Results 171 to 180 of about 25,441 (248)
ABSTRACT Introduction Adolescent self‐disclosure is essential for relationship building, receiving support and mental well‐being. However, little is known about whom adolescents confide in and what factors facilitate or hinder this process. Method In this mixed methods multi‐informant study, twelve Dutch adolescents (Mage = 18.3, 66.6% girls) and their
Marie‐Louise J. Kullberg +3 more
wiley +1 more source
From Reactive to Proactive Volatility Modeling With Hemisphere Neural Networks
ABSTRACT We revisit maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ingredients making MLE work in this context.
Philippe Goulet Coulombe +2 more
wiley +1 more source
What Explains International Interest Rate Co‐Movement?
ABSTRACT The international co‐movement of interest rates reflects correlated business‐cycle fluctuations, largely driven by demand shocks. Monetary policy in advanced economies follows domestic mandates—inflation and the output gap—and does not respond to foreign policy shocks.
Annika Camehl, Gregor von Schweinitz
wiley +1 more source
Volatility Modeling: An Overview of Equity Markets in the Euro Area During COVID-19 Pandemic
Duttilo P, Gattone SA, Battista T.
europepmc +1 more source
Forecasting Related Time Series
ABSTRACT A collection of time series are “related” if they follow similar stochastic processes and/or they are statistically dependent. This paper proposes a related time series (RTS) forecasting model that exploits these relationships. The model's foundation is a set of univariate Gaussian autoregressions, one for each series, which are then augmented
Ulrich K. Müller, Mark W. Watson
wiley +1 more source
Monetary Policy Shocks and Exchange Rate Dynamics in Small Open Economies
ABSTRACT This paper investigates whether the effects of monetary policy shocks on real exchange rates have changed over time and, if so, whether these changes stem from shifts in transmission mechanisms or from variation in the volatility of the shocks themselves.
Madison Terrell +3 more
wiley +1 more source
The ability to predict climate fluctuations at seasonal timescales offers significant socio‐economic benefits. However, limited understanding of predictability mechanisms and model errors hinders forecast quality. Recent research has improved forecasting systems and data quality.
Gualdi Silvio +12 more
wiley +1 more source
This review explores climate predictions as actionable decision‐making tools, focusing on the Mediterranean. It examines transforming forecasts into user‐defined information through bias adjustment, downscaling and impact models. Highlighting collaborative EU initiatives, it addresses challenges like limited forecasting skill and data accessibility ...
Silvio Gualdi +12 more
wiley +1 more source
This study evaluates the COSMO‐CLM regional climate model over Italy under CMIP6 scenarios. Compared to its driving global model, COSMO‐CLM reduces temperature biases by 50%–75% and better represents precipitation and extremes, adding critical mesoscale detail.
Alejandro Vichot‐Llano +5 more
wiley +1 more source
Projected Evolution of Climatic Aridity in Spain: Robust Signals and Model Uncertainties
This study examines the projected evolution of climatic aridity in Spain throughout the 21st century, using the UNEP Aridity Index and CMIP6 simulations under different emission scenarios and global warming levels. Despite model biases, results show a general increase in aridity across the country, particularly in southern regions and the Canary ...
Víctor Trullenque‐Blanco +5 more
wiley +1 more source

