Value at Risk long memory volatility models with heavy-tailed distributions for cryptocurrencies. [PDF]
Subramoney SD, Chinhamu K, Chifurira R.
europepmc +1 more source
Econometrics at the Extreme: From Quantile Regression to QFAVAR1
ABSTRACT This paper surveys quantile modelling from its theoretical origins to current advances. We organize the literature and present core econometric formulations and estimation methods for: (i) cross‐sectional quantile regression; (ii) quantile time series models and their time series properties; (iii) quantile vector autoregressions for ...
Stéphane Goutte +4 more
wiley +1 more source
Dynamic forecasting and mechanisms of volatility synchronization in complex financial systems. [PDF]
Li JC, Guo J, Ma R, Zhong G.
europepmc +1 more source
Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?
ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro +3 more
wiley +1 more source
AI-Carbon-Energy: Spillover effects and drivers in interconnected markets. [PDF]
Zhang M, Pan Y, Su B, Zhou D.
europepmc +1 more source
A Comprehensive Revisit to the Safe‐Haven Assets Literature
ABSTRACT A large number of studies examine the safe‐haven characteristics of different asset classes. However, this paper addresses a lack of systematic literature reviews and bibliometric analyses with a sound theoretical viewpoint the safe‐haven assets literature by focusing on 1305 studies published in top‐tier journals during 2013–2026 from the ...
Javed Bin Kamal +3 more
wiley +1 more source
Application of seasonal-adjusted hybrid models for forecasting Discomfort Index in a heat-prone region of Bangladesh. [PDF]
Binte Ahmed A +5 more
europepmc +1 more source
ABSTRACT Despite their transformative potential, Industrial Internet of Things (IIoT) platforms often fail to evolve into scalable ecosystems. Research on IIoT platforms attributes failure to discrete factors such as governance misalignment or technological complexity and rarely considers how failure unfolds.
Philipp Kernstock +3 more
wiley +1 more source
Investigating the impact of investor attention on AI-based stocks: A comprehensive analysis using quantile regression, GARCH, and ARIMA models. [PDF]
Ravichandran S, Afjal M.
europepmc +1 more source
Summary The interplay of daily life factors, including mood, physical activity, or light exposure, influences sleep architecture and quality. Laboratory‐based studies often isolate these determinants to establish causality, thereby sacrificing ecological validity.
Anna M. Biller +8 more
wiley +1 more source

