Results 91 to 100 of about 237,695 (301)
Extreme Value Theory and Value at Risk : Application to Oil Market [PDF]
Recent increases in energy prices, especially oil prices, have become a principal concern for consumers, corporations, and governments. Most analysts believe that oil price fluctuations have considerable consequences on economic activity.
Abdelwahed Trabelsi +2 more
core
On multivariate extensions of the conditional Value-at-Risk measure
CoVaR is a systemic risk measure proposed by Adrian and Brunnermeier (2011) able to measure a financial institution’s contribution to systemic risk and its contribution to the risk of other financial institutions. CoVaR stands for conditional Value-at-Risk, i.e. it indicates the Value at Risk for a financial institution that is conditional on a certain
Di Bernardino, Elena +3 more
openaire +3 more sources
ABSTRACT Genome‐wide association studies (GWAS) link the Tropomyosin 1 (Tpm1) locus to quantitative blood trait variation, but related mechanisms are unclear. Tpm1 encodes an actin‐binding protein that regulates actin filament diversity, cell adhesion, signaling, and actomyosin contractility.
Po‐Lun Kung +19 more
wiley +1 more source
In rheumatoid arthritis, synovial Tregs accumulate but are functionally impaired due to iron overload‐induced ferroptosis. This triggers mitochondrial dysfunction and TXK tyrosine kinase‐mediated signaling, leading to Treg destabilization and inflammation.
Jingrong Chen +19 more
wiley +1 more source
O presente estudo propõe uma análise comparativa de dez modelos de volatilidade para o cálculo do Value-at-Risk (VaR) para carteira teórica do Ibovespa, considerando a presença de memória longa na série temporal dos seus retornos diários.
Luiz Eduardo Gaio +1 more
doaj +1 more source
Conditional Value-at-Risk for General Loss Distributions
Fundamental properties of conditional value-at-risk, as a measure of risk with significant advantages over value-at-risk, are derived for loss distributions in finance that can involve discreetness. Such distributions are of particular importance in applications because of the prevalence of models based on scenarios and finite sampling.
Department of Mathematics, University of Washington, P.O. Box 354350, Seattle, WA 98195-4350, USA ( host institution ) +2 more
openaire +2 more sources
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
Machine learning-based price forecasting and risk management in renewable energy markets
The rising share of renewable energy has amplified electricity price volatility, underscoring the need for accurate forecasting and robust risk management.
Kuochun Lin, Peichun Feng
doaj +1 more source
Comparing univariate and multivariate models to forecast portfolio value-at-risk [PDF]
This article addresses the problem of forecasting portfolio value-at-risk (VaR) with multivariate GARCH models vis-à-vis univariate models. Existing literature has tried to answer this question by analyzing only small portfolios and using a testing ...
Andre A. P. +2 more
core
Measuring financial risk : comparison of alternative procedures to estimate VaR and ES [PDF]
We review several procedures for estimating and backtesting two of the most important measures of risk, the Value at Risk (VaR) and the Expected Shortfall (ES). The alternative estimators differ in the way the specify and estimate the conditional mean
Ruiz Ortega, Esther +2 more
core

