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A Real-Time Dynamic Warning Method for MODS in Trauma Sepsis Patients Based on a Pre-Trained Transfer Learning Algorithm. [PDF]
Diagnostics (Basel)Wen J +8 more
europepmc +1 more source
Predictive role of lung ultrasound score for mortality risk of patients with severe pneumonia: a systematic review and meta-analysis. [PDF]
J Thorac DisHuang W +7 more
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Prevalence and associated factors of scabies among school going children in Khulna division: a comparative cross-sectional study between schools and madrasahs (Islamic religious schools). [PDF]
BMJ Paediatr OpenMothashin M +3 more
europepmc +1 more source
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2016
In this work we focus on calculating the value at risk (VaR) for all types of assets and combinations of them (portfolios). We have studied the analytical methods for cumputing the VaR directly, but since this method is not always feassible (e.g. for certain bonds and options), we have also atempted VaR calculation through simulations for this type of ...
González Pons, Anna +1 more
openaire +3 more sources
In this work we focus on calculating the value at risk (VaR) for all types of assets and combinations of them (portfolios). We have studied the analytical methods for cumputing the VaR directly, but since this method is not always feassible (e.g. for certain bonds and options), we have also atempted VaR calculation through simulations for this type of ...
González Pons, Anna +1 more
openaire +3 more sources
2010
In this chapter we review the main market risk measurement tool used in banking, known as value-at-risk (VaR). The review looks at the three main methodologies used to calculate VaR, as well as some of the key assumptions used in the calculations, including those on the normal distribution of returns, volatility levels and correlations. We also discuss
Moorad Choudhry +4 more
openaire +1 more source
In this chapter we review the main market risk measurement tool used in banking, known as value-at-risk (VaR). The review looks at the three main methodologies used to calculate VaR, as well as some of the key assumptions used in the calculations, including those on the normal distribution of returns, volatility levels and correlations. We also discuss
Moorad Choudhry +4 more
openaire +1 more source
Interpreting Value at Risk (VaR) forecasts
Economic Systems, 2008Abstract Value at Risk (VaR) forecasts have been increasingly accepted globally by both risk managers and regulators as a tool to identify and control exposure to financial market risk. However, modern portfolios are characterized by a constantly changing composition of security holdings that reflect portfolio managers’ strategies, expected prices ...
Allan W. Gregory, Jonathan J. Reeves
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BANKPEDIA REVIEW, 2013
The value at risk (VaR) measures the risk of loss associated to financial assets. For a given time period (normally ranging from 1 to 10 days), and with a given probability confidence (generally equal to 95% or 99%); this measure represents the maximum loss the investor can suffer when holding financial assets.
openaire +1 more source
The value at risk (VaR) measures the risk of loss associated to financial assets. For a given time period (normally ranging from 1 to 10 days), and with a given probability confidence (generally equal to 95% or 99%); this measure represents the maximum loss the investor can suffer when holding financial assets.
openaire +1 more source