Results 131 to 140 of about 15,174 (247)
Resonance‐induced restoration of rock permeability degraded by heavy components of crude oil
Resonance‐induced changes occur in filtration properties of sedimentary rocks in crude paraffin oil flow under acoustic vibrations. Experimental data on (a) pressure drop; (b) permeability; (c) pressure at the rock inlet; and (d) pressure at the rock outlet are presented.
Evgenii Riabokon +6 more
wiley +1 more source
Reweighted techniques: definition and asymptotic convergence
32 pages, 4 figure, submitted to J.
openaire +2 more sources
Nonlinear Response‐History Analyses of Masonry and Mixed Structures With HybriDFEM
ABSTRACT The hybrid discrete‐finite element (HybriDFEM) method, previously developed to perform static and modal analysis in discrete and coupled discrete‐finite element models, is extended to nonlinear response‐history analyses. The equations of motion for the HybriDFEM model are solved through various numerical time‐integration schemes, both explicit
Igor Bouckaert +2 more
wiley +1 more source
Generalised Kinematic Single‐Impact and Multi‐Impact Models for Rocking Structures
ABSTRACT The rocking motion is fundamental in earthquake engineering, as it reflects the dynamic behaviour of many structural systems. However, simulating the impacts during rocking motion remains a challenging topic, as they occur in a very short time, generate high impulsive forces, cause sudden changes in velocities and result in rapid energy losses.
Georgios Vlachakis +3 more
wiley +1 more source
Coherent Forecasting of Realized Volatility
ABSTRACT The QLIKE loss function is the stylized favorite of the literature on volatility forecasting when it comes to out‐of‐sample evaluation and the state of the art model for realized volatility (RV) forecasting is the HAR model, which minimizes the squared error loss for in‐sample estimation of the parameters.
Marius Puke, Karsten Schweikert
wiley +1 more source
Forecasting Count Data With Varying Dispersion: A Latent‐Variable Approach
ABSTRACT Count data, such as product sales and disease case counts, are common in business forecasting and many areas of science. Although the Poisson distribution is the best known model for such data, its use is severely limited by its assumption that the dispersion is a fixed function of the mean, which rarely holds in real‐world scenarios.
Easton Huch +3 more
wiley +1 more source
Intraday Functional PCA Forecasting of Cryptocurrency Returns
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley +1 more source
The Role of Price‐Volatility Cojumps in Volatility Forecasting
ABSTRACT This paper investigates whether simultaneous jumps in prices and volatility improve volatility forecasting. Using up‐to‐date high‐frequency S&P 500 and VIX data, we identify price‐volatility cojumps at the intraday granularity and construct upside, downside, and asymmetric measures.
Kefu Liao
wiley +1 more source
Quadratic Hedging of American Options Under GARCH Models
ABSTRACT American options are widely traded in financial markets, yet there is a scarcity of literature on hedging in incomplete markets. In this paper, we derive optimal hedging ratios and option values using Local Risk Minimization (LRM) and Global Risk Minimization (GRM) hedging strategies through dynamic programming.
Junmei Ma, Chen Wang, Wei Xu
wiley +1 more source
ABSTRACT The fiscal sustainability of healthcare systems is increasingly strained by aging populations with two competing hypotheses dominating the literature. The Red Herring Hypothesis suggests that healthcare expenditures are driven more by proximity to death than by chronological age, while the Steepening Hypothesis examines whether expenditures ...
Malene Kallestrup‐Lamb +2 more
wiley +1 more source

