Núm. 52 (2020)
Artículos

VaR and CVaR estimates in BRIC’s Oil Sector: A Normal Inverse Gaussian Distribution Approach

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  • Eduardo Sánchez Ruenes,
  • José Antonio Núñez Mora,
  • Martha Beatriz Mota Aragón
Eduardo Sánchez Ruenes
Tecnológico de Monterrey
José Antonio Núñez Mora
Tecnológico de Monterrey
Martha Beatriz Mota Aragón
Universidad Autónoma Metropolitana
Publicado enero 31, 2020

Derechos de autor 2020 Economía teoría y práctica

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Resumen

The Value at Risk (VaR) and the Conditional Value at Risk (CVaR) as measures that estimate risk, have been used in oil sector to measure extreme and unexpected scenarios of oil prices. Additionally, the Normal Inverse Gaussian (NIG) distribution, a special case of the Generalized Hyperbolic (GH) family, has been demonstrated to provide a better fit than Normal distribution to financial data. In this paper, we used NIG distribution to model a distribution of equity price returns in oil companies in Brazil, Russia, India and China (BRIC) economies in periods of unstable oil prices from 2004 to 2017, with the objective of demonstrating an underestimation of the risk measures when a Normal distribution is assumed and a more conservative estimate of those measures when considering a NIG distribution.

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