Financing Investment Timing with Real Option Games Intelligent Asset Pricing with Real Option Models 1. The increasing complexity of financial markets, technological innovation, and investment uncertainty has rendered traditional static valuation methods insufficient for modern financial decision-making. In response, advanced frameworks such as Financing Investment with Real Option Games and Intelligent Asset Pricing with Real Option Models have emerged as powerful tools that integrate uncertainty, strategic interaction, and dynamic decision-making. These research topics combine financial economics, game theory, stochastic modeling, and intelligent systems to better explain real-world investment behavior and asset valuation. The significance of these research themes lies not only in their theoretical innovation but also in their strong practical applicability and value for human capital development. By capturing flexibility, strategic behavior, and learning effects, real option–based approaches offer realistic insights into investment financing decisions and intelligent asset pricing in highly uncertain environments. Traditional corporate finance models typically assume deterministic cash flows and passive investment behavior. Financing investment with real option games extends this framework by explicitly modeling investment projects as sequential and flexible decisions under uncertainty, while incorporating strategic interactions among firms, financial institutions, or governments. The first key theoretical contribution is the integration of investment timing and financing structure within a real option game framework. Firms do not merely decide whether to invest, but when to invest and how to finance projects (e.g., equity, debt, public–private partnerships) while considering competitors’ actions. This enables the analysis of preemption, waiting strategies, first-mover advantages, and financing constraints in a unified model. Second, this approach enhances our understanding of strategic financing behavior under uncertainty. Real option games allow researchers to derive equilibrium financing strategies in competitive environments, demonstrating how uncertainty affects leverage decisions, risk-sharing mechanisms, and investment thresholds. Such models expand the classical literature on capital structure and investment competition. Finally, these models contribute to the literature by providing dynamic policy evaluation tools, particularly relevant to infrastructure, innovation, and large-scale investment projects. Governments and regulators can be introduced as strategic players, enabling the analysis of subsidies, guarantees, or regulatory interventions in shaping private investment behavior. 2. Research Participation Period: Two to Six Months. Given the technical and interdisciplinary nature of these research topics, a research participation period of two to six months is considered appropriate and academically justified. Within this timeframe, participants can complete essential tasks such as literature review, model development, analytical or simulation-based analysis, and academic writing or technical reporting. 3. Notice: Participation shorter than two months is generally insufficient for meaningful academic contribution. If the participation period is less than two months, the research participant must provide a specific explanation, such as prior expertise, narrowly defined analytical tasks, or contribution to a clearly delimited component of the research. This principle ensures research quality, academic integrity, and effective training outcomes.