Masanori Hirano

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Financial Markets

Reinforcement Learning

Top Venues

IIAI-AAI-Winter

Publications

Masanori Hirano, Kentaro Imajo
Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training. CoRR (2024)
Masanori Hirano
Experimental Analysis of Deep Hedging Using Artificial Market Simulations for Underlying Asset Simulators. CoRR (2024)
Masahiro Suzuki, Hiroki Sakaji, Masanori Hirano, Kiyoshi Izumi
Constructing and analyzing domain-specific language model for financial text mining. Inf. Process. Manag. 60 (2) (2023)
Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji
llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology. CoRR (2023)
Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji
From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models. CoRR (2023)
Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji
llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and Its Methodology. NBiS (2023)
Masanori Hirano, Ryosuke Takata, Kiyoshi Izumi
PAMS: Platform for Artificial Market Simulations. CoRR (2023)
Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets. IIAI-AAI (2023)
Masanori Hirano, Kiyoshi Izumi
Neural-network-based parameter tuning for multi-agent simulation using deep reinforcement learning. World Wide Web (WWW) 26 (5) (2023)
Masanori Hirano, Kentaro Imajo, Kentaro Minami, Takuya Shimada
Efficient Learning of Nested Deep Hedging using Multiple Options. IIAI-AAI (2023)
Masanori Hirano, Kentaro Minami, Kentaro Imajo
Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling. ICAIF (2023)
Rawin Assabumrungrat, Kentaro Minami, Masanori Hirano
Error Analysis of Option Pricing via Deep PDE Solvers: Empirical Study. CoRR (2023)
Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji
From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models. BigData (2023)
Masanori Hirano, Kiyoshi Izumi
Efficient Parameter Tuning for Multi-agent Simulation Using Deep Reinforcement Learning. IIAI-AAI-Winter (2022)
Masanori Hirano, Kiyoshi Izumi, Hiroki Sakaji
STBM+: Advanced Stochastic Trading Behavior Model for Financial Markets using Residual Blocks or Transformers. New Gener. Comput. 40 (1) (2022)
Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi
Concept and Practice of Artificial Market Data Mining Platform. CIFEr (2022)
Masanori Hirano, Ryo Wakasugi, Kiyoshi Izumi
Analysis of Demand Response Scenarios by Industrial Consumers Using Artificial Electric Power Market Simulations. IIAI-AAI (2022)
Masanori Hirano, Kiyoshi Izumi
Does Order Simultaneity Affect the Data Mining Task in Financial Markets? - Effect Analysis of Order Simultaneity Using Artificial Market. PRIMA (2022)
Masanori Hirano, Kiyoshi Izumi, Hiroki Sakaji
Implementation of Actual Data for Artificial Market Simulation. AAMAS (2022)
Masanori Hirano, Ryo Wakasugi, Kiyoshi Izumi
Analysis of Carbon Neutrality Scenarios of Industrial Consumers Using Electric Power Market Simulations. PRIMA (2022)
Masanori Hirano, Kiyoshi Izumi
Quantitative Tuning of Artificial Market Simulation using Generative Adversarial Network. ICA (2022)
Masanori Hirano, Kiyoshi Izumi
Parameter Tuning Method for Multi-agent Simulation using Reinforcement Learning. BESC (2022)
Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets. CoRR (2022)
Rei Taguchi, Hikaru Watanabe, Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu
Market Trend Analysis Using Polarity Index Generated from Analyst Reports. IEEE BigData (2021)
Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji
Implementation of Real Data for Financial Market Simulation Using Clustering, Deep Learning, and Artificial Financial Market. PRIMA (2020)
Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji
STBM: Stochastic Trading Behavior Model for Financial Markets. JSAI (2020)
Masanori Hirano, Kiyoshi Izumi, Hiroyasu Matsushima, Hiroki Sakaji
Comparing Actual and Simulated HFT Traders' Behavior for Agent Design. J. Artif. Soc. Soc. Simul. 23 (3) (2020)
Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Taisei Mukai
Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets. PRIMA (2020)
Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato
Related Stocks Selection with Data Collaboration Using Text Mining. Inf. 10 (3) (2019)
Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato
Selection of Related Stocks using Financial Text Mining. ICDM Workshops (2018)