Results 61 to 70 of about 3,142 (200)
Cluster Analysis on PEAD Using SUE Model with Quarterly Data
iBusiness, 2013 The paper constructs SUE model with Quarterly Report Data of the A-share listed companies for the first time, to analyze Post-Earnings-Announcement Drift (PEAD) with a higher data frequency. A further cluster analysis is made to examine PEAD phenomenon under different market caps and report periods.
Huaiyu Sun, Mi Zhu, Feng He
openaire +1 more source
Time‐Series Factor Modeling and Selection
Journal of Financial Research, Volume 48, Issue 2, Page 839-875, Summer 2025.Abstract The article proposes a statistical time‐series factor model that incorporates deterministic orthogonal trend polynomials. Such polynomials allow capturing variation in returns without initially identifying a set of robust time‐series factors.
Michael Michaelides
wiley +1 more source
Revista UniVap, 2016 Na maioria das vezes os polímeros puros não apresentam as propriedades para atendimento das especificações técnicas, as quais a aplicação final requer.
Márcio Alves de Lima +5 more
doaj +1 more source
Alzheimer's &Dementia, Volume 21, Issue 5, May 2025.Abstract INTRODUCTION Retinal and choroidal vascular changes have been proposed as a non‐invasive central nervous system (CNS) proxy for clinical trials in Alzheimer's disease (AD). However, their role in Down syndrome (DS), the largest genetically predisposed group for AD, remains unclear.
Jamie Mitchell +10 more
wiley +1 more source
Pediatric Brain Tumors in Western Kenya: Patient Outcomes and Healthcare Providers’ Perspectives
Pediatric Blood &Cancer, Volume 72, Issue 4, April 2025.ABSTRACT Background Pediatric brain tumors are understudied compared to other pediatric malignancies in low‐ and middle‐income countries. Care delivery is inherently dependent on collaboration between multiple departments. This study aimed to present baseline data of pediatric neuro‐oncology care in Western Kenya and illustrate barriers and ...
Jesse Lemmen +7 more
wiley +1 more source
Beyond the last surprise: Reviving PEAD with machine learning and historical earnings
Finance Research LettersHow much information about future returns is hidden in a stock’s earnings surprises history? To answer this, we use elastic net models that extract information from multiple quarters of standardized unexpected earnings (SUE). We find that accounting for earnings patterns from the distant past substantially improves return forecasts: Sharpe ratios ...
Tomasz Kaczmarek, Adam Zaremba
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European Journal of Soil Science, Volume 76, Issue 2, March–April 2025.SoilManageR calculates numerical indicators for soil management intensities from soil management information. The management indicators can be used to compare soil management across contexts, space, and time. ABSTRACT Understanding the effects of agricultural soil management on the soil system and its functions is crucial to ensure the sustainable use ...
Olivier Heller +7 more
wiley +1 more source
, 2017 This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete.
Australian Red Cross Society, National Office
core
Is the Pead Anomaly Due To Market Underreaction or Risk Factors: A Global Perspective
, 2013 The prevalent hypothesis for the existence of Post-earnings announcement drift (PEAD) is that investors underreact to the information in earnings. In this paper, we use cross-country data to explore whether PEAD is due to market underreaction or missing ...
Lin, Zhilu
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Pediatric Anesthesia, Volume 35, Issue 2, Page 155-162, February 2025.ABSTRACT Background Emergence delirium is a well‐known and common problem in children recovering from anesthesia. The five‐item Pediatric Anesthesia Emergence Delirium scale is one of the most commonly used instruments for assessing this condition, but the scale has been questioned regarding its latent structure, i.e., whether its items cover just one ...
Jenny Ringblom +4 more
wiley +1 more source