Results 91 to 100 of about 9,236 (250)
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Forecasting House Prices: The Role of Market Interconnectedness
ABSTRACT While the existing research uncovers interconnections between various housing markets, it largely ignores the question of whether such linkages can improve house price predictions. To address this issue, we proceed in two steps. First, we forecast disaggregated house price growth rates from Australia and China to determine whether ...
Zac Chen +3 more
wiley +1 more source
Constitutional Legal Regulation of Religion in European Countries
The article analyzes the current problems of the constitutional and legal regulation of religion in European countries.
S. V. Shevchenko, A. E. Yuritsyn
doaj
Translating strategies of oath expressions in the Holy Qur’an into English by senior students
This study explores the strategies employed by senior translation and English students in Yemeni universities in translating oath expressions in the Holy Qur'an.
Mohammed Almahfali +1 more
doaj +1 more source
Point and Risk estImation Using an enSemble of Models for Nowcasting: PRISM‐Now
ABSTRACT We propose PRISM‐Now, a novel ensemble forecasting system for near‐term GDP projection. Recognizing that relevant economic information evolves over time, we treat forecasts from multiple base models as draws from a mixture distribution of “good” and “bad” estimates, whose composition changes continuously and cannot be identified ex ante.
Beomseok Seo, Hyungbae Cho, Dongjae Lee
wiley +1 more source
Nowcasting World Trade With Machine Learning: A Three‐Step Approach
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn +2 more
wiley +1 more source
Usability of a gamified antibiotic resistance awareness mobile application: A qualitative evaluation
The purpose of this study is to reveal the findings from the usability evaluation of an antibiotic resistance awareness app (SEDAR) app and present the necessary critical revisions made to improve the usability further. This study adopted guerrilla testing, observation, and retrospective probing methods to evaluate the usability of the SEDAR app ...
Ummul Hanan Mohamad +2 more
wiley +1 more source
The Impact of Democratization and Globalization on Environmental Sustainability in Brazil
Fossil fuel, economic globalisation, and economic growth drive environmental degradation while democratisation positively influences environmental quality. ABSTRACT Although Brazil still possesses significant ecological reserves, the surplus in its biocapacity has been rapidly declining in recent years.
Mustafa Naimoğlu +3 more
wiley +1 more source
Financial Literacy, Financial Development and Economic Growth
ABSTRACT While significant progress has been made in exploring the importance of financial literacy, its impact on economic growth and financial development from a macroeconomic point of view remains thinly understood. This paper provides fresh evidence on the relationship between financial literacy, financial development and economic growth.
Spyridon Boikos +2 more
wiley +1 more source

