Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/103631 
Year of Publication: 
2013
Citation: 
[Journal:] Econometrics [ISSN:] 2225-1146 [Volume:] 1 [Issue:] 3 [Publisher:] MDPI [Place:] Basel [Year:] 2013 [Pages:] 207-216
Publisher: 
MDPI, Basel
Abstract: 
This paper investigates, in a particular parametric framework, the geometric meaning of joint unpredictability for a bivariate discrete process. In particular, the paper provides a characterization of the joint unpredictability in terms of distance between information sets in an Hilbert space.
Subjects: 
Hilbert spaces
predictability
stochastic process
JEL: 
C18
C32
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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