Refine
Year of publication
- 2021 (21) (remove)
Document Type
- Article (13)
- Book (4)
- Review (2)
- Part of a Book (1)
- Conference Proceeding (1)
Keywords
- Cross-platform (1)
- Evaluation (1)
- Mobile web (1)
- PWA (1)
- Progressive Web App (1)
Institute
- Fachbereich Wirtschaftswissenschaften (21) (remove)
Bitcoin is a cryptocurrency and is considered a high-risk asset
class whose price changes are difficult to predict. Current research focusses
on daily price movements with a limited number of predictors. The paper at
hand aims at identifying measurable indicators for Bitcoin price movement s
and the development of a suitable forecasting model for hourly changes. The
paper provides three research contributions. First, a set of significant
indicators for predicting the Bitcoin price is identified. Second, the results of
a trained Long Short-term Memory (LSTM) neural network that predicts
price changes on an hourly basis is presented and compared with other
algorithms. Third, the results foster discussions of the applicability of neural
nets for stock price predictions. In total, 47 input features for a period of
over 10 months could be retrieved to train a neural net that predicts the
Bitcoin price movements with an error rate of 3.52 %.
Inhaltsverzeichnis
1. Whistleblowing – Chancen & Risiken von Hinweisgebersystemen aus Arbeitnehmer- und Arbeitgebersicht
– Michelle Abraham 3-70
2. Die Bedeutung und rechtliche Bewertung von Vesting-Klauseln bei der Venture-Capital Finanzierung einer Start-Up GmbH
– Natalia Ahmadian 71-137
3. Bewertung der Möglichkeit zur Einführung von Tarifverträgen im deutschen Berufsfußball
– Thomas Büttgenbach 138-190
4. Pflichten und Haftungsrisiken des GmbH-Geschäftsführers bei Compliance-Verstößen
– Naja Keller 191-234
5. Aktienrückkäufe auf dem deutschen Markt nach der Finanzkrise 2008/2009
– Marc Paumer 235-287
6. Will Germany reach its 2030 climate goals in the transportation sector? – An investigation focusing on the new German Emission Trading System
– Axel Plum 288-369