Modelación de la asimetría y la curtosis condicionales en series financieras colombianas
Bibliographic Data
| ID | 6166687 |
|---|---|
| Authors | Andrés Eduardo Jiménez Gómez, Luis Fernando Melo‐velandia (0000-0003-1524-6399), Luis Fernando Melo Velandia |
| Year | 2016 |
| Issue | 76 |
| Pages | 273-321 |
| Publication date | 2016-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista Desarrollo y Sociedad (JOURNAL) |
| Journal identifiers | ISSN: 0120-3584 • E-ISSN: 1900-7760 |
| Publisher | Universidad de los Andes (PUBLISHER • VE) |
| DOI | 10.13043/dys.76.7 |
| OpenAlex | W2338312331 |
| Language | ES |
| References cited | 9 |
Traditional methodologies used to calculate the value at risk and conditional value at risk usually model the first and second moments of the series, assuming that the third and fourth moments are constant. This paper uses the methodology proposed by Hansen (1994) to model the first four moments of the series, in particular, several parametric shapes are used to model the skewness and kurtosis. The traditional measures of VaR, CVaR and proposals are calculated for the Representative Market Rate, TES, and the IGBC for the period between January 2008 and February 2014. Overall, it was found that measures of market risk have better performance when conditional skewness and kurtosis of the series is modeled
CVAR · Econometrics · Economics · Expected shortfall · Kurtosis · Parametric statistics · Risk management · Series (stratigraphy · Skewness · Statistics · Value at risk · Financial Risk and Volatility Modeling · Insurance and Financial Risk Management · Market Dynamics and Volatility · Mathematics
| Citation velocity | historical |
|---|---|
| Highly cited | No |