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Вредност у ризику (VaR)×Model ARIMA (Autoregressive Integrated Moving Average)×
OblastFinansijeEkonometrija
PorodicaRegression modelRegression model
Godina nastanka20072015
TvoracJorion (textbook benchmark); popularised by RiskMetrics / J.P. MorganBox & Jenkins (Box-Jenkins methodology)
TipFinancial risk measureUnivariate time-series model
Temeljni izvorJorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk (3rd ed.). McGraw-Hill. ISBN: 978-0071464956Box, G. E. P., Jenkins, G. M., Reinsel, G. C. & Ljung, G. M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021
Drugi naziviVaR, value-at-risk, delta-normal VaR, historical simulation VaRBox-Jenkins model, ARIMA(p,d,q), ARIMA Modeli
Srodne55
SažetakValue at Risk is a financial risk measure that estimates the maximum loss a position or portfolio could suffer over a fixed holding period at a given confidence level. It is the standard benchmark in risk management and regulatory capital calculations, developed in the textbook tradition of Jorion (2007) and the Basel market-risk framework.ARIMA is a univariate time-series forecasting model that combines autoregressive, integrated (differencing), and moving-average components to predict a single continuous series from its own past. It is the centrepiece of the Box-Jenkins methodology set out in Box, Jenkins, Reinsel & Ljung's Time Series Analysis (5th ed., 2015).
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ScholarGateUporedite metode: Value at Risk · ARIMA. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare