Methods for Simulating Multi-dimensional Data for Financial Services Recommendation

Vasil Marchev () and Angel Marchev Jr ()
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Vasil Marchev: University of National and World Economy, Sofia, Bulgaria
Angel Marchev Jr: University of National and World Economy, Sofia, Bulgaria

Bulgarian Economic Papers from Faculty of Economics and Business Administration, Sofia University St Kliment Ohridski - Bulgaria // Center for Economic Theories and Policies at Sofia University St Kliment Ohridski

Abstract: This study is part of bigger research about self-learning systems for management of individualized investment portfolios. In this research we present several approaches for generating multi-dimensional synthetic data in conformity with the business logic, correlations, previous datasets, concatenation, neural networks, etc. Each approach is described algorithmically, and a brief comparative analysis is conducted at the conclusion of the paper. All described approaches rely to a different extend on real data as input Ð whether aggregated distribution or partially available real data to be enriched horizontally or vertically.

Keywords: self-learning systems; synthetic data; individualized investment portfolios. (search for similar items in EconPapers)
JEL-codes: C63 C81 G29 (search for similar items in EconPapers)
Pages: 13 pages
Date: 2021-02, Revised 2021-02
New Economics Papers: this item is included in nep-cmp and nep-ore
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Persistent link: https://EconPapers.repec.org/RePEc:sko:wpaper:bep-2021-02

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