Mesut Yasar Ozturk

Master's thesis

A Comparative Study of Financial Time Series Forecasting Using Machine Learning and Traditional Statistical Methods - An Application To Stock Market Data

A Comparative Study of Financial Time Series Forecasting Using Machine Learning and Traditional Statistical Methods - An Application On Stock Market Data
Anotácia:
Machine learning, as a subtopic of artificial intelligence, has powerfully been applied in multiple industries increasingly. With its ever-increasing prediction power combined with conventional statistical methods, the investment industry makes use of artificial intelligence in making a decision and making more robust inferences. Today, AI is certainly a key phenomenon in quantitative investment analysis …viac
Abstract:
Machine learning, as a subtopic of artificial intelligence, has powerfully been applied in multiple industries increasingly. With its ever-increasing prediction power combined with conventional statistical methods, the investment industry makes use of artificial intelligence in making a decision and making more robust inferences. Today, AI is certainly a key phenomenon in quantitative investment analysis …viac
 
 
Jazyk práce: English
Datum vytvoření / odevzdání či podání práce: 26. 9. 2018

Obhajoba závěrečné práce

  • Obhajoba proběhla 3. 6. 2021
  • Vedúci: Tomáš Formánek
  • Oponent: Petra Tomanová

Citační záznam

Plný text práce

Obsah online archivu závěrečné práce
Zveřejněno v Theses:
  • autentizovaným zaměstnancům ze stejné školy/fakulty
Jak jinak získat přístup k textu
Instituce archivující a zpřístupňující práci: Vysoká škola ekonomická v Praze
https://vskp.vse.cz/eid/83175

Vysoká škola ekonomická v Praze

Master programme / odbor:
Kvantitativní metody v ekonomice / Quantitative Economic Analysis