Template-type: ReDIF-Paper 1.0
Author-Name: Massimiliano Caporin
Author-Email: massimiliano.caporin@unipd.it
Author-Workplace-Name: Department of Economic Sciences University of Padova
Author-Name: Michael McAleer
Author-Workplace-Name: Universidad Complutense de Madrid.Department of Quantitative Economics
Title: A Scientific Classification of Volatility Models.
Abstract: Modeling volatility, or “predictable changes” over time and space in a variable, 
	is crucial in the natural and social sciences. Life can be volatile, and anything that 
	matters, and which changes over time and space, involves volatility. Without volatility, 
	many temporal and spatial variables would simply be constants. Our purpose is to propose 
	a scientific classification of the alternative volatility models and approaches that are 
	available in the literature, following the Linnaean taxonomy. This scientific classification 
	is used because the literature has evolved as a living organism, with the birth of numerous 
	new species of models.
Length: 8 pages 
Creation-Date: 2009
Number: 2009-05
X-File-Ref: http://america.sim.ucm.es/repec/ucm/ref/doicae0905.txt
File-URL: https://eprints.ucm.es/id/eprint/8591/1/0905.pdf
File-Format: Application/pdf
Handle: RePEc:ucm:doicae:0905