Results 51 to 60 of about 2,505,472 (267)

Una propuesta de Creditmetrics y Expected Shortfall para medición de riesgo crediticio [PDF]

, 2010
This paper presents a simple method to quantify credit risk. The idea is to combine the CreditMetrics methodology with the Expected Shortfall risk measure. We apply this method for a stand-alone bond and a portfoMetrics is based on VAR rik measure.
Mora Valencia, Andrés
core   +2 more sources

Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin, Tianyuan Yang, Minglei Liu, Haiyang Luo, Jing Yuan, Ke Zhang, Xinsheng Han, Jing Yang, Yuming Xu   +8 more
wiley   +1 more source

The Impact of Gold, Silver, and Bitcoin Volatility on Banking Systemic Risk: Safe-Haven or Amplifier?

Risks
This study examines the dynamic interactions between precious metals (gold and silver) and cryptocurrencies (Bitcoin) in the context of banking systemic risk, by identifying the main banking factors of systemic vulnerability.
Mohamed Amin Chakroun, Faten Abidli
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Spectrally Coordinated Plasmonic–Photothermal Photocatalysts for Mineralization of Mixed Indoor VOCs Under White LED Illumination

Advanced Materials, EarlyView.
A plasmonic–photothermal–photocatalytic hybrid comprising Cu(II)‐grafted TiO2, yolk–shell Au@SiO2, and reduced graphene oxide sheets (CuT/AuSi‐GS) harvests full‐spectrum white light‐emitting diode (LED) light via complementary photocatalytic oxidation, localized surface‐plasmon‐resonance‐induced electric‐field enhancement, and photothermal acceleration.
Minhyung Lee, Geun Young Kim, Gahye Shin, Haein Cho, Juwon Lee, Jinglin Wen, Wooyul Kim, Changha Lee, Kangwoo Cho, Jae‐Hyuk Kim, Hyoung‐il Kim   +10 more
wiley   +1 more source

A Cu2S/NiOOH Heterojunction Enables Highly Selective Ammonia‐to‐Nitrite Electrooxidation at Industrially Relevant Current Densities

Advanced Materials, EarlyView.
Cu2S/NiOOH heterojunction enables efficient ammonia electrooxidation coupled with hydrogen evolution. Interfacial electronic modulation of Ni sites promotes selective NH3‐to‐NO2− electrooxidation at high current density. In a membrane electrode assembly, Cu2S/NiOOH maintains over 90% Faradaic efficiency of nitrite at 800 mA cm−2, highlighting its ...
Ke Wang, Hongzhe Anna Xu, Xin Mao, Xuefei Wang, Min Zheng, Chun‐Chuan Kao, Limei Yang, Jiashu Wang, Boming Sun, Shokoofeh Varshooy, Aijun Du, Qi‐Long Zhu, Jian Liu, Zhenguo Huang   +13 more
wiley   +1 more source

Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors

Advanced Science, EarlyView.
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu, Fumiaki Iwane, Minsu Zhang, Leonardo G. Cohen, José del R. Millán   +4 more
wiley   +1 more source

Measuring financial risk : comparison of alternative procedures to estimate VaR and ES [PDF]

, 2008
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, Nieto, María Rosa, Ruiz, Esther   +2 more
core   +1 more source

Introducing Borsantrazole: A Trifunctional Boron‐Based Pyrazole That Extends the Lifespan of Amyotrophic Lateral Sclerosis Mice

Advanced Science, EarlyView.
Herein we report a boron‐based pyrazole, (Borsantrazole ‐ a small molecule that selectively targets oxidative stress) that significantly increases survival, reduces weight loss, delays disease onset, and affects global protein changes in the SOD1‐G37R mouse model of ALS.
Nitesh Sanghai, Rhonda Kelley, Ying Lao, M. Immanuel Reyes Madlangsakay, Prasanta Paul, M. Alejandra Llanes‐Cuesta, Jun‐Feng Wang, René P. Zahedi, Jiming Kong, Geoffrey K. Tranmer   +9 more
wiley   +1 more source

Time-lagged marginal expected shortfall

Marginal expected shortfall (MES) is an important measure when assessing and quantifying the contribution of the financial institution to a systemic crisis. In this paper, we propose time-lagged marginal expected shortfall (TMES) as a dynamic extension of the MES, accounting for time lags in assessing systemic risks. A natural estimator for the TMES is
Liu, Jiajun, Liu, Xuannan, Zhao, Yuwei
openaire   +2 more sources