Results 121 to 130 of about 45,474 (275)
The Calendar Effects and Anomalies on Ukrainian Stock Market: Theory and Empirical Evidence [PDF]
The theoretical aspects of calendar effects and anomalies on the Ukrainian stock market and the empirical evidence of daily, monthly and quarterly returns of PFTS-index and their volatility are examined.
Petrushchak, Bohdan
core +1 more source
Kernel‐Based Estimation of Stratospheric Aerosol Radiative Effects From Volcanic and Wildfire Events
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 4, 28 February 2026.Abstract To facilitate the quantification of the stratospheric aerosol direct radiative effect (ARE), this study develops a suite of aerosol kernels based on Modern‐Era Retrospective Analysis for Research and Applications, Version 2 reanalysis data. The kernels comprise a five‐dimensional data set that includes latitude, longitude, time, wavelength ...
Qiurun Yu, Yi Huang
wiley +1 more source
Sources of Subseasonal Predictability for Precipitation in South America Based on Model Experiments
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 4, 28 February 2026.Abstract This study investigates the sources of predictability underlying subseasonal precipitation skill over South America in existing subseasonal prediction systems. Using subseasonal re‐forecasts from the NCAR‐CESM2 model, we demonstrate that significant skill persists even when interannual variability is removed.
Kathy Pegion +2 more
wiley +1 more source
Calendar anomalies: Case of Karachi Stock Exchange
AFRICAN JOURNAL OF BUSINESS MANAGEMENT, 2012 Calendar anomalies can be defined as any irregularity or consistent pattern that cannot be defined by means of any accepted theory of finance. This study has been conducted to find out holiday effect and half month effect in Karachi Stock Exchange (KSE).
openaire +1 more source
Achieving Explainable ENSO Prediction Using Small Data Training
Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.Abstract Despite substantial progress over the past four decades, accurately predicting the spatiotemporal structure of the El Niño–Southern Oscillation (ENSO) remains a persistent challenge for dynamical models. While deep learning models have demonstrated improved prediction skills, their performances are constrained by biases in climate models used ...
Jie Feng +7 more
wiley +1 more source
The Disappearing Calendar Anomalies in the Singapore Stock Market
Lahore Journal of EconomicsThis paper investigates the calendar anomalies in the Singapore stock market over the recent period from 1993-2005. Specifically, changes in stock index returns are examined surrounding January (the January effect), on different days of the week (the ...
Wing-Keung Wong +2 more
doaj
Deep Learning Atmospheric Models Reliably Simulate Out‐of‐Sample Land Heat and Cold Wave Frequencies
Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.Abstract Deep learning (DL)–based general circulation models (GCMs) are emerging as fast simulators, yet their ability to replicate extreme events outside their training range remains unknown. Here, we evaluate two such models—the hybrid Neural General Circulation Model (NGCM) and purely data‐driven Deep Learning Earth System Model (DLESyM)—against a ...
Zilu Meng +3 more
wiley +1 more source
An empirical test of calendar effects in Vietnam stock market
Journal of International Economics and Management, 2016 This paper examines five popular calendar effects using closing prices of VN – Index over the period 2000 – 2014. Results of OLS regression show that while there is little evidence confirming the existence of some seasonal anomalies like weekend, January
Phuong Lan Le, Duy Tan Do
doaj
Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.Abstract Compound heatwave and drought events (CHDEs) in South China (SC) have intensified in early autumn, yet their driving factor remains unclear. Based on reanalysis data and numerical experiments, this study investigates the potential influence of the summer northeastern Arctic Sea ice concentration (NEASIC) on the interannual variation of ...
Jiani Zeng +4 more
wiley +1 more source
Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.Abstract North China frequently experiences devastating extreme precipitation events (EPEs). Upstream spatiotemporal propagation characteristics of EPEs can provide useful precursors for forecasting North China EPEs but remains poorly understood. Using climate network analysis, two dominant EPEs propagation pathways, that is, a northwestern pathway ...
Jilan Jiang +4 more
wiley +1 more source