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pro vyhledávání: '"Brunhuemer, Alexander"'
Autor:
Brunhuemer, Alexander, Larcher, Lukas, Seidl, Philipp, Desmettre, Sascha, Kofler, Johannes, Larcher, Gerhard
In this working paper we present our current progress in the training of machine learning models to execute short option strategies on the S&P500. As a first step, this paper is breaking this problem down to a supervised classification task to decide
Externí odkaz:
http://arxiv.org/abs/2204.13587
Publikováno v:
EPTCS 267, 2018, pp. 120-139
Education in the practical applications of logic and proving such as the formal specification and verification of computer programs is substantially hampered by the fact that most time and effort that is invested in proving is actually wasted in vain
Externí odkaz:
http://arxiv.org/abs/1803.01472
Publikováno v:
ACRN Oxford Journal of Finance & Risk Perspectives. 2021 Spl Issue, p166-203. 38p.
Autor:
Brunhuemer, Alexander
Current market environments encourage traders to add new strategies to their portfolios. However, with all the various strategies available nowadays, it can become a really difficult task to distinguish profitable from unprofitable ones. This thesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3361::714bfd6b426d789c1d623de1bfe2ca71