Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Joerg Osterrieder"'
Autor:
Joerg Osterrieder
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
This article exclusively formulates and presents three innovative hypotheses related to the execution of share buybacks, employing Genetic Algorithms (GAs) and mathematical optimization techniques. Drawing on the foundational contributions of scholar
Externí odkaz:
https://doaj.org/article/3154285af15b45798e5ec95a0bd46c8c
Autor:
Joerg Osterrieder, Michael Seigne
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
This literature review aims to address the critical knowledge gap in the field of share repurchase executions, a financial activity involving companies repurchasing trillions of dollars' worth of their own shares. The significance of understanding th
Externí odkaz:
https://doaj.org/article/9c13a1f19af64d7785ab15ccba1b654d
Publikováno v:
Open Research Europe, Vol 3 (2023)
This white paper explores the construction of a reliable Environmental, Social, and Governance (ESG) scoring engine, with a focus on the importance of data sources and quality, selection of ESG indicators, weighting and aggregation methodologies, and
Externí odkaz:
https://doaj.org/article/49035012fdd241e5b01925bd119e4697
Publikováno v:
Open Research Europe, Vol 3 (2023)
Digital Finance must become the center of academic research in finance if the European financial industry is to remain competitive in the future. We argue that the new interdisciplinary field of Digital Finance should be prioritized based on the stra
Externí odkaz:
https://doaj.org/article/d97dc9eab02640698777a7c17fd5d777
Autor:
Branka Hadji Misheva, David Jaggi, Jan-Alexander Posth, Thomas Gramespacher, Joerg Osterrieder
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Artificial Intelligence (AI) is one of the most sought-after innovations in the financial industry. However, with its growing popularity, there also is the call for AI-based models to be understandable and transparent. However, understandably explain
Externí odkaz:
https://doaj.org/article/632044230c074e6391d55fbf5f09132e
Autor:
Jan-Alexander Posth, Piotr Kotlarz, Branka Hadji Misheva, Joerg Osterrieder, Peter Schwendner
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
The central research question to answer in this study is whether the AI methodology of Self-Play can be applied to financial markets. In typical use-cases of Self-Play, two AI agents play against each other in a particular game, e.g., chess or Go. By
Externí odkaz:
https://doaj.org/article/05e631a4867a4739a8e2c285b8d8e8c4
Modeling financial time series is challenging due to their high volatility and unexpected happenings on the market. Most financial models and algorithms trying to fill the lack of historical financial time series struggle to perform and are highly vu
Externí odkaz:
http://arxiv.org/abs/2107.06008
Autor:
Joerg Osterrieder
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcfd90d30b53bd2476853c6feab59c04
https://doi.org/10.2139/ssrn.4420127
https://doi.org/10.2139/ssrn.4420127
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b53faa2bc7b5c674bb56b0eefbbd65e
https://doi.org/10.2139/ssrn.4317520
https://doi.org/10.2139/ssrn.4317520
Autor:
Joerg Osterrieder
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a901cd2c29a3f44b728d53ff2e1997c
https://doi.org/10.2139/ssrn.4324860
https://doi.org/10.2139/ssrn.4324860