Results 61 to 70 of about 681,470 (291)
Mitochondria‐targeted nanotherapies emerge as a promising strategy for combating aging‐associated neurodegenerative disorders (NDs) by restoring mitochondrial function, reducing oxidative stress, and improving neuronal survival. Recent advances in nanotechnology, therapeutic delivery, and translational research are highlighted, providing insights into ...
Dnyandev G. Gadhave +8 more
wiley +1 more source
The study examines how the 2007 to 2008 Global Financial Crisis (GFC) and the recent COVID-19 pandemic have affected the risk-return profile of the Indonesian financial sector index (IDXFinance). Using weekly return data from 2005 to 2022 and the GARCH-M
Mohamad Ikhsan Modjo +2 more
doaj +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Modeling Volatility: Evidence from Tehran Stock Exchange [PDF]
The research problem investigated in this paper is modeling volatility and analyzing risk and return’s relationship in Tehran Stock Exchange using GARCH-family models including GARCH(1,1), GARCH(2,2), EGARCH(1,1), PGARCH(1,1), TGARCH(1,1), GARCH(1,1)-M ...
Shapour Mohammadi +3 more
doaj
Volatility Clustering in High-Frequency Data: A self-fulfilling prophecy? [PDF]
Clustering volatility is shown to appear in a simple market model with noise trading simply because agents use volatility forecasting models. At the core of the argument lies a feed-back mechanism linking past observed volatility to present observed ...
Matei Demetrescu
core
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Rational Interacting Agents and Volatility Clustering: A New Approach [PDF]
Here, we show that agents who are ex ante rational, if allowed to interact locally, may generate clustering of volatility. Hence, there is no need to reject the notion of rationality in agent based models.Volatility Clustering; Rationality; Local ...
Siddiqi, Hammad
core
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
INVESTIGATING THE INTERDEPENDENCE OF STOCK EXCHANGES USING MULTIVARIATE STOCHASTIC VOLATILITY MODELS
This study investigates the interdependence of major global stock exchanges by examining volatility clustering, uncertainty, spillover dynamics, and time-varying return correlations using multivariate stochastic volatility (MSV) models.
Gönül Yüce Akıncı, Merter Akıncı
doaj +1 more source
A nonlinear structural model for volatility clustering [PDF]
A simple nonlinear structural model of endogenous belief heterogeneity is proposed. News about fundamentals is an IID random process, but nevertheless volatility clustering occurs as an endogenous phenomenon caused by the interaction between different ...
Gaunersdorfer, A., Hommes, C.H.
core

