Results 151 to 160 of about 38,888 (250)
The impacts of outliers on different estimators for GARCH processes: an empirical study [PDF]
The Maximum likelihood estimation (MLE) is the most widely used method to estimate the parameters of a GARCH(p,q) process. This is owed to the fact that the MLE, among other properties, is asymptotically efficient.
Ardelean, Vlad
core
Nasal epithelial transcriptomics identified three cytokine‐associated epithelial immune programs linked to childhood asthma phenotypes. Age‐associated epithelial polarization shifted from IFN/type‐17‐associated toward type‐2‐associated programs after 3 years of age.
Constanze A. Jakwerth +71 more
wiley +1 more source
Outliers in Garch models and the estimation of risk measures [PDF]
In this paper we focus on the impact of additive level outliers on the calculation of risk measures, such as minimum capital risk requirements, and compare four alternatives of reducing these measures' estimation biases. The first three proposals proceed
Aurea Grané, Helena Veiga
core
Heterozygous de novo nonsense variants in the penultimate and last exons of NUSAP1 were identified in two unrelated individuals, predicted to escape NMD. In population data, nonsense variants were observed in exons 1–9 (of 11) in NUSAP1 but were absent from its 3′‐terminal region.
Maureen Jacob +15 more
wiley +1 more source
Optimal Hedging Strategies in the Low‐Sulphur Bunker Fuel Landscape
ABSTRACT The IMO2020 regulation for the green transition in shipping turned the industry into using two compliant bunker fuels: very low‐sulphur fuel oil (VLSFO) and low‐sulphur marine gas oil (LSMGO). VLSFO futures contracts introduced in late 2019 and other energy‐related futures contracts indicate that the VLSFO contracts trading on the Singapore ...
Xiwen Bai +2 more
wiley +1 more source
Constrictions and shear stress are key determinants of amyloidogenic light chain (AL) amyloidosis
In this study, we investigate how flow constrictions and shear stress trigger cardiac antibody light chain (AL) fibril formation and deposition. We mimic the mechanical forces exerted by the heart and the microvasculature network using a mini‐peristaltic pump setup and a grid‐type microchannel network, respectively.
Yuji Goto +11 more
wiley +1 more source
Accurate Value-at-Risk Forecast with the (good old) Normal-GARCH Model [PDF]
A resampling method based on the bootstrap and a bias-correction step is developed for improving the Value-at-Risk (VaR) forecasting ability of the normal-GARCH model.
Stefan Mittnik +2 more
core
Volatility ≠ Risk: When Timing Alpha in Crypto Markets Reflects Mispricing
ABSTRACT Volatility timing in cryptocurrency markets generates significant alpha, but only during periods of loose monetary policy and high uncertainty. Analyzing S&P crypto indices (2017–2023) dominated by large‐cap assets, we show realized volatility can reflect noise‐driven speculative flows, not risk compensation. This effect is strongest for small‐
Arben Kita, Yue Zhang
wiley +1 more source
Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function
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
The expected inflation risk premium in the U.S. stock market
Abstract This article studies how expected inflation risk affects asset prices. We propose an ex‐ante, tradable proxy for this risk, derived from the term spread of gold futures prices. Using cross‐sectional and time series asset pricing tests, we show how an increase in expected inflation risk lowers contemporaneous prices and raises equity returns ...
Pascal Letourneau +2 more
wiley +1 more source

