5 citations · 5 across the 1 of their papers we have counts for
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q-fin.ST2023★ 5 cited
Linking microblogging sentiments to stock price movement: An application of GPT-4
Rick Steinert, Saskia Altmann
This paper investigates the potential improvement of the GPT-4 Language Learning Model (LLM) in comparison to BERT for modeling same-day daily stock price movements of Apple and Te…
q-fin.ST2020
Company classification using machine learning
Sven Husmann, Antoniya Shivarova, Rick Steinert
The recent advancements in computational power and machine learning algorithms have led to vast improvements in manifold areas of research. Especially in finance, the application o…
q-fin.ST2018
Short- to Mid-term Day-Ahead Electricity Price Forecasting Using Futures
Rick Steinert, Florian Ziel
Due to the liberalization of markets, the change in the energy mix and the surrounding energy laws, electricity research is a dynamically altering field with steadily changing chal…