Results 111 to 120 of about 148,735 (300)
Trading risk control model of electricity retailers in multi‐level power market of China
The decision‐making and risk assessment of electricity purchase and sales is the key to adapt to the electricity market for independent electricity retailers in China.
Xiaobao Yu, Yixin Sun
doaj +1 more source
Time-varying conditional Johnson SU density in value-at-risk (VaR) methodology
Stylized facts on financial time series data are the volatility of returns that follow non-normal conditions such as leverage effects and heavier tails leading returns to have heavier magnitudes of extreme losses.
Cayton, Peter Julian A., Mapa, Dennis S.
core
Value at Risk: A Comparative Analysis [PDF]
study develops a comparative analysis concerning Value at Risk measure for a portfolio consisting of three stocks traded at Bucharest Stock Exchange. The analysis set out from 1-day, 1% VaR and has been extended in two directions: the volatility models ...
Filip Iorgulescu
core
Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong +24 more
wiley +1 more source
Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures [PDF]
It is well known that the Basel II Accord requires banks and other Authorized Deposit-taking Institutions (ADIs) to communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more ...
Michael McAleer +4 more
core +4 more sources
Slow‐transit constipation (STC) is a disabling motility disorder with unclear smooth‐muscle mechanisms. Spatial proteomic analysis of STC patient colon reveals both the central pathogenic role of smooth muscle cells (SMCs) in STC and novel regulators of intestinal motility, BIN1 and ALDH1B1.
Jianbo Liu +10 more
wiley +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Exact inference in diagnosing value-at-risk estimates: A Monte Carlo device [PDF]
In this note a Monte Carlo approach is suggested to determine critical values for diagnostic tests of Value-at-Risk models that rely on binary random variables. Monte Carlo testing offers exact significance levels in finite samples.
Herwartz, Helmut
core
Under colitis, Gsdmd mediates the release of IL‐33 from the epithelium of pregnant mice. IL‐33 can cross the placenta and enhance the proliferative capacity of neural stem cells, ultimately resulting in behavioral deficits in the offspring. Excessive pyroptosis in the colonic epithelium also triggers the translocation of LPS, which in turn increases ...
Huiyang Jia +4 more
wiley +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source

