Yoshiyuki Suimon

According to our database, Yoshiyuki Suimon authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Time series generation for option pricing on quantum computers using tensor network.

Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto

CoRR, 2024

2023

The cross-sectional stock return predictions via quantum neural network and tensor network.

Nozomu Kobayashi, Yoshiyuki Suimon, Koichi Miyamoto, Kosuke Mitarai

Quantum Mach. Intell., December, 2023

Using weather-based machine learning approach to estimate retail sales and interpret weather factors.

Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi

Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Measuring Japanese Stock Correlation Networks and Application for Investment Strategy.

Nozomu Kobayashi, Yoshiyuki Suimon

Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Treasury yield spread prediction with sentiments of Beige Book and macroeconomic data.

Masaki Fujiwara, Yoshiyuki Suimon, Kei Nakagawa

Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

2022

Construction of real-time manufacturing industry production activity estimation models using high-frequency electricity demand data.

Yoshiyuki Suimon, Hiroto Tanabe

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

The relationship between Twitter sentiment and mobility during the COVID-19 pandemic.

Yoshiyuki Suimon, Hiroto Tanabe, Kiyoshi Izumi

Proceedings of the IEEE International Conference on Big Data, 2022

2020

Analysis of economic activity using mobile phone GPS data and estimating impact of COVID-19.

Yoshiyuki Suimon, Mikoto Yanai

Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020

Estimating Manufacturing Activity via Machine Learning Analysis of High-frequency Electricity Demand Patterns.

Yoshiyuki Suimon, Kiyoshi Izumi, Hiroki Sakaji, Takashi Shimada, Hiroyasu Matsushima

Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020

2019

Extraction of Relationship between Japanese and US Interest Rates using Machine Learning Methods.

Yoshiyuki Suimon, Hiroki Sakaji, Takashi Shimada, Kiyoshi Izumi, Hiroyasu Matsushima

Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Japanese long-term interest rate forecast considering the connection between the Japanese and US yield curve.

Yoshiyuki Suimon, Hiroki Sakaji, Takashi Shimada, Kiyoshi Izumi, Hiroyasu Matsushima

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019