Title
Principal Curves for Statistical Divergences and an Application to Finance.
Abstract
This paper proposes a method for the beta pricing model under the consideration of non-Gaussian returns by means of a generalization of the mean-variance model and the use of principal curves to define a divergence model for the optimization of the pricing model. We rely on the q-exponential model so consider the properties of the divergences which are used to describe the statistical model and fully characterize the behavior of the assets. We derive the minimum divergence portfolio, which generalizes the Markowitz's (mean-divergence) approach and relying on the information geometrical aspects of the distributions the Capital Asset Pricing Model (CAPM) is then derived under the geometrical characterization of the distributions which model the data, all by the consideration of principal curves approach. We discuss the possibility of integration of our model into an adaptive procedure that can be used for the search of optimum points on finance applications.
Year
DOI
Venue
2018
10.3390/e20050333
ENTROPY
Keywords
Field
DocType
principal curves,information geometry,deformed exponential,finance application
Information geometry,Divergence,Capital asset pricing model,Portfolio,Statistical model,Beta (finance),Finance,Mathematics,Principal curves
Journal
Volume
Issue
ISSN
20
5
1099-4300
Citations 
PageRank 
References 
1
0.43
4
Authors
2
Name
Order
Citations
PageRank
Ana Flávia P. Rodrigues110.43
Charles Casimiro Cavalcante24514.78