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Institution

University of New South Wales

EducationSydney, New South Wales, Australia
About: University of New South Wales is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 51197 authors who have published 153634 publications receiving 4880608 citations. The organization is also known as: UNSW & UNSW Australia.


Papers
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TL;DR: This article proposed a theory of securities market under- and overreactions based on two well-known psychological biases: investor overconfidence about the precision of private information; and biased self-attribution, which causes asymmetric shifts in investors' confidence as a function of their investment outcomes.
Abstract: We propose a theory of securities market under- and overreactions based on two well-known psychological biases: investor overconfidence about the precision of private information; and biased self-attribution, which causes asymmetric shifts in investors' confidence as a function of their investment outcomes. We show that overconfidence implies negative long-lag autocorrelations, excess volatility, and, when managerial actions are correlated with stock mispricing, public-event-based return predictability. Biased self-attribution adds positive short-lag autocorrelations ("momentum"), short-run earnings "drift," but negative correlation between future returns and long-term past stock market and accounting performance. The theory also offers several untested implications and implications for corporate financial policy.

620 citations

Journal ArticleDOI
TL;DR: The evidence is summarized that waist circumference and BMI together can provide improved assessments of cardiometabolic risk compared with either measurement alone, and it is recommended that health professionals are trained to properly perform this simple measurement in clinical practice.
Abstract: Despite decades of unequivocal evidence that waist circumference provides both independent and additive information to BMI for predicting morbidity and risk of death, this measurement is not routinely obtained in clinical practice. This Consensus Statement proposes that measurements of waist circumference afford practitioners with an important opportunity to improve the management and health of patients. We argue that BMI alone is not sufficient to properly assess or manage the cardiometabolic risk associated with increased adiposity in adults and provide a thorough review of the evidence that will empower health practitioners and professional societies to routinely include waist circumference in the evaluation and management of patients with overweight or obesity. We recommend that decreases in waist circumference are a critically important treatment target for reducing adverse health risks for both men and women. Moreover, we describe evidence that clinically relevant reductions in waist circumference can be achieved by routine, moderate-intensity exercise and/or dietary interventions. We identify gaps in the knowledge, including the refinement of waist circumference threshold values for a given BMI category, to optimize obesity risk stratification across age, sex and ethnicity. We recommend that health professionals are trained to properly perform this simple measurement and consider it as an important 'vital sign' in clinical practice.

619 citations

Journal ArticleDOI
TL;DR: An online repository of published organic fluorescence spectra has been developed, which can be searched for quantitative matches with any set of unknown spectra as mentioned in this paper, which fills a critical gap by increasing access to measured and modelled (PARAFAC) spectra, and linking across studies and systems to reveal "global" fluorescence trends.
Abstract: An online repository of published organic fluorescence spectra has been developed, which can be searched for quantitative matches with any set of unknown spectra. It fills a critical gap by increasing access to measured and modelled (PARAFAC) spectra, and linking across studies and systems to reveal "global" fluorescence trends.

618 citations

Journal ArticleDOI
TL;DR: A stronger than previously reported association with school connectedness and adolescent depressive symptoms in particular and a predictive link from schoolconnectedness to future mental health problems are suggested.
Abstract: There is limited prospective research on the relation between school connectedness (i.e., the extent to which students feel accepted, valued, respected, and included in the school) and mental health symptoms in adolescents. A sample of 2,022 students (999 boys and 1,023 girls) ages 12 to 14 years were measured at 2 time points (12 months apart) on school connectedness and mental health symptoms (general functioning, depression, and anxiety symptoms). School connectedness correlated extensively with concurrent mental health symptoms at both time points (between 38% and 55% covariation with depression, 26% to 46% with general functioning, and 9% and 16% for anxiety symptoms). Using hierarchical linear modeling, school connectedness also predicted depressive symptoms 1 year later for both boys and girls, anxiety symptoms for girls, and general functioning for boys, even after controlling for prior symptoms. The reverse, however, was not true: Prior mental health symptoms did not predict school connectedness 1 year later when controlling for prior school connectedness. Results suggest a stronger than previously reported association with school connectedness and adolescent depressive symptoms in particular and a predictive link from school connectedness to future mental health problems.

618 citations


Authors

Showing all 51897 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Nicholas G. Martin1921770161952
John C. Morris1831441168413
Richard S. Ellis169882136011
Ian J. Deary1661795114161
Nicholas J. Talley158157190197
Wolfgang Wagner1562342123391
Bruce D. Walker15577986020
Xiang Zhang1541733117576
Ian Smail15189583777
Rui Zhang1512625107917
Marvin Johnson1491827119520
John R. Hodges14981282709
Amartya Sen149689141907
J. Fraser Stoddart147123996083
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023389
20221,183
202111,342
202011,235
20199,891
20189,145