Masanori Hirano

According to our database, Masanori Hirano authored at least 25 papers between 2018 and 2023.

Collaborative distances:

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

2023

Neural-network-based parameter tuning for multi-agent simulation using deep reinforcement learning.

Masanori Hirano, Kiyoshi Izumi

World Wide Web (WWW), September, 2023

Constructing and analyzing domain-specific language model for financial text mining.

Masahiro Suzuki, Hiroki Sakaji, Masanori Hirano, Kiyoshi Izumi

Inf. Process. Manag., 2023

Error Analysis of Option Pricing via Deep PDE Solvers: Empirical Study.

Rawin Assabumrungrat, Kentaro Minami, Masanori Hirano

CoRR, 2023

PAMS: Platform for Artificial Market Simulations.

Masanori Hirano, Ryosuke Takata, Kiyoshi Izumi

CoRR, 2023

llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and Its Methodology.

Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji

Proceedings of the Advances in Networked-based Information Systems, 2023

Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets.

Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi

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

Efficient Learning of Nested Deep Hedging using Multiple Options.

Masanori Hirano, Kentaro Imajo, Kentaro Minami, Takuya Shimada

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

Adversarial Deep Hedging: Learning to Hedge without Price Process Modeling.

Masanori Hirano, Kentaro Minami, Kentaro Imajo

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models.

Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji

Proceedings of the IEEE International Conference on Big Data, 2023

2022

STBM+: Advanced Stochastic Trading Behavior Model for Financial Markets using Residual Blocks or Transformers.

Masanori Hirano, Kiyoshi Izumi, Hiroki Sakaji

New Gener. Comput., 2022

Analysis of Carbon Neutrality Scenarios of Industrial Consumers Using Electric Power Market Simulations.

Masanori Hirano, Ryo Wakasugi, Kiyoshi Izumi

Proceedings of the PRIMA 2022: Principles and Practice of Multi-Agent Systems, 2022

Does Order Simultaneity Affect the Data Mining Task in Financial Markets? - Effect Analysis of Order Simultaneity Using Artificial Market.

Masanori Hirano, Kiyoshi Izumi

Proceedings of the PRIMA 2022: Principles and Practice of Multi-Agent Systems, 2022

Analysis of Demand Response Scenarios by Industrial Consumers Using Artificial Electric Power Market Simulations.

Masanori Hirano, Ryo Wakasugi, Kiyoshi Izumi

Proceedings of the 12th International Congress on Advanced Applied Informatics, 2022

Efficient Parameter Tuning for Multi-agent Simulation Using Deep Reinforcement Learning.

Masanori Hirano, Kiyoshi Izumi

Proceedings of the 2022 13th International Congress on Advanced Applied Informatics Winter, 2022

Quantitative Tuning of Artificial Market Simulation using Generative Adversarial Network.

Masanori Hirano, Kiyoshi Izumi

Proceedings of the IEEE International Conference on Agents, 2022

Concept and Practice of Artificial Market Data Mining Platform.

Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi

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

Parameter Tuning Method for Multi-agent Simulation using Reinforcement Learning.

Masanori Hirano, Kiyoshi Izumi

Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

Implementation of Actual Data for Artificial Market Simulation.

Masanori Hirano, Kiyoshi Izumi, Hiroki Sakaji

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Market Trend Analysis Using Polarity Index Generated from Analyst Reports.

Rei Taguchi, Hikaru Watanabe, Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Comparing Actual and Simulated HFT Traders' Behavior for Agent Design.

Masanori Hirano, Kiyoshi Izumi, Hiroyasu Matsushima, Hiroki Sakaji

J. Artif. Soc. Soc. Simul., 2020

Implementation of Real Data for Financial Market Simulation Using Clustering, Deep Learning, and Artificial Financial Market.

Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji

Proceedings of the PRIMA 2020: Principles and Practice of Multi-Agent Systems, 2020

Simulation of Unintentional Collusion Caused by Auto Pricing in Supply Chain Markets.

Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Taisei Mukai

Proceedings of the PRIMA 2020: Principles and Practice of Multi-Agent Systems, 2020

STBM: Stochastic Trading Behavior Model for Financial Markets.

Masanori Hirano, Hiroyasu Matsushima, Kiyoshi Izumi, Hiroki Sakaji

Proceedings of the Advances in Artificial Intelligence, 2020

2019

Related Stocks Selection with Data Collaboration Using Text Mining.

Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato

Inf., 2019

2018

Selection of Related Stocks using Financial Text Mining.

Masanori Hirano, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi, Hiroyasu Matsushima, Shintaro Nagao, Atsuo Kato

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018