Results 41 to 50 of about 7,521,088 (292)

THE APPLICATION OF GUMBEL COPULA TO ESTIMATE VALUE AT RISK WITH BACKTESTING IN TELECOMMUNICATION STOCK

open access: yesBarekeng, 2023
The Value at Risk (VaR) method refers to a statistical risk measurement tool used to determine the maximum loss of an investment, while the distribution that must be met is the normal distribution.
Alimatun Najiha   +2 more
doaj   +1 more source

Real‐World Pediatric Blinatumomab Administration: Access to Outpatient Care Delivery and Impact of a Hospital‐Dispensed Model

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Blinatumomab has been shown to be highly effective for patients with pediatric B‐ALL and has recently become standard of care therapy. Due to its past use in the clinical trial setting, there is limited information available about real‐world administration.
Katelyn Oranges   +12 more
wiley   +1 more source

MENAKSIR VALUE AT RISK (VAR) PORTOFOLIO PADA INDEKS SAHAM DENGAN METODE PENDUGA VOLATILITAS GARCH

open access: yesE-Jurnal Matematika, 2013
Value at Risk (VaR) is a concept which was used to measure a risk on risk management. VaR explained the worst amount of financial loss in a financial product with the horizon and certain degree of believe.
INTAN AWYA WAHARIKA   +2 more
doaj   +1 more source

Optimization with multivariate conditional value-at-risk constraints [PDF]

open access: yes, 2012
For many decision making problems under uncertainty, it is crucial to develop risk-averse models and specify the decision makers' risk preferences based on multiple stochastic performance measures (or criteria). Incorporating such multivariate preference
Noyan, Nilay, Rudolf, Gabor
core   +3 more sources

Clinical Insights Into Hypercalcemia of Malignancy in Childhood

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley   +1 more source

Survival Outcomes and Complications Among Canadian Children With Retinoblastoma: A Population‐Based Report From CYP‐C

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine   +14 more
wiley   +1 more source

Copula-Based Risk Aggregation and the Significance of Reinsurance

open access: yesRisks
Insurance companies need to calculate solvency capital requirements in order to ensure that they can meet their future obligations to policyholders and beneficiaries.
Alexandra Dias   +2 more
doaj   +1 more source

Value-at-risk (Var) for Lq – 45 Companies [PDF]

open access: yes, 2011
This paper offers a new measurement of risk, Value-at-Risk (VaR) for LQ-45 index in Indonesian Stock Exchange (ISX). Basic finance uses standard deviation in measuring and quantifying the risks.
Handika, R. (Rangga)
core  

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

A Hybrid EGARCH–Informer Model with Consistent Risk Calibration for Volatility and CVaR Forecasting

open access: yesMathematics
This study proposes a hybrid EGARCH-Informer framework for forecasting volatility and calibrating tail risk in financial time series. The econometric layer (EGARCH) captures asymmetric and persistent volatility dynamics, while the attention layer ...
Ming Che Lee
doaj   +1 more source

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