Closed‐Form Optimal Investment Under Generalized GARCH Models
European Financial Management, EarlyView.ABSTRACT This paper introduces a new class of stochastic volatility models for asset prices, the generalized Heston Nandi GARCH (GHN‐GARCH), with the primary objective of optimal dynamic asset allocation under expected utility theory for constant relative risk aversion investors. We study some of its theoretical properties, and demonstrate that the GHN‐
Marcos Escobar‐Anel +2 more
wiley +1 more source
A Predictive and Adaptive Virtual Exposure Framework for Spider Fear: A Multimodal VR-Based Behavioral Intervention. [PDF]
Healthcare (Basel)Mohamed HG +6 more
europepmc +1 more source
Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function
International Statistical Review, EarlyView.Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler +3 more
wiley +1 more source
Testing for the footprints of stabilization economic policy in forecast errors. [PDF]
PLoS OneCharemza W +4 more
europepmc +1 more source
Journal of Economic Surveys, EarlyView.ABSTRACT There is an increased proportion of studies using quantile‐based regression methodology (QR) in economics. They offer a robust alternative to classical mean regressions, which can estimate non‐normal variables with distributional heterogeneity in the dependent variable.
Shajara Ul‐Durar +4 more
wiley +1 more source
Flexible Target Prediction for Quantitative Trading in the American Stock Market: A Hybrid Framework Integrating Ensemble Models, Fusion Models and Transfer Learning. [PDF]
Entropy (Basel)Yan K +6 more
europepmc +1 more source
Econometrics at the Extreme: From Quantile Regression to QFAVAR1
Journal of Economic Surveys, EarlyView.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
Forecasting with a Bivariate Hysteretic Time Series Model Incorporating Asymmetric Volatility and Dynamic Correlations. [PDF]
Entropy (Basel)Than HT.
europepmc +1 more source
Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?
Journal of Economic Surveys, EarlyView.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