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Exploring the intersection of technology, business, and society.

A Japanese-language book on prediction markets as institutions for both learning about the future and preparing for it, now available on Amazon Kindle.
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Following the same 1,818 Polymarket markets from 30 days to 12 hours before operational closure, this study measures when and by how much Brier loss declines.
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A financial framework that traces generative AI usage through effective work outputs, NOPAT, ROIC, EVA, and firm value while distinguishing AI-related invested capital from AI utilization capital.
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An executive's intuition, an artisan's hands, the thought patterns rooted in culture — a research program for visualizing the human knowledge long considered impossible to formalize, using LLMs as 'measurement instruments.' Centered on quantifying executive tacit knowledge, with extensions into the expression of cultural knowledge.
Read moreCombining TAP wave propagation theory with the 4-character model to describe human cognition, emotion, and decision-making through wave equations. Includes a case study of a new employee's first-day resignation.
Read moreAs AI replaces many sales tasks, what only humans can do becomes clearer: trust, empathy, and intelligence. A new academic field built on axiomatic foundations to systematically understand sales phenomena.
Read moreAn empirical study examining whether machine learning-based strategy allocation adds value over traditional portfolio construction methods such as Equal Weight and Risk Parity.
Read moreThis research establishes ROIC as the core metric of corporate value creation, clarifies its relationship with EP and DCF models, and presents an integrated reverse ROIC tree framework connecting frontline KPIs with corporate strategy.
Read moreBy formalizing the aging ratio mathematically, this research derives four structural mechanisms of industrial transformation—automation, consolidation, healthcare, and local commerce—and systematically identifies which sectors gain structural advantage.
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Research to clarify activity characteristics of investor types and detailed behavior patterns of activists by utilizing Report of Large Possession database and Natural Language Processing (NLP).
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This research focuses on the analysis, development, and composition of funds for large-scale practical operations by integrating unique alpha analysis models, optimization models, and Large Language Models (LLMs).
Read moreA simulation model that reproduces realistic asset return stochastic processes by comprehensively considering common factors, seasonality effects, policy cycles, market environment shocks, and time-varying correlation structures.
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Research to mathematically clarify the mechanism of corporate value creation through engagement activities and provide a quantitative decision-making framework.
Read moreBased on Case-Based Decision Theory, past experiences can be used to predict future investment styles. This research examines whether this approach is applicable to practical asset management.
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Research statistically verifying risk reduction and Sharpe ratio improvement effects of multi-strategy investment using bootstrap methods and Monte Carlo simulations.
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Research developing quantitative evaluation methods for intangible assets including organizational capability and culture, and analyzing their relationship with corporate value creation.
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Other Research Projects
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Research aiming to establish new management and social philosophies to link the development of AI technology to the true happiness of people.
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Research to clarify the essence of the International Integrated Reporting Framework (IIRC) and provide a systematic framework for value creation discussions in the boardroom.
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Construction of human capital evaluation database based on Toyo Keizai CSR data, and research on alpha factors through integration with stock analysis systems.
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