Διαχείριση χρηματοοικονομικών επενδύσεων στο πλαίσιο της χρηματοοικονομικής τεχνολογίας (FinTech)

Κολιάκος, Χρήστος

Master Thesis

Author

Κολιάκος, Χρήστος

Date

2023

Abstract

This thesis aims to compare traditional Hedge funds with those that employ technology and artificial intelligence. The first section of the thesis discusses the advanced tools of the economy and technology complex (FinTech) and their use by large funds and financial institutions. To analyze 'smart' Hedge funds, reliable data sources were used. We focused on Hedge funds that utilize technology, particularly artificial intelligence. We employed statistical and financial measures commonly used in financial and stock market performance analysis to evaluate the performance of these 'smart' Hedge funds. These measures provide comprehensive information on the overall performance of an asset. The analysis of 'smart' Hedge funds should include data from crisis periods, as well as comparisons with major financial indices and other classes of mutual funds. Our research indicates that although the number of investors favoring mutual funds over traditional investments such as stocks and indices is increasing, the performance of these Hedge funds does not always align with this preference. A low correlation is observed between returns on macro-economics and those based on underlying equity security, possibly due to the nature of the underlying security. This trend is also observed with 'smart' Hedge funds. Based on financial and statistical measures, we conclude that 'smart' Hedge funds offer an attractive investment solution with satisfactory returns and a controlled level of risk. It is important to continue monitoring the performance of these funds, including during crisis periods, to fully evaluate their effectiveness.

Postgraduate Studies Programme

Πρόγραμμα Μεταπτυχιακών Σπουδών στη Διοίκηση Επιχειρήσεων (ΜΒΑ)

Department

Σχολή Οικονομικών, Επιχειρηματικών και Διεθνών Σπουδών. Τμήμα Οργάνωσης και Διοίκησης Επιχειρήσεων

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/15419
http://dx.doi.org/10.26267/unipi_dione/2841

Collections

Τμήμα Οργάνωσης και Διοίκησης Επιχειρήσεων

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα