Results 141 to 150 of about 30,945,589 (274)
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
Merits and drawbacks of variance targeting in GARCH models [PDF]
Variance targeting estimation is a technique used to alleviate the numerical difficulties encountered in the quasi-maximum likelihood (QML) estimation of GARCH models.
Francq, Christian +2 more
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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
Modeling Volatility Spillovers between the Variabilities of US Inflation and Output: the UECCC GARCH Model [PDF]
This paper employs the unrestricted extended constant conditional correlation GARCH specification proposed in Conrad and Karanasos (2008) to examine the intertemporal relationship between the uncertainties of inflation and output growth in the US.
Christian Conrad, Menelaos Karanasos
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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
Multivariate Regime–Switching GARCH with an Application to International Stock Markets [PDF]
We develop a multivariate generalization of the Markov–switching GARCH model introduced by Haas, Mittnik, and Paolella (2004b) and derive its fourth–moment structure.
Markus Haas, Stefan Mittnik
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
Modelos de memória longa, GARCH e GARCH com memória longa para séries financeiras [PDF]
openaire +1 more source
Seize the Moments: Approximating American Option Prices in the GARCH Framework [PDF]
This paper proposes an efficient approach to compute the prices of American style options in the GARCH framework. Rubinstein's (1998) Edgeworth tree idea is combined with the analytical formulas for moments of the cumulative return under GARCH developed ...
Caroline Sasseville +3 more
core

