Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Izumi, Kiyoshi"'
Recently, Large Language Models (LLMs) have attracted significant attention for their exceptional performance across a broad range of tasks, particularly in text analysis. However, the finance sector presents a distinct challenge due to its dependenc
Externí odkaz:
http://arxiv.org/abs/2406.10811
Causality is fundamental in human cognition and has drawn attention in diverse research fields. With growing volumes of textual data, discerning causalities within text data is crucial, and causal text mining plays a pivotal role in extracting meanin
Externí odkaz:
http://arxiv.org/abs/2402.14484
This paper presents a new artificial market simulation platform, PAMS: Platform for Artificial Market Simulations. PAMS is developed as a Python-based simulator that is easily integrated with deep learning and enabling various simulation that require
Externí odkaz:
http://arxiv.org/abs/2309.10729
This study proposes a new generative adversarial network (GAN) for generating realistic orders in financial markets. In some previous works, GANs for financial markets generated fake orders in continuous spaces because of GAN architectures' learning
Externí odkaz:
http://arxiv.org/abs/2204.13338
Publikováno v:
In World Patent Information December 2023 75
The relation between the number of passengers in the main stations and the infection rate of COVID19 in Tokyo is empirically studied. Our analysis based on conventional compartment model suggests: 1) Average time from the true day of infection to the
Externí odkaz:
http://arxiv.org/abs/2008.07791
A linear multi-factor model is one of the most important tools in equity portfolio management. The linear multi-factor models are widely used because they can be easily interpreted. However, financial markets are not linear and their accuracy is limi
Externí odkaz:
http://arxiv.org/abs/1901.11493
Publikováno v:
In Information Processing and Management March 2023 60(2)
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