Results 41 to 50 of about 424,806 (227)
Dört Büyük Kriptoparanın Piyasa Riskinde Covid-19 Pandemi Etkisi
Yüksek volatiliteli oldukları bilinen kripto paraları borsalarda yatırım amaçlı kullananlar için piyasa riskinin ölçülmesi, özellikle Covid-19 pandemi haberlerinin piyasalarda duyulmasıyla birlikte, daha fazla önem kazanmıştır.
Neslihan Fidan
doaj +1 more source
Valor em Risco (Var-Value at Risk)
O VAR (Value at Risk), valor em risco, é a perda máxima provável de uma carteira para um nível de confiança determinado, num horizonte temporal especificado. As metodologias podem ser várias paro estimar o VAR, mas dividem-se em dois grandes grupos: os não paramétricos (simulações Históricas e simulações Monte Carlo) e os paramétricos, baseadas na ...
openaire +3 more sources
Beyond Value at Risk (VaR): The Conditional VaR (CvaR) [PDF]
En los últimos años, el Valor en Riesgo (VeR) se ha convertido en un patrón comúnmente utilizado en la medición del Riesgo de Mercado por los directivos bancarios.
Feria Domínguez, José Manuel +1 more
core
VALUE at RISK (VaR) DAN CONDITIONAL VALUE at RISK (CVaR) DALAM PEMBENTUKAN PORTOFOLIO BIVARIAT MENGGUNAKAN COPULA GUMBEL [PDF]
One way to minimize risk in investing is to form of portfolio by combining several stocks.Value at Risk (VaR) is a method for estimating risk but has a weakness that is VaR is incoherent because it does not have the subadditivity. To overcome the weakness of VaR, Conditional Value at Risk (CVaR) can use. Stock data is generally volatile, so ARIMA-GARCH
Dina Rahma Prihatiningsih +2 more
openaire +1 more source
An empirical evaluation of Value-at-Risk: The case of the Belgrade Stock Exchange index - BELEX15 [PDF]
The subject of the research is to test and analyze VaR (Value-at-Risk) methods of market risk management on the financial market of the Republic of Serbia.
Anđelić Goran B. +2 more
doaj
PERHITUNGAN VaR PORTOFOLIO SAHAM MENGGUNAKAN DATA HISTORIS DAN DATA SIMULASI MONTE CARLO
Value at Risk (VaR) is the maximum potential loss on a portfolio based on the probability at a certain time. In this research, portfolio VaR values calculated from historical data and Monte Carlo simulation data.
WAYAN ARTHINI +2 more
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Improving Value-at-Risk prediction under model uncertainty
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
Transformations in risk management of currency exchange in Lithuanian commercial banks
After the adoption of International Convergence of Capital Measurement and Capital Standards (widely known as Basel II requirements) in 2004 the risk management in commercial banks has changed dramatically. Lithuanian commercial banks are in transitional
Jonas Nedzvedskas, Povilas Aniūnas
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This paper presents a financial risk assessment model for the electrical-energy-sale process trough long-term bilateral contracts. The volatility exhibited by spot prices of electricity in Colombia constitutes one of the aspects of big influence in ...
Mónica Sánchez +2 more
doaj
Value at Risk (VaR) forecasts can be produced from conditional autoregressive VaR models, estimated using quantile regression. Quantile modeling avoids a distributional assumption, and allows the dynamics of the quantiles to differ for each probability ...
James W. Taylor
semanticscholar +1 more source

