Information and Liquidity in the Market for Foreign Currency Denominated Sovereign Bonds

FEDS Notes ◽  
2020 ◽  
Vol 2020 (2821) ◽  
Author(s):  
David S. Miller ◽  
Keyword(s):  
Asymmetric Information ◽  
Linear Relationship ◽  
Foreign Currency ◽  
Information Model ◽  
Sovereign Bonds ◽  
Bond Yield ◽  
Non Linear ◽  
Bond Liquidity ◽  
Using Data

This note finds a negative, non-linear relationship between bond yield and liquidity using data on Portuguese, Irish, Italian, Greek, and Spanish (PIIGS) sovereign bonds from 2010-2015. This relationship is predicted by the asymmetric information model of bond liquidity by Holmstrom (2015) and Gorton (2017).

A Non-Linear Relationship between Controller Workload and Traffic Count

2005 ◽  
Vol 49 (12) ◽  
pp. 1129-1133 ◽  
Author(s):  
Paul U. Lee
Keyword(s):  
Linear Relationship ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Limiting Factor ◽  
Traffic Operations ◽  
Objective Metrics ◽  
Non Linear ◽  
Perceived Workload ◽  
Using Data

Controller workload has been a focal topic in air traffic management research because it is considered a key limiting factor to capacity increase in air traffic operations. Because workload ratings are subjective and highly prone to individual differences, some researchers have tried to replace workload with more objective metrics, such as aircraft count. A significant caveat in substituting these metrics for workload ratings, however, is that their relationships are non-linear. For example, as the number of aircraft increases linearly, the controller's perceived workload jumps from low to high at a certain traffic threshold, resulting in a stepfunction increase in workload with respect to aircraft count, suggesting that controllers perceive workload categorically. The non-linear relationship between workload and aircraft count has been validated using data collected from a recent study on the En Route Free Maneuvering concept element (Lee, Prevot, Mercer, Smith, & Palmer, 2005). The results suggest that objective metrics, such as aircraft count, may not be used interchangeably with subjective workload. In addition, any estimation on workload should not be extrapolated from a set of workload measures taken from an experiment since the extrapolated workload is likely to significantly underestimate workload.

scholarly journals Inequality in the Face of Death: The Income Gradient in Mortality of the Spanish Pre-Recession Working-Age Population

2021 ◽  
Vol 18 (23) ◽  
pp. 12379
Author(s):  
Pedro García-Castrillo ◽  
María A. González-Álvarez
Keyword(s):  
Linear Relationship ◽  
Low Income ◽  
Data Sets ◽  
Highly Educated ◽  
Non Linear ◽  
Working Age ◽  
The Face ◽  
Using Data ◽  
Rate Ratios ◽  
The Military

The purpose of this paper is to evaluate the association between socioeconomic status (SES) and mortality over a three-year period for working-age Spaniards (2007–2009), paying particular attention to the effect of income level. The analysis is relatively new in Spain, and the studies are limited. Neither income nor wealth are included in existing Spanish mortality studies. The main reason for this limitation is the nature of the data sets used, mainly Census Records. We overcome this problem by using data on 693,994 individuals taken from a Social Security sampling and used to estimate the probabilities of death for each income decile and the mortality rate ratios in three different models: (1) using only income, controlled by age and sex, (2) adding socio-economic and geographical variables, and (3) adding level of education. However, the data used here also have some limitations. They do not include government employees, the military or the Department of Justice personnel, whose exclusion we believe causes an under-representation of highly educated people in our sample. The results confirm that there is a non-linear relationship between mortality and income. This non-linear relationship implies that income redistribution resulting from progressive taxation systems could lead to higher reductions in mortality for low-income groups than the reductions induced in the mortality of the high-income population, thus reducing overall mortality.

System Information Model of Obtaining and Using Data of Remote Sensing the Earth

2008 ◽  
Vol 40 (11) ◽  
pp. 46-56
Author(s):  
Ludmila I. Samoilenko ◽  
Sergey A. Baulin ◽  
Tatyana V. Ilyenko ◽  
Margarita A. Kirnosova ◽  
Ludmila N. Kolos ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Model ◽  
The Earth ◽  
System Information ◽  
Using Data

Type/Token Ratios: what do they really tell us?

1987 ◽  
Vol 14 (2) ◽  
pp. 201-209 ◽  
Author(s):  
Brian Richards
Keyword(s):  
Language Development ◽  
Sample Size ◽  
Linear Relationship ◽  
Child Language ◽  
Lexical Diversity ◽  
Diversity Measure ◽  
Closed Class ◽  
Language Research ◽  
Non Linear

ABSTRACTType/Token Ratios have been extensively used in child language research as an index of lexical diversity. This paper shows that the measure has frequently failed to discriminate between children at widely different stages of language development, and that the ratio may in fact fall as children get older. It is suggested here that such effects are caused by a negative, though non-linear, relationship between sample size (i.e. number of tokens) and Type/Token Ratio. Effects of open and closed class items are considered and an alternative Verbal Diversity measure is examined. Standardization of the number of tokens before computing Type/Token Ratios is recommended.

scholarly journals Association between serum uric acid and triglycerides in Chinese children and adolescents with short stature

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Yuntian Chu ◽  
Qianqian Zhao ◽  
Mei Zhang ◽  
Bo Ban ◽  
Hongbing Tao
Keyword(s):  
Uric Acid ◽  
Standard Deviation ◽  
Children And Adolescents ◽  
Linear Relationship ◽  
Short Stature ◽  
Serum Uric Acid ◽  
Standard Deviation Score ◽  
Short Children ◽  
Non Linear ◽  
Males And Females

Abstract Background Elevated triglyceride (TG) levels are a biomarker for cardiovascular disease (CVD) risk. The correlation between serum uric acid (SUA) and TG concentrations in adults or obese children is well established. However, studies on SUA and TG in children with short stature are limited. Aim To determine the relationship between SUA and TG levels in short children and adolescents. Method This was a cross-sectional evaluation of a cohort of 1095 patients with short stature (720 males and 375 females). The related clinical characteristics, including anthropometric and biochemical parameters, were determined. Results Smooth curve fitting, adjusted for potential confounders was performed, which indicated the existence of a non-linear relationship between these measures. Piecewise multivariate linear analysis revealed a significant positive relationship between SUA and TG at SUA concentrations over 7 mg/dL (β = 0.13, 95% CI: 0.05–0.22, P = 0.002) but no significant correlation at lower SUA levels (β = 0.01, 95% CI: 0.01–0.04, P = 0.799). Furthermore, a stratified analysis was performed to appraise changes in this relationship for different sexes and standard deviation levels of body mass index (BMI). The non-linear relationship remained consistent in males and females with BMI standard deviation scores (BMI SDS) ≥ 0, with inflection points of 6.71 mg/dL and 3.93 mg/dL, respectively. Within these two groups, SUA and TG levels showed a positive association when SUA levels were higher than the inflection point (β = 0.21, 95% CI: 0.11–0.31, P < 0.001 for males and β = 0.1, 95% CI: 0.03–0.17, P = 0.005 for females). However, a specific relationship was not observed at lower SUA levels. No significant relationships were found between SUA and TG levels in males and females with BMI SDS < 0. Conclusion The present study identified the non-linear association of SUA and TG levels with short children and adolescents. This relationship was based on BMI status. This finding suggests that health status should be considered for short stature children with high SUA levels, especially in children with a high BMI standard deviation score.

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