Composite leading indicator

2021 ◽  
Vol 2021 (9) ◽  
Keyword(s):  
Leading Indicator

Gross Margin: A Leading Indicator of Losers in Industry IPO Waves

2012 ◽  
Author(s):  
Zhi Da ◽  
Ravi Jagannathan ◽  
Jianfeng Shen
Keyword(s):  
Gross Margin ◽  
Leading Indicator

scholarly journals Nowcasting Regional GDP: The Case of the Free State of Saxony

2015 ◽  
Vol 66 (1) ◽  
pp. 71-98
Author(s):  
Steffen R. Henzel ◽  
Robert Lehmann ◽  
Klaus Wohlrabe
Keyword(s):  
Data Structure ◽  
Manufacturing Sector ◽  
Regional Level ◽  
Free State ◽  
Large Set ◽  
Regional Survey ◽  
Forecasting Accuracy ◽  
Leading Indicator ◽  
Information Sets ◽  
Survey Results

Abstract We tackle the nowcasting problem at the regional level, using a large set of indicators (regional, national and international) for the years 1998 to 2013. We explicitly take into account the ragged-edge data structure and consider the different information sets faced by a regional forecaster within each quarter. It appears that regional survey results in particular improve forecasting accuracy. Among the 10% best performing models for the short forecasting horizon, one fourth contain regional indicators. Hard indicators from the German manufacturing sector and the Composite Leading Indicator for Europe also deliver useful information for the prediction of regional GDP in Saxony. Unlike national GDP forecasts, the performance of regional GDP is similar across different information sets within a quarter.

scholarly journals Applying the Social Vulnerability Index as a Leading Indicator to Protect Fire-Based Emergency Medical Service Responders’ Health

2021 ◽  
Vol 18 (15) ◽  
pp. 8049
Author(s):  
Emily J. Haas ◽  
Alexa Furek ◽  
Megan Casey ◽  
Katherine N. Yoon ◽  
Susan M. Moore
Keyword(s):  
Emergency Response ◽  
Social Vulnerability ◽  
Vulnerability Index ◽  
Fire Service ◽  
Household Composition ◽  
Fire Departments ◽  
Social Vulnerability Index ◽  
Response Planning ◽  
Leading Indicator ◽  
Increased Risk

During emergencies, areas with higher social vulnerability experience an increased risk for negative health outcomes. However, research has not extrapolated this concept to understand how the workers who respond to these areas may be affected. Researchers from the National Institute for Occupational Safety and Health (NIOSH) merged approximately 160,000 emergency response calls received from three fire departments during the COVID-19 pandemic with the CDC’s publicly available Social Vulnerability Index (SVI) to examine the utility of SVI as a leading indicator of occupational health and safety risks. Multiple regressions, binomial logit models, and relative weights analyses were used to answer the research questions. Researchers found that higher social vulnerability on household composition, minority/language, and housing/transportation increase the risk of first responders’ exposure to SARS-CoV-2. Higher socioeconomic, household, and minority vulnerability were significantly associated with response calls that required emergency treatment and transport in comparison to fire-related or other calls that are also managed by fire departments. These results have implications for more strategic emergency response planning during the COVID-19 pandemic, as well as improving Total Worker Health® and future of work initiatives at the worker and workplace levels within the fire service industry.

scholarly journals Bivariate Latent-Change-Score Analysis of Peer Relations From Early Childhood to Adolescence: Leading or Lagging Indicators of Psychopathology

2021 ◽  
pp. 216770262096593
Author(s):  
Brent I. Rappaport ◽  
Joshua J. Jackson ◽  
Diana J. Whalen ◽  
David Pagliaccio ◽  
Joan L. Luby ◽  
...  
Keyword(s):  
Early Childhood ◽  
Peer Victimization ◽  
Peer Relations ◽  
Clinical Symptoms ◽  
Social Withdrawal ◽  
Externalizing Symptoms ◽  
Change Score ◽  
Leading Indicator ◽  
Score Analysis ◽  
Latent Change Score

Understanding longitudinal associations between problematic peer relations and psychopathology is needed to inform public health. Three models have been proposed: Poor peer relations (a) lead or are a risk factor for psychopathology, (b) lag or are a consequence of psychopathology, or (c) both lead and lag psychopathology. Another model is that poor peer relations lead or lag psychopathology depending on the developmental period. To test these models, youths’ peer relations and clinical symptoms were assessed up to six times between ages 3 and 11 in 306 children. Bivariate latent-change-score models tested leading and lagging longitudinal relationships between children’s peer relations (peer victimization/rejection, peer-directed aggression, social withdrawal, prosocial behavior) and psychopathology (depression, anxiety, and externalizing symptoms). Peer victimization/rejection was a leading indicator of depression from early childhood into preadolescence. Peer-directed aggression was a leading indicator of externalizing symptoms (in late childhood).

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