AI in finance refers to the applications of AI techniques in financial businesses. This area has
attracted attention for decades, with both classic and modern AI techniques applied to …

Financial technology (FinTech) has been playing an increasingly critical role in driving
modern economies, society, technology, and many other areas. Smart FinTech is the new …

Machine learning, as a tool, has become critical for decision-making mechanisms in the
modern world. It has applications in a wide range of areas, including finance, healthcare …

Stock price prediction has been an important research theme both academically and
practically. Various methods to predict stock prices have been studied until now. The feature …

Cross-sectional strategies are a classical and popular trading style, with recent high
performing variants incorporating sophisticated neural architectures. While these strategies …

In recent years, machine learning for trading has been widely studied. The direction and size
of position should be determined in trading decisions based on market conditions. However …

Machine learning is an increasingly popular tool with some success in predicting stock
prices. One promising method is the Trader-Company (TC) method, which takes into …

In the fields of academic and practical finance, many text mining approaches have been
used. The economic causal chain is one example and refers to a cause-and-effect network …

In this paper, we focus on the generation of time-series data using neural networks. It is often
the case that input time-series data have only one realized (and usually irregularly sampled) …

The remarkable achievements and rapid advancements of Large Language Models (LLMs)
such as ChatGPT and GPT-4 have showcased their immense potential in quantitative …