Results 181 to 190 of about 15,464 (254)

Colonial and gendered peace: Decolonial perspectives on peace in Nagorno‐Karabakh

open access: yesFeminist Anthropology, EarlyView.
Abstract This article critically interrogates peace processes in the aftermath of the First Nagorno‐Karabakh War by centering the lived experiences and political voices of Armenian and Azerbaijani internally displaced and refugee women, based on ethnographic fieldwork and in‐depth interviews conducted in 2019.
Ramil Zamanov
wiley   +1 more source

The experience of volunteer nurses providing health and social support to refugees during the war in Ukraine: a phenomenological study. [PDF]

open access: yesInt J Nurs Stud Adv
Caggianelli G   +8 more
europepmc   +1 more source

Identifying Drivers of Deviations From Rational Expectations: Using a New Irrational Index for Inflation Forecasts

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Most studies on inflation forecasts have studied behavioral biases, informational frictions, or external shocks in isolation, without considering how these factors jointly drive deviations from rational expectations. We therefore adopt an integrated framework that simultaneously estimates the behavioral, informational, and external ...
Belen Chocobar, Peter Claeys
wiley   +1 more source

Exploring the Nexus Between Sustainability Index and Central European Stock Markets Competitiveness: Evidence Through Time–Frequency Analysis and SHAP

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Sustainability has become an important factor shaping financial markets and investor behavior. This paper examines the relationship between sustainability indices and Central European stock markets using a time–frequency approach. Wavelet coherence is employed to capture time‐varying co‐movements between sustainability indices and stock market
Zuzana Janková   +4 more
wiley   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos   +4 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly   +2 more
wiley   +1 more source

Intervention for Psychological Trauma in Children Impacted by War in Ukraine.

open access: yesJAMA Netw Open
Redlener I   +4 more
europepmc   +1 more source

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