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 (CIFEr, 2019)

Extraction of Relationship between Japanese and US Interest Rates using Machine Learning Methods. - Yoshiyuki Suimon; Hiroki Sakaji; Takashi Shimada; Kiyoshi Izumi; Hiroyasu Matsushima (IIAI-AAI, 2019)

Estimating Manufacturing Activity via Machine Learning Analysis of High-frequency Electricity Demand Patterns. - Yoshiyuki Suimon; Kiyoshi Izumi; Hiroki Sakaji; Takashi Shimada; Hiroyasu Matsushima (IIAI-AAI, 2020)

Analysis of economic activity using mobile phone GPS data and estimating impact of COVID-19. - Yoshiyuki Suimon; Mikoto Yanai (IIAI-AAI, 2020)

The relationship between Twitter sentiment and mobility during the COVID-19 pandemic. - Yoshiyuki Suimon; Hiroto Tanabe; Kiyoshi Izumi (IEEE Big Data, 2022)

Construction of real-time manufacturing industry production activity estimation models using high-frequency electricity demand data. - Yoshiyuki Suimon; Hiroto Tanabe (CIFEr, 2022)

Treasury yield spread prediction with sentiments of Beige Book and macroeconomic data. - Masaki Fujiwara; Yoshiyuki Suimon; Kei Nakagawa (IIAI-AAI, 2023)

Measuring Japanese Stock Correlation Networks and Application for Investment Strategy. - Nozomu Kobayashi; Yoshiyuki Suimon (IIAI-AAI, 2023)

Using weather-based machine learning approach to estimate retail sales and interpret weather factors. - Yoshiyuki Suimon; Hiroto Tanabe; Kiyoshi Izumi (IIAI-AAI, 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., 2023)

Time series generation for option pricing on quantum computers using tensor network. - Nozomu Kobayashi; Yoshiyuki Suimon; Koichi Miyamoto (CoRR, 2024)