Results 31 to 40 of about 8,248,666 (375)

Predicting Returns, Volatilities and Correlations of Stock Indices Using Multivariate Conditional Autoregressive Range and Return Models

open access: yesMathematics, 2022
This paper extends the conditional autoregressive range (CARR) model to the multivariate CARR (MCARR) model and further to the two-stage MCARR-return model to model and forecast volatilities, correlations and returns of multiple financial assets.
Shay Kee Tan   +2 more
doaj   +1 more source

Value-at-risk

open access: yesThe Journal of Risk Finance, 2010
Value at risk (VaR) is one of the most widely used models in risk management. It is based on probability and statistics. VaR can be characterized as a maximum expected loss, given some time horizon and within a given confidence interval. Its utility is in providing a measure of risk that illustrates the risk inherent in a portfolio with multiple risk ...
Christian Gourieroux, Joann Jasiak
  +6 more sources

Classification of methods for risk measures VaR and CVaR calculation and estimation

open access: yesSistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2016
A systematic classification of the existing approaches for popular risk measures VaR and CVaR calculating and estimating is fulfilled. A review of the most used methods is done.
Nataliia G. Zrazhevska, A. G. Zrazhevsky
doaj   +1 more source

Portfolio Selection Models Based on Interval-Valued Conditional Value-at-Risk (ICVaR) and Case Study on the Data from Stock Markets

open access: yesFractal and Fractional, 2022
Risk management is very important for individual investors or companies. There are several ways to measure the risk of investment. Prices of risky assets vary rapidly and randomly due to the complexity of finance market. Random interval is a good tool to
Jinping Zhang, Keming Zhang
doaj   +1 more source

Improving Value-at-Risk prediction under model uncertainty

open access: yes, 2020
Several well-established benchmark predictors exist for Value-at-Risk (VaR), a major instrument for financial risk management. Hybrid methods combining AR-GARCH filtering with skewed-$t$ residuals and the extreme value theory-based approach are ...
Peng, Shige   +2 more
core   +1 more source

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar   +8 more
wiley   +1 more source

164 An algebra assessment and primer for future clinical and translational scientists entering training

open access: yesJournal of Clinical and Translational Science
Objectives/Goals: Trainees in clinical and translational science (CTS) take courses in biostatistics, epidemiology, and other quantitative areas. To be most successful, trainees require competency in algebra.
Angie Mae Rodday   +3 more
doaj   +1 more source

Water Risk and Mining Firms’ Stock Return [PDF]

open access: yesتحقیقات مالی
ObjectiveAccess to sustainable water resources has recently been raised as a major challenge facing water-dependent companies. The mining industry is one of the huge water users, which can be severely affected by water crises.
Maryam Davallou, Shirin Mehrali
doaj   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis   +9 more
wiley   +1 more source

Pengukuran Value at Risk Pada Aset Tunggal Dan Portofolio Dengan Simulasi Monte Carlo [PDF]

open access: yes, 2009
Value at Risk (VaR) is the established standard for measuring market risk. VaR measures the worst expected loss under normal market conditions over a specific time interval at a given confidence level. A VaR statistic has three components: a time period,
Maruddani, D. A. (Di)   +1 more
core  

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