Cuatro hechos estilizados de las series de rendimientos: Una ilustración para Colombia
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- Julio César Alonso & Paul Seeman, 2010. "Cálculo del VaR con volatilidad no constante en R," APUNTES DE ECONOMÍA 009097, UNIVERSIDAD ICESI.
- Mateusz Buczyński & Marcin Chlebus, 2017. "Is CAViaR model really so good in Value at Risk forecasting? Evidence from evaluation of a quality of Value-at-Risk forecasts obtained based on the: GARCH(1,1), GARCH-t(1,1), GARCH-st(1,1), QML-GARCH(," Working Papers 2017-29, Faculty of Economic Sciences, University of Warsaw.
- Julio César Alonso & Paul Seeman, 2009. "Cálculo del Valor en Riesgo y Pérdida Esperada mediante R: Empleando modelos con volatilidad constante," APUNTES DE ECONOMÍA 009096, UNIVERSIDAD ICESI.
- repec:col:000385:015975 is not listed on IDEAS
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KeywordsRendimientos Þ nancieros; Regularidadesempíricas; Tasa de cambio; índice general de la Bolsa Colombia; volatility clustering; fat tails.;
- F31 - International Economics - - International Finance - - - Foreign Exchange
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- G00 - Financial Economics - - General - - - General
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