A multi-covariate semi-parametric conditional volatility model using probabilistic fuzzy systems

Value at Risk (VaR) has been successfully estimated using single covariate probabilistic fuzzy systems (PFS), a method which combines a linguistic description of the system behaviour with statistical properties of data. In this paper, we consider VaR estimation based on a PFS model for density forec...

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Bibliographic Details
Published in:2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr) pp. 1 - 8
Main Authors: Almeida, R. J., Basturk, N., Kaymak, U., Milea, V.
Format: Conference Proceeding
Language:English
Published: IEEE 01-03-2012
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