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SINVLIO: Using semantics and fuzzy logic to provide individual investment portfolio recommendations

Knowledge-Based SystemsPublished 1 September 2011
Ángel García-Crespo, José Luis López-Cuadrado, Israel González‐Carrasco, Ricardo Colomo‐Palacios, Belén Ruíz‐Mezcua
Citations35
SJR quartileQ1
SJR score1.93
SNIP2.34

TL;DR

SINVLIO (Semantic INVestment portfoLIO), a tool based on semantic technologies and fuzzy logic techniques that recommends investments grounded in both psychological aspects of the investor and traditional financial parameters of the investments, is presented.

Abstract

Portfolio selection addresses the problem of how to diversify investments in the most efficient and profitable way possible. Portfolio selection is a field of study that has been broached from several perspectives, including, among others, recommender systems. This paper presents SINVLIO (Semantic INVestment portfoLIO), a tool based on semantic technologies and fuzzy logic techniques that recommends investments grounded in both psychological aspects of the investor and traditional financial parameters of the investments. The results are very encouraging and reveal that SINVLIO makes good recommendations, according to the high degree of agreement between SINVLIO and expert recommendations

Keywords

Computer ScienceDecision SciencesEconomics, Econometrics and Finance