Modelling Volatility Cycles: The MF2‐GARCH Model
ABSTRACT We propose a novel multiplicative factor multi‐frequency GARCH (MF2‐GARCH) model, which exploits the empirical fact that the daily standardized forecast errors of one‐component GARCH models are predictable by a moving average of past standardized forecast errors.
Christian Conrad, Robert F. Engle
wiley +1 more source
Predicting influenza-like illness trends based on sentinel surveillance data in China from 2011 to 2019: A modelling and comparative study1. [PDF]
Zhang X+10 more
europepmc +1 more source
GaBoDS: The Garching-Bonn Deep Survey -- I. Anatomy of galaxy clusters in the background of NGC 300 [PDF]
M. Schirmer+6 more
openalex
The efficiency of the estimators of the parameters in GARCH processes
I. Berkés, Lajos Horváth
openalex +1 more source
Toward Informative Representations of Blood‐Based Infrared Spectra via Unsupervised Deep Learning
This study employs an unsupervised deep learning approach using a denoising autoencoder to distill blood‐based FTIR spectra into latent variables. By reducing noise and preserving essential information, the method enhanced lung cancer detection accuracy by 2.6%, providing a concise, clinically relevant representation of infrared spectra for improved ...
Corinna Wegner+8 more
wiley +1 more source
High-frequency enhanced VaR: A robust univariate realized volatility model for diverse portfolios and market conditions. [PDF]
Kuang W.
europepmc +1 more source
GaBoDS: The Garching-Bonn Deep Survey. II. Confirmation of EIS cluster candidates by weak gravitational lensing [PDF]
M. Schirmer+4 more
openalex
Switching asymmetric GARCH and options on a volatility index
Hazem Daouk, Jie Guo
openalex +2 more sources
Exchange Rate Volatility and ESG Performance: An International Empirical Analysis
ABSTRACT This study examines the impact of exchange rate volatility (ERV) on environmental, social, and governance (ESG) performance using a large dataset of 15,196 firms from various countries, covering the period from 2012 to 2019. By employing a comprehensive set of statistical tests, including the system generalized method of moments (GMM ...
Hamzeh Al Amosh
wiley +1 more source
Comparative analysis of volatility forecasting for healthcare stock indices amid public health crises: a study based on the Bayes-CNN model. [PDF]
Li Y, Gu R, Zhao D.
europepmc +1 more source