Kei Nakagawa

Orcid: 0000-0001-5046-8128

According to our database1, Kei Nakagawa authored at least 51 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
CFTM: Continuous time fractional topic model.
CoRR, 2024

A Multi-agent Market Model Can Explain the Impact of AI Traders in Financial Markets-A New Microfoundations of GARCH Model.
Proceedings of the PRIMA 2024: Principles and Practice of Multi-Agent Systems, 2024

Lf-Net:Generating Fractional Time-Series with Latent Fractional-Net.
Proceedings of the International Joint Conference on Neural Networks, 2024

Does Executive Compensation with ESG Target Improve Firm's ESG Performance? - Evidence from Japan.
Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024

Optimal Execution Strategy Using Deep Q-Network with Heuristics Policy.
Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024

Dynamic Dual Sparse Topic Model: Integrating Temporal Dynamics and Sparsity with Spike and Slab Priors into Topic Model.
Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024

Relationship Between Qualitative Expressions in MD&A and Managements' Forecast Accuracy.
Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024

Analysis of Investment Behavior of Individual Investors in the FX Market: Influence of FOMC and Beige Book Information.
Proceedings of the 16th IIAI International Congress on Advanced Applied Informatics, 2024

Adaptive Gait Model with Hybrid Control for Mass Production Oriented Exoskeleton.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024

Development of the Control Method of a 3-DOF KinematicBiological Matched Hip Joint Structure for Lower Limb Exoskeleton.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024

2023
Development of an Ankle Assistive Robot with Instantly Gait-Adaptive Method.
J. Robotics Mechatronics, June, 2023

Text Mining of Future Dividend Policy Sentences from Annual Securities Reports.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Multifactor Model with Deep Learning for Currency Investments.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Predicting Financial Asset Returns with Factor and Lead-Lag Relationships: Ridge Regression with Lagged Penalty.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Fact or Opinion? - Essential Value for Financial Results Briefing.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Treasury yield spread prediction with sentiments of Beige Book and macroeconomic data.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

2022
Robotic ankle control can provide appropriate assistance throughout the gait cycle in healthy adults.
Frontiers Neurorobotics, September, 2022

Development of Automatic Controlled Walking Assistive Device Based on Fatigue and Emotion Detection.
J. Robotics Mechatronics, 2022

Time-series gradient boosting tree for stock price prediction.
Int. J. Data Min. Model. Manag., 2022

Investment Strategy via Lead Lag Effect using Economic Causal Chain and SSESTM Model.
Proceedings of the 12th International Congress on Advanced Applied Informatics, 2022

Industry Momentum Strategy Based on Text Mining in the Japanese Stock Market.
Proceedings of the 12th International Congress on Advanced Applied Informatics, 2022

Multiple Portfolio Blending Strategy with Thompson Sampling.
Proceedings of the 12th International Congress on Advanced Applied Informatics, 2022

Enhanced Quantile Portfolio for Multifactor Model with Deep Learning.
Proceedings of the 12th International Congress on Advanced Applied Informatics, 2022

Fractional SDE-Net: Generation of Time Series Data with Long-term Memory.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Taming Tail Risk: Regularized Multiple β Worst-Case CVaR Portfolio.
Symmetry, 2021

Entropy Based Student's t-Process Dynamical Model.
Entropy, 2021

Improving Nonparametric Classification via Local Radial Regression with an Application to Stock Prediction.
CoRR, 2021

Controlling False Discovery Rates Using Null Bootstrapping.
CoRR, 2021

Trader-Company Method: A Metaheuristics for Interpretable Stock Price Prediction.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Deep Portfolio Optimization via Distributional Prediction of Residual Factors.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Impact of Cryptocurrency Market Capitalization on Open Source Software Participation.
J. Inf. Process., 2020

Policy Gradient with Expected Quadratic Utility Maximization: A New Mean-Variance Approach in Reinforcement Learning.
CoRR, 2020

TPLVM: Portfolio Construction by Student's t-process Latent Variable Model.
CoRR, 2020

Identification of B2B Brand Components and Their Performance's Relevance Using a Business Card Exchange Network.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2020

RM-CVaR: Regularized Multiple β-CVaR Portfolio.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

What Do Good Integrated Reports Tell Us?: An Empirical Study of Japanese Companies Using Text-Mining.
Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020

RIC-NN: A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

Cross-sectional Stock Price Prediction using Deep Learning for Actual Investment Management.
Proceedings of the ASSE 2020: Asia Service Sciences and Software Engineering Conference, 2020

How Do We Predict Stock Returns in the Cross-Section with Machine Learning?
Proceedings of the AICCC 2020: 2020 3rd Artificial Intelligence and Cloud Computing Conference, 2020

2019
Complex Valued Risk Diversification.
Entropy, 2019

A Robust Transferable Deep Learning Framework for Cross-sectional Investment Strategy.
CoRR, 2019

Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model.
CoRR, 2019

Deep Learning for Multi-factor Models in Regional and Global Stock Markets.
Proceedings of the New Frontiers in Artificial Intelligence, 2019

Verification of Lead-Lag Effect in Financial Markets by the Adaptive Elastic Net Regression.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Economic Causal Chain and Predictable Stock Returns.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

2018
Deep Factor Model - Explaining Deep Learning Decisions for Forecasting Stock Returns with Layer-Wise Relevance Propagation.
Proceedings of the ECML PKDD 2018 Workshops, 2018

2017
Stock Price Prediction with Fluctuation Patterns Using Indexing Dynamic Time Warping and k^* -Nearest Neighbors.
Proceedings of the New Frontiers in Artificial Intelligence, 2017

2014
Change-related auditory P50: A MEG study.
NeuroImage, 2014

Inhibition of somatosensory-evoked cortical responses by a weak leading stimulus.
NeuroImage, 2014

2012
Impingement type micro fluidic device using electro-conjugate fluid.
Proceedings of the International Symposium on Micro-NanoMechatronics and Human Science, 2012


  Loading...