obstacles for researchers because of the clinical and ethical issues involved in withholding treatment or wait - listing participants who clearly might benefit from the program (
i.e.,
at -
risk students,
low - income families).
For example, studies have shown that authoritarian parenting (
i.e., high parental control,
low warmth), which may be detrimental in typically developing youth, 14,15 can be protective for children who are
at -
risk due to their environmental and / or behavioural profiles.16, 17 Similarly, although parentification was once conceived of as an inherently detrimental phenomenon, 18 children's provision of care to parents and kin may be associated with heightened self - esteem and achievement among some groups and depends strongly on the culture and value judgments of individuals within the family.19
Other
risk factors (
i.e., teen or single parenthood, very
low income, high initial levels of problem behavior) showed no predictive effects, implying intervention was
at least as successful
at helping the most disadvantaged families, compared to more advantaged.
Moreover, multinomial logistic regressions revealed a profile of children
at risk of developing high anxiety symptoms (
i.e., high group), characterized by sociofamily adversity, inattention, and
low prosociality in the classroom.