Níguez, Trino Manuel (2008) Volatility and VaR forecasting in the Madrid Stock Exchange. Spanish Economic Review, 10 (3). pp. 169-196. ISSN 1435-5469Full text not available from this repository.
This paper provides an empirical study to assess the forecasting performance of a wide range of models for predicting volatility and VaR in the Madrid Stock Exchange. The models performance was measured by using different loss functions and criteria. The results show that FIAPARCH processes capture and forecast more accurately the dynamics of IBEX-35 returns volatility. It is also observed that assuming a heavy-tailed distribution does not improve models ability for predicting volatility. However, when the aim is forecasting VaR, we find evidence of that the Student’s t FIAPARCH outperforms the models it nests the lower the target quantile.
|Subjects:||University of Westminster > Westminster Business School|
|Depositing User:||Miss Nina Watts|
|Date Deposited:||19 Feb 2009 10:55|
|Last Modified:||01 Nov 2012 15:35|
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